{"data":{"id":"10.5061/dryad.9zw3r22tn","type":"dois","attributes":{"doi":"10.5061/dryad.9zw3r22tn","prefix":"10.5061","suffix":"dryad.9zw3r22tn","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Kristensen, Anders M.","nameType":"Personal","givenName":"Anders M.","familyName":"Kristensen","affiliation":["Aarhus University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-7066-6989","nameIdentifierScheme":"ORCID"}]},{"name":"Bordoni, Luca","nameType":"Personal","givenName":"Luca","familyName":"Bordoni","affiliation":["Aarhus University","University of Oslo"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-2428-0874","nameIdentifierScheme":"ORCID"}]},{"name":"Nielsen, Marie B.","nameType":"Personal","givenName":"Marie B.","familyName":"Nielsen","affiliation":["Aarhus University Hospital"],"nameIdentifiers":[]},{"name":"Faivre, Anna","nameType":"Personal","givenName":"Anna","familyName":"Faivre","affiliation":["Aarhus University"],"nameIdentifiers":[]},{"name":"Kidmose, Hanne","nameType":"Personal","givenName":"Hanne","familyName":"Kidmose","affiliation":["Aarhus University"],"nameIdentifiers":[]},{"name":"Sardella, Donato","nameType":"Personal","givenName":"Donato","familyName":"Sardella","affiliation":["Aarhus University"],"nameIdentifiers":[]},{"name":"Shipman, Katherine E.","nameType":"Personal","givenName":"Katherine E.","familyName":"Shipman","affiliation":["University of Pittsburgh School of Medicine"],"nameIdentifiers":[]},{"name":"Krogstrup, Nicoline","nameType":"Personal","givenName":"Nicoline","familyName":"Krogstrup","affiliation":["Aarhus University"],"nameIdentifiers":[]},{"name":"Størling, Joachim","nameType":"Personal","givenName":"Joachim","familyName":"Størling","affiliation":["Steno Diabetes Center Copenhagen"],"nameIdentifiers":[]},{"name":"Birn, Henrik","nameType":"Personal","givenName":"Henrik","familyName":"Birn","affiliation":["Aarhus University Hospital","Aarhus University"],"nameIdentifiers":[]},{"name":"Enger, Rune","nameType":"Personal","givenName":"Rune","familyName":"Enger","affiliation":["University of Oslo","Oslo University Hospital"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-9418-7117","nameIdentifierScheme":"ORCID"}]},{"name":"Schiessl, Ina","nameType":"Personal","givenName":"Ina","familyName":"Schiessl","affiliation":["Aarhus University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-1613-2000","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"In vivo expression of VCAM1 precedes nephron loss following kidney tubular necrosis"}],"publisher":"Dryad","container":{},"publicationYear":2025,"subjects":[{"subject":"FOS: Basic medicine","schemeUri":"https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf","subjectScheme":"fos"},{"subject":"FOS: Basic medicine","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Acute renal failure","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"In vivo imaging","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"Fibrosis","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"}],"contributors":[],"dates":[{"date":"2025-07-22T07:45:03Z","dateType":"Created"},{"date":"2025-07-22T07:55:00Z","dateType":"Submitted"},{"date":"2025-09-19T00:00:00Z","dateType":"Issued"},{"date":"2025-09-19T00:00:00Z","dateType":"Available"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsDerivedFrom","relatedIdentifier":"10.5281/zenodo.16353892","relatedIdentifierType":"DOI"},{"relationType":"IsCitedBy","relatedIdentifier":"10.1126/sciadv.adz5358","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["56241723241 bytes"],"formats":[],"version":"7","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Nephron loss is a key event during the onset and progression of chronic\n kidney disease, yet the mechanisms determining whether tubules undergo\n successful repair or progress to atrophy remain poorly understood. While\n fibrosis has been proposed to drive progressive organ damage, antifibrotic\n therapies have failed in clinical trials. Here, we reveal that tubular\n VCAM1-expression precedes nephron loss, fibrosis, and long-term kidney\n dysfunction. Using serial intravital microscopy in transgenic mice, we\n track tubulointerstitial remodeling between injured and intact tissue over\n 3 weeks. VCAM1 is rapidly induced in a distinct subset of injured tubules,\n preceding atrophy with sustained fibroblast recruitment. However,\n fibroblasts remain confined to injury sites and do not cause secondary\n damage in uninjured tubules. Finally, in human kidney transplant biopsies,\n tubular VCAM1 expression - but not KIM1 - correlates negatively with early\n and 12-month graft function, underscoring its potential as a biomarker of\n adverse outcomes. These findings position VCAM1 as an early indicator of\n tubular fate and nephron loss.","descriptionType":"Abstract"},{"description":"\u003cstrong\u003eStudy Approval\u003c/strong\u003e\n All experimental procedures involving animals were approved by\n the local authorities (Animal Experiments Inspectorate, Denmark, permit\n numbers: 2020-15-0201-00443 and 2024-15-0201-01839) and reported according\n to ARRIVE guidelines. Processing of human samples and data was approved by\n the National Committee on Health Research Ethics (M-20100269). Informed\n and written content was obtained from the participants. The trial was\n conducted according to the Helsinki Declaration.\n \u003cstrong\u003eAnimals\u003c/strong\u003e A total\n of 60 (26 male and 34 female) mice with a mean weight of 22.3 ± 0.5 g and\n age of 12.6 ± 0.6 weeks (mean ± SEM) were included in the study (Tables S1\n and 2). Transgenic mice were obtained from Jax Laboratory and bred in the\n animal facilities at the Department of Biomedicine, Aarhus University:\n PDGFRβCre-ERT2 – Salsa6F reporter mice were generated by crossing\n B6.Cg-Tg(PDGFrβ-cre/ERT2)6096Rha/J (Strain #:030201)\n \u003csup\u003e27\u003c/sup\u003e and\n B6(129S4)-Gt(ROSA)26Sortm1.1(CAG-tdTomato/GCaMP6f)Mdcah/J)] (Strain #:\n 031968) \u003csup\u003e28\u003c/sup\u003e. After induction with tamoxifen, this\n strain identifies  PDGFRβcells by Salsa6F, a fusion protein of GCaMP6 and\n tdTomato. Additionally, CycB1-GFP reporter mice\n (Tg(Pgk1-Ccnb1/EGFP)1Aklo/J) (Strain #: 023345) \u003csup\u003e36\u003c/sup\u003e\n were used to detect renal cell proliferation through transient\n nuclear/cytosolic expression of  green fluorescent protein (GFP)\n expression stages S-, G2- and M of the cell cycle. Mice\n were randomly allocated to one of three groups; i) in vivo imaging, ii)\n GFR and urine collection and iii) ex vivo imaging, as summarized in Table\n S2. Group i) was further divided into mice undergoing partial IRI surgery,\n sham surgery or laser injury, respectively. Groups ii) and iii) were\n divided into mice undergoing partial IRI surgery and sham surgery.\n Additionally, some mice from group i) were also used for ex vivo\n correlative microscopy upon sacrificing. Our study design precluded\n blinding of the experimental treatment, as the validation of surgical\n outcomes required close microscopic examination during the procedure.\n Serial intravital microscopy of partial IRI animals was challenged by\n strong tissue remodeling that sometimes caused missing data points from\n late acquisition time points. To compensate for missing data points, we\n included higher n-numbers in the partial IRI group. For statistical\n analysis all available serial imaging data was included. No data was\n excluded.\n \u003cstrong\u003eSurgery\u003c/strong\u003e Prior to\n surgery mice were accommodated in groups of 2 to 5 within ventilated cages\n (Technoplast model GM500 or GM9000) at 21 ± 2°C and 55 ± 10% relative\n humidity. Littermates were weaned at 3 weeks of age. Mice were maintained\n on a standardized 12-hour light-dark diurnal cycle, with unrestricted\n access to standard diet and water. The bedding material consisted of Aspen\n wood chips measuring 2-3 mm in size (Abedd, bedding midi), complemented by\n compressed cotton tubes for nesting purposes. Cages were enriched with\n Mouse Igloo with spinning wheels, wooden chew sticks, cardboard tubes, and\n Shepherd Shacks. Upon surgery, Mouse Igloo and cardboard tubes were\n replaced by cardbox houses to prevent the abdominal image window from\n getting stuck. Cages were routinely cleaned once a week. To investigate\n whether (myo)fibroblasts engage in progressive and self-perpetuating\n tubulointerstitial fibrosis, two individual surgery procedures were\n performed. First, an unilateral partial ischemia-reperfusion injury (IRI)\n was done by occluding one branch of the left renal artery for 21 min, as\n previously described \u003csup\u003e7\u003c/sup\u003e. Second, a winged abdominal\n image window (wAIW) was placed above the postischemic and non-ischemic\n parts of the partial IRI kidney and implanted into the left flank of the\n mouse as described previously \u003csup\u003e29, 63\u003c/sup\u003e. Thus, it was\n possible to image the border between the ischemic and non-ischemic\n regions. During surgery mice received analgesia through\n intraperitoneal administration of buprenorphine (0.1 mg/ kg BW, Temgesic),\n and anesthetized with isoflurane (3.5% for induction, 1.5–1.75% for\n maintenance, 1.2-1.8 L/min flow rate, 50% oxygen in medical air). Surgery\n was conducted on a heating plate set to 37 ± 0.5°C, while eye ointment\n prevented cornea dehydration. The mouse’s left flank was shaved, and the\n skin was disinfected using chlorhexidine (0.5 % in 70% ethanol). Hereafter\n an incision into the left flank exposed the kidney. The kidney was gently\n repositioned, and the right artery branch was occluded with a clamp for 21\n minutes. During occlusion, kidney temperature, and hydration were\n maintained with a nonwoven swab and occasional flushing with 37°C saline\n \u003csup\u003e29\u003c/sup\u003e. Upon reperfusion, a purse-string suture\n connected the muscle layer and the skin around the incision, and the\n kidney glued to the wAIW using 50 μl cyanoacrylate glue. Lastly, the skin\n was secured around the groove of the wAIW by tightening of the\n purse-string suture \u003csup\u003e68\u003c/sup\u003e. 10 μl/g BW sterile saline\n was injected i.p. for fluid supplementation. Following the image session\n at day 0, meloxicam (1 mg/kg BW meloxicam, Metacam) was administrated s.c.\n as postoperative analgesia as well as at days 1 and 2 post surgery.\n Additionally, mice had restricted access to normal drinking water but had\n to drink water containing buprenorphine (1 ml buprenorphine 0.3 mg/ml to\n 35 ml water) until 3 days post-surgery.\n \u003cstrong\u003eImage acquisition protocol\u003c/strong\u003e\n In vivo imaging was conducted using an upright Olympus FVMPE-RS\n 2-photon microscope (Olympus, Japan) operated with Fluoview FV31S software\n (Olympus, Japan), and an upright Ultima Investigator Plus multiphoton\n setup (Bruker Corporation, Billerica, MA, USA) with PraireView IV software\n as described previously \u003csup\u003e7\u003c/sup\u003e. The\n Olympus microscope was equipped with a MaiTaiHP DS-OL excitation laser\n (Spectra Physics, United States), a 25X XLPLN25xWMP2 objective, water\n immersion, (Olympus, Japan, NA 1.05; WD 2.00mm), with an IR cut filter of\n 690 nm, and the following detection cubes: Ch1: λet = 705/45 nm\n (multialkali PMT), Ch2: λet = 610/35 nm (multialkali PMT), Ch3: λet =\n 540/40 (GaAsP), Ch4: λet = 480/40 (GaAsP). The Bruker\n microscope was equipped with a 20X Olympus XLUMPLFLN Objective, water\n immersion (Olympus, Japan, NA 1.00; WD 2.00mm), a 720 sp filter, and the\n following detection cubes: Ch1: λet=525/50 nm (GaAsP), Ch2: λet= 525/50 nm\n (GaAsP), Ch3: λet= 460/50 nm (GaAsP). Prior to imaging,\n 1 μl/g body weight of a 2.5 mg/ml conjugated Albumin-Alexa Fluor 594 dye\n solution (Alexa594-albumin, Invitrogen) and 10 μl of propidium iodide (PI,\n 0.25 mg/ml, Thermo Fisher) was administered via retro-orbital injection.