{"data":{"id":"10.6084/m9.figshare.1568520.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1568520.v1","prefix":"10.6084","suffix":"m9.figshare.1568520.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Fangming Fu","affiliation":[],"nameIdentifiers":[]},{"name":"Xueling Wei","affiliation":[],"nameIdentifiers":[]},{"name":"Jinbo Liu","affiliation":[],"nameIdentifiers":[]},{"name":"Nianrong Mi","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Bioinformatic analysis of specific genes in diabetic nephropathy"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2015,"subjects":[{"subject":"Marine Biology"},{"subject":"Biological Sciences"},{"subject":"Immunology"},{"subject":"FOS: Clinical medicine","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Clinical medicine","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Molecular Biology"},{"subject":"Genetics"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Cell Biology"},{"subject":"Biochemistry"},{"subject":"Biophysics"}],"contributors":[],"dates":[{"date":"2015-08-09","dateType":"Created"},{"date":"2016-01-20","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.3109/0886022x.2015.1061887","relatedIdentifierType":"DOI"},{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.1568520","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["0 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"\u003ci\u003eObjective\u003c/i\u003e: We attempt to explore the pathogenesis and specific genes with aberrant expression in diabetic nephropathy (DN). \u003ci\u003eMethods\u003c/i\u003e: The gene expression profile of GSE1009 was downloaded from Gene Expression Omnibus database, including 3 normal function glomeruli and DN glomeruli from cadaveric donor kidneys. The differentially expressed genes (DEGs) were analyzed and the aberrant gene-related functions were predicted by informatics methods. The protein–protein interaction (PPI) networks for DEGs were constructed and the functional sub-network was screened. \u003ci\u003eResults\u003c/i\u003e: A total of 416 DEGs were found to be differentially expressed in DN samples comparing with normal controls, including 404 up-regulated genes and 12 down-regulated genes. DEGs were involved in the process of combination to saccharides and the decline of tissue repairing ability of the organisms. The genes of \u003ci\u003eVEGFA, ACTG1, HSP90AA1\u003c/i\u003e had high degree in the PPI network. The main biological process of genes in the sub-network was related with cell proliferation and signal transmitting of cell membrane receptor. \u003ci\u003eConclusion\u003c/i\u003e: Significant nodes in PPI network provide new insights to understand the mechanism of DN. \u003ci\u003eVEGFA, ACTG1\u003c/i\u003e and \u003ci\u003eHSP90AA1\u003c/i\u003e may be the potential targets in the DN treatment.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://tandf.figshare.com/articles/dataset/Bioinformatic_analysis_of_specific_genes_in_diabetic_nephropathy/1568520/1","contentUrl":null,"metadataVersion":2,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":2,"viewsOverTime":[{"yearMonth":"2025-10","total":1},{"yearMonth":"2026-08","total":1}],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