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Protein–protein interaction networks are constructed for each renal cell type to visualize DKD-related molecular connectivity. Nodes represent proteins implicated in diabetic kidney disease (DKD) based on comprehensive literature curation, proteomic profiling, mRNA microarray analyses, and GWAS hits. Edges denote experimentally validated interactions retrieved from the SIGNOR 3.0 database; only interactions for which both source and target belong to the DKD-associated set are retained. Network ...
Creator: Farnoush Kiyanpour
Submitter: Farnoush Kiyanpour
Gene Ontology (GO) enrichment is performed using WebGestalt 2024 (DOI:10.1093/nar/gkae456). UniProt identifiers serves as input for an over-representation analysis employing the hypergeometric test with Benjamini–Hochberg false discovery rate (FDR) correction (FDR ≤ 0.05). The “Biological Process (non-redundant)” GO subset is chosen to minimize annotation overlap. Network nodes denote enriched GO terms, and edges are weighted by the count of common genes, enabling the identification of tightly ...
Creator: Farnoush Kiyanpour
Submitter: Farnoush Kiyanpour
Enriched pathway landscapes are generated for each cell type using WebGestalt 2024 (DOI:10.1093/nar/gkae456). UniProt identifiers serves as input for an over-representation analysis employing the hypergeometric test with Benjamini–Hochberg false discovery rate (FDR) correction (FDR ≤ 0.05). Reactome is selected as the pathway ontology. In the resulting graph, nodes correspond to significantly enriched pathways, and edges width is proportional to the number of shared genes between pathway pairs, ...
Creator: Farnoush Kiyanpour
Submitter: Farnoush Kiyanpour
Gene Ontology (GO) enrichment is performed using WebGestalt 2024 (DOI:10.1093/nar/gkae456). UniProt identifiers serves as input for an over-representation analysis employing the hypergeometric test with Benjamini–Hochberg false discovery rate (FDR) correction (FDR ≤ 0.05). The “Biological Process (non-redundant)” GO subset is chosen to minimize annotation overlap. Network nodes denote enriched GO terms, and edges are weighted by the count of common genes, enabling the identification of tightly ...
Creator: Farnoush Kiyanpour
Submitter: Farnoush Kiyanpour
Enriched pathway landscapes are generated for each cell type using WebGestalt 2024 (DOI:10.1093/nar/gkae456). UniProt identifiers serves as input for an over-representation analysis employing the hypergeometric test with Benjamini–Hochberg false discovery rate (FDR) correction (FDR ≤ 0.05). Reactome is selected as the pathway ontology. In the resulting graph, nodes correspond to significantly enriched pathways, and edges width is proportional to the number of shared genes between pathway pairs, ...
Creator: Farnoush Kiyanpour
Submitter: Farnoush Kiyanpour
Creator: Rene Bults
Submitter: Rene Bults
Creator: Charles Demurjian
Submitter: Charles Demurjian
Creator: Rene Bults
Submitter: Rene Bults
cdf files and sample list
Creators: Meina Neumann-Schaal, Sarah Kirstein
Submitter: Meina Neumann-Schaal
Creator: Charles Demurjian
Submitter: Charles Demurjian
Creators: None
Submitter: Taïsha Joseph-Risch
Creator: Charles Demurjian
Submitter: Charles Demurjian
Creator: Lorenzo Tagliazucchi
Submitter: Lorenzo Tagliazucchi
Creator: Lorenzo Tagliazucchi
Submitter: Lorenzo Tagliazucchi
Creator: Lorenzo Tagliazucchi
Submitter: Lorenzo Tagliazucchi
Creator: Lorenzo Tagliazucchi
Submitter: Lorenzo Tagliazucchi
Creator: Charles Demurjian
Submitter: Charles Demurjian
Raw data (normalized intensities of identified proteins) of MS-Proteomics on fibroblast secretome analyzed on an Orbitrap 480 HRMS (Thermo Fisher), analyzed with Proteome Discoverer (Thermo Fisher).
Creator: Lorenzo Tagliazucchi
Submitter: Lorenzo Tagliazucchi
Raw data (normalized intensities of identified proteins) of MS-Proteomics on fibroblast secretome analyzed on an Orbitrap 480 HRMS (Thermo Fisher), analyzed with Proteome Discoverer (Thermo Fisher).
Creator: Lorenzo Tagliazucchi
Submitter: Lorenzo Tagliazucchi
Raw data (normalized intensities of identified proteins) of MS-Proteomics on fibroblast secretome analyzed on an Orbitrap 480 HRMS (Thermo Fisher), analyzed with Proteome Discoverer (Thermo Fisher).
Creator: Lorenzo Tagliazucchi
Submitter: Lorenzo Tagliazucchi
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.
Creators: Karl-Heinz Herrmann, Wan-Ting Zhao
Submitter: Karl-Heinz Herrmann
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