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Title: RNA-seq of coding RNA from single cells to assess the impact of aging on cell-to-cell transcriptional variability during immune stimulation      
dateReleased:
07-21-2016
description:
We explored how aging impacts transcriptional dynamics using single-cell RNA-sequencing to profile hundreds of CD4+ T cells from young and old mice from two divergent species. In young animals, immunological challenge drives a conserved transcriptomic switch from highly variable to tightly regulated gene expression, characterized by a strong up-regulation of a core activation program, coupled with a decrease in cell-to-cell variability. Aging significantly perturbed the activation of this core program, and increased expression heterogeneity across the population of cells in both species.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-MTAB-4888
refinement:
raw
dateSubmitted:
06-16-2016
keywords:
functional genomics
dateModified:
02-13-2017
creators:
Nils Eling
availability:
available
types:
gene expression
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-MTAB-4888/E-MTAB-4888.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-MTAB-4888/E-MTAB-4888.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

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