\n For imaging, the wAIW implant was slotted into a custom 3D-printed frame\n ensuring image stabilization on an upright microscope setup\n \u003csup\u003e64\u003c/sup\u003e. During imaging, anesthesia and temperature were\n maintained with a low-flow (30–50 ml/min, 1.0–1.5%) isoflurane vaporizer\n (SomnoSuite, Kent Scientific), which was equipped with a heating blanket\n placed beneath the animal. We identified ≈ 4 FOV, which\n were imaged using dual-track excitation using 750 nm and 940 nm,\n respectively (512 x 512, dwell time: 4 μs, line averaging x 2, Galvano\n laser). Z-series, with a step size of 1-2 μm and depth of ≈ 60 μm, were\n acquired from each FOV, starting from the capsule. Upon the end of the\n image session, mice recovered from anesthesia and placed back in their\n cage. This process was repeated for each imaging day as detailed in Table\n S2. To induce selective laser-injury in a few nephrons\n within the otherwise healthy PDGFRβ-CreERT2-tdTomato kidneys (n = 4), we\n used the 2-photon laser as a micromanipulator and focused high laser power\n on a kidney region of approximately 60 um\u003csup\u003e2\u003c/sup\u003e. Tissue\n remodeling at the injury site was then monitored via serial in vivo\n imaging for up to 4 weeks as detailed in Tables S1 and 2. At some image\n sessions, a tile scan approach was utilized if the damaged area exceeded\n the normal FOV. These tiles were later stitched using the cell sense\n software (Olympus, Japan). After the last imaging\n session, mice were anesthetized with isoflurane and perfusion-fixated with\n 4% PFA. For correlative microscopy the cortical renal area attached to the\n wAIW was separated as a ≈ 2 mm thick tissue section, post-fixated with 4%\n PFA for 1 hour, and then washed in PBS (3 x 5 min). Whereafter they were\n stained ex vivo. \u003cstrong\u003eImage\n analysis\u003c/strong\u003e During the analysis, all\n tubular segments from each FOV were sequentially numbered, re-identified\n on consecutive imaging time points, and qualitatively assessed for\n categorization into one of the following classifications:\n 'undamaged,' 'damaged,' 'recovered,' or\n 'atrophic'. Tubular segments were classified as\n 'damaged' if they exhibited any of the following criteria:\n positive staining for propidium iodide, dilated or collapsed tubule lumen,\n luminal granular cast accumulation, flattened tubule epithelium, visually\n decreased NADH autofluorescence and/or, in the case of PT-S1, visually\n reduced albumin endocytosis. 'Undamaged' tubule segments were\n defined by the absence of all characteristics mentioned above. Tubule\n segments were classified as 'atrophic' if they adopted a\n strongly collapsed, non-reversible state with decreased NADH\n autofluorescence. ‘Recovered’ tubules were identified with any of the\n damage characteristics outlined above and later adopted an ‘undamaged’\n state. Additionally, atrophic’ tubule segments were further sub-classified\n as 'degraded' if they completely disappeared. The classification\n of individual tubule segments across consecutive imaging time points was\n performed and confirmed by two experimenters. Denoising\n of images was conducted using the BM3D algorithms ^70 ^as previously\n described \u003csup\u003e69\u003c/sup\u003e. In short, a denoising pipeline was\n created utilizing both FIJI \u003csup\u003e75\u003c/sup\u003e and MATLAB. FIJI\n facilitated batch data input/output, handled multichannel images, and\n merged denoised outputs. MATLAB executed BM3D algorithms, processing one\n channel at a time by reading temporary files written on disk by FIJI and\n producing the denoised data in separate temporary files.\n Registration of serial imaging data was performed using a\n combination of a manual landmark-based volumetric registration within the\n FIJI plugin BigWarp using rigid rotation transforms\n \u003csup\u003e76\u003c/sup\u003e, and intensity-based medical image registration\n using Elastix \u003csup\u003e38\u003c/sup\u003e. To quantify\n PDGFRβ-cell accumulation, two different approaches were utilized. In the\n first method, PDGFRβ-cells were segmented using Ilastik\n \u003csup\u003e77\u003c/sup\u003e (v5.1.0). Here, tdTomato-labeled PDGFRβ-cells\n were segmented from the registered 940 tracks using pixel classification.\n To train Ilastik, labels were assigned to Z-stack images to identify\n structures/cells as either tdTomato-positive or negative cells. Following\n exportation of the 2D Ilastik predictions, a threshold was applied using\n the Otsu method \u003csup\u003e78\u003c/sup\u003e, whereafter the percentage of\n the of tdTomato cell area was assessed relative to the total FOV area\n (Figures S2B, C). This approach provided an unbiased quantification of\n PDGFRβ-cell abundance on a per FOV basis. In the second\n method, the perimeter of each individual tubule was measured for each day\n equivalating 6903individual measurements. Afterward, it was measured how\n much of the tubule in question was in touch with surrounding PDGFRβ-cells\n and PDGFRβ-cell enclosure was expressed in percent of the total perimeter\n of the tubule (Figure 2E). This approach provided insights into\n PDGFRβ-cell dynamics with individual tubules. Second\n harmonic generation (SHG) was quantified following image segmentation\n using Ilastik. The software was trained to recognize SHG signals from 940\n tracks. Following the export of the 2D Ilastik predictions, a threshold\n was applied using the Otsu method, after which the percentage of the SHG\n area was evaluated relative to the total FOV area. All SHG analysis was\n done on decapsulated, ex vivo samples to avoid bias when separating\n interstitial SHG signal from SHG signal deriving from the kidney\n capsule.  NADH signal quantification was only performed\n on images acquired on the Olympus system to maintain consistent detection\n optics for the quantification. In 750 nm excitation track data, a ROI was\n manually drawn around the epithelium of each tubule, and the average\n intensity of channel 4 was measured.","descriptionType":"Methods"},{"description":"# In vivo expression of VCAM1 precedes nephron loss following kidney\n tubular necrosis Dataset DOI:\n [10.5061/dryad.9zw3r22tn](10.5061/dryad.9zw3r22tn) ## Description of the\n data and file structure `File: Dataset_001_Partial_IRI.zip` **# Data\n Description** Using serial intravital microscopy of transgenic mice, we\n tracked the interactions of renal fibroblasts and pericytes with injured\n and uninjured tubules over 3 weeks and tested whether fibrosis preceded\n secondary tubular damage in uninjured tissue. To achieve this, we used a\n model of partial ischemia-reperfusion injury (partial IRI), which resulted\n in rapid and abundant tubule atrophy and fibrosis in approximately half of\n the kidney while demonstrating uninjured renal tissue in the other half.\n **# Experimental Setup and Protocol Information:** Transgenic\n PDGFRβCre-ERT2–Salsa6F reporter mice were generated by crossing\n B6.Cg-Tg(PDGFrβ-cre/ERT2)6096Rha/J (The Jackson Laboratory, Strain\n #:030201) and B6(129S4)-Gt(ROSA)26Sortm1.1(CAG-tdTomato/GCaMP6f)Mdcah/J)]\n (The Jackson Laboratory , Strain #: 031968). A partial IRI was performed\n in the mice, which was followed by an abdominal imaging window (AIW)\n implementation, and serial intravital imaging under isoflurane anaesthesia\n for up to 21 days post-IRI. **# Experimental Equipment** In vivo 2-photon\n imaging was performed using two setups: 1\\) Upright Olympus FVMPE-RS\n 2-photon microscope (Olympus, Japan) equipped with MaiTai HP DS-OL\n excitation laser (Spectra Physics, United States), XLPLN25xWMP2 objective\n (Olympus, Japan, NA 1.05; WD 2.00 mm). Excitation wavelengths used were\n 750 nm and 940 nm. 2\\) Chamelion Ultra II Coherent Laser and an Ultima\n Investigator Plus multiphoton setup (Bruker Corporation, Billerica, MA,\n USA) with PraireView IV software in upright objective configuration (20X\n Olympus XLUMPLFLN Objective, water immersion, 1.00 NA, 2.0 mm WD).\n Excitation wavelengths used were 750 nm and 940 nm. Emission signal was\n detected after a 720sp filter on 3 GaAsP (Hamamatsu, H7422-40)\n photomultipliers (Ch1: λet = 525/50 nm, Ch2: λet = 525/50 nm, Ch3: λe t=\n 460/50 nm). Subject IDs: 008, 009, 010. `File:\n Dataset_002_Laser_Injury.zip` **# Data Description** To explore the\n dynamics of fibroblasts in a locally restricted injury model, we used\n serial *in vivo* imaging via two-photon microscopy and genetic\n identification of PDGFRβ cells in kidneys undergoing laser-induced tubular\n injury. **# Experimental Setup and Protocol Information:** Transgenic\n PDGFRβCre-ERT2–Salsa6F reporter mice were generated by crossing\n B6.Cg-Tg(PDGFrβ-cre/ERT2)6096Rha/J (The Jackson Laboratory, Strain\n #:030201) and B6(129S4)-Gt(ROSA)26Sortm1.1(CAG-tdTomato/GCaMP6f)Mdcah/J)]\n (The Jackson Laboratory , Strain #: 031968). An abdominal imaging window\n (AIW) was implemented in the mice, which was followed by a laser-induced\n tubular injury and serial intravital imaging performed under isoflurane\n anesthesia for up to 28 days. **# Experimental Equipment** *In vivo*\n 2-photon imaging was performed using an upright Olympus FVMPE-RS 2-photon\n microscope (Olympus, Japan) equipped with MaiTai HP DS-OL excitation laser\n (Spectra Physics, United States), XLPLN25xWMP2 objective (Olympus, Japan,\n NA 1.05; WD 2.00 mm), and the following detection cubes: Ch1: λet = Empty,\n Ch2: λet = 610 ± 35 nm (multialkali PMT), Ch3: λet = 540 ± 20 nm (GaAsP),\n Ch4: λet = 480 ± 20 nm (GaAsP). `File: Dataset_003_Control.zip` Serial\n intravital imaging via 2-photon microscopy and genetic identification of\n PDGFRβ cells in kidneys undergoing sham ischemia-reperfusion injury (IRI)\n surgery. **# Experimental Setup and Protocol Information:** Transgenic\n PDGFRβCre-ERT2–Salsa6F reporter mice were generated by crossing\n B6.Cg-Tg(PDGFrβ-cre/ERT2)6096Rha/J (The Jackson Laboratory, Strain\n #:030201) and B6(129S4)-Gt(ROSA)26Sortm1.1(CAG-tdTomato/GCaMP6f)Mdcah/J)]\n (The Jackson Laboratory, Strain #: 031968). A sham IRI surgery was\n performed in the mice, which was followed by an abdominal imaging window\n (AIW) implementation, and serial intravital imaging under isoflurane\n anaesthesia for up to 21 days post surgery. **# Experimental Equipment**\n In vivo 2-photon imaging was performed using two setups: 1\\) Upright\n Olympus FVMPE-RS 2-photon microscope (Olympus, Japan) equipped with MaiTai\n HP DS-OL excitation laser (Spectra Physics, United States), XLPLN25xWMP2\n objective (Olympus, Japan, NA 1.05; WD 2.00 mm). Excitation wavelengths\n used were 750 nm and 940 nm. 2\\) Chamelion Ultra II Coherent Laser and an\n Ultima Investigator Plus multiphoton setup (Bruker Corporation, Billerica,\n MA, USA) with PraireView IV software in upright objective configuration\n (20X Olympus XLUMPLFLN Objective, water immersion, 1.00 NA, 2.0 mm WD).\n Excitation wavelengths used were 750 nm and 940 nm. Emission signal was\n detected after a 720sp filter on 3 GaAsP (Hamamatsu, H7422-40)\n photomultipliers (Ch1: λet = 525/50 nm, Ch2: λet = 525/50 nm, Ch3: λe t=\n 460/50 nm). Subject IDs: 008, 009, 010. `File: Dataset_004_Vcam1KIM1.zip`\n Ex vivo imaging of human biopsies from kidney transplantations stained for\n Kim1 and Vcam1. **# Experimental Setup and Protocol Information:**\n Biopsies were obtained from patients undergoing kidney transplantation.\n The biopsy was taken from the transplanted kidney 6 days\n post-transplantation. Human biopsies were stained for Kim1 and Vcam1. The\n primary antibody, Rabbit anti-VCAM1 (Abcam AB0134047, 1:500 dilution) or\n Goat anti KIM1 (Biotechne AF181, 1:500), was incubated overnight at 4°C.