GSM7040672[Accession] - GEO DataSets

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Items: 4

Select item 2002251731.

Predicting age in single cells and low coverage DNA methylation data

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Mus musculus

Type:: Methylation profiling by high throughput sequencing; Expression profiling by high throughput sequencing

Platforms:: GPL21103 GPL17021
250 Samples

Download data: COV, TAR

Series

Accession:: GSE225173

ID:: 200225173

Select item 2002251662.

Predicting age in single cells and low coverage DNA methylation data [RRBS]

(Submitter supplied) Ageing is the accumulation of changes and overall decline of the function of cells, organs and organisms over time. At the molecular and cellular level, the concept of biological age has been established and novel biomarkers of biological age have been identified, notably epigenetic DNA-methylation based clocks. With the emergence of single-cell DNA methylation profiling methods, the possibility to study biological age of individual cells has been proposed, and a first proof-of-concept study, based on limited single cell datasets mostly from early developmental origin, indicated the feasibility and relevance of this approach to better understand organismal changes and cellular ageing heterogeneity. more...