Cargando…

Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing

Single-cell DNA sequencing (scDNA-seq) methods are powerful tools for profiling mutations in cancer cells; however, most genomic regions sequenced in single cells are non-informative. To overcome this issue, we developed a multi-patient-targeted (MPT) scDNA-seq method. MPT involves first performing...

Descripción completa

Detalles Bibliográficos
Autores principales: Leighton, Jake, Hu, Min, Sei, Emi, Meric-Bernstam, Funda, Navin, Nicholas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903705/
https://www.ncbi.nlm.nih.gov/pubmed/36777188
http://dx.doi.org/10.1016/j.xgen.2022.100215
_version_ 1784883514948190208
author Leighton, Jake
Hu, Min
Sei, Emi
Meric-Bernstam, Funda
Navin, Nicholas E.
author_facet Leighton, Jake
Hu, Min
Sei, Emi
Meric-Bernstam, Funda
Navin, Nicholas E.
author_sort Leighton, Jake
collection PubMed
description Single-cell DNA sequencing (scDNA-seq) methods are powerful tools for profiling mutations in cancer cells; however, most genomic regions sequenced in single cells are non-informative. To overcome this issue, we developed a multi-patient-targeted (MPT) scDNA-seq method. MPT involves first performing bulk exome sequencing across a cohort of cancer patients to identify somatic mutations, which are then pooled together to develop a single custom targeted panel for high-throughput scDNA-seq using a microfluidics platform. We applied MPT to profile 330 mutations across 23,500 cells from 5 patients with triple negative-breast cancer (TNBC), which showed that 3 tumors were monoclonal and 2 tumors were polyclonal. From these data, we reconstructed mutational lineages and identified early mutational and copy-number events, including early TP53 mutations that occurred in all five patients. Collectively, our data suggest that MPT can overcome a major technical obstacle for studying tumor evolution using scDNA-seq by profiling information-rich mutation sites.
format Online
Article
Text
id pubmed-9903705
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-99037052023-02-10 Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing Leighton, Jake Hu, Min Sei, Emi Meric-Bernstam, Funda Navin, Nicholas E. Cell Genom Technology Single-cell DNA sequencing (scDNA-seq) methods are powerful tools for profiling mutations in cancer cells; however, most genomic regions sequenced in single cells are non-informative. To overcome this issue, we developed a multi-patient-targeted (MPT) scDNA-seq method. MPT involves first performing bulk exome sequencing across a cohort of cancer patients to identify somatic mutations, which are then pooled together to develop a single custom targeted panel for high-throughput scDNA-seq using a microfluidics platform. We applied MPT to profile 330 mutations across 23,500 cells from 5 patients with triple negative-breast cancer (TNBC), which showed that 3 tumors were monoclonal and 2 tumors were polyclonal. From these data, we reconstructed mutational lineages and identified early mutational and copy-number events, including early TP53 mutations that occurred in all five patients. Collectively, our data suggest that MPT can overcome a major technical obstacle for studying tumor evolution using scDNA-seq by profiling information-rich mutation sites. Elsevier 2022-11-09 /pmc/articles/PMC9903705/ /pubmed/36777188 http://dx.doi.org/10.1016/j.xgen.2022.100215 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Technology
Leighton, Jake
Hu, Min
Sei, Emi
Meric-Bernstam, Funda
Navin, Nicholas E.
Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing
title Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing
title_full Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing
title_fullStr Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing
title_full_unstemmed Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing
title_short Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing
title_sort reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell dna sequencing
topic Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903705/
https://www.ncbi.nlm.nih.gov/pubmed/36777188
http://dx.doi.org/10.1016/j.xgen.2022.100215
work_keys_str_mv AT leightonjake reconstructingmutationallineagesinbreastcancerbymultipatienttargetedsinglecelldnasequencing
AT humin reconstructingmutationallineagesinbreastcancerbymultipatienttargetedsinglecelldnasequencing
AT seiemi reconstructingmutationallineagesinbreastcancerbymultipatienttargetedsinglecelldnasequencing
AT mericbernstamfunda reconstructingmutationallineagesinbreastcancerbymultipatienttargetedsinglecelldnasequencing
AT navinnicholase reconstructingmutationallineagesinbreastcancerbymultipatienttargetedsinglecelldnasequencing