Cargando…
Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing
Postzygotic somatic mutations have been found associated with human disease, including diseases other than cancer. Most information on somatic mutations has come from studying clonally amplified mutant cells, based on a growth advantage or genetic drift. However, almost all somatic mutations are uni...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993124/ https://www.ncbi.nlm.nih.gov/pubmed/35394831 http://dx.doi.org/10.1126/sciadv.abm3259 |
_version_ | 1784683850256875520 |
---|---|
author | Maslov, Alexander Y. Makhortov, Sergey Sun, Shixiang Heid, Johanna Dong, Xiao Lee, Moonsook Vijg, Jan |
author_facet | Maslov, Alexander Y. Makhortov, Sergey Sun, Shixiang Heid, Johanna Dong, Xiao Lee, Moonsook Vijg, Jan |
author_sort | Maslov, Alexander Y. |
collection | PubMed |
description | Postzygotic somatic mutations have been found associated with human disease, including diseases other than cancer. Most information on somatic mutations has come from studying clonally amplified mutant cells, based on a growth advantage or genetic drift. However, almost all somatic mutations are unique for each cell, and the quantitative analysis of these low-abundance mutations in normal tissues remains a major challenge in biology. Here, we introduce single-molecule mutation sequencing (SMM-seq), a novel approach for quantitative identification of point mutations in normal cells and tissues. |
format | Online Article Text |
id | pubmed-8993124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-89931242022-04-22 Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing Maslov, Alexander Y. Makhortov, Sergey Sun, Shixiang Heid, Johanna Dong, Xiao Lee, Moonsook Vijg, Jan Sci Adv Biomedicine and Life Sciences Postzygotic somatic mutations have been found associated with human disease, including diseases other than cancer. Most information on somatic mutations has come from studying clonally amplified mutant cells, based on a growth advantage or genetic drift. However, almost all somatic mutations are unique for each cell, and the quantitative analysis of these low-abundance mutations in normal tissues remains a major challenge in biology. Here, we introduce single-molecule mutation sequencing (SMM-seq), a novel approach for quantitative identification of point mutations in normal cells and tissues. American Association for the Advancement of Science 2022-04-08 /pmc/articles/PMC8993124/ /pubmed/35394831 http://dx.doi.org/10.1126/sciadv.abm3259 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Maslov, Alexander Y. Makhortov, Sergey Sun, Shixiang Heid, Johanna Dong, Xiao Lee, Moonsook Vijg, Jan Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing |
title | Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing |
title_full | Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing |
title_fullStr | Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing |
title_full_unstemmed | Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing |
title_short | Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing |
title_sort | single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993124/ https://www.ncbi.nlm.nih.gov/pubmed/35394831 http://dx.doi.org/10.1126/sciadv.abm3259 |
work_keys_str_mv | AT maslovalexandery singlemoleculequantitativedetectionoflowabundancesomaticmutationsbyhighthroughputsequencing AT makhortovsergey singlemoleculequantitativedetectionoflowabundancesomaticmutationsbyhighthroughputsequencing AT sunshixiang singlemoleculequantitativedetectionoflowabundancesomaticmutationsbyhighthroughputsequencing AT heidjohanna singlemoleculequantitativedetectionoflowabundancesomaticmutationsbyhighthroughputsequencing AT dongxiao singlemoleculequantitativedetectionoflowabundancesomaticmutationsbyhighthroughputsequencing AT leemoonsook singlemoleculequantitativedetectionoflowabundancesomaticmutationsbyhighthroughputsequencing AT vijgjan singlemoleculequantitativedetectionoflowabundancesomaticmutationsbyhighthroughputsequencing |