Large-Scale Analysis of Loss of Imprinting in Human Pluripotent Stem Cells.

The parent-specific monoallelic expression of imprinted genes is controlled by DNA methylation marks that are established differentially in the germline. Perturbation of these marks leads to loss of imprinting (LOI), which is associated with developmental disorders and malignancy and may also obstruct applications of human pluripotent stem cells (hPSCs). Previous studies of LOI in hPSCs were performed on relatively small numbers of cell lines, often leading to conflicting conclusions regarding imprinting stability. Here, we chart the landscape of LOI in hPSCs by applying a large-scale analysis of allele-specific RNA-seq data from more than 270 hPSC samples. We show that reprogrammed hPSCs acquire higher levels of LOI compared with embryonic stem cells and that LOI can pre-exist in their somatic cells of origin. Furthermore, different imprinted genes vary with respect to LOI incidence, surprisingly revealing that those controlled paternally are more prone to disruption. Our findings emphasize the importance of inspecting the imprinting status of hPSCs.

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

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.