Gene expression profiles of senescent biliary epithelial cells induced by serum depletion and GCDC
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE168052 | GEO | 2021/06/09
REPOSITORIES: GEO
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Project description:Gene expression profiles of senescent biliary epithelial cells induced by serum depletion and GCDC
| PRJNA705962 | ENA
Project description:The presence of senescent cells in the aging/degenerating human disc is now well-recognized. Senescent cells are viable, cannot divide, remain metabolically active and accumulate within the disc over time. Molecular analysis of senescent cells in tissue, however, offers a special challenge since there are no cell surface markers for senescence which would let one use fluorescence-activated cell sorting as a method for separating out senescent cells. Here we use a novel experimental design using laser capture microdissection to selectively separately harvest senescent and non-senescent annulus cells in paraffin-embedded tissue, and then compare their gene expression with microarray analysis. An initial in vitro study using cultured human annulus cells was first performed to test whether there was any difference in identification of senescent cells using the accepted histochemical methodology vs. the immunofluoresent identification of cells positive for senescence-associated-ß-galactosidase in control cells and cells induced into stress-induced premature senescence via hydrogen peroxide exposure. No statistically significant difference was found between the 2 methods. Laser capture microdissection was used to separately harvest senescent and non-senescent cells from 11 human annulus specimens, and microarray analysis was used to determine gene expression levels. Genes with established relationships to senescence were found to be significantly upregulated in senescent cells vs. non-senescent cells. Additional genes related to cytokines, cell proliferation, and other cell processes were also identified. Disc Tissue samples were obtained from surgical disc procedures performed on patients with herniated discs and degenerative disc disease. Tissue was fixed and paraffin embedded. Standard laser capture microdissection (LCM) techniques were used to collect senescent cells. Remaining non-senescent cells were scraped from the histology slide. Total RNA was isolated and analyzed via mircoarray. Gene expression from senescent cells was compared to non-senescent cells. Eight histological samples were used to obtain both senescent and non-senescent cells. From an additional 3 samples, only senescent cells were harvested.
2009-07-15 | E-GEOD-17077 | biostudies-arrayexpress
Project description:Using an optimized analysis data workflow, we identified 3945 genes were upregulated and 510 genes were downregulated in scr senescent cells as compared to scr non-senescent cells. CSE knockdown cells also showed huge differences in gene expression as compared to scr cells in both non-senescent and senescent conditions. For analysis purposes, all samles were used in duplicates.
2023-08-02 | GSE200541 | GEO
Project description:Microarrays analysis identifies WNT16in senescent fibroblasts. To identify genes expressed in replicative senescence, microarray experiments were conducted in which we compared the RNA expression profile of young MRC5 fibroblasts at population doubling 28 (PDL28) and replicative senescent MRC5 fibroblasts at PDL63. In total, 177 gene probes were upregulated and 338 gene probes were downregulated in senescent versus young MRC5 fibroblasts. Genes were classified based on mapping to KEGG pathways. Upregulated genes were enriched in three KEGG pathways, the Wingless-type MMTV integration site (WNT) signaling pathway (WNT16, PLCB4, CCND2, SFRP1, WNT5B, RAC2), cytokine-cytokine receptor interaction (TNFRSF10D, TNFRSF10B, TNFRSF10C, IL1R2, IL18, VEGFC), and the p53 signaling pathway (CDKN1A, TNFRSF10B, PERP, STEAP3, ZMAT3). Repressed genes were enriched in three KEGG pathways, cell cycle (PKMYT1, CDC7, CCNE2, MCM4, BUB1, CDC25A, CDKN1B, MCM6, PLK1, CDKN2C, CCNB2, MCM3, BUB1B, CCNA2, CDC2), cytokine-cytokine receptor interaction (KITLG, IL11, TNFSF4, CCL2, PDGFRA, TNFRSF11B, TGFBR1, IL1R1, TNFRSF19), and DNA replication (POLE, RFC2, MCM4, RNASEH2B, POLA1, DNA2, MCM6, PRIM1, RFC4, MCM3). Along with p53 transcriptional targets (CDKN1A, PERP, WIG1), genes encoding secreted factors (WNT16, MMP10, MMP3) were among the most strongly increased in senescent cells. Six arrays were hybridized with complex probes consisting of RNA isolated from MRC5 fibroblasts at population doubling 63 (undergoing replicative senescence) and RNA isolated from MRC5 fibroblats at population doubling 28 (young). The six arrays correspond to three biological replicates, each with a dye-swap technical replicate.
2010-05-18 | E-GEOD-15919 | biostudies-arrayexpress
Project description:We characterized senescent alveolar epithelial cells in an effort to better understand how these cells contribute to lung remodeling and fibrosis. The transcriptional profiles of several different types of senescent lung epithelial cells was evaluated using various induction methods in order to better understand core characteristics associated with the senescent program in epithelial cells of the lung.
