Matrisome Transcriptome Dynamics during Tissue Aging.
Zulfiya G GuvatovaAnastasiya A KobelyatskayaEveline R KudashevaElena A PudovaElizaveta V BulavkinaAlexey V ChurovOlga N TkachevaAleksey Igorevich MoskalevPublished in: Life (Basel, Switzerland) (2024)
The extracellular matrix (ECM) is a complex three-dimensional network of macromolecules that provides structural support for the cells and plays a significant role in tissue homeostasis and repair. Growing evidence indicates that dysregulation of ECM remodeling contributes to various pathological conditions in the body, including age-associated diseases. In this work, gene expression data of normal human tissues obtained from the Genotype-Tissue Expression project, as well as data from MatrisomeDB 2.0, the ECM-protein knowledge database, are used to estimate the age-dependent matrisome transcriptome dynamics in the blood, heart, brain, liver, kidneys, lungs, and muscle. Differential gene expression (DE) analysis revealed dozens of matrisome genes encoding both structural elements of the ECM and ECM-associated proteins, which had a tissue-specific expression profile with age. Among common DE genes that changed expression with age in at least three tissues, COL18A1 , MFAP1 , IGFBP7 , AEBP1 , LTBP2 , LTBP4 , LG14 , EFEMP1 , PRELP , BGN , FAM20B , CTSC , CTSS , and CLEC2B were observed. The findings of the study also reveal that there are sex-specific alterations during aging in the matrisome gene expression. Taken together, the results obtained in this work may help in understanding the role of the ECM in tissue aging and might prove valuable for the future development of the field of ECM research in general.
Keyphrases
- extracellular matrix
- gene expression
- genome wide
- dna methylation
- poor prognosis
- single cell
- electronic health record
- healthcare
- heart failure
- emergency department
- binding protein
- long non coding rna
- cell cycle arrest
- signaling pathway
- current status
- white matter
- cell death
- blood brain barrier
- multiple sclerosis
- amino acid
- data analysis
- small molecule
- artificial intelligence
- functional connectivity