Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Cellular aging can be monitored by DNA-methylation changes at specific CpG sites

ABSTRACT: Long-term culture associated changes need to be considered for quality control of cell preparations – especially in cellular therapy. Here we describe a simple method to track cellular aging based on continuous DNA-methylation changes at six specific CpG sites. This epigenetic signature can be used as a biomarker for various cell types to predict the state of cellular aging with regard to the number of passages or days of in vitro culture. 8 samples of human dermal fibroblasts. 4 samples of mesenchymal stem cells (MSC) from human adipose tissue.

ORGANISM(S): Homo sapiens

SUBMITTER: Wolfgang Wagner

PROVIDER: E-GEOD-29661 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Monitoring of cellular senescence by DNA-methylation at specific CpG sites.

Koch Carmen M CM Joussen Sylvia S Schellenberg Anne A Lin Qiong Q Zenke Martin M Wagner Wolfgang W

Aging cell 20120119 2

Replicative senescence has fundamental implications on cell morphology, proliferation, and differentiation potential. Here, we describe a simple method to track long-term culture based on continuous DNA-methylation changes at six specific CpG sites. This epigenetic senescence signature can be used as biomarker for various cell types to predict the state of cellular senescence with regard to the number of passages, population doublings, or days of in vitro culture. ...[more]

PMID: 22221451

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Project description:A fundamental challenge in the post-genome era is to understand and annotate the consequences of genetic variation, particularly within the context of human tissues. We describe a set of integrated experiments designed to investigate the effects of common genetic variability on DNA methylation, mRNA expression and microRNA (miRNA) expression in four distinct human brain regions. We show that brain tissues may be readily distinguished based on methylation status or expression profile. We find an abundance of genetic cis regulation mRNA expression and show for the first time abundant quantitative trait loci for DNA CpG methylation. We observe that the largest magnitude effects occur across distinct brain regions. We believe these data, which we have made publicly available, will be useful in understanding the biological effects of genetic variation. Authorized Access data: Mapping of GEO sample accessions to dbGaP subject/sample IDs is available through dbGaP Authorized Access, see http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000249.v1.p1 Because of our interest in genomic regulation of expression and neurological disorders we embarked upon a series of experiments to provide a brain region-specific contextual framework for genetic and epigenetic regulation of gene expression. We obtained frozen brain tissue from the cerebellum, frontal cortex, pons and temporal cortex from 150 subjects (total 600 tissue samples). We undertook four separate assays across this series; first, genome-wide SNP genotyping; second, assay of >27,000 CpG methylation sites in each of the four brain regions; third, mRNA expression profiling of >22,000 transcripts in all four brain regions; and, fourth, miRNA expression profiling of 735 miRNA transcripts. Here we discuss the results of these experiments, particularly in the context of integrated datasets to define expression and CpG methylation quantitative trait loci (eQTL and methQTL) and detailing differences and similarities across brain regions.

Dataset Information

Cellular aging can be monitored by DNA-methylation changes at specific CpG sites

Publications

Monitoring of cellular senescence by DNA-methylation at specific CpG sites.

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