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Title: Study of gene expression of peripheral blood T lymphocytes from age-series of monozygotic twin couples      
dateReleased:
06-30-2016
description:
In this study we analyse a gene expression dataset, obtained by microarray hybridization, consisting of T lymphocytes from 27 healthy monozygotic twin couples with ages ranging over whole adult lifespan (22 to 98 years). This peculiar experimental design, combined with a ridge regression approach, allowed us to define an optimal low-dimensional gene expression signature from which chronological age can be estimated. Our work identified for the first time a group of 125 genes whose expression can be considered a signature of physiologic T cell aging. This signature has been further validated in another dataset of samples of the same cell type, but hybridized over a different platform, showing a significantly good performance that confirmed the power of the chosen analysis design. Moreover, the same signature was applied on a publicly available dataset with an analogous time series design, but hybridized on a different platform and consisting of a different cell type (human muscle cells). The lower regression performance obtained in this case indicates that the signature is cell-type specific. 27 couples of monozygotic twins (54 subjects in total, homogeneously distributed in an age span from 22 to 98 years) were analysed.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-74937
refinement:
raw
alternateIdentifiers:
74937
keywords:
functional genomics
dateModified:
07-01-2016
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-GEOD-6248
name:
GE Healthcare CodeLink Human Whole Genome Bioarray
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-74937/E-GEOD-74937.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-GEOD-74937/E-GEOD-74937.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE74937
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
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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