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Related Experiment Video

Updated: Jun 25, 2025

Determining Genome-wide Transcript Decay Rates in Proliferating and Quiescent Human Fibroblasts
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Matrisome Transcriptome Dynamics during Tissue Aging.

Zulfiya G Guvatova1,2, Anastasiya A Kobelyatskaya1, Eveline R Kudasheva2

  • 1Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.

Life (Basel, Switzerland)
|May 25, 2024
PubMed
Summary
This summary is machine-generated.

This study reveals age-related changes in extracellular matrix (ECM) gene expression across human tissues. These matrisome transcriptome dynamics show tissue-specific patterns and sex differences, offering insights into aging and ECM research.

Keywords:
RNA-Seqagingextracellular matrixgene expressionmatrisometissue agingtranscriptome

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Gerontology

Background:

  • The extracellular matrix (ECM) provides structural support and is crucial for tissue homeostasis and repair.
  • Dysregulation of ECM remodeling is linked to aging and various diseases.

Purpose of the Study:

  • To investigate age-dependent changes in the matrisome transcriptome across multiple human tissues.
  • To identify specific ECM genes and associated proteins that exhibit age-related expression patterns.

Main Methods:

  • Utilized gene expression data from the Genotype-Tissue Expression (GTEx) project.
  • Integrated data with MatrisomeDB 2.0, an ECM protein knowledge database.
  • Performed differential gene expression (DE) analysis to identify age- and sex-specific alterations.

Main Results:

  • Identified numerous matrisome genes with tissue-specific age-dependent expression profiles.
  • Highlighted common DE matrisome genes including COL18A1, MFAP1, IGFBP7, and others, across multiple tissues.
  • Revealed sex-specific differences in matrisome gene expression during aging.

Conclusions:

  • The study elucidates the complex dynamics of the matrisome transcriptome during human aging.
  • Findings contribute to understanding the ECM's role in tissue aging and disease.
  • Results may inform future ECM research and therapeutic development.