arrow
Return

Matrisome Transcriptome Dynamics during Tissue Aging

delete2024-05-07
delete0
delete
OA
AI
Z
Zulfiya G. Guvatova
A
Anastasiya A. Kobelyatskaya
E
Eveline R. Kudasheva
E
Elena A. Pudova
E
Elizaveta V. Bulavkina
A
Alexey V. Churov
T
Tkacheva, Olga
A
Alexey Moskalev *
DOI:10.3390/life14050593delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
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.
Keywords:
aging
extracellular matrix
matrisome
RNA-Seq
tissue aging
transcriptome
gene expression
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Life cover
Life
IF:
3.4
Papers:
1.1W
Citations:
2.4W

Organization

E
engelhardt institute of molecular biology, ras
Scholars:
776
Papers: 480
Citations: 3
R
russian academy of sciences
Scholars:
9.1W
Papers: 6.0W
Citations: 60
Cited Papers

Cited Papers

TGF-β: the master regulator of fibrosis
err2016-04-25
err2.6K
PREAI
errMeng, Xiao-ming; Nikolic-Paterson, David J.; Lan, Hui Yao
errShare
errSave
Sex-Stratified Gene Regulatory Networks Reveal Female Key Driver Genes of Atherosclerosis Involved in Smooth Muscle Cell Phenotype Switching
err2021-02-16
err62
errOAAI
errHartman, Robin J. G.; Owsiany, Katie; Ma, Lijiang; Koplev, Simon; Hao, Ke; Slenders, Lotte; Civelek, Mete; Mokry, Michal; Kovacic, Jason C.; Pasterkamp, Gerard; Owens, Gary; Bjorkegren, Johan L. M.; den Ruijter, Hester M.
errShare
errSave
Wnt signaling in cancer
err2016-09-12
err2.1K
errOAAI
errZhan, T.; Rindtorff, N.; Boutros, M.
errShare
errSave
Role of the Extracellular Matrix in Alzheimer's Disease
err2021-08-27
err54
errOAAI
errSun, Yahan; Xu, Sen; Jiang, Ming; Liu, Xia; Yang, Liang; Bai, Zhantao; Yang, Qinghu
errShare
errSave
A Fixed-Point Neural Network Architecture for Speech Applications on Resource Constrained Hardware
err2016-11-25
err0
PREAI
errMohit Shah; Sairam Arunachalam; Jingcheng Wang; David Blaauw; Dennis Sylvester; Hun-Seok Kim; Jae-sun Seo; Chaitali Chakrabarti
errShare
errSave
Age-associated differences in the human lung extracellular matrix
err2023-06-01
err19
errOAAI
errNgassie, Maunick Lefin Koloko; De Vries, Maaike; Borghuis, Theo; Timens, Wim; Sin, Don D.; Nickle, David; Joubert, Philippe; Horvatovich, Peter; Marko-Varga, Gyorgy; Teske, Jacob J.; Vonk, Judith M.; Gosens, Reinoud; Prakash, Y. S.; Burgess, Janette K.; Brandsma, Corry-Anke
errShare
errSave
Advanced Glycation End Products in the Skin: Molecular Mechanisms, Methods of Measurement, and Inhibitory Pathways
err2022-05-11
err61
errOAAI
errChen, Chun-yu; Zhang, Jia-Qi; Li, Li; Guo, Miao-miao; He, Yi-fan; Dong, Yin-mao; Meng, Hong; Yi, Fan
errShare
errSave
errShare
errSave
errShare
errSave
researcher View more