ArticleScientific reports2021
Tissue, age, sex, and disease patterns of matrisome expression in GTEx transcriptome data.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
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- Extracellular matrix: new insights into its role in female reproductive aging and potential therapeutic strategies.npj aging · 2026Review
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- Multi-tissue transcriptomic aging atlas reveals predictive aging biomarkers in the killifish.Nature aging · 2026Article
- A visualization tool for individual gene expression profiles among males and females in GTEx tissues.Biology of sex differences · 2025Article
- Synovial matrix turnover controls immune cell spatial patterning in inflammation resolution.Molecular systems biology · 2025Article
- De Novo Gene Emergence: Summary, Classification, and Challenges of Current Methods.Genome biology and evolution · 2025Review
- MatriCom, a single-cell RNA-sequencing data mining tool to infer cell-extracellular matrix interactions.Journal of cell science · 2025Article
- Comprehensive analysis of MGLL as a novel diagnostic and prognostic biomarker for clear cell renal cell carcinoma.Frontiers in oncology · 2025Article
- Article
- Mechanisms of assembly and remodelling of the extracellular matrix.Nature reviews. Molecular cell biology · 2024Review
- Patterns of Unwanted Biological and Technical Expression Variation Among 49 Human Tissues.Laboratory investigation; a journal of technical methods and pathology · 2024Article
- Housekeeping protein-coding genes interrogated with tissue and individual variations.Scientific reports · 2024Article
- Quantitative proteomics identifies tumour matrisome signatures in patients with non-small cell lung cancer.Frontiers in oncology · 2023Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
The extracellular matrix (ECM) has historically been explored through proteomic methods. Whether or not global transcriptomics can yield meaningful information on the human matrisome is unknown. Gene expression data from 17,382 samples across 52 tissues, were obtained from the Genotype-Tissue Expression (GTEx) project. Additional datasets were obtained from The Cancer Genome Atlas (TCGA) program and the Gene Expression Omnibus for comparisons. Gene expression levels generally matched proteome-derived matrisome expression patterns. Further, matrisome gene expression properly clustered tissue types, with some matrisome genes including SERPIN family members having tissue-restricted expression patterns. Deeper analyses revealed 382 gene transcripts varied by age and 315 varied by sex in at least one tissue, with expression correlating with digitally imaged histologic tissue features. A comparison of TCGA tumor, TCGA adjacent normal and GTEx normal tissues demonstrated robustness of the GTEx samples as a generalized matrix control, while also determining a common primary tumor matrisome. Additionally, GTEx tissues served as a useful non-diseased control in a separate study of idiopathic pulmonary fibrosis (IPF) matrix changes, while identifying 22 matrix genes upregulated in IPF. Altogether, these findings indicate that the transcriptome, in general, and GTEx in particular, has value in understanding the state of organ ECM.
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