{"data":{"id":"10.5061/dryad.m0cfxppjn","type":"dois","attributes":{"doi":"10.5061/dryad.m0cfxppjn","prefix":"10.5061","suffix":"dryad.m0cfxppjn","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Shen, Ying H.","nameType":"Personal","affiliation":["Baylor College of Medicine"],"nameIdentifiers":[]},{"name":"Zhang, Jiasheng","nameType":"Personal","affiliation":["Yale University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-4637-5655","nameIdentifierScheme":"ORCID"}]},{"name":"Tellides, George","nameType":"Personal","affiliation":["Yale University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-7042-8190","nameIdentifierScheme":"ORCID"}]},{"name":"Arany, Zoltan","nameType":"Personal","affiliation":["University of 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University"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-7042-8190","nameIdentifierScheme":"ORCID"}]},{"name":"Arany, Zoltan","nameType":"Personal","affiliation":["University of Pennsylvania"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-1368-2453","nameIdentifierScheme":"ORCID"}]},{"name":"Snyder, Nathaniel","nameType":"Personal","affiliation":["Temple University"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-5643-8747","nameIdentifierScheme":"ORCID"}]},{"name":"Schwartz, Martin","nameType":"Personal","affiliation":["Yale University"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-2071-1243","nameIdentifierScheme":"ORCID"}]},{"name":"Jang, Cholsoon","nameType":"Personal","affiliation":["University of California, Irvine"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-6651-4213","nameIdentifierScheme":"ORCID"}]},{"name":"Bae, Hosung","nameType":"Personal","affiliation":["University of California, Irvine"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-5848-7972","nameIdentifierScheme":"ORCID"}]},{"name":"Zhu, Xiaolong","nameType":"Personal","affiliation":["Zhejiang University"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1894-8727","nameIdentifierScheme":"ORCID"}]},{"name":"Chen, Pei-Yu","nameType":"Personal","affiliation":["Yale University"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-5907-7959","nameIdentifierScheme":"ORCID"}]},{"name":"Simons, Michael","nameType":"Personal","affiliation":["Yale University"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0348-7734","nameIdentifierScheme":"ORCID"}]},{"name":"Zhang, Rong-Mo","nameType":"Personal","affiliation":["Yale University"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0001-9904-7540","nameIdentifierScheme":"ORCID"}]},{"name":"Li, Yanming","nameType":"Personal","affiliation":["Baylor College of Medicine"],"contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-8213-9166","nameIdentifierScheme":"ORCID"}]},{"name":"Yale University","contributorType":"Sponsor","affiliation":[],"nameIdentifiers":[]}],"dates":[{"date":"2026-04-17T18:28:32Z","dateType":"Created"},{"date":"2026-07-14T15:50:33Z","dateType":"Submitted"},{"date":"2026-07-29T00:00:00Z","dateType":"Issued"},{"date":"2026-07-29T00:00:00Z","dateType":"Available"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsCitedBy","relatedIdentifier":"10.64898/2026.05.19.726223","relatedIdentifierType":"DOI"},{"relationType":"IsCitedBy","relatedIdentifier":"10.1126/sciadv.aef6065","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["20833 bytes"],"formats":[],"version":"3","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":"The loss of smooth muscle cell (SMC) contractile phenotype contributes to\n various diseases, including atherosclerosis. However, its metabolic basis\n is not entirely elucidated. Since transforming growth factor beta (TGFβ)\n signaling is among the principal regulators of SMC contractility, we\n studied the metabolic regulation of TGFβ signaling in SMCs in vitro and\n atherosclerotic mouse models and human lesions. We found that TGFβ induced\n Ac-CoA synthetase 2 (ACSS2)-dependent Ac-CoA production by suppressing\n pyruvate dehydrogenase kinase 4 (PDK4). This stabilized R-SMADs and TGFβ\n receptor 1, preserving SMC contractile phenotype. SMC-specific PDK4\n knockout mimicked the effect of TGFβ signaling both metabolically and\n phenotypically, increasing glucose-derived synthesis of Ac-CoA and SMC\n contractile phenotype. SMC-specific Pdk4 knockout in ApoE knockout mice\n reduced atherosclerosis. Furthermore, human specimens demonstrated a\n strong correlation between PDK4 level and atherosclerosis severity. These\n findings indicate that continuous TGFβ signaling, critical to the\n maintenance of the normal SMC contractile state, is regulated by PDK4 and\n carbohydrate metabolism.","descriptionType":"Abstract"},{"description":"# Code from: Metabolic control of smooth muscle cell phenotype switching\n in atherosclerosis Dataset DOI:\n [10.5061/dryad.m0cfxppjn](https://doi.org/10.5061/dryad.m0cfxppjn) ##\n Description of the data and file structure README for Single cell RNAseq\n generated by the Chromium Single Cell Platform (10× Genomics). The gz\n files should include barcodes, features, and matrix. This README provides\n a guide to the contents of the R command files for violinplot, dotplot,\n heatmap, UMAP, and Chordplot. RStudio 2026.04.0+526 or later versions\n could be used for analyses. They could be run independent from each other,\n as each one contains the full procedure starting from package\n installations and file inputs. Package functions and purpose of use in\n each command are described below: * **Violinplot_code.R** 1\\. Seurat This\n is the core package used for almost the entire workflow. It is a\n specialized toolkit for single-cell genomics. Functions used: Read10X(),\n CreateSeuratObject(), NormalizeData(), FindVariableFeatures(),\n ScaleData(), RunPCA(), FindIntegrationAnchors(), IntegrateData(),\n DefaultAssay(), RunUMAP(), FindNeighbors(), FindClusters(), DimPlot(),\n NoLegend(), FindAllMarkers(), FeaturePlot(), and VlnPlot(). Purpose:\n Loading data, QC, normalization, dataset integration, clustering,\n dimensional reduction (PCA/UMAP), and genomic plotting. 