\n Following primary antibody incubation, sections were washed three times\n for 10 minutes each in a buffer containing 1% BSA, 0.2% gelatin, and 0.05%\n saponin in PBS (pH 7.4). The secondary antibody, Goat anti-Rabbit Cy5\n (Invitrogen A10523, 1:500 dilution) or Donkey anti Goat Alexa 647\n (Invitrogen A2144, 1:1000), was applied for 2 hours at room temperature\n (20°C). Both primary and secondary antibodies were diluted in a solution\n of 0.1% BSA, 0.3% Triton X-100, in PBS (pH 7.4). For nuclear staining,\n Hoechst 33342 (1 µg/mL, Invitrogen H3570) was incubated concurrently with\n the secondary antibody. Sections were mounted with Glysergel mounting\n medium (Dako C0563) containing 0.025 g/mL 1,4-diazabicyclo[2.2.2]octane\n (2.5% w/v, Merck 803456). **# Experimental Equipment** biopsies were\n imaged on an Olympus VS120 upright widefield fluorescence microscope\n (Olympus, Japan) equipped with a 20X UPLSAPO objective (air immersion) and\n a high-sensitivity monochrome camera with 82% quantum efficiency\n (Hamamatsu ORCA-FLASH4.0V2). Images were captured using emission\n wavelengths of 518 nm (exposure time = 500 ms), 455 nm (exposure time =\n 100 ms), and 565 nm (exposure time = 800 ms). `File:\n Dataset_005_Ex_vivo.zip` Ex vivo imaging of stained sections following\n partial IRI. **# Experimental Setup and Protocol Information:** On days 4,\n 7, and 21 post partial IRI of the kidney, mice were perfusion fixed, and\n the kidney was cut out. Ex vivo samples used for paraffin embedding were\n post-fixated in 4% paraformaldehyde (PFA), whereafter they were\n transferred to 70% ethanol and incubated overnight. The ethanol\n concentration was sequentially increased to 96% for 2 hours, then to 99%\n for an additional 2 hours, followed by overnight incubation in 99% ethanol\n with xylene. Samples were subsequently embedded in paraffin at 60°C and\n stored until staining. Kidney tissue was cut coronally. Upon staining,\n sections were dehydrated until water, using Xylene and a decreasing amount\n of ethanol. Antigen retrieval was performed with HIER pH9. Samples were\n blocked in 50mM NH4Cl for 30 minutes, followed by 1% BSA, 0,2% gelatine,\n 0,05% Saponin in PBS pH 7,4. 3x10 minutes. Primary antibodies, Rabbit anti\n VCAM-1 (Abcam AB0134047, 1:500) or Rabbit anti VCAM-1 conjugated to Alexa\n 647 (Abcam AB194319-1001, 1:200), Rabbit anti-PDGFRβ (Abcam ab32570,\n 1:200), Rabbit anti-CD68 (Abcam 125212, 1:900), Mouse anti αSMA (Dako\n M085, 1:1000), Rabbit anti-PCK1(Abcam 7035, 1:200) were diluted in 0,1%\n BSA, 0,3% Tritin x-100 in PSB pH7,4 and incubated over night at 4°C.\n Samples are washed 3 x 10 min in 0,1% BSA, 0,2% gelatine, 0,05% Saponin in\n PBS pH 7,4, before incubation 1 h with Donkey anti Rabbit Alexa 488\n (Invotrogen A21206, 1:1000), Donkey anti Rabbit Alexa 680 (Invitrogen\n A10043, 1:1000), and  Goat anti Mouse Alexa 488 (Invitrogen A32723,\n 1:1000) diluted in 0,1% BSA, 0,3% Tritin x-100 in PSB pH7,4. After\n staining, samples are washed for 100 min. in PBS and mounted with\n Glycergel (Dako C0563) containing 2,5 % w/v 1,4-Diazabicyclo[2.2.2]octane\n (Merck 803456). Samples were imaged on a Zeiss LSM900 Inverted confocal\n laser scanning microscope with Airyscan 2 detection array. For a detailed\n overview, see Table S4. Picrosirius Red staining was performed as\n described before: Upon deparaffinization, sections were consecutively\n incubated in solutions of Celestinblue, Harris Hæmatoxilin, and Sirius\n Red. Collagen was visualized using confocal microscopy (LSM900 Inverted\n confocal laser scanning microscope with Airyscan 2 detection array) using\n an excitation of 561 nm and detection of Sirius Red signal at 635-685 nm.\n **# Experimental Equipment** Samples were imaged on a Zeiss LSM 900 Laser\n Scanning Confocal microscope `File:\n Dataset_006_Correlative_imaging_of_Vcam1.zip` Correlative imaging of\n Partial IRI kidney in vivo and ex vivo stained for Vcam1. **# Experimental\n Setup and Protocol Information:** A partial IRI was performed in the mice,\n which was followed by an abdominal imaging window (AIW) implementation,\n and serial intravital imaging under isoflurane anesthesia for 4 days\n post-IRI. Whereafter, mice were perfusion fixed. Kidney tissue stained\n against VCAM1 was blocked in 1% BSA/2% SEA BLOCK/0,1 % Triton X-100/PBS\n for 1 h and then incubated in Rabbit anti-VCAM-1 (Abcam AB0134047, 1:200)\n for 72 hours at 4 °C. After washing in PBS (3 x 5 min), Donkey anti-Rabbit\n Alexa 405 (Jackson ImmunoResearch 711-175-152, 1:500) secondary antibody\n was incubated overnight at 4°C. For PDGFRβ, the kidney tissue was blocked\n with 1% BSA + 2 % SEA in PBS for 1 hour and incubated in Rabbit\n anti-PDGFrβ (Abcam ab32570, 1:200) overnight at 4°C. After washing in PBS\n (3 x 5 min), the sample was incubated in Donkey anti-Rabbit Alexa 594\n (Invitrogen A21207, 1:500). After incubation in secondary antibody,\n samples were washed in PBS and embedded in PBS between two coverslips\n separated by a 2 mm thick spacer (SunJim Lab). **# Experimental\n Equipment** Upright Olympus FVMPE-RS 2-photon microscope (Olympus, Japan)\n equipped with MaiTai HP DS-OL excitation laser (Spectra Physics, United\n States), XLPLN25xWMP2 objective (Olympus, Japan, NA 1.05; WD 2.00 mm).\n Excitation wavelengths used for in vivo were 750 nm and 940 nm, and 800 nm\n for ex vivo. ### Files and variables #### **File:\n Dataset_001_Partial_IRI.zip** Description: Longitudinal imaging of the\n mouse kidney over 3 weeks via in vivo 2-photon microscopy after partial\n ischemia-reperfusion injury (partial IR). **# What each imaging file\n represents** Volumetric image series of renal cortex (mice), approximately\n 60 µm depth, step size 1-2 µm. The starting imaging location was selected\n at the depth of the renal capsule (identified via second harmonic\n generation, displayed in blue, in the 940 excitation files). **# Color\n Scheme** Images were acquired using both 750 nm as excitation wavelength,\n and 940 nm as excitation wavelength. For each Field of view, there is a\n file for the 750 excitation and 940 excitation track. For each excitation\n track, light has been collected in either 3 or 4 different channels. 1\\)\n for subject ID: 001, 002, 003, 004, 005, 006, 007, the Olympus system with\n the following detection cubes has been used: Ch1: λet = Empty Ch2: λet =\n 610 ± 35 nm (multialkali PMT),  Ch3: λet = 540 ± 20 nm (GaAsP), Ch4: λet =\n 480 ± 20 nm (GaAsP). What do we see in each channel: •             \n Channel 1. N/A •              Channel 2. 750: Alexa-594 albumin, Propidium\n Iodide (only present in Day 0). Both were injected retroorbitally under\n isoflurane before the imaging session. PDGFRβ–Salsa6F signal (weak). 940:\n PDGFRβ–Salsa6F signal (strong). •              Channel 3. 750: Renal\n epithelial autofluorescence- endogenous signal. PDGFRβ–Salsa6F signal\n (weak). 940: Renal epithelial autofluorescence- endogenous signal.\n PDGFRβ–Salsa6F signal (strong). •              Channel 4. 750: Renal\n epithelial autofluorescence- endogenous signal. 940: Collagen fibers\n images via second harmonic generation (SHG)- endogenous signal. Channel 1,\n which did not convey relevant physiological signals, was occasionally\n disabled during acquisition to optimize data storage and minimize file\n size. In those cases, only 3 channels are present in the file. 2\\) for\n subject ID: 008, 009, 010, the Bruker system with the following detection\n cubes has been used: Ch1: λet = Empty Ch2: λet = 595 ± 50 nm (GaAsP), \n Ch3: λet = 525 ± 50 nm (GaAsP), Ch4: λet = 460 ± 50 nm (GaAsP). What do we\n see in each channel: •              Channel 1. N/A •              Channel\n 2. 750: Alexa-594 albumin, Propidium Iodide (only present in Day 0). Both\n were injected retroorbitally under isoflurane before the imaging session.\n PDGFRβ–Salsa6F signal (weak). 940: PDGFRβ–Salsa6F signal (strong).\n •              Channel 3. 750: Renal epithelial autofluorescence-\n endogenous signal. 940: Renal epithelial autofluorescence- endogenous\n signal. •              Channel 4. 750: Renal epithelial autofluorescence-\n endogenous signal. 940: Collagen fibers images via second harmonic\n generation (SHG)- endogenous signal. Channel 1, which did not convey\n relevant physiological signals, was occasionally disabled during\n acquisition to optimize data storage and minimize file size. In those\n cases only 3 channels are present in the file. **# Nomenclature** File\n nomenclature specifies the required information to allocate any imaging\n file to the relevant protocol details, separated by an underscore sign\n (“_“). •                           ZSeries: scan type, volumetric\n acquisition •                           ID0xx: subject experimental ID\n •              FOVx: unique FOV within each experimental subject. Each FOV\n has been serially imaged over different days from partial IRI\n •                           Dxx: days from partial IRI disease model\n •                           WLxx: the wavelength used to excite. Either\n 750 nm or 940 nm. •                           Each file name ends with the\n file acquisition date on the format DDMMYYY  **# Subject-specific\n deviations** On the 3-week follow-up protocols, imaging days 14 to 21 from\n partial IRI required imaging deeper to locate the tubular structure, which\n was imaged serially over the initial week from partial IRI. FOVs from\n those days may include volumetric image sequences larger than 60 images.\n Likewise, the laser power used to excite has also been increased. ####\n **File: Dataset_002_Laser_Injury.zip** Description: Serial *in vivo*\n imaging via two-photon microscopy and genetic identification of PDGFRβ\n cells in kidneys undergoing laser-induced tubular injury. **# What each\n imaging file represents** Volumetric image series of renal cortex (mice),\n approximately 60 µm depth, step size 1-2 µm. The starting imaging location\n was selected at the depth of the renal capsule (identified via second\n harmonic generation, displayed in blue, in the 940 excitation files). **#\n Color Scheme** Images were acquired using both 750 nm as excitation\n wavelength, and 940 nm as excitation wavelength. For each Field of view,\n there is a file for the 750 excitation and 940 excitation track. For each\n excitation track, light has been collected in either 3 or 4 different\n channels. Ch1: λet = Empty Ch2: λet = 610 ± 35 nm (multialkali PMT),  Ch3:\n λet = 540 ± 20 nm (GaAsP), Ch4: λet = 480 ± 20 nm (GaAsP). What do we see\n in each channel: •              Channel 1. N/A •              Channel 2.\n 750: Alexa-594 albumin, Propidium Iodide. Both were injected\n retroorbitally under isoflurane before the imaging session. PDGFRβ–Salsa6F\n signal (weak). 940: PDGFRβ–Salsa6F signal (strong). •              Channel\n 3. 750: Renal epithelial autofluorescence- endogenous signal.\n PDGFRβ–Salsa6F signal (weak). 940: Renal epithelial autofluorescence-\n endogenous signal. PDGFRβ–Salsa6F signal (strong). •              Channel\n 4. 750: Renal epithelial autofluorescence- endogenous signal. 