TY - JOUR
T1 - EpiTyping
T2 - analysis of epigenetic aberrations in parental imprinting and X-chromosome inactivation using RNA-seq
AU - Sarel-Gallily, Roni
AU - Keshet, Gal
AU - Kinreich, Shay
AU - Haim-Abadi, Guy
AU - Benvenisty, Nissim
N1 - Publisher Copyright:
© 2023, Springer Nature Limited.
PY - 2023/12
Y1 - 2023/12
N2 - Human pluripotent stem cells (hPSCs) hold a central role in studying human development, in disease modeling and in regenerative medicine. These cells not only acquire genetic modifications when kept in culture, but they may also harbor epigenetic aberrations, mainly involving parental imprinting and X-chromosome inactivation. Here we present a detailed bioinformatic protocol for detecting such aberrations using RNA sequencing data. We provide a pipeline designed to process and analyze RNA sequencing data for the identification of abnormal biallelic expression of imprinted genes, and thus detect loss of imprinting. Furthermore, we show how to differentiate among X-chromosome inactivation, full activation and aberrant erosion of X chromosome in female hPSCs. In addition to providing bioinformatic tools, we discuss the impact of such epigenetic variations in hPSCs on their utility for various purposes. This pipeline can be used by any user with basic understanding of the Linux command line. It is available on GitHub as a software container (https://github.com/Gal-Keshet/EpiTyping) and produces reliable results in 1–4 d.
AB - Human pluripotent stem cells (hPSCs) hold a central role in studying human development, in disease modeling and in regenerative medicine. These cells not only acquire genetic modifications when kept in culture, but they may also harbor epigenetic aberrations, mainly involving parental imprinting and X-chromosome inactivation. Here we present a detailed bioinformatic protocol for detecting such aberrations using RNA sequencing data. We provide a pipeline designed to process and analyze RNA sequencing data for the identification of abnormal biallelic expression of imprinted genes, and thus detect loss of imprinting. Furthermore, we show how to differentiate among X-chromosome inactivation, full activation and aberrant erosion of X chromosome in female hPSCs. In addition to providing bioinformatic tools, we discuss the impact of such epigenetic variations in hPSCs on their utility for various purposes. This pipeline can be used by any user with basic understanding of the Linux command line. It is available on GitHub as a software container (https://github.com/Gal-Keshet/EpiTyping) and produces reliable results in 1–4 d.
UR - http://www.scopus.com/inward/record.url?scp=85175541973&partnerID=8YFLogxK
U2 - 10.1038/s41596-023-00898-5
DO - 10.1038/s41596-023-00898-5
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 37914783
AN - SCOPUS:85175541973
SN - 1754-2189
VL - 18
SP - 3881
EP - 3917
JO - Nature Protocols
JF - Nature Protocols
IS - 12
ER -