2\\. dplyr This\n package is part of the tidyverse ecosystem and is used for data\n manipulation. Functions used: The pipe operator %\u0026gt;%, group_by(),\n top_n(), summarise(), mutate(), and n().Purpose: Filtering the top 10\n marker genes for each cluster and calculating cell count proportions from\n the data matrix. 3\\. ggplot2 This is a popular data visualization package,\n also part of the tidyverse. Functions used: ggplot(), aes(), geom_bar(),\n and labs(). Purpose: Generating the custom bar chart at the bottom of your\n script to compare cell cluster proportions between your samples. 4\\.\n BiocManager (Installation Only) While it is explicitly mentioned at the\n top of your script, it is not used to run any data processing commands. It\n is only included as a package manager utility tool to download and install\n the Bioconductor-dependent version of Seurat. * **dotplot_code.R** 1\\.\n Seurat This remains the core package powering the data structures,\n manipulation, and genomics-specific plotting for the script.Functions\n used: Read10X(), CreateSeuratObject(), merge(), NormalizeData(),\n FindVariableFeatures(), ScaleData(), subset(), and DotPlot(). Purpose:\n Loading 10X data matrices, creating and combining sample-specific data\n objects, executing basic normalization and scaling, filtering for\n Myh11-positive cells, and constructing the comparative dot plot. 2\\.\n ggplot2: This visualization package is explicitly used to modify and\n refine the appearance of the generated genomic plots. Functions used:\n scale_color_gradient(), theme_minimal(), labs(), theme(), element_text(),\n and ggtitle().Purpose: Customizing the plot aesthetics by mapping\n expression scales (from light blue to red), adjusting title/axis labels,\n and rotating X-axis gene text labels for clean readability. *\n **Heatmap_code.R** 1\\. Seurat This is the core toolkit used to manage the\n single-cell expression matrices and perform initial data\n transformations.Functions used: Read10X(), CreateSeuratObject(),\n NormalizeData(), FindVariableFeatures(), ScaleData(), and FetchData().\n Purpose: Loading 10X sparse matrix directories, creating separate project\n data structures, standardizing gene expression scales, and cleanly pulling\n out numerical matrix values for your 52 specific genes of interest. 2\\.\n pheatmap This package specializes in creating highly customizable,\n publication-quality aesthetic cluster heatmaps. Functions used:\n pheatmap(). Purpose: Rendering the individual expression profiles for both\n projects with custom clustering behaviors (clustering the cell columns\n while locking the gene rows in their specified order) and suppressing\n immediate drawing to save them as programmatic objects. 3\\. gridExtra This\n package provides extensions to the grid graphics system to handle the\n positioning of arbitrary graphical objects on a canvas. Functions used:\n grid.arrange(). Purpose: Capturing the raw graphical elements from your\n two standalone heatmaps (using the [[4]] grob extraction subset) and\n drawing them side by side in a clean, two-column layout. * **UMAP_code.R**\n 1\\. Seurat This is the core package used for almost the entire data\n processing workflow, spatial/dimensional modeling, and genomic\n visualization. Functions used: Read10X(), CreateSeuratObject(),\n NormalizeData(), FindVariableFeatures(), ScaleData(), RunPCA(),\n FindIntegrationAnchors(), IntegrateData(), DefaultAssay(), RunUMAP(),\n FindNeighbors(), FindClusters(), DimPlot(), NoLegend(), FindAllMarkers(),\n and FeaturePlot(). Purpose: Ingesting raw expression data, normalizing and\n scaling individual datasets, identifying anchors to correct for batch\n effects between conditions, executing PCA and UMAP, partitioning cells\n into clusters, and rendering cell distribution maps. 2\\. dplyr This\n package is part of the tidyverse ecosystem and is used for fast,\n declarative data frame manipulation. Functions used: The pipe operator\n %\u0026gt;%, group_by(), and top_n().Purpose: Slicing the large table generated\n by FindAllMarkers() to group the data by cell cluster and extract only the\n top 10 most statistically significant marker genes per cluster based on\n log fold-change. * **Chordplot_code.R** 1\\. Seurat This is the core\n toolkit used to ingest, normalize, and extract highly variable biological\n signals from the dataset.Functions used: Read10X(), CreateSeuratObject(),\n NormalizeData(), FindVariableFeatures(), ScaleData(), and\n VariableFeatures(). Purpose: Loading the 10X sparse matrix files, creating\n the structured dataset object, standardizing expression levels, and\n extracting the names of the top 50 most variable genes to use for\n downstream interaction simulation. 