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

Uri Weissbein, Maya Schachter, Dieter Egli and Nissim Benvenisty ()
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Uri Weissbein: The Azrieli Center for Stem Cells and Genetic Research, Silberman Institute of Life Sciences, The Hebrew University
Maya Schachter: The Azrieli Center for Stem Cells and Genetic Research, Silberman Institute of Life Sciences, The Hebrew University
Dieter Egli: The New York Stem Cell Foundation Research Institute
Nissim Benvenisty: The Azrieli Center for Stem Cells and Genetic Research, Silberman Institute of Life Sciences, The Hebrew University

Nature Communications, 2016, vol. 7, issue 1, 1-8

Abstract: 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 matched diploid samples for comparison, is less sensitive to global expression changes caused by the aberration and utilizes already available gene expression profiles to determine chromosomal aberrations.

Date: 2016
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DOI: 10.1038/ncomms12144

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