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Series GSE121364 Query DataSets for GSE121364
Status Public on Aug 14, 2019
Title Ageing affects DNA methylation and transcriptional cell-to-cell variability in muscle stem cells [scRNA-seq]
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Age-related tissue alterations have been associated with a decline in stem cell number and function. Increased cell-to-cell variability in transcription or epigenetic marks has been proposed to be a major hallmark of ageing. Here, using parallel single-cell transcriptome and DNA methylome profiling, we find a global increase of uncoordinated transcriptional heterogeneity and context-dependent alterations of DNA methylation heterogeneity in ageing mouse muscle stem cells. Importantly, promoters with increased methylation heterogeneity are associated with increased transcriptional heterogeneity of the genes they drive. Notably, old cells diverging from young cells revealed alterations in the transcription of multiple extracellular matrix related genes. These findings show linked increases in heterogeneity between the epigenome and the transcriptome, with attendant degradation of coherent transcriptional networks and stem cell functional decline during ageing.
 
Overall design 5 young and 3 old mice.
 
Contributor(s) Hernando-Herraez I, Evano B, Stubbs T, Commere PH, Clark S, Tajbakhsh S, Reik W
Citation(s) 31554804
Submission date Oct 16, 2018
Last update date Oct 08, 2019
Contact name Felix Krueger
E-mail(s) fkrueger@altoslabs.com
Organization name Altos Labs
Department Bioinformatics
Street address Granta Park
City Cambridge
ZIP/Postal code CB21 6GP
Country United Kingdom
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (768)
GSM3432562 O1_TA_Hi_10 [scRNA-seq]
GSM3432563 O1_TA_Hi_11 [scRNA-seq]
GSM3432564 O1_TA_Hi_12 [scRNA-seq]
This SubSeries is part of SuperSeries:
GSE121437 Ageing affects DNA methylation and transcriptional cell-to-cell variability in muscle stem cells
Relations
BioProject PRJNA497128
SRA SRP165935

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Supplementary file Size Download File type/resource
GSE121364_Table_raw_counts_RNA_QSC.txt.gz 2.0 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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