2\\. dplyr This package is part of the\n tidyverse ecosystem and handles data frame subsetting and sequencing\n layout operations. Functions used: The pipe operator %\u0026gt;%, arrange(),\n and desc(). Purpose: Sorting the generated table of simulated gene\n pairings in descending order based on their connection scores and slicing\n the top 75 strongest interactions for the visualization matrix. 3\\.\n circlize This package provides a comprehensive layout engine for rendering\n multi-dimensional data structures into circular tracks and connection\n links . Functions used: circos.clear() and chordDiagram(). Purpose:\n Resetting the graphics device canvas to prevent layout overlap and mapping\n the tabular gene-to-gene cross-references into an interconnected chord\n plot. ## Code/software README for Single cell RNAseq generated by Chromium\n Single Cell Platform (10× Genomics). The gz files should include barcodes,\n features, and matrix. This README provides a guide to the contents of the\n R command files for violinplot, dotplot, heatmap, UMAP, and Chordplot.\n RStudio 2026.04.0+526 was used for analyses. They could be run\n independently from each other, as each one contains the full procedure\n starting from package installations and file inputs.","descriptionType":"TechnicalInfo"}],"geoLocations":[],"fundingReferences":[{"funderName":"National Heart, Lung, and Blood Institute","awardNumber":"HL135582","funderIdentifier":"https://ror.org/012pb6c26","funderIdentifierType":"ROR"},{"funderName":"National Heart, Lung, and Blood Institute","awardNumber":"R01 HL167014","funderIdentifier":"https://ror.org/012pb6c26","funderIdentifierType":"ROR"},{"awardTitle":"Victor McKusick Fellowship","funderName":"Marfan Foundation","funderIdentifier":"https://ror.org/05jyw4675","funderIdentifierType":"ROR"},{"funderName":"Knut and Alice Wallenberg Foundation","awardNumber":"KAW 2020.0057","funderIdentifier":"https://ror.org/004hzzk67","funderIdentifierType":"ROR"},{"awardTitle":"Philanthropic support for lab activities","funderName":"Coefficient Giving"}],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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      <affiliation affiliationIdentifier="https://ror.org/00a2xv884" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Zhejiang University</affiliation>
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      <creatorName nameType="Personal">Chen, Pei-Yu</creatorName>
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    <creator>
      <creatorName nameType="Personal">Zhang, Rong-Mo</creatorName>
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    <creator>
      <creatorName nameType="Personal">Li, Yanming</creatorName>
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      <affiliation affiliationIdentifier="https://ror.org/02pttbw34" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Baylor College of Medicine</affiliation>
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  <titles>
    <title>
      Code from: Metabolic control of smooth muscle cell phenotype switching in
      atherosclerosis
    </title>
  </titles>
  <publisher publisherIdentifier="https://ror.org/00x6h5n95" publisherIdentifierScheme="ROR" schemeURI="https://ror.org/">Dryad</publisher>
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  <publicationYear>2026</publicationYear>
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    <subject subjectScheme="fos" schemeURI="https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf">FOS: Basic medicine</subject>
    <subject subjectScheme="fos" schemeURI="https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf">FOS: Biological sciences</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">TGF-beta signaling cascade</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Smooth muscle cells</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Glucose metabolism</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Atherosclerosis</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Acetylation</subject>
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      <funderName>National Heart, Lung, and Blood Institute</funderName>
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      <awardNumber>HL135582</awardNumber>
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      <funderName>National Heart, Lung, and Blood Institute</funderName>
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      <awardNumber>R01 HL167014</awardNumber>
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    <fundingReference>
      <funderName>Marfan Foundation</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/05jyw4675</funderIdentifier>
      <awardTitle>Victor McKusick Fellowship</awardTitle>
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    <fundingReference>
      <funderName>Knut and Alice Wallenberg Foundation</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/004hzzk67</funderIdentifier>
      <awardNumber>KAW 2020.0057</awardNumber>
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    <fundingReference>
      <funderName>Coefficient Giving</funderName>
      <awardTitle>Philanthropic support for lab activities</awardTitle>
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  <contributors>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Shen, Ying H.</contributorName>
