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

Chan, Yingleong; Chan, Ying K.; Goodman, Daniel B.; Guo, Xiaoge; Chavez, Alejandro; Lim, Elaine T.; Church, George M.

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/

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Also Published In

Title
Genome Medicine
DOI
https://doi.org/10.1186/s13073-018-0541-6

More About This Work

Academic Units
Pathology and Cell Biology
Published Here
April 24, 2018

Notes

Multiplexed testing, Barcode free method, Single nucleotide polymorphisms, Expectation maximization algorithm, Next-generation sequencing, Personal Genome Project