Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Analysis of chromosomal aberrations and recombination by allelic bias in RNA-Seq


ABSTRACT: Genomic instability has profound effects on cellular phenotypes. Studies have shown that pluripotent cells with abnormal karyotypes may grow faster, differentiate less and become more resistance to apoptosis. Previously, we showed that microarray gene expression profiles can be utilized for the analysis of chromosomal aberrations by comparing gene expression levels between normal and aneuploid samples. Here we adopted this method for RNA-Seq data and present eSNP-Karyotyping for the detection of chromosomal aberrations, based on measuring the ratio of expression between the two alleles. We demonstrate its ability to detect chromosomal gains and losses in pluripotent cells and their derivatives, as well as meiotic recombination patterns. This method is advantageous since it does not require

ORGANISM(S): Homo sapiens

SUBMITTER: Uri Weissbein 

PROVIDER: E-GEOD-81402 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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