      <affiliation affiliationIdentifier="https://ror.org/02pttbw34" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Baylor College of Medicine</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Zhang, Jiasheng</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4637-5655</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/03v76x132" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Yale University</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Tellides, George</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7042-8190</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/03v76x132" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Yale University</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Arany, Zoltan</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1368-2453</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/00b30xv10" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Pennsylvania</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Snyder, Nathaniel</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5643-8747</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/00kx1jb78" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Temple University</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Schwartz, Martin</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2071-1243</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/03v76x132" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Yale University</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Jang, Cholsoon</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6651-4213</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/04gyf1771" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Irvine</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Bae, Hosung</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5848-7972</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/04gyf1771" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Irvine</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Zhu, Xiaolong</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1894-8727</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/00a2xv884" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Zhejiang University</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Chen, Pei-Yu</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5907-7959</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/03v76x132" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Yale University</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Simons, Michael</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0348-7734</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/03v76x132" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Yale University</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Zhang, Rong-Mo</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0001-9904-7540</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/03v76x132" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Yale University</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Li, Yanming</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8213-9166</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/02pttbw34" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Baylor College of Medicine</affiliation>
    </contributor>
    <contributor contributorType="Sponsor">
      <contributorName>Yale University</contributorName>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Created">2026-04-17T18:28:32Z</date>
    <date dateType="Submitted">2026-07-14T15:50:33Z</date>
    <date dateType="Issued">2026-07-29T00:00:00Z</date>
    <date dateType="Available">2026-07-29T00:00:00Z</date>
  </dates>
  <language>en</language>
  <relatedIdentifiers>
    <relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">https://doi.org/10.64898/2026.05.19.726223</relatedIdentifier>
    <relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">https://doi.org/10.1126/sciadv.aef6065</relatedIdentifier>
  </relatedIdentifiers>
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    <size>20833 bytes</size>
  </sizes>
  <version>3</version>
  <rightsList>
    <rights rightsURI="https://spdx.org/licenses/CC0-1.0.html">Creative Commons Zero v1.0 Universal</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">
      The loss of smooth muscle cell (SMC) contractile phenotype contributes to
      various diseases, including atherosclerosis. However, its metabolic basis
      is not entirely elucidated. Since transforming growth factor beta (TGFβ)
      signaling is among the principal regulators of SMC contractility, we
      studied the metabolic regulation of TGFβ signaling in SMCs in vitro and
      atherosclerotic mouse models and human lesions. We found that TGFβ induced
      Ac-CoA synthetase 2 (ACSS2)-dependent Ac-CoA production by suppressing
      pyruvate dehydrogenase kinase 4 (PDK4). This stabilized R-SMADs and TGFβ
      receptor 1, preserving SMC contractile phenotype. SMC-specific PDK4
      knockout mimicked the effect of TGFβ signaling both metabolically and
      phenotypically, increasing glucose-derived synthesis of Ac-CoA and SMC
      contractile phenotype. SMC-specific Pdk4 knockout in ApoE knockout mice
      reduced atherosclerosis. Furthermore, human specimens demonstrated a
      strong correlation between PDK4 level and atherosclerosis severity. These
      findings indicate that continuous TGFβ signaling, critical to the
      maintenance of the normal SMC contractile state, is regulated by PDK4 and
      carbohydrate metabolism.