940:\n Collagen fibers images via second harmonic generation (SHG)- endogenous\n signal. Channel 1, which did not convey relevant physiological signals,\n was occasionally disabled during acquisition to optimize data storage and\n minimize file size. In those cases, only 3 channels are present in the\n file. **# Nomenclature** File nomenclature specifies the required\n information to allocate any imaging file to the relevant protocol details,\n separated by an underscore sign (“_“). •                          \n ZSeries: scan type, volumetric acquisition •                          \n ID0xx: subject experimental ID •              FOVx: unique FOV within each\n experimental subject. Each FOV has been serially imaged over different\n days from partial IRI •                           Dxx: days from partial\n IRI disease model •                           WLxx: the wavelength used to\n excite. Either 750 nm or 940 nm. •                           Each file\n name ends with the file acquisition date in format DDMMYYY **File:\n Dataset_003_Control.zip** Description: Serial intravital imaging via\n 2-photon microscopy and genetic identification of PDGFRβ cells in kidneys\n undergoing sham ischemia-reperfusion injury (IRI) surgery. **# What each\n imaging file represents** Volumetric image series of renal cortex (mice),\n approximately 60 µm depth, step size 1-2 µm. The starting imaging location\n was selected at the depth of the renal capsule (identified via second\n harmonic generation, displayed in blue, in the 940 excitation files). **#\n Color Scheme** Images were acquired using both 750 nm as excitation\n wavelength, and 940 nm as excitation wavelength. For each Field of view,\n there is a file for the 750 excitation and 940 excitation track. For each\n excitation track, light has been collected in either 3 or 4 different\n channels. For all subject IDs, the Olympus system with the following\n detection cubes has been used: Ch1: λet = Empty Ch2: λet = 610 ± 35 nm\n (multialkali PMT),  Ch3: λet = 540 ± 20 nm (GaAsP), Ch4: λet = 480 ± 20 nm\n (GaAsP). What do we see in each channel: •              Channel 1. N/A\n •              Channel 2. 750: Alexa-594 albumin, Propidium Iodide (only\n present in Day 0). Both were injected retroorbitally under isoflurane\n before the imaging session. PDGFRβ–Salsa6F signal (weak). 940:\n PDGFRβ–Salsa6F signal (strong). •              Channel 3. 750: Renal\n epithelial autofluorescence- endogenous signal. PDGFRβ–Salsa6F signal\n (weak). 940: Renal epithelial autofluorescence- endogenous signal.\n PDGFRβ–Salsa6F signal (strong). •              Channel 4. 750: Renal\n epithelial autofluorescence- endogenous signal. 940: Collagen fibers\n images via second harmonic generation (SHG)- endogenous signal. Channel 1,\n which did not convey relevant physiological signals, was occasionally\n disabled during acquisition to optimize data storage and minimize file\n size. In those cases, only 3 channels are present in the file. **#\n Nomenclature** File nomenclature specifies the required information to\n allocate any imaging file to the relevant protocol details, separated by\n an underscore sign (“_“). •                           ZSeries: scan type,\n volumetric acquisition •                           ID0xx: subject\n experimental ID •              FOVx: unique FOV within each experimental\n subject. Each FOV has been serially imaged over different days from\n partial IRI •                           Dxx: days from partial IRI disease\n model •                           WLxx: the wavelength used to excite.\n Either 750 nm or 940 nm. •                           Each file name ends\n with the file acquisition date in the format DDMMYYY  **# Subject-specific\n deviations** On the 3-week follow-up protocols, imaging days 14 to 21 from\n partial IRI required imaging deeper to locate the tubular structure, which\n was imaged serially over the initial week from partial IRI. FOVs from\n those days may include volumetric image sequences larger than 60 images.\n Likewise, the laser power used to excite has also been increased. **File:\n Dataset_004_Vcam1Kim1.zip** Description: Ex vivo imaging of human biopsies\n from kidney transplantations stained for Kim1 and Vcam1. **# What each\n imaging file represents** Single image of a human kidney biopsy stained\n for either Vcam1 or Kim1. **# Color Scheme** Biopsies were imaged with an\n emission wavelength of 518 nm, 455 nm, and 565 nm, corresponding to\n channel 1, 2, and 3 in the images of Vcam1 and channel 2, 1, and 3 for\n Kim1. **Vcam1** Ch1: λet = Emission wavelength: 518 nm Ch2: λet = Emission\n wavelength: 455 nm Ch3: λet = Emission wavelength: 565 nm What do we see\n in each channel: •              Channel 1. Autofluorescence from kidney\n tubules (green) •              Channel 2. Hoechst staining (blue)\n •              Channel 3. Vcam1 staining (red) **Kim1** Ch1: λet =\n Emission wavelength: 455 nm Ch2: λet = Emission wavelength: 518 nm Ch3:\n λet = Emission wavelength: 565 nm What do we see in each channel:\n •              Channel 1. Hoechst staining (blue) •              Channel\n 2. autofluorescence from kidney tubules (green) •              Channel 3.\n Kim1 staining (red) **# Nomenclature** File nomenclature specifies the\n required information to allocate any imaging file to the relevant protocol\n details, separated by an underscore sign (“_“). •              Vcam1/Kim1:\n staining of either Vcam1 or Kim1 •              IDxxx: randomized ID\n number **File: Dataset_005_Ex vivo.zip** Description: Ex vivo images of\n stained kidney sections 4 days, 7 days, and 21 days after partial IRI.\n Sections were stained for Vcam1, CD68, PCK1, αSMA, PDGFRβ, and Picrosirius\n Red. Images have been acquired in the IRI area or in the non-IRI area. Day\n 4 data are from 4 different mice (3087, 3088, 3089, 3090) Day 7 data are\n from 3 different mice (2929, 2935, 2937) Day 21 data are from 3 different\n mice (2893, 2895, 2896) Samples were stained for αSMA together with\n PDGFRβ. Samples were stained for CD68 together with Vcam1. Samples were\n stained for PKC1 together with Vcam1. **# What each imaging file\n represents** Single images of renal cortex (mice) stained for Vcam1, CD68,\n PKC1, αSMA, PDGFRβ, and SiriusRed. Each image has three different channels\n as specified: **# Color Scheme** αSMA/PDGFRβ: Ch1: λet = PDGrb staining\n (red) Ch2: λet = aSMA staining (green) Ch3: λet = Tubular autofluorescence\n (blue) CD68/Vcam1: Ch1: λet = Vcam1 staining (red) Ch2: λet = CD68\n staining (green) Ch3: λet = Tubular autofluorescence (blue) PCK1/Vcam1:\n Ch1: λet = Vcam1 staining (red) Ch2: λet = PCK1 staining (green) Ch3: λet\n = Tubular autofluorescence (blue) Picrosirius Red: Ch1: λet = Picrosirius\n Red staining (red) Ch2: λet = Tubular autofluorescence (green) Ch3: λet =\n Tubular autofluorescence (blue) **File: File: Dataset_006\\_ Correlative\n imaging of Vcam1.zip** Description: Correlative imaging of Partial IRI\n kidney in vivo and ex vivo stained for Vcam1. Mice were imaged in vivo at\n day 4 after partial IRI, whereafter they were perfusion fixed and the\n kidney taken out, stained for Vcam1, and then the same areas were imaged\n ex vivo. **# What each imaging file represents** Volumetric images of\n renal cortex (mice), approximately 60 µm depth, step size 1-2 µm. The\n starting imaging location was selected at the depth of the renal capsule\n (identified via second harmonic generation, displayed in blue, in the 940\n excitation files). **# Color Scheme** Images were acquired using both 750\n nm as excitation wavelength, and 940 nm as excitation wavelength for in\n vivo and 800 nm for ex vivo. For each Field of view, there is a file for\n the 750, 800, and 940 excitation tracks. For each excitation track, light\n has been collected in either 3 or 4 different channels. 1\\) in vivo images\n Ch1: λet = Empty Ch2: λet = 610 ± 35 nm (multialkali PMT),  Ch3: λet = 540\n ± 20 nm (GaAsP), Ch4: λet = 480 ± 20 nm (GaAsP). What do we see in each\n channel: •              Channel 1. N/A •              Channel 2. 750:\n Alexa-594 albumin. PDGFRβ–Salsa6F signal (weak). 940: PDGFRβ–Salsa6F\n signal (strong). •              Channel 3. 750: Renal epithelial\n autofluorescence- endogenous signal. PDGFRβ–Salsa6F signal (weak). 940:\n Renal epithelial autofluorescence- endogenous signal. PDGFRβ–Salsa6F\n signal (strong). •              Channel 4. 750: Renal epithelial\n autofluorescence- endogenous signal. 940: Collagen fibers images via\n second harmonic generation (SHG)- endogenous signal. Channel 1, which did\n not convey relevant physiological signals, was occasionally disabled\n during acquisition to optimize data storage and minimize file size. In\n those cases, only 3 channels are present in the file. 2\\) ex vivo images\n Ch1: λet = Empty Ch2: λet = 570 ± 30 nm (multialkali PMT),  Ch3: λet =\n 521,5 ± 16,5 nm (GaAsP), Ch4: λet = 452,5 ± 22,5 nm (GaAsP). What do we\n see in each channel: •              Channel 1. N/A •              Channel\n 2: PDGFRβ–Salsa6F signal •              Channel 3: Renal epithelial\n autofluorescence- endogenous signal •              Channel 4: Vcam1\n staining Channel 1, which did not convey relevant physiological signals,\n was occasionally disabled during acquisition to optimize data storage and\n minimize file size. In those cases, only 3 channels are present in the\n file. ## Code/software **We recommend opening the images in FIJI** **Image\n Processing** The images have been opened using the free software FIJI Java\n version: 2.14.0/1.54f In case of bending of the field of view over time,\n the serial imaging data were registered to day 0, in order to visualize\n the images in 2D Registration of serial imaging data was performed using a\n combination of a manual landmark-based volumetric registration within the\n FIJI plugin BigWarp using rigid rotation transforms, and intensity-based\n medical image registration using Elastix. For\n Dataset_002_Laser_Injury.zip, a tile scan approach was utilized if the\n damaged area exceeded the normal field of view. These tiles were later\n stitched using the CellSens software (Olympus, Japan). For Dataset_005_Ex\n vivo.zip, the tilescan function has likewise occasionally been used to\n show big overviews. No other processing has been performed on the images\n uploaded in this dataset. ## Access information Other publicly accessible\n locations of the data: * None. The biological interpretation of the data\n is described in detail in the associated manuscript. Data was derived from\n the following sources: * All data presented in this dataset were acquired\n by the authors using the experimental 2-photon microscopy facilities\n provided by the Health Bioimaging Core facility at Aarhus University and\n the Center for Functionally and Integrative Neuroscience (CFIN), Aarhus\n University","descriptionType":"TechnicalInfo"}],"geoLocations":[],"fundingReferences":[{"schemeUri":"https://ror.org","funderName":"Novo Nordisk Foundation","awardNumber":"NNF19OC0054899","funderIdentifier":"https://ror.org/04txyc737","funderIdentifierType":"ROR"},{"schemeUri":"https://ror.org","funderName":"Augustinus Foundation","awardNumber":"22-1924","funderIdentifier":"https://ror.org/030y53541","funderIdentifierType":"ROR"},{"schemeUri":"https://ror.org","funderName":"Aarhus University","awardNumber":"AUFF-E-201 9-7-21","funderIdentifier":"https://ror.org/01aj84f44","funderIdentifierType":"ROR"},{"schemeUri":"https://ror.org","funderName":"Danmarks Frie Forskningsfond","awardNumber":"3122-00034B","funderIdentifier":"https://ror.org/05svhj534","funderIdentifierType":"ROR"},{"schemeUri":"https://ror.org","funderName":"Chan Zuckerberg Initiative (United States)","awardNumber":"2023-331840","funderIdentifier":"https://ror.org/02qenvm24","funderIdentifierType":"ROR"},{"schemeUri":"https://ror.org","funderName":"The Research Council of Norway","awardNumber":"302326","funderIdentifier":"https://ror.org/00epmv149","funderIdentifierType":"ROR"},{"schemeUri":"https://ror.org","funderName":"Letten Foundation","funderIdentifier":"https://ror.org/01gce3t61","funderIdentifierType":"ROR"},{"schemeUri":"https://ror.org","funderName":"European Union","awardNumber":"801133","funderIdentifier":"https://ror.org/019w4f821","funderIdentifierType":"ROR"},{"schemeUri":"https://ror.org","funderName":"Swiss National Science Foundation","awardNumber":"P500PM_230477","funderIdentifier":"https://ror.org/00yjd3n13","funderIdentifierType":"ROR"}],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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  <identifier identifierType="DOI">10.5061/DRYAD.9ZW3R22TN</identifier>
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      <creatorName nameType="Personal">Kristensen, Anders M.</creatorName>
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      <creatorName nameType="Personal">Bordoni, Luca</creatorName>
