Recurrent transcriptional clusters in the genome of mouse pluripotent stem cells.

ABSTRACT: A number of studies have shown that transcriptome analysis in terms of chromosomal location can reveal regions of non-random transcriptional activity within the genome. Genomic clusters of differentially expressed genes can identify genomic patterns of structural organization, underlying copy number variations or long-range epigenetic regulation such as X-chromosome inactivation. Here we apply an integrative bioinformatics analysis to a collection of 315 freely available mouse pluripotent stem cell samples to discover transcriptional clusters in the genome. We show that over half of the analysed samples (56.83%) carry whole or partial-chromosome spanning clusters which recur in genomic regions previously implicated in chromosomal imbalances. Strikingly, we found that the presence of such l

SUBMITTER: Skylaki S 

PROVIDER: S-EPMC3479167 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature