Data files

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, ...

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 ...

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, ...

cdf files and sample list

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).

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).

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).

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original Bruker MRI data (fid, 2dseq, dicom) but with renamed exam folders based on the display name.

Original MRI Data, Bruker folder structure but Exam folders use "display name", i.e. 2/ becomes E002_Anatomy_Light_T2_E2/.