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      <affiliation affiliationIdentifier="https://ror.org/01xtthb56" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Oslo</affiliation>
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      <creatorName nameType="Personal">Shipman, Katherine E.</creatorName>
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  <titles>
    <title>
      In vivo expression of VCAM1 precedes nephron loss following kidney tubular
      necrosis
    </title>
  </titles>
  <publisher publisherIdentifier="https://ror.org/00x6h5n95" publisherIdentifierScheme="ROR" schemeURI="https://ror.org/">Dryad</publisher>
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  <publicationYear>2025</publicationYear>
  <subjects>
    <subject subjectScheme="fos" schemeURI="https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf">FOS: Basic medicine</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Acute renal failure</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">In vivo imaging</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Fibrosis</subject>
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    <fundingReference>
      <funderName>The Research Council of Norway</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/00epmv149</funderIdentifier>
      <awardNumber>302326</awardNumber>
    </fundingReference>
    <fundingReference>
      <funderName>Letten Foundation</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/01gce3t61</funderIdentifier>
      <awardTitle/>
    </fundingReference>
    <fundingReference>
      <funderName>European Union</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/019w4f821</funderIdentifier>
      <awardNumber>801133</awardNumber>
      <awardTitle/>
    </fundingReference>
    <fundingReference>
      <funderName>Swiss National Science Foundation</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/00yjd3n13</funderIdentifier>
      <awardNumber>P500PM_230477</awardNumber>
      <awardTitle/>
    </fundingReference>
  </fundingReferences>
  <dates>
    <date dateType="Created">2025-07-22T07:45:03Z</date>
    <date dateType="Submitted">2025-07-22T07:55:00Z</date>
    <date dateType="Issued">2025-09-19T00:00:00Z</date>
    <date dateType="Available">2025-09-19T00:00:00Z</date>
  </dates>
  <language>en</language>
  <relatedIdentifiers>
    <relatedIdentifier relationType="IsDerivedFrom" relatedIdentifierType="DOI">https://doi.org/10.5281/zenodo.16353892</relatedIdentifier>
    <relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">https://doi.org/10.1126/sciadv.adz5358</relatedIdentifier>
  </relatedIdentifiers>
  <sizes>
    <size>56241723241 bytes</size>
  </sizes>
  <version>7</version>
  <rightsList>
    <rights rightsURI="https://spdx.org/licenses/CC0-1.0.html">Creative Commons Zero v1.0 Universal</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">
      Nephron loss is a key event during the onset and progression of chronic
      kidney disease, yet the mechanisms determining whether tubules undergo
      successful repair or progress to atrophy remain poorly understood. While
      fibrosis has been proposed to drive progressive organ damage, antifibrotic
      therapies have failed in clinical trials. Here, we reveal that tubular
      VCAM1-expression precedes nephron loss, fibrosis, and long-term kidney
      dysfunction. Using serial intravital microscopy in transgenic mice, we
      track tubulointerstitial remodeling between injured and intact tissue over
      3 weeks. VCAM1 is rapidly induced in a distinct subset of injured tubules,
      preceding atrophy with sustained fibroblast recruitment. However,
      fibroblasts remain confined to injury sites and do not cause secondary
      damage in uninjured tubules. Finally, in human kidney transplant biopsies,
      tubular VCAM1 expression - but not KIM1 - correlates negatively with early
      and 12-month graft function, underscoring its potential as a biomarker of
      adverse outcomes. These findings position VCAM1 as an early indicator of
      tubular fate and nephron loss.
    </description>
    <description descriptionType="Methods">
      &lt;p&gt;&lt;strong&gt;Study Approval&lt;/strong&gt;&lt;/p&gt;
      &lt;p&gt;All experimental procedures involving animals were approved by
      the local authorities (Animal Experiments Inspectorate, Denmark, permit
      numbers: 2020-15-0201-00443 and 2024-15-0201-01839) and reported according
      to ARRIVE guidelines. Processing of human samples and data was approved by
      the National Committee on Health Research Ethics (M-20100269). Informed
      and written content was obtained from the participants. The trial was
      conducted according to the Helsinki Declaration.&lt;/p&gt;
      &lt;p&gt;&lt;strong&gt;Animals&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;A total
      of 60 (26 male and 34 female) mice with a mean weight of 22.3 ± 0.5 g and
      age of 12.6 ± 0.6 weeks (mean ± SEM) were included in the study (Tables S1
      and 2). Transgenic mice were obtained from Jax Laboratory and bred in the
      animal facilities at the Department of Biomedicine, Aarhus University:
      PDGFRβCre-ERT2 – Salsa6F reporter mice were generated by crossing
      B6.Cg-Tg(PDGFrβ-cre/ERT2)6096Rha/J (Strain #:030201)
      &lt;sup&gt;27&lt;/sup&gt; and
      B6(129S4)-Gt(ROSA)26Sortm1.1(CAG-tdTomato/GCaMP6f)Mdcah/J)] (Strain #:
      031968) &lt;sup&gt;28&lt;/sup&gt;. After induction with tamoxifen, this
      strain identifies  PDGFRβcells by Salsa6F, a fusion protein of GCaMP6 and
      tdTomato. Additionally, CycB1-GFP reporter mice
      (Tg(Pgk1-Ccnb1/EGFP)1Aklo/J) (Strain #: 023345) &lt;sup&gt;36&lt;/sup&gt;
      were used to detect renal cell proliferation through transient
      nuclear/cytosolic expression of  green fluorescent protein (GFP)
      expression stages S-, G2- and M of the cell cycle.&lt;/p&gt; &lt;p&gt;Mice
      were randomly allocated to one of three groups; i) in vivo imaging, ii)
      GFR and urine collection and iii) ex vivo imaging, as summarized in Table
      S2. Group i) was further divided into mice undergoing partial IRI surgery,
      sham surgery or laser injury, respectively. Groups ii) and iii) were
      divided into mice undergoing partial IRI surgery and sham surgery.
      Additionally, some mice from group i) were also used for ex vivo
      correlative microscopy upon sacrificing. Our study design precluded
      blinding of the experimental treatment, as the validation of surgical
      outcomes required close microscopic examination during the procedure.
      Serial intravital microscopy of partial IRI animals was challenged by
      strong tissue remodeling that sometimes caused missing data points from
      late acquisition time points. To compensate for missing data points, we
      included higher n-numbers in the partial IRI group. For statistical
      analysis all available serial imaging data was included. No data was
      excluded.&lt;/p&gt;
      &lt;p&gt;&lt;strong&gt;Surgery&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Prior to
      surgery mice were accommodated in groups of 2 to 5 within ventilated cages
      (Technoplast model GM500 or GM9000) at 21 ± 2°C and 55 ± 10% relative
      humidity. Littermates were weaned at 3 weeks of age. Mice were maintained
      on a standardized 12-hour light-dark diurnal cycle, with unrestricted
      access to standard diet and water. The bedding material consisted of Aspen
      wood chips measuring 2-3 mm in size (Abedd, bedding midi), complemented by
      compressed cotton tubes for nesting purposes. Cages were enriched with
      Mouse Igloo with spinning wheels, wooden chew sticks, cardboard tubes, and
      Shepherd Shacks. Upon surgery, Mouse Igloo and cardboard tubes were
      replaced by cardbox houses to prevent the abdominal image window from
      getting stuck. Cages were routinely cleaned once a week. To investigate
      whether (myo)fibroblasts engage in progressive and self-perpetuating
      tubulointerstitial fibrosis, two individual surgery procedures were
      performed. First, an unilateral partial ischemia-reperfusion injury (IRI)
      was done by occluding one branch of the left renal artery for 21 min, as
      previously described &lt;sup&gt;7&lt;/sup&gt;. Second, a winged abdominal
      image window (wAIW) was placed above the postischemic and non-ischemic
      parts of the partial IRI kidney and implanted into the left flank of the
      mouse as described previously &lt;sup&gt;29, 63&lt;/sup&gt;. Thus, it was
      possible to image the border between the ischemic and non-ischemic
      regions.&lt;/p&gt; &lt;p&gt;During surgery mice received analgesia through
      intraperitoneal administration of buprenorphine (0.1 mg/ kg BW, Temgesic),
      and anesthetized with isoflurane (3.5% for induction, 1.5–1.75% for
      maintenance, 1.2-1.8 L/min flow rate, 50% oxygen in medical air). Surgery
      was conducted on a heating plate set to 37 ± 0.5°C, while eye ointment
      prevented cornea dehydration. The mouse’s left flank was shaved, and the
      skin was disinfected using chlorhexidine (0.5 % in 70% ethanol). Hereafter
      an incision into the left flank exposed the kidney. The kidney was gently
      repositioned, and the right artery branch was occluded with a clamp for 21
      minutes. During occlusion, kidney temperature, and hydration were
      maintained with a nonwoven swab and occasional flushing with 37°C saline
      &lt;sup&gt;29&lt;/sup&gt;. Upon reperfusion, a purse-string suture
      connected the muscle layer and the skin around the incision, and the
      kidney glued to the wAIW using 50 μl cyanoacrylate glue. Lastly, the skin
      was secured around the groove of the wAIW by tightening of the
      purse-string suture &lt;sup&gt;68&lt;/sup&gt;. 10 μl/g BW sterile saline
      was injected i.p. for fluid supplementation. Following the image session
      at day 0, meloxicam (1 mg/kg BW meloxicam, Metacam) was administrated s.c.
      as postoperative analgesia as well as at days 1 and 2 post surgery.
      Additionally, mice had restricted access to normal drinking water but had
      to drink water containing buprenorphine (1 ml buprenorphine 0.3 mg/ml to
      35 ml water) until 3 days post-surgery.&lt;/p&gt;
      &lt;p&gt;&lt;strong&gt;Image acquisition protocol&lt;/strong&gt;&lt;/p&gt;
      &lt;p&gt;In vivo imaging was conducted using an upright Olympus FVMPE-RS
      2-photon microscope (Olympus, Japan) operated with Fluoview FV31S software
      (Olympus, Japan), and an upright Ultima Investigator Plus multiphoton
      setup (Bruker Corporation, Billerica, MA, USA) with PraireView IV software
      as described previously &lt;sup&gt;7&lt;/sup&gt;.&lt;/p&gt; &lt;p&gt;The
      Olympus microscope was equipped with a MaiTaiHP DS-OL excitation laser
      (Spectra Physics, United States), a 25X XLPLN25xWMP2 objective, water
      immersion, (Olympus, Japan, NA 1.05; WD 2.00mm), with an IR cut filter of
      690 nm, and the following detection cubes: Ch1: λet = 705/45 nm
      (multialkali PMT), Ch2: λet = 610/35 nm (multialkali PMT), Ch3: λet =
      540/40 (GaAsP), Ch4: λet = 480/40 (GaAsP).&lt;/p&gt; &lt;p&gt;The Bruker
      microscope was equipped with a 20X Olympus XLUMPLFLN Objective, water
      immersion (Olympus, Japan, NA 1.00; WD 2.00mm), a 720 sp filter, and the
      following detection cubes: Ch1: λet=525/50 nm (GaAsP), Ch2: λet= 525/50 nm
      (GaAsP), Ch3: λet= 460/50 nm (GaAsP).&lt;/p&gt; &lt;p&gt;Prior to imaging,
      1 μl/g body weight of a 2.5 mg/ml conjugated Albumin-Alexa Fluor 594 dye
      solution (Alexa594-albumin, Invitrogen) and 10 μl of propidium iodide (PI,
      0.25 mg/ml, Thermo Fisher) was administered via retro-orbital injection.
