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All(2): A tool for selecting mosaic mutations from comprehensive multi-cell comparisons

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. W...

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Autores principales: Sarangi, Vivekananda, Jang, Yeongjun, Suvakov, Milovan, Bae, Taejeong, Fasching, Liana, Sekar, Shobana, Tomasini, Livia, Mariani, Jessica, Vaccarino, Flora M., Abyzov, Alexej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060341/
https://www.ncbi.nlm.nih.gov/pubmed/35442945
http://dx.doi.org/10.1371/journal.pcbi.1009487
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author Sarangi, Vivekananda
Jang, Yeongjun
Suvakov, Milovan
Bae, Taejeong
Fasching, Liana
Sekar, Shobana
Tomasini, Livia
Mariani, Jessica
Vaccarino, Flora M.
Abyzov, Alexej
author_facet Sarangi, Vivekananda
Jang, Yeongjun
Suvakov, Milovan
Bae, Taejeong
Fasching, Liana
Sekar, Shobana
Tomasini, Livia
Mariani, Jessica
Vaccarino, Flora M.
Abyzov, Alexej
author_sort Sarangi, Vivekananda
collection PubMed
description 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, All(2), 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 All(2) 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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spelling pubmed-90603412022-05-03 All(2): A tool for selecting mosaic mutations from comprehensive multi-cell comparisons Sarangi, Vivekananda Jang, Yeongjun Suvakov, Milovan Bae, Taejeong Fasching, Liana Sekar, Shobana Tomasini, Livia Mariani, Jessica Vaccarino, Flora M. Abyzov, Alexej PLoS Comput Biol Research Article 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, All(2), 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 All(2) 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. Public Library of Science 2022-04-20 /pmc/articles/PMC9060341/ /pubmed/35442945 http://dx.doi.org/10.1371/journal.pcbi.1009487 Text en © 2022 Sarangi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sarangi, Vivekananda
Jang, Yeongjun
Suvakov, Milovan
Bae, Taejeong
Fasching, Liana
Sekar, Shobana
Tomasini, Livia
Mariani, Jessica
Vaccarino, Flora M.
Abyzov, Alexej
All(2): A tool for selecting mosaic mutations from comprehensive multi-cell comparisons
title All(2): A tool for selecting mosaic mutations from comprehensive multi-cell comparisons
title_full All(2): A tool for selecting mosaic mutations from comprehensive multi-cell comparisons
title_fullStr All(2): A tool for selecting mosaic mutations from comprehensive multi-cell comparisons
title_full_unstemmed All(2): A tool for selecting mosaic mutations from comprehensive multi-cell comparisons
title_short All(2): A tool for selecting mosaic mutations from comprehensive multi-cell comparisons
title_sort all(2): a tool for selecting mosaic mutations from comprehensive multi-cell comparisons
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060341/
https://www.ncbi.nlm.nih.gov/pubmed/35442945
http://dx.doi.org/10.1371/journal.pcbi.1009487
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