    </description>
    <description descriptionType="TechnicalInfo">
      # Code from: Metabolic control of smooth muscle cell phenotype switching
      in atherosclerosis Dataset DOI:
      [10.5061/dryad.m0cfxppjn](https://doi.org/10.5061/dryad.m0cfxppjn) ##
      Description of the data and file structure README for Single cell RNAseq
      generated by the Chromium Single Cell Platform (10× Genomics). The gz
      files should include barcodes, features, and matrix. This README provides
      a guide to the contents of the R command files for violinplot, dotplot,
      heatmap, UMAP, and Chordplot. RStudio 2026.04.0+526 or later versions
      could be used for analyses. They could be run independent from each other,
      as each one contains the full procedure starting from package
      installations and file inputs. Package functions and purpose of use in
      each command are described below: * **Violinplot_code.R** 1\. Seurat This
      is the core package used for almost the entire workflow. It is a
      specialized toolkit for single-cell genomics. Functions used: Read10X(),
      CreateSeuratObject(), NormalizeData(), FindVariableFeatures(),
      ScaleData(), RunPCA(), FindIntegrationAnchors(), IntegrateData(),
      DefaultAssay(), RunUMAP(), FindNeighbors(), FindClusters(), DimPlot(),
      NoLegend(), FindAllMarkers(), FeaturePlot(), and VlnPlot(). Purpose:
      Loading data, QC, normalization, dataset integration, clustering,
      dimensional reduction (PCA/UMAP), and genomic plotting. 2\. dplyr This
      package is part of the tidyverse ecosystem and is used for data
      manipulation. Functions used: The pipe operator %&gt;%, group_by(),
      top_n(), summarise(), mutate(), and n().Purpose: Filtering the top 10
      marker genes for each cluster and calculating cell count proportions from
      the data matrix. 3\. ggplot2 This is a popular data visualization package,
      also part of the tidyverse. Functions used: ggplot(), aes(), geom_bar(),
      and labs(). Purpose: Generating the custom bar chart at the bottom of your
      script to compare cell cluster proportions between your samples. 4\.
      BiocManager (Installation Only) While it is explicitly mentioned at the
      top of your script, it is not used to run any data processing commands. It
      is only included as a package manager utility tool to download and install
      the Bioconductor-dependent version of Seurat. * **dotplot_code.R** 1\.
      Seurat This remains the core package powering the data structures,
      manipulation, and genomics-specific plotting for the script.Functions
      used: Read10X(), CreateSeuratObject(), merge(), NormalizeData(),
      FindVariableFeatures(), ScaleData(), subset(), and DotPlot(). Purpose:
      Loading 10X data matrices, creating and combining sample-specific data
      objects, executing basic normalization and scaling, filtering for
      Myh11-positive cells, and constructing the comparative dot plot. 2\.
      ggplot2: This visualization package is explicitly used to modify and
      refine the appearance of the generated genomic plots. Functions used:
      scale_color_gradient(), theme_minimal(), labs(), theme(), element_text(),
      and ggtitle().Purpose: Customizing the plot aesthetics by mapping
      expression scales (from light blue to red), adjusting title/axis labels,
      and rotating X-axis gene text labels for clean readability. *
      **Heatmap_code.R** 1\. Seurat This is the core toolkit used to manage the
      single-cell expression matrices and perform initial data
      transformations.Functions used: Read10X(), CreateSeuratObject(),
      NormalizeData(), FindVariableFeatures(), ScaleData(), and FetchData().