      For imaging, the wAIW implant was slotted into a custom 3D-printed frame
      ensuring image stabilization on an upright microscope setup
      &lt;sup&gt;64&lt;/sup&gt;. During imaging, anesthesia and temperature were
      maintained with a low-flow (30–50 ml/min, 1.0–1.5%) isoflurane vaporizer
      (SomnoSuite, Kent Scientific), which was equipped with a heating blanket
      placed beneath the animal.&lt;/p&gt; &lt;p&gt;We identified ≈ 4 FOV, which
      were imaged using dual-track excitation using 750 nm and 940 nm,
      respectively (512 x 512, dwell time: 4 μs, line averaging x 2, Galvano
      laser). Z-series, with a step size of 1-2 μm and depth of ≈ 60 μm, were
      acquired from each FOV, starting from the capsule. Upon the end of the
      image session, mice recovered from anesthesia and placed back in their
      cage. This process was repeated for each imaging day as detailed in Table
      S2.&lt;/p&gt; &lt;p&gt;To induce selective laser-injury in a few nephrons
      within the otherwise healthy PDGFRβ-CreERT2-tdTomato kidneys (n = 4), we
      used the 2-photon laser as a micromanipulator and focused high laser power
      on a kidney region of approximately 60 um&lt;sup&gt;2&lt;/sup&gt;. Tissue
      remodeling at the injury site was then monitored via serial in vivo
      imaging for up to 4 weeks as detailed in Tables S1 and 2. At some image
      sessions, a tile scan approach was utilized if the damaged area exceeded
      the normal FOV. These tiles were later stitched using the cell sense
      software (Olympus, Japan).&lt;/p&gt; &lt;p&gt;After the last imaging
      session, mice were anesthetized with isoflurane and perfusion-fixated with
      4% PFA. For correlative microscopy the cortical renal area attached to the
      wAIW was separated as a ≈ 2 mm thick tissue section, post-fixated with 4%
      PFA for 1 hour, and then washed in PBS (3 x 5 min). Whereafter they were
      stained ex vivo.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Image
      analysis&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;During the analysis, all
      tubular segments from each FOV were sequentially numbered, re-identified
      on consecutive imaging time points, and qualitatively assessed for
      categorization into one of the following classifications:
      'undamaged,' 'damaged,' 'recovered,' or
      'atrophic'. Tubular segments were classified as
      'damaged' if they exhibited any of the following criteria:
      positive staining for propidium iodide, dilated or collapsed tubule lumen,
      luminal granular cast accumulation, flattened tubule epithelium, visually
      decreased NADH autofluorescence and/or, in the case of PT-S1, visually
      reduced albumin endocytosis. 'Undamaged' tubule segments were
      defined by the absence of all characteristics mentioned above. Tubule
      segments were classified as 'atrophic' if they adopted a
      strongly collapsed, non-reversible state with decreased NADH
      autofluorescence. ‘Recovered’ tubules were identified with any of the
      damage characteristics outlined above and later adopted an ‘undamaged’
      state. Additionally, atrophic’ tubule segments were further sub-classified
      as 'degraded' if they completely disappeared. The classification
      of individual tubule segments across consecutive imaging time points was
      performed and confirmed by two experimenters.&lt;/p&gt; &lt;p&gt;Denoising
      of images was conducted using the BM3D algorithms ^70 ^as previously
      described &lt;sup&gt;69&lt;/sup&gt;. In short, a denoising pipeline was
      created utilizing both FIJI &lt;sup&gt;75&lt;/sup&gt; and MATLAB. FIJI
      facilitated batch data input/output, handled multichannel images, and
      merged denoised outputs. MATLAB executed BM3D algorithms, processing one
      channel at a time by reading temporary files written on disk by FIJI and
      producing the denoised data in separate temporary files.&lt;/p&gt;
      &lt;p&gt;Registration of serial imaging data was performed using a
      combination of a manual landmark-based volumetric registration within the
      FIJI plugin BigWarp using rigid rotation transforms
      &lt;sup&gt;76&lt;/sup&gt;, and intensity-based medical image registration
      using Elastix &lt;sup&gt;38&lt;/sup&gt;.&lt;/p&gt; &lt;p&gt;To quantify
      PDGFRβ-cell accumulation, two different approaches were utilized. In the
      first method, PDGFRβ-cells were segmented using Ilastik
      &lt;sup&gt;77&lt;/sup&gt; (v5.1.0). Here, tdTomato-labeled PDGFRβ-cells
      were segmented from the registered 940 tracks using pixel classification.
      To train Ilastik, labels were assigned to Z-stack images to identify
      structures/cells as either tdTomato-positive or negative cells. Following
      exportation of the 2D Ilastik predictions, a threshold was applied using
      the Otsu method &lt;sup&gt;78&lt;/sup&gt;, whereafter the percentage of
      the of tdTomato cell area was assessed relative to the total FOV area
      (Figures S2B, C). This approach provided an unbiased quantification of
      PDGFRβ-cell abundance on a per FOV basis.&lt;/p&gt; &lt;p&gt;In the second
      method, the perimeter of each individual tubule was measured for each day
      equivalating 6903individual measurements. Afterward, it was measured how
      much of the tubule in question was in touch with surrounding PDGFRβ-cells
      and PDGFRβ-cell enclosure was expressed in percent of the total perimeter
      of the tubule (Figure 2E). This approach provided insights into
      PDGFRβ-cell dynamics with individual tubules.&lt;/p&gt; &lt;p&gt;Second
      harmonic generation (SHG) was quantified following image segmentation
      using Ilastik. The software was trained to recognize SHG signals from 940
      tracks. Following the export of the 2D Ilastik predictions, a threshold
      was applied using the Otsu method, after which the percentage of the SHG
      area was evaluated relative to the total FOV area. All SHG analysis was
      done on decapsulated, ex vivo samples to avoid bias when separating
      interstitial SHG signal from SHG signal deriving from the kidney
      capsule. &lt;/p&gt; &lt;p&gt;NADH signal quantification was only performed
      on images acquired on the Olympus system to maintain consistent detection
      optics for the quantification. In 750 nm excitation track data, a ROI was
      manually drawn around the epithelium of each tubule, and the average
      intensity of channel 4 was measured.&lt;/p&gt;
    </description>
    <description descriptionType="TechnicalInfo">
      # In vivo expression of VCAM1 precedes nephron loss following kidney
      tubular necrosis Dataset DOI:
      [10.5061/dryad.9zw3r22tn](10.5061/dryad.9zw3r22tn) ## Description of the
      data and file structure `File: Dataset_001_Partial_IRI.zip` **# Data
      Description** Using serial intravital microscopy of transgenic mice, we
      tracked the interactions of renal fibroblasts and pericytes with injured
      and uninjured tubules over 3 weeks and tested whether fibrosis preceded
      secondary tubular damage in uninjured tissue. To achieve this, we used a
      model of partial ischemia-reperfusion injury (partial IRI), which resulted
      in rapid and abundant tubule atrophy and fibrosis in approximately half of
      the kidney while demonstrating uninjured renal tissue in the other half.
      **# Experimental Setup and Protocol Information:** Transgenic
      PDGFRβCre-ERT2–Salsa6F reporter mice were generated by crossing
      B6.Cg-Tg(PDGFrβ-cre/ERT2)6096Rha/J (The Jackson Laboratory, Strain
      #:030201) and B6(129S4)-Gt(ROSA)26Sortm1.1(CAG-tdTomato/GCaMP6f)Mdcah/J)]
      (The Jackson Laboratory , Strain #: 031968). A partial IRI was performed
      in the mice, which was followed by an abdominal imaging window (AIW)
      implementation, and serial intravital imaging under isoflurane anaesthesia
      for up to 21 days post-IRI. **# Experimental Equipment** In vivo 2-photon
      imaging was performed using two setups: 1\) Upright Olympus FVMPE-RS
      2-photon microscope (Olympus, Japan) equipped with MaiTai HP DS-OL
      excitation laser (Spectra Physics, United States), XLPLN25xWMP2 objective
      (Olympus, Japan, NA 1.05; WD 2.00 mm). Excitation wavelengths used were
      750 nm and 940 nm. 2\) Chamelion Ultra II Coherent Laser and an Ultima
      Investigator Plus multiphoton setup (Bruker Corporation, Billerica, MA,
      USA) with PraireView IV software in upright objective configuration (20X
      Olympus XLUMPLFLN Objective, water immersion, 1.00 NA, 2.0 mm WD).
      Excitation wavelengths used were 750 nm and 940 nm. Emission signal was
      detected after a 720sp filter on 3 GaAsP (Hamamatsu, H7422-40)
      photomultipliers (Ch1: λet = 525/50 nm, Ch2: λet = 525/50 nm, Ch3: λe t=
      460/50 nm). Subject IDs: 008, 009, 010. `File:
      Dataset_002_Laser_Injury.zip` **# Data Description** To explore the
      dynamics of fibroblasts in a locally restricted injury model, we used
      serial *in vivo* imaging via two-photon microscopy and genetic
      identification of PDGFRβ cells in kidneys undergoing laser-induced tubular
      injury. **# Experimental Setup and Protocol Information:** Transgenic
      PDGFRβCre-ERT2–Salsa6F reporter mice were generated by crossing
      B6.Cg-Tg(PDGFrβ-cre/ERT2)6096Rha/J (The Jackson Laboratory, Strain
      #:030201) and B6(129S4)-Gt(ROSA)26Sortm1.1(CAG-tdTomato/GCaMP6f)Mdcah/J)]
      (The Jackson Laboratory , Strain #: 031968). An abdominal imaging window
      (AIW) was implemented in the mice, which was followed by a laser-induced
      tubular injury and serial intravital imaging performed under isoflurane
      anesthesia for up to 28 days. **# Experimental Equipment** *In vivo*
      2-photon imaging was performed using an upright Olympus FVMPE-RS 2-photon
      microscope (Olympus, Japan) equipped with MaiTai HP DS-OL excitation laser
      (Spectra Physics, United States), XLPLN25xWMP2 objective (Olympus, Japan,
      NA 1.05; WD 2.00 mm), and the following detection cubes: Ch1: λet = Empty,
      Ch2: λet = 610 ± 35 nm (multialkali PMT), Ch3: λet = 540 ± 20 nm (GaAsP),
      Ch4: λet = 480 ± 20 nm (GaAsP). `File: Dataset_003_Control.zip` Serial
      intravital imaging via 2-photon microscopy and genetic identification of
      PDGFRβ cells in kidneys undergoing sham ischemia-reperfusion injury (IRI)
      surgery. **# Experimental Setup and Protocol Information:** Transgenic
      PDGFRβCre-ERT2–Salsa6F reporter mice were generated by crossing
      B6.Cg-Tg(PDGFrβ-cre/ERT2)6096Rha/J (The Jackson Laboratory, Strain
      #:030201) and B6(129S4)-Gt(ROSA)26Sortm1.1(CAG-tdTomato/GCaMP6f)Mdcah/J)]
      (The Jackson Laboratory, Strain #: 031968). A sham IRI surgery was
      performed in the mice, which was followed by an abdominal imaging window
      (AIW) implementation, and serial intravital imaging under isoflurane
      anaesthesia for up to 21 days post surgery. **# Experimental Equipment**
      In vivo 2-photon imaging was performed using two setups: 1\) Upright
      Olympus FVMPE-RS 2-photon microscope (Olympus, Japan) equipped with MaiTai
      HP DS-OL excitation laser (Spectra Physics, United States), XLPLN25xWMP2
      objective (Olympus, Japan, NA 1.05; WD 2.00 mm). Excitation wavelengths
      used were 750 nm and 940 nm. 2\) Chamelion Ultra II Coherent Laser and an
      Ultima Investigator Plus multiphoton setup (Bruker Corporation, Billerica,
      MA, USA) with PraireView IV software in upright objective configuration
      (20X Olympus XLUMPLFLN Objective, water immersion, 1.00 NA, 2.0 mm WD).
