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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9060341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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