2021-03-08 | GSE166034 | GEO
Project description:Characterizing senescent lung epithelial cells
| PRJNA699009 | ENA
Project description:Microarrays analysis identifies WNT16in senescent fibroblasts. To identify genes expressed in replicative senescence, microarray experiments were conducted in which we compared the RNA expression profile of young MRC5 fibroblasts at population doubling 28 (PDL28) and replicative senescent MRC5 fibroblasts at PDL63. In total, 177 gene probes were upregulated and 338 gene probes were downregulated in senescent versus young MRC5 fibroblasts. Genes were classified based on mapping to KEGG pathways. Upregulated genes were enriched in three KEGG pathways, the Wingless-type MMTV integration site (WNT) signaling pathway (WNT16, PLCB4, CCND2, SFRP1, WNT5B, RAC2), cytokine-cytokine receptor interaction (TNFRSF10D, TNFRSF10B, TNFRSF10C, IL1R2, IL18, VEGFC), and the p53 signaling pathway (CDKN1A, TNFRSF10B, PERP, STEAP3, ZMAT3). Repressed genes were enriched in three KEGG pathways, cell cycle (PKMYT1, CDC7, CCNE2, MCM4, BUB1, CDC25A, CDKN1B, MCM6, PLK1, CDKN2C, CCNB2, MCM3, BUB1B, CCNA2, CDC2), cytokine-cytokine receptor interaction (KITLG, IL11, TNFSF4, CCL2, PDGFRA, TNFRSF11B, TGFBR1, IL1R1, TNFRSF19), and DNA replication (POLE, RFC2, MCM4, RNASEH2B, POLA1, DNA2, MCM6, PRIM1, RFC4, MCM3). Along with p53 transcriptional targets (CDKN1A, PERP, WIG1), genes encoding secreted factors (WNT16, MMP10, MMP3) were among the most strongly increased in senescent cells.
2009-12-15 | GSE15919 | GEO
Project description:The presence of senescent cells in the aging/degenerating human disc is now well-recognized. Senescent cells are viable, cannot divide, remain metabolically active and accumulate within the disc over time. Molecular analysis of senescent cells in tissue, however, offers a special challenge since there are no cell surface markers for senescence which would let one use fluorescence-activated cell sorting as a method for separating out senescent cells. Here we use a novel experimental design using laser capture microdissection to selectively separately harvest senescent and non-senescent annulus cells in paraffin-embedded tissue, and then compare their gene expression with microarray analysis. An initial in vitro study using cultured human annulus cells was first performed to test whether there was any difference in identification of senescent cells using the accepted histochemical methodology vs. the immunofluoresent identification of cells positive for senescence-associated-ß-galactosidase in control cells and cells induced into stress-induced premature senescence via hydrogen peroxide exposure. No statistically significant difference was found between the 2 methods. Laser capture microdissection was used to separately harvest senescent and non-senescent cells from 11 human annulus specimens, and microarray analysis was used to determine gene expression levels. Genes with established relationships to senescence were found to be significantly upregulated in senescent cells vs. non-senescent cells. Additional genes related to cytokines, cell proliferation, and other cell processes were also identified.
2009-07-15 | GSE17077 | GEO
Project description:Obesity is a major contributor to metabolic and cardiovascular diseases. Senescence is a highly dynamic process activated by diverse stimuli and increased cellular senescence has been associated with age-related disorders. Here, we investigated the impact of cellular senescence in obesogenic diet-related metabolic and cardiac dysfunctions. An obesogenic diet induced an increase on body weight gain and adiposity, glucose intolerance, insulin resistance, dyslipidemia, and hepatic disorders in mice; however, these alterations were prevented by a senolytic cocktail (dasatinib and quercetin), which leads to removal of senescent cells. In addition, the elimination of senescent cells counteracted the activation of the senescent program and DNA damage in the white adipose tissue (WAT) induced by an obesogenic diet. Obese mice had an increase of the senescence-associated secretory phenotype (SASP) and DNA damage in the heart, cardiac hypertrophy, and diastolic dysfunction; however, the use of a senolytic combination abolished these myocardial alterations caused by an obesogenic diet. Transcriptomic analysis of the hearts revealed that obese mice exhibited a downregulation of genes associated with fatty acid metabolism, oxidative phosphorylation, PI3K AKT MTOR signaling, P53 pathway, and DNA repair; however, the treatment with senolytic cocktail induced an increase of these pathways in the heart. Collectively, these data suggest that obesogenic diet elicits WAT and cardiac senescence program in mice, and that targeting senescent cells may be a novel therapeutic strategy for attenuating obesity-related metabolic and cardiac disorders.
2024-12-19 | GSE264313 | GEO
Project description:Purpose: The objective of this study was to investigate the senescent phenotypes of human corneal endothelial cells (hCEnCs) upon treatment with ultraviolet (UV)-A. Methods: We assessed cell morphology, senescence-associated β-galactosidase (SA-β-gal) activity, cell proliferation and expression of senescence markers (p16 and p21) in hCEnCs exposed to UV-A radiation, and senescent hCEnCs induced by ionizing radiation (IR) were used as positive controls. We performed RNA sequencing and proteomics analysis to compare gene and protein expression profiles between UV-A- and IR-induced senescent hCEnCs, and we also compared the results to non-senescent hCEnCs. Results: Cells exposed to 5 J/cm2 of UV-A or to IR exhibited typical senescent phenotypes, including enlargement, increased SA-β-gal activity, decreased cell proliferation and elevated expression of p16 and p21. RNA-Seq analysis revealed that 83.9% of the genes significantly upregulated and 82.6% of the genes significantly downregulated in UV-A-induced senescent hCEnCs overlapped with the genes regulated in IR-induced senescent hCEnCs. Proteomics also revealed that 93.8% of the proteins significantly upregulated in UV-A-induced senescent hCEnCs overlapped with those induced by IR. In proteomics analyses, senescent hCEnCs induced by UV-A exhibited elevated expression levels of several factors part of the senescence-associated secretory phenotype. Conclusion: In this study, where senescence was induced by UV-A, a more physiological stress for hCEnCs compared to IR, we determined that UV-A modulated the expression of many genes and proteins typically altered upon IR treatment, a more conventional method of senescence induction, even though UV-A also modulated specific pathways unrelated to IR.
2024-05-17 | GSE250224 | GEO