Chromosome positional effects of gene expressions after cellular senescence

Chen, Hung-Lin; Lu, Ching You; Hsu, Yi Hsin; Lin, Jing

doi:10.1016/j.bbrc.2003.11.146

Cited by 10 publications

(10 citation statements)

References 41 publications

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“…Data on the proliferating, senescent and apoptotic fraction at each passage accompanies the analysed microarray data. This extends earlier studies reporting gene expression studies on senescence in other cell types, including fibroblasts, epithelial cells, endothelial cells and keratocytes (Shelton et al 1999, Chen et al 2004and Kipling et al, 2009. Differences in the expression profiles of senescent versus proliferating cells may provide insights into the potential role of senescent VSMCs cells in atherosclerosis.…”

Section: Introductionsupporting

confidence: 81%

Microarray analysis of senescent vascular smooth muscle cells: A link to atherosclerosis and vascular calcification

Burton¹,

Giles²,

Sheerin³

et al. 2009

Experimental Gerontology

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International audienceLittle is known about the senescent phenotype of human vascular smooth muscle cells (VSMCs) and the potential involvement of senescent VSMCs in age-related vascular disease, such as atherosclerosis. As such, VSMCs were grown and characterised to generate senescent VSMCs needed for microarray analysis (Affymetrix). Comparative analysis of the transcriptome profiles of early (14 CPD) and late (39-42 CPD) passage VSMCs found a total of 327 probesets called as differentially expressed: 149 are up-regulated in senescence and 178 repressed (-value < 0.5%, minimum effect size of at least 2-fold differential regulation, explore data at www.madras.cf.ac.uk/vsmc). Data mining shows a differential regulation of genes at senescence associated with the development of atherosclerosis and vascular calcification. These included genes with roles in inflammation (IL1β, IL8, ICAM1, TNFAP3, ESM1 and CCL2), tissue remodelling (VEGF, VEGFβ, ADM and MMP14) and vascular calcification (MGP, BMP2, SPP1, OPG and DCN). The microarray data for IL1β, IL8 and MGP were validated by either, ELISA, Western blot analysis or RT-PCR. These data thus provide the first evidence for a role of VSMC senescence in the development of vascular calcification and provides further support for the involvement of senescent VSMCs in the progression of atherosclerosis

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Section: Introductionsupporting

confidence: 81%

Microarray analysis of senescent vascular smooth muscle cells: A link to atherosclerosis and vascular calcification

Burton¹,

Giles²,

Sheerin³

et al. 2009

Experimental Gerontology

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“…DNAH9 encodes dynein axonemal heavy chain 9, one subunit of dynein multiprotein complex, and dynein is involved in the cytoplasmic movement of chromosome and organelle and bending of cilia/flagella (Bartoloni et al, 2001). Because another subunit of dynein complex, dynein cytoplasmic heavy polypeptide 1 (DNCH1) is also repressed during senescence (Chen et al, 2004), it appears that the dynein component expressions are generally down-regulated in the senescent cells due to the lack of cytoplasmic movement.…”

Section: Discussionmentioning

confidence: 99%

Differential Expression of Extracellular Matrix Proteins in Senescent and Young Human Fibroblasts: a Comparative Proteomics and Microarray Study

Yang

Kwon

Rhim

et al. 2011

Molecules and Cells

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The extracellular matrix (ECM) provides an essential structural framework for cell attachment, proliferation, and differentiation, and undergoes progressive changes during senescence. To investigate changes in protein expression in the extracellular matrix between young and senescent fibroblasts, we compared proteomic data (LTQ-FT) with cDNA microarray results. The peptide counts from the proteomics analysis were used to evaluate the level of ECM protein expression by young cells and senescent cells, and ECM protein expression data were compared with the microarray data. After completing the comparative analysis, we grouped the genes into four categories. Class I included genes with increased expression levels in both analyses, while class IV contained genes with reduced expression in both analyses. Class II and Class III contained genes with an inconsistent expression pattern. Finally, we validated the comparative analysis results by examining the expression level of the specific gene from each category using Western blot analysis and semiquantitative RT-PCR. Our results demonstrate that comparative analysis can be used to identify differentially expressed genes.

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“…However, in these experiments, exogenous genes were artificially inserted in the vicinity of telomeric repeats, in the absence of an intact adjacent subtelomeric region in between, what might have had a negative effect on transgene transcription (see also [10]). In fact, studies of TPE in human cells, in the presence of natural subtelomeric regions, failed to conclusively demonstrate a direct influence of telomeres on the activity of genes located in cis [11][12][13][14]. Furthermore, expression analysis of 34 natural telomeric genes (located 13 to 282 kb from the telomere) in young and senescent human fibroblasts showed that telomere length was not sufficient to determine the expression status of the nearby genes, and analysis of 8 tandem telomeric genes on 16 q (ranging from 170 to 640 kb from the telomere) revealed a discontinuous pattern of expression independent of telomere proximity and length [15].…”

Section: Introductionmentioning

confidence: 94%

Telomere-surrounding regions are transcription-permissive 3D nuclear compartments in human cells

Quina¹,

Parreira

2005

Experimental Cell Research

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Chromosome positional effects of gene expressions after cellular senescence

Cited by 10 publications

References 41 publications

Microarray analysis of senescent vascular smooth muscle cells: A link to atherosclerosis and vascular calcification

Microarray analysis of senescent vascular smooth muscle cells: A link to atherosclerosis and vascular calcification

Differential Expression of Extracellular Matrix Proteins in Senescent and Young Human Fibroblasts: a Comparative Proteomics and Microarray Study

Telomere-surrounding regions are transcription-permissive 3D nuclear compartments in human cells

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