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Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform

Next-generation sequencing (NGS) is used to detect gene variants in genetically complex cell populations of cancer patient samples. Traditional bulk analysis can only provide average variant allele frequencies of the targeted genes across all sampled cells. It fails to resolve mutational co-occurren...

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Autores principales: Xu, Liwen, Durruthy-Durruthy, Robert, Eastburn, Dennis J., Pellegrino, Maurizio, Shah, Omid, Meyer, Everett, Zehnder, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668401/
https://www.ncbi.nlm.nih.gov/pubmed/31366893
http://dx.doi.org/10.1038/s41598-019-47297-z
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author Xu, Liwen
Durruthy-Durruthy, Robert
Eastburn, Dennis J.
Pellegrino, Maurizio
Shah, Omid
Meyer, Everett
Zehnder, James
author_facet Xu, Liwen
Durruthy-Durruthy, Robert
Eastburn, Dennis J.
Pellegrino, Maurizio
Shah, Omid
Meyer, Everett
Zehnder, James
author_sort Xu, Liwen
collection PubMed
description Next-generation sequencing (NGS) is used to detect gene variants in genetically complex cell populations of cancer patient samples. Traditional bulk analysis can only provide average variant allele frequencies of the targeted genes across all sampled cells. It fails to resolve mutational co-occurrences and may miss rare cancer cells. Genome analysis at the single cell level offers the opportunity to more fully resolve clonal architecture. Peripheral blood mononuclear cells were sampled from acute myeloid leukemia patients longitudinally and single-cell DNA sequencing libraries were generated with a novel droplet-based microfluidics approach. Molecular profiling of single nucleotide variants across thousands of cells revealed genetic chimerism in patients after bone marrow transplantation (BMT). Importantly, hierarchical clustering analysis of single nucleotide variants (SNVs) uncovered a distinct oncogenic clone of cells carrying mutated tumor-suppressor and/or oncogene(s). This novel single-cell DNA sequencing approach enabled precise monitoring of engraftment and revealed clonal evolution of oncogenic cells during the progression and treatment of the disease.
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spelling pubmed-66684012019-08-06 Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform Xu, Liwen Durruthy-Durruthy, Robert Eastburn, Dennis J. Pellegrino, Maurizio Shah, Omid Meyer, Everett Zehnder, James Sci Rep Article Next-generation sequencing (NGS) is used to detect gene variants in genetically complex cell populations of cancer patient samples. Traditional bulk analysis can only provide average variant allele frequencies of the targeted genes across all sampled cells. It fails to resolve mutational co-occurrences and may miss rare cancer cells. Genome analysis at the single cell level offers the opportunity to more fully resolve clonal architecture. Peripheral blood mononuclear cells were sampled from acute myeloid leukemia patients longitudinally and single-cell DNA sequencing libraries were generated with a novel droplet-based microfluidics approach. Molecular profiling of single nucleotide variants across thousands of cells revealed genetic chimerism in patients after bone marrow transplantation (BMT). Importantly, hierarchical clustering analysis of single nucleotide variants (SNVs) uncovered a distinct oncogenic clone of cells carrying mutated tumor-suppressor and/or oncogene(s). This novel single-cell DNA sequencing approach enabled precise monitoring of engraftment and revealed clonal evolution of oncogenic cells during the progression and treatment of the disease. Nature Publishing Group UK 2019-07-31 /pmc/articles/PMC6668401/ /pubmed/31366893 http://dx.doi.org/10.1038/s41598-019-47297-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xu, Liwen
Durruthy-Durruthy, Robert
Eastburn, Dennis J.
Pellegrino, Maurizio
Shah, Omid
Meyer, Everett
Zehnder, James
Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform
title Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform
title_full Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform
title_fullStr Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform
title_full_unstemmed Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform
title_short Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform
title_sort clonal evolution and changes in two aml patients detected with a novel single-cell dna sequencing platform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668401/
https://www.ncbi.nlm.nih.gov/pubmed/31366893
http://dx.doi.org/10.1038/s41598-019-47297-z
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