      Excitation wavelengths used were 750 nm and 940 nm. Emission signal was
      detected after a 720sp filter on 3 GaAsP (Hamamatsu, H7422-40)
      photomultipliers (Ch1: λet = 525/50 nm, Ch2: λet = 525/50 nm, Ch3: λe t=
      460/50 nm). Subject IDs: 008, 009, 010. `File: Dataset_004_Vcam1KIM1.zip`
      Ex vivo imaging of human biopsies from kidney transplantations stained for
      Kim1 and Vcam1. **# Experimental Setup and Protocol Information:**
      Biopsies were obtained from patients undergoing kidney transplantation.
      The biopsy was taken from the transplanted kidney 6 days
      post-transplantation. Human biopsies were stained for Kim1 and Vcam1. The
      primary antibody, Rabbit anti-VCAM1 (Abcam AB0134047, 1:500 dilution) or
      Goat anti KIM1 (Biotechne AF181, 1:500), was incubated overnight at 4°C.
      Following primary antibody incubation, sections were washed three times
      for 10 minutes each in a buffer containing 1% BSA, 0.2% gelatin, and 0.05%
      saponin in PBS (pH 7.4). The secondary antibody, Goat anti-Rabbit Cy5
      (Invitrogen A10523, 1:500 dilution) or Donkey anti Goat Alexa 647
      (Invitrogen A2144, 1:1000), was applied for 2 hours at room temperature
      (20°C). Both primary and secondary antibodies were diluted in a solution
      of 0.1% BSA, 0.3% Triton X-100, in PBS (pH 7.4). For nuclear staining,
      Hoechst 33342 (1 µg/mL, Invitrogen H3570) was incubated concurrently with
      the secondary antibody. Sections were mounted with Glysergel mounting
      medium (Dako C0563) containing 0.025 g/mL 1,4-diazabicyclo[2.2.2]octane
      (2.5% w/v, Merck 803456). **# Experimental Equipment** biopsies were
      imaged on an Olympus VS120 upright widefield fluorescence microscope
      (Olympus, Japan) equipped with a 20X UPLSAPO objective (air immersion) and
      a high-sensitivity monochrome camera with 82% quantum efficiency
      (Hamamatsu ORCA-FLASH4.0V2). Images were captured using emission
      wavelengths of 518 nm (exposure time = 500 ms), 455 nm (exposure time =
      100 ms), and 565 nm (exposure time = 800 ms). `File:
      Dataset_005_Ex_vivo.zip` Ex vivo imaging of stained sections following
      partial IRI. **# Experimental Setup and Protocol Information:** On days 4,
      7, and 21 post partial IRI of the kidney, mice were perfusion fixed, and
      the kidney was cut out. Ex vivo samples used for paraffin embedding were
      post-fixated in 4% paraformaldehyde (PFA), whereafter they were
      transferred to 70% ethanol and incubated overnight. The ethanol
      concentration was sequentially increased to 96% for 2 hours, then to 99%
      for an additional 2 hours, followed by overnight incubation in 99% ethanol
      with xylene. Samples were subsequently embedded in paraffin at 60°C and
      stored until staining. Kidney tissue was cut coronally. Upon staining,
      sections were dehydrated until water, using Xylene and a decreasing amount
      of ethanol. Antigen retrieval was performed with HIER pH9. Samples were
      blocked in 50mM NH4Cl for 30 minutes, followed by 1% BSA, 0,2% gelatine,
      0,05% Saponin in PBS pH 7,4. 3x10 minutes. Primary antibodies, Rabbit anti
      VCAM-1 (Abcam AB0134047, 1:500) or Rabbit anti VCAM-1 conjugated to Alexa
      647 (Abcam AB194319-1001, 1:200), Rabbit anti-PDGFRβ (Abcam ab32570,
      1:200), Rabbit anti-CD68 (Abcam 125212, 1:900), Mouse anti αSMA (Dako
      M085, 1:1000), Rabbit anti-PCK1(Abcam 7035, 1:200) were diluted in 0,1%
      BSA, 0,3% Tritin x-100 in PSB pH7,4 and incubated over night at 4°C.
      Samples are washed 3 x 10 min in 0,1% BSA, 0,2% gelatine, 0,05% Saponin in
      PBS pH 7,4, before incubation 1 h with Donkey anti Rabbit Alexa 488
      (Invotrogen A21206, 1:1000), Donkey anti Rabbit Alexa 680 (Invitrogen
      A10043, 1:1000), and  Goat anti Mouse Alexa 488 (Invitrogen A32723,
      1:1000) diluted in 0,1% BSA, 0,3% Tritin x-100 in PSB pH7,4. After
      staining, samples are washed for 100 min. in PBS and mounted with
      Glycergel (Dako C0563) containing 2,5 % w/v 1,4-Diazabicyclo[2.2.2]octane
      (Merck 803456). Samples were imaged on a Zeiss LSM900 Inverted confocal
      laser scanning microscope with Airyscan 2 detection array. For a detailed
      overview, see Table S4. Picrosirius Red staining was performed as
      described before: Upon deparaffinization, sections were consecutively
      incubated in solutions of Celestinblue, Harris Hæmatoxilin, and Sirius
      Red. Collagen was visualized using confocal microscopy (LSM900 Inverted
      confocal laser scanning microscope with Airyscan 2 detection array) using
      an excitation of 561 nm and detection of Sirius Red signal at 635-685 nm.
      **# Experimental Equipment** Samples were imaged on a Zeiss LSM 900 Laser
      Scanning Confocal microscope `File:
      Dataset_006_Correlative_imaging_of_Vcam1.zip` Correlative imaging of
      Partial IRI kidney in vivo and ex vivo stained for Vcam1. **# Experimental
      Setup and Protocol Information:** A partial IRI was performed in the mice,
      which was followed by an abdominal imaging window (AIW) implementation,
      and serial intravital imaging under isoflurane anesthesia for 4 days
      post-IRI. Whereafter, mice were perfusion fixed. Kidney tissue stained
      against VCAM1 was blocked in 1% BSA/2% SEA BLOCK/0,1 % Triton X-100/PBS
      for 1 h and then incubated in Rabbit anti-VCAM-1 (Abcam AB0134047, 1:200)
      for 72 hours at 4 °C. After washing in PBS (3 x 5 min), Donkey anti-Rabbit
      Alexa 405 (Jackson ImmunoResearch 711-175-152, 1:500) secondary antibody
      was incubated overnight at 4°C. For PDGFRβ, the kidney tissue was blocked
      with 1% BSA + 2 % SEA in PBS for 1 hour and incubated in Rabbit
      anti-PDGFrβ (Abcam ab32570, 1:200) overnight at 4°C. After washing in PBS
      (3 x 5 min), the sample was incubated in Donkey anti-Rabbit Alexa 594
      (Invitrogen A21207, 1:500). After incubation in secondary antibody,
      samples were washed in PBS and embedded in PBS between two coverslips
      separated by a 2 mm thick spacer (SunJim Lab). **# Experimental
      Equipment** Upright Olympus FVMPE-RS 2-photon microscope (Olympus, Japan)
      equipped with MaiTai HP DS-OL excitation laser (Spectra Physics, United
      States), XLPLN25xWMP2 objective (Olympus, Japan, NA 1.05; WD 2.00 mm).
      Excitation wavelengths used for in vivo were 750 nm and 940 nm, and 800 nm
      for ex vivo. ### Files and variables #### **File:
      Dataset_001_Partial_IRI.zip** Description: Longitudinal imaging of the
      mouse kidney over 3 weeks via in vivo 2-photon microscopy after partial
      ischemia-reperfusion injury (partial IR). **# What each imaging file
      represents** Volumetric image series of renal cortex (mice), approximately
      60 µm depth, step size 1-2 µm. The starting imaging location was selected
      at the depth of the renal capsule (identified via second harmonic
      generation, displayed in blue, in the 940 excitation files). **# Color
      Scheme** Images were acquired using both 750 nm as excitation wavelength,
      and 940 nm as excitation wavelength. For each Field of view, there is a
      file for the 750 excitation and 940 excitation track. For each excitation
      track, light has been collected in either 3 or 4 different channels. 1\)
      for subject ID: 001, 002, 003, 004, 005, 006, 007, the Olympus system with
      the following detection cubes has been used: Ch1: λet = Empty Ch2: λet =
      610 ± 35 nm (multialkali PMT),  Ch3: λet = 540 ± 20 nm (GaAsP), Ch4: λet =
      480 ± 20 nm (GaAsP). What do we see in each channel: •             
      Channel 1. N/A •              Channel 2. 750: Alexa-594 albumin, Propidium
      Iodide (only present in Day 0). Both were injected retroorbitally under
      isoflurane before the imaging session. PDGFRβ–Salsa6F signal (weak). 940:
      PDGFRβ–Salsa6F signal (strong). •              Channel 3. 750: Renal
      epithelial autofluorescence- endogenous signal. PDGFRβ–Salsa6F signal
      (weak). 940: Renal epithelial autofluorescence- endogenous signal.
      PDGFRβ–Salsa6F signal (strong). •              Channel 4. 750: Renal
      epithelial autofluorescence- endogenous signal. 940: Collagen fibers
      images via second harmonic generation (SHG)- endogenous signal. Channel 1,
      which did not convey relevant physiological signals, was occasionally
      disabled during acquisition to optimize data storage and minimize file
      size. In those cases, only 3 channels are present in the file. 2\) for
      subject ID: 008, 009, 010, the Bruker system with the following detection
      cubes has been used: Ch1: λet = Empty Ch2: λet = 595 ± 50 nm (GaAsP), 
      Ch3: λet = 525 ± 50 nm (GaAsP), Ch4: λet = 460 ± 50 nm (GaAsP). What do we
      see in each channel: •              Channel 1. N/A •              Channel
      2. 750: Alexa-594 albumin, Propidium Iodide (only present in Day 0). Both
      were injected retroorbitally under isoflurane before the imaging session.
      PDGFRβ–Salsa6F signal (weak). 940: PDGFRβ–Salsa6F signal (strong).
      •              Channel 3. 750: Renal epithelial autofluorescence-
      endogenous signal. 940: Renal epithelial autofluorescence- endogenous
      signal. •              Channel 4. 750: Renal epithelial autofluorescence-
      endogenous signal. 940: Collagen fibers images via second harmonic
      generation (SHG)- endogenous signal. Channel 1, which did not convey
      relevant physiological signals, was occasionally disabled during
      acquisition to optimize data storage and minimize file size. In those
      cases only 3 channels are present in the file. **# Nomenclature** File
      nomenclature specifies the required information to allocate any imaging
      file to the relevant protocol details, separated by an underscore sign
      (“_“). •                           ZSeries: scan type, volumetric
      acquisition •                           ID0xx: subject experimental ID
      •              FOVx: unique FOV within each experimental subject. Each FOV
      has been serially imaged over different days from partial IRI
      •                           Dxx: days from partial IRI disease model
      •                           WLxx: the wavelength used to excite. Either
      750 nm or 940 nm. •                           Each file name ends with the
      file acquisition date on the format DDMMYYY  **# Subject-specific
      deviations** On the 3-week follow-up protocols, imaging days 14 to 21 from
      partial IRI required imaging deeper to locate the tubular structure, which
      was imaged serially over the initial week from partial IRI. FOVs from
      those days may include volumetric image sequences larger than 60 images.
