Similarities in Gene Expression Profiles during In Vitro Aging of Primary Human Embryonic Lung and Foreskin Fibroblasts

BioMed Research International
Shiva MarthandanStephan Diekmann

Abstract

Replicative senescence is of fundamental importance for the process of cellular aging, since it is a property of most of our somatic cells. Here, we elucidated this process by comparing gene expression changes, measured by RNA-seq, in fibroblasts originating from two different tissues, embryonic lung (MRC-5) and foreskin (HFF), at five different time points during their transition into senescence. Although the expression patterns of both fibroblast cell lines can be clearly distinguished, the similar differential expression of an ensemble of genes was found to correlate well with their transition into senescence, with only a minority of genes being cell line specific. Clustering-based approaches further revealed common signatures between the cell lines. Investigation of the mRNA expression levels at various time points during the lifespan of either of the fibroblasts resulted in a number of monotonically up- and downregulated genes which clearly showed a novel strong link to aging and senescence related processes which might be functional. In terms of expression profiles of differentially expressed genes with age, common genes identified here have the potential to rule the transition into senescence of embryonic lung and foresk...Continue Reading

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Citations

May 12, 2017·Proceedings of the National Academy of Sciences of the United States of America·Paul LesbatsPeter Cherepanov
Jun 29, 2017·Experimental Gerontology·Georgios S MarkopoulosEvangelos Kolettas
Jan 30, 2018·Annals of the New York Academy of Sciences·Ashley AzarChristian Sell
Nov 21, 2018·Aging Cell·António Sousa-FrancoBruno Bernardes de Jesus
Aug 11, 2017·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Yasuhiro TsumeGordon L Amidon
Nov 22, 2019·Frontiers in Immunology·Rebekka GröbnerJohannes Zschocke
Feb 25, 2021·Molecular Biology of the Cell·Carly M Garrison, Jean E Schwarzbauer

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Datasets Mentioned

BETA
GSE63577

Methods Mentioned

BETA
RNA-seq
PCA
xenograft

Software Mentioned

STRING
Excel
FungiFun2
TreeMaps
CASAVA
Cognoscente
featureCounts
DESeq
Bioconductor
Tophat

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