SeqVerify: A New Easily Accessible Tool for Comprehensive Cell Line Quality Assessment – The Stem Cell Report
Previous NextDuring the last decade, advances in genome editing and pluripotent stem cell (PSC) culture have let researchers generate edited PSC lines to study a wide variety of biological questions. However, abnormalities in cell lines such as aneuploidy, mutations, on-target and off-target editing errors, and microbial contamination can arise during PSC culture or due to undesired editing outcomes. To ensure valid experimental results and the safety of PSC-derived therapeutics, it is important to detect these abnormalities and choose PSC lines without them. Existing quality control methods typically focus on detecting one type of abnormality. Whole genome sequencing is an all-in-one detection method for any abnormality involving changes to DNA sequences but until now it has required considerable computational expertise. Today’s guests will discuss a new computational tool, SeqVerify, that analyzes short-read WGS data for quality control of wild-type or edited PSCs. The platform provides an end-to-end analysis framework that can be a valuable quality control method for researchers working with PSCs, and more broadly, for cell line quality control in general.
Wyss Core Faculty member George Church and a former graduate student from his lab, Merrick Pierson Smela, are guests on the episode.
The podcast is hosted by Martin Pera, Editor-in-Chief, Stem Cell Reports and The Jackson Laboratory.