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Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands
Single-nucleotide variants (SNVs), pertinent to aging and disease, occur sporadically in the human genome, hence necessitating single-cell measurements. However, detection of single-cell SNVs suffers from false positives (FPs) due to intracellular single-stranded DNA damage and the process of whole-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923680/ https://www.ncbi.nlm.nih.gov/pubmed/33593904 http://dx.doi.org/10.1073/pnas.2013106118 |
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author | Xing, Dong Tan, Longzhi Chang, Chi-Han Li, Heng Xie, X. Sunney |
author_facet | Xing, Dong Tan, Longzhi Chang, Chi-Han Li, Heng Xie, X. Sunney |
author_sort | Xing, Dong |
collection | PubMed |
description | Single-nucleotide variants (SNVs), pertinent to aging and disease, occur sporadically in the human genome, hence necessitating single-cell measurements. However, detection of single-cell SNVs suffers from false positives (FPs) due to intracellular single-stranded DNA damage and the process of whole-genome amplification (WGA). Here, we report a single-cell WGA method termed multiplexed end-tagging amplification of complementary strands (META-CS), which eliminates nearly all FPs by virtue of DNA complementarity, and achieved the highest accuracy thus far. We validated META-CS by sequencing kindred cells and human sperm, and applied it to other human tissues. Investigation of mature single human neurons revealed increasing SNVs with age and potentially unrepaired strand-specific oxidative guanine damage. We determined SNV frequencies along the genome in differentiated single human blood cells, and identified cell type-dependent mutational patterns for major types of lymphocytes. |
format | Online Article Text |
id | pubmed-7923680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-79236802021-03-10 Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands Xing, Dong Tan, Longzhi Chang, Chi-Han Li, Heng Xie, X. Sunney Proc Natl Acad Sci U S A Biological Sciences Single-nucleotide variants (SNVs), pertinent to aging and disease, occur sporadically in the human genome, hence necessitating single-cell measurements. However, detection of single-cell SNVs suffers from false positives (FPs) due to intracellular single-stranded DNA damage and the process of whole-genome amplification (WGA). Here, we report a single-cell WGA method termed multiplexed end-tagging amplification of complementary strands (META-CS), which eliminates nearly all FPs by virtue of DNA complementarity, and achieved the highest accuracy thus far. We validated META-CS by sequencing kindred cells and human sperm, and applied it to other human tissues. Investigation of mature single human neurons revealed increasing SNVs with age and potentially unrepaired strand-specific oxidative guanine damage. We determined SNV frequencies along the genome in differentiated single human blood cells, and identified cell type-dependent mutational patterns for major types of lymphocytes. National Academy of Sciences 2021-02-23 2021-02-15 /pmc/articles/PMC7923680/ /pubmed/33593904 http://dx.doi.org/10.1073/pnas.2013106118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Xing, Dong Tan, Longzhi Chang, Chi-Han Li, Heng Xie, X. Sunney Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands |
title | Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands |
title_full | Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands |
title_fullStr | Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands |
title_full_unstemmed | Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands |
title_short | Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands |
title_sort | accurate snv detection in single cells by transposon-based whole-genome amplification of complementary strands |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923680/ https://www.ncbi.nlm.nih.gov/pubmed/33593904 http://dx.doi.org/10.1073/pnas.2013106118 |
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