      Likewise, the laser power used to excite has also been increased. ####
      **File: Dataset_002_Laser_Injury.zip** Description: Serial *in vivo*
      imaging via two-photon microscopy and genetic identification of PDGFRβ
      cells in kidneys undergoing laser-induced tubular injury. **# What each
      imaging file represents** Volumetric image series of renal cortex (mice),
      approximately 60 µm depth, step size 1-2 µm. The starting imaging location
      was selected at the depth of the renal capsule (identified via second
      harmonic generation, displayed in blue, in the 940 excitation files). **#
      Color Scheme** Images were acquired using both 750 nm as excitation
      wavelength, and 940 nm as excitation wavelength. For each Field of view,
      there is a file for the 750 excitation and 940 excitation track. For each
      excitation track, light has been collected in either 3 or 4 different
      channels. Ch1: λet = Empty Ch2: λet = 610 ± 35 nm (multialkali PMT),  Ch3:
      λet = 540 ± 20 nm (GaAsP), Ch4: λet = 480 ± 20 nm (GaAsP). What do we see
      in each channel: •              Channel 1. N/A •              Channel 2.
      750: Alexa-594 albumin, Propidium Iodide. Both were injected
      retroorbitally under isoflurane before the imaging session. PDGFRβ–Salsa6F
      signal (weak). 940: PDGFRβ–Salsa6F signal (strong). •              Channel
      3. 750: Renal epithelial autofluorescence- endogenous signal.
      PDGFRβ–Salsa6F signal (weak). 940: Renal epithelial autofluorescence-
      endogenous signal. PDGFRβ–Salsa6F signal (strong). •              Channel
      4. 750: Renal epithelial autofluorescence- endogenous signal. 940:
      Collagen fibers images via second harmonic generation (SHG)- endogenous
      signal. Channel 1, which did not convey relevant physiological signals,
      was occasionally disabled during acquisition to optimize data storage and
      minimize file size. In those cases, only 3 channels are present in the
      file. **# Nomenclature** File nomenclature specifies the required
      information to allocate any imaging file to the relevant protocol details,
      separated by an underscore sign (“_“). •                          
      ZSeries: scan type, volumetric acquisition •                          
      ID0xx: subject experimental ID •              FOVx: unique FOV within each
      experimental subject. Each FOV has been serially imaged over different
      days from partial IRI •                           Dxx: days from partial
      IRI disease model •                           WLxx: the wavelength used to
      excite. Either 750 nm or 940 nm. •                           Each file
      name ends with the file acquisition date in format DDMMYYY **File:
      Dataset_003_Control.zip** Description: Serial intravital imaging via
      2-photon microscopy and genetic identification of PDGFRβ cells in kidneys
      undergoing sham ischemia-reperfusion injury (IRI) surgery. **# What each
      imaging file represents** Volumetric image series of renal cortex (mice),
      approximately 60 µm depth, step size 1-2 µm. The starting imaging location
      was selected at the depth of the renal capsule (identified via second
      harmonic generation, displayed in blue, in the 940 excitation files). **#
      Color Scheme** Images were acquired using both 750 nm as excitation
      wavelength, and 940 nm as excitation wavelength. For each Field of view,
      there is a file for the 750 excitation and 940 excitation track. For each
      excitation track, light has been collected in either 3 or 4 different
      channels. For all subject IDs, the Olympus system with the following
      detection cubes has been used: Ch1: λet = Empty Ch2: λet = 610 ± 35 nm
      (multialkali PMT),  Ch3: λet = 540 ± 20 nm (GaAsP), Ch4: λet = 480 ± 20 nm
      (GaAsP). What do we see in each channel: •              Channel 1. N/A
      •              Channel 2. 750: Alexa-594 albumin, Propidium Iodide (only
      present in Day 0). Both were injected retroorbitally under isoflurane
      before the imaging session. PDGFRβ–Salsa6F signal (weak). 940:
      PDGFRβ–Salsa6F signal (strong). •              Channel 3. 750: Renal
      epithelial autofluorescence- endogenous signal. PDGFRβ–Salsa6F signal
      (weak). 940: Renal epithelial autofluorescence- endogenous signal.
      PDGFRβ–Salsa6F signal (strong). •              Channel 4. 750: Renal
      epithelial autofluorescence- endogenous signal. 940: Collagen fibers
      images via second harmonic generation (SHG)- endogenous signal. Channel 1,
      which did not convey relevant physiological signals, was occasionally
      disabled during acquisition to optimize data storage and minimize file
      size. In those cases, only 3 channels are present in the file. **#
      Nomenclature** File nomenclature specifies the required information to
      allocate any imaging file to the relevant protocol details, separated by
      an underscore sign (“_“). •                           ZSeries: scan type,
      volumetric acquisition •                           ID0xx: subject
      experimental ID •              FOVx: unique FOV within each experimental
      subject. Each FOV has been serially imaged over different days from
      partial IRI •                           Dxx: days from partial IRI disease
      model •                           WLxx: the wavelength used to excite.
      Either 750 nm or 940 nm. •                           Each file name ends
      with the file acquisition date in the format DDMMYYY  **# Subject-specific
      deviations** On the 3-week follow-up protocols, imaging days 14 to 21 from
      partial IRI required imaging deeper to locate the tubular structure, which
      was imaged serially over the initial week from partial IRI. FOVs from
      those days may include volumetric image sequences larger than 60 images.
      Likewise, the laser power used to excite has also been increased. **File:
      Dataset_004_Vcam1Kim1.zip** Description: Ex vivo imaging of human biopsies
      from kidney transplantations stained for Kim1 and Vcam1. **# What each
      imaging file represents** Single image of a human kidney biopsy stained
      for either Vcam1 or Kim1. **# Color Scheme** Biopsies were imaged with an
      emission wavelength of 518 nm, 455 nm, and 565 nm, corresponding to
      channel 1, 2, and 3 in the images of Vcam1 and channel 2, 1, and 3 for
      Kim1. **Vcam1** Ch1: λet = Emission wavelength: 518 nm Ch2: λet = Emission
      wavelength: 455 nm Ch3: λet = Emission wavelength: 565 nm What do we see
      in each channel: •              Channel 1. Autofluorescence from kidney
      tubules (green) •              Channel 2. Hoechst staining (blue)
      •              Channel 3. Vcam1 staining (red) **Kim1** Ch1: λet =
      Emission wavelength: 455 nm Ch2: λet = Emission wavelength: 518 nm Ch3:
      λet = Emission wavelength: 565 nm What do we see in each channel:
      •              Channel 1. Hoechst staining (blue) •              Channel
      2. autofluorescence from kidney tubules (green) •              Channel 3.
      Kim1 staining (red) **# Nomenclature** File nomenclature specifies the
      required information to allocate any imaging file to the relevant protocol
      details, separated by an underscore sign (“_“). •              Vcam1/Kim1:
      staining of either Vcam1 or Kim1 •              IDxxx: randomized ID
      number **File: Dataset_005_Ex vivo.zip** Description: Ex vivo images of
      stained kidney sections 4 days, 7 days, and 21 days after partial IRI.
      Sections were stained for Vcam1, CD68, PCK1, αSMA, PDGFRβ, and Picrosirius
      Red. Images have been acquired in the IRI area or in the non-IRI area. Day
      4 data are from 4 different mice (3087, 3088, 3089, 3090) Day 7 data are
      from 3 different mice (2929, 2935, 2937) Day 21 data are from 3 different
      mice (2893, 2895, 2896) Samples were stained for αSMA together with
      PDGFRβ. Samples were stained for CD68 together with Vcam1. Samples were
      stained for PKC1 together with Vcam1. **# What each imaging file
      represents** Single images of renal cortex (mice) stained for Vcam1, CD68,
      PKC1, αSMA, PDGFRβ, and SiriusRed. Each image has three different channels
      as specified: **# Color Scheme** αSMA/PDGFRβ: Ch1: λet = PDGrb staining
      (red) Ch2: λet = aSMA staining (green) Ch3: λet = Tubular autofluorescence
      (blue) CD68/Vcam1: Ch1: λet = Vcam1 staining (red) Ch2: λet = CD68
      staining (green) Ch3: λet = Tubular autofluorescence (blue) PCK1/Vcam1:
      Ch1: λet = Vcam1 staining (red) Ch2: λet = PCK1 staining (green) Ch3: λet
      = Tubular autofluorescence (blue) Picrosirius Red: Ch1: λet = Picrosirius
      Red staining (red) Ch2: λet = Tubular autofluorescence (green) Ch3: λet =
      Tubular autofluorescence (blue) **File: File: Dataset_006\_ Correlative
      imaging of Vcam1.zip** Description: Correlative imaging of Partial IRI
      kidney in vivo and ex vivo stained for Vcam1. Mice were imaged in vivo at
      day 4 after partial IRI, whereafter they were perfusion fixed and the
      kidney taken out, stained for Vcam1, and then the same areas were imaged
      ex vivo. **# What each imaging file represents** Volumetric images of
      renal cortex (mice), approximately 60 µm depth, step size 1-2 µm. The
      starting imaging location was selected at the depth of the renal capsule
      (identified via second harmonic generation, displayed in blue, in the 940
      excitation files). **# Color Scheme** Images were acquired using both 750
      nm as excitation wavelength, and 940 nm as excitation wavelength for in
      vivo and 800 nm for ex vivo. For each Field of view, there is a file for
      the 750, 800, and 940 excitation tracks. For each excitation track, light
      has been collected in either 3 or 4 different channels. 1\) in vivo images
      Ch1: λet = Empty Ch2: λet = 610 ± 35 nm (multialkali PMT),  Ch3: λet = 540
      ± 20 nm (GaAsP), Ch4: λet = 480 ± 20 nm (GaAsP). What do we see in each
      channel: •              Channel 1. N/A •              Channel 2. 750:
      Alexa-594 albumin. PDGFRβ–Salsa6F signal (weak). 940: PDGFRβ–Salsa6F
      signal (strong). •              Channel 3. 750: Renal epithelial
      autofluorescence- endogenous signal. PDGFRβ–Salsa6F signal (weak). 940:
      Renal epithelial autofluorescence- endogenous signal. PDGFRβ–Salsa6F
      signal (strong). •              Channel 4. 750: Renal epithelial
      autofluorescence- endogenous signal. 940: Collagen fibers images via
      second harmonic generation (SHG)- endogenous signal. Channel 1, which did
      not convey relevant physiological signals, was occasionally disabled
      during acquisition to optimize data storage and minimize file size. In
      those cases, only 3 channels are present in the file. 2\) ex vivo images
      Ch1: λet = Empty Ch2: λet = 570 ± 30 nm (multialkali PMT),  Ch3: λet =
      521,5 ± 16,5 nm (GaAsP), Ch4: λet = 452,5 ± 22,5 nm (GaAsP). What do we
      see in each channel: •              Channel 1. N/A •              Channel
      2: PDGFRβ–Salsa6F signal •              Channel 3: Renal epithelial
      autofluorescence- endogenous signal •              Channel 4: Vcam1
      staining Channel 1, which did not convey relevant physiological signals,
      was occasionally disabled during acquisition to optimize data storage and
      minimize file size. In those cases, only 3 channels are present in the
      file. ## Code/software **We recommend opening the images in FIJI** **Image
      Processing** The images have been opened using the free software FIJI Java
      version: 2.14.0/1.54f In case of bending of the field of view over time,
      the serial imaging data were registered to day 0, in order to visualize
      the images in 2D Registration of serial imaging data was performed using a
      combination of a manual landmark-based volumetric registration within the
      FIJI plugin BigWarp using rigid rotation transforms, and intensity-based
      medical image registration using Elastix. For
      Dataset_002_Laser_Injury.zip, a tile scan approach was utilized if the
      damaged area exceeded the normal field of view. These tiles were later
      stitched using the CellSens software (Olympus, Japan). For Dataset_005_Ex
      vivo.zip, the tilescan function has likewise occasionally been used to
      show big overviews. No other processing has been performed on the images
      uploaded in this dataset. ## Access information Other publicly accessible
      locations of the data: * None. The biological interpretation of the data
      is described in detail in the associated manuscript. Data was derived from
      the following sources: * All data presented in this dataset were acquired
      by the authors using the experimental 2-photon microscopy facilities
      provided by the Health Bioimaging Core facility at Aarhus University and
      the Center for Functionally and Integrative Neuroscience (CFIN), Aarhus
      University
    </description>
  </descriptions>
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