Enabling multiplexed testing of pooled donor cells through whole-genome sequencing
Author(s)Chan, Yingleong; Chan, Ying K; Guo, Xiaoge; Chavez, Alejandro; Lim, Elaine T; Church, George M; Chan, Ying Kai; Goodman, Daniel B.; Lim, Elaine T.; Church, George M.; Goodman, Daniel Bryan; ... Show more Show less
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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.
DepartmentInstitute for Medical Engineering and Science; Harvard University--MIT Division of Health Sciences and Technology
BioMed Central Ltd
Chan, Yingleong et al. "Enabling multiplexed testing of pooled donor cells through whole-genome sequencing." Genome Medicine 10 (April 2018): 31 © 2018 The Author(s)
Final published version