TY - JOUR
T1 - All2
T2 - A tool for selecting mosaic mutations from comprehensive multi-cell comparisons
AU - Sarangi, Vivekananda
AU - Jang, Yeongjun
AU - Suvakov, Milovan
AU - Bae, Taejeong
AU - Fasching, Liana
AU - Sekar, Shobana
AU - Tomasini, Livia
AU - Mariani, Jessica
AU - Vaccarino, Flora M.
AU - Abyzov, Alexej
N1 - Funding Information:
Funding:ThisstudywasfundedbytheFoundation fortheNationalInstitutesofHealth(NIH),grant number:R01MH100914,https://reporter.nih.gov/
Funding Information:
This study was funded by the Foundation for the National Institutes of Health (NIH), grant number: R01MH100914, https://reporter.nih.gov/ search/Ub0-VCBSJU6lgHtJvKaVzw/projects, and grant number: U01MH106876 https://reporter.nih. gov/search/ZjYDGhfGaUeFFWxyY3HrYw/projects to FV. AA received funding from the Division of Cancer Epidemiology and Genetics, National Cancer Institute, grant number U24CA220242, https://reporter.nih.gov/search/ mJbqYiI0PUmr4Y9x0E72Kw/projects FV and AA were both funded by the Simons Foundation, grant number 399558, https://www.simonsfoundation. org/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
Copyright: © 2022 Sarangi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2022/4
Y1 - 2022/4
N2 - Accurate discovery of somatic mutations in a cell is a challenge that partially lays in immaturity of dedicated analytical approaches. Approaches comparing a cell’s genome to a control bulk sample miss common mutations, while approaches to find such mutations from bulk suffer from low sensitivity. We developed a tool, All2, which enables accurate filtering of mutations in a cell without the need for data from bulk(s). It is based on pair-wise comparisons of all cells to each other where every call for base pair substitution and indel is classified as either a germline variant, mosaic mutation, or false positive. As All2 allows for considering dropped-out regions, it is applicable to whole genome and exome analysis of cloned and amplified cells. By applying the approach to a variety of available data, we showed that its application reduces false positives, enables sensitive discovery of high frequency mutations, and is indispensable for conducting high resolution cell lineage tracing.
AB - Accurate discovery of somatic mutations in a cell is a challenge that partially lays in immaturity of dedicated analytical approaches. Approaches comparing a cell’s genome to a control bulk sample miss common mutations, while approaches to find such mutations from bulk suffer from low sensitivity. We developed a tool, All2, which enables accurate filtering of mutations in a cell without the need for data from bulk(s). It is based on pair-wise comparisons of all cells to each other where every call for base pair substitution and indel is classified as either a germline variant, mosaic mutation, or false positive. As All2 allows for considering dropped-out regions, it is applicable to whole genome and exome analysis of cloned and amplified cells. By applying the approach to a variety of available data, we showed that its application reduces false positives, enables sensitive discovery of high frequency mutations, and is indispensable for conducting high resolution cell lineage tracing.
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U2 - 10.1371/journal.pcbi.1009487
DO - 10.1371/journal.pcbi.1009487
M3 - Article
C2 - 35442945
AN - SCOPUS:85129649249
SN - 1553-734X
VL - 18
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 4
M1 - e1009487
ER -