Enabling multiplexed testing of pooled donor cells through whole-genome sequencing

Abstract We describe a method that enables the multiplex screening of a pool of many different donor cell lines. Our method accurately predicts each donor proportion from the pool without requiring the use of unique DNA barcodes as markers of donor identity. Instead, we take advantage of common sing...

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Bibliographic Details
Main Authors: Yingleong Chan, Ying Kai Chan, Daniel B. Goodman, Xiaoge Guo, Alejandro Chavez, Elaine T. Lim, George M. Church
Format: Article
Language:English
Published: BMC 2018-04-01
Series:Genome Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13073-018-0541-6
Description
Summary:Abstract We describe a method that enables the multiplex screening of a pool of many different donor cell lines. Our method accurately predicts each donor proportion from the pool without requiring the use of unique DNA barcodes as markers of donor identity. Instead, we take advantage of common single nucleotide polymorphisms, whole-genome sequencing, and an algorithm to calculate the proportions from the sequencing data. By testing using simulated and real data, we showed that our method robustly predicts the individual proportions from a mixed-pool of numerous donors, thus enabling the multiplexed testing of diverse donor cells en masse. More information is available at https://pgpresearch.med.harvard.edu/poolseq/
ISSN:1756-994X