      Purpose: Loading 10X sparse matrix directories, creating separate project
      data structures, standardizing gene expression scales, and cleanly pulling
      out numerical matrix values for your 52 specific genes of interest. 2\.
      pheatmap This package specializes in creating highly customizable,
      publication-quality aesthetic cluster heatmaps. Functions used:
      pheatmap(). Purpose: Rendering the individual expression profiles for both
      projects with custom clustering behaviors (clustering the cell columns
      while locking the gene rows in their specified order) and suppressing
      immediate drawing to save them as programmatic objects. 3\. gridExtra This
      package provides extensions to the grid graphics system to handle the
      positioning of arbitrary graphical objects on a canvas. Functions used:
      grid.arrange(). Purpose: Capturing the raw graphical elements from your
      two standalone heatmaps (using the [[4]] grob extraction subset) and
      drawing them side by side in a clean, two-column layout. * **UMAP_code.R**
      1\. Seurat This is the core package used for almost the entire data
      processing workflow, spatial/dimensional modeling, and genomic
      visualization. Functions used: Read10X(), CreateSeuratObject(),
      NormalizeData(), FindVariableFeatures(), ScaleData(), RunPCA(),
      FindIntegrationAnchors(), IntegrateData(), DefaultAssay(), RunUMAP(),
      FindNeighbors(), FindClusters(), DimPlot(), NoLegend(), FindAllMarkers(),
      and FeaturePlot(). Purpose: Ingesting raw expression data, normalizing and
      scaling individual datasets, identifying anchors to correct for batch
      effects between conditions, executing PCA and UMAP, partitioning cells
      into clusters, and rendering cell distribution maps. 2\. dplyr This
      package is part of the tidyverse ecosystem and is used for fast,
      declarative data frame manipulation. Functions used: The pipe operator
      %&gt;%, group_by(), and top_n().Purpose: Slicing the large table generated
      by FindAllMarkers() to group the data by cell cluster and extract only the
      top 10 most statistically significant marker genes per cluster based on
      log fold-change. * **Chordplot_code.R** 1\. Seurat This is the core
      toolkit used to ingest, normalize, and extract highly variable biological
      signals from the dataset.Functions used: Read10X(), CreateSeuratObject(),
      NormalizeData(), FindVariableFeatures(), ScaleData(), and
      VariableFeatures(). Purpose: Loading the 10X sparse matrix files, creating
      the structured dataset object, standardizing expression levels, and
      extracting the names of the top 50 most variable genes to use for
      downstream interaction simulation. 2\. dplyr This package is part of the
      tidyverse ecosystem and handles data frame subsetting and sequencing
      layout operations. Functions used: The pipe operator %&gt;%, arrange(),
      and desc(). Purpose: Sorting the generated table of simulated gene
      pairings in descending order based on their connection scores and slicing
      the top 75 strongest interactions for the visualization matrix. 3\.
      circlize This package provides a comprehensive layout engine for rendering
      multi-dimensional data structures into circular tracks and connection
      links . Functions used: circos.clear() and chordDiagram(). Purpose:
      Resetting the graphics device canvas to prevent layout overlap and mapping
      the tabular gene-to-gene cross-references into an interconnected chord
      plot. ## Code/software README for Single cell RNAseq generated by Chromium
      Single Cell Platform (10× Genomics). The gz files should include barcodes,
      features, and matrix. This README provides a guide to the contents of the
      R command files for violinplot, dotplot, heatmap, UMAP, and Chordplot.
      RStudio 2026.04.0+526 was used for analyses. They could be run
      independently from each other, as each one contains the full procedure
      starting from package installations and file inputs.
    </description>
  </descriptions>
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