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Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses

Cellular heterogeneity is a major cause of treatment resistance in cancer. Despite recent advances in single-cell genomic and transcriptomic sequencing, it remains difficult to relate measured molecular profiles to the cellular activities underlying cancer. Here, we present an integrated experimenta...

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Autores principales: Contreras-Trujillo, Humberto, Eerdeng, Jiya, Akre, Samir, Jiang, Du, Contreras, Jorge, Gala, Basia, Vergel-Rodriguez, Mary C., Lee, Yeachan, Jorapur, Aparna, Andreasian, Areen, Harton, Lisa, Bramlett, Charles S., Nogalska, Anna, Xiao, Gang, Lee, Jae-Woong, Chan, Lai N., Müschen, Markus, Merchant, Akil A., Lu, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586369/
https://www.ncbi.nlm.nih.gov/pubmed/34764253
http://dx.doi.org/10.1038/s41467-021-26771-1
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author Contreras-Trujillo, Humberto
Eerdeng, Jiya
Akre, Samir
Jiang, Du
Contreras, Jorge
Gala, Basia
Vergel-Rodriguez, Mary C.
Lee, Yeachan
Jorapur, Aparna
Andreasian, Areen
Harton, Lisa
Bramlett, Charles S.
Nogalska, Anna
Xiao, Gang
Lee, Jae-Woong
Chan, Lai N.
Müschen, Markus
Merchant, Akil A.
Lu, Rong
author_facet Contreras-Trujillo, Humberto
Eerdeng, Jiya
Akre, Samir
Jiang, Du
Contreras, Jorge
Gala, Basia
Vergel-Rodriguez, Mary C.
Lee, Yeachan
Jorapur, Aparna
Andreasian, Areen
Harton, Lisa
Bramlett, Charles S.
Nogalska, Anna
Xiao, Gang
Lee, Jae-Woong
Chan, Lai N.
Müschen, Markus
Merchant, Akil A.
Lu, Rong
author_sort Contreras-Trujillo, Humberto
collection PubMed
description Cellular heterogeneity is a major cause of treatment resistance in cancer. Despite recent advances in single-cell genomic and transcriptomic sequencing, it remains difficult to relate measured molecular profiles to the cellular activities underlying cancer. Here, we present an integrated experimental system that connects single cell gene expression to heterogeneous cancer cell growth, metastasis, and treatment response. Our system integrates single cell transcriptome profiling with DNA barcode based clonal tracking in patient-derived xenograft models. We show that leukemia cells exhibiting unique gene expression respond to different chemotherapies in distinct but consistent manners across multiple mice. In addition, we uncover a form of leukemia expansion that is spatially confined to the bone marrow of single anatomical sites and driven by cells with distinct gene expression. Our integrated experimental system can interrogate the molecular and cellular basis of the intratumoral heterogeneity underlying disease progression and treatment resistance.
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spelling pubmed-85863692021-11-15 Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses Contreras-Trujillo, Humberto Eerdeng, Jiya Akre, Samir Jiang, Du Contreras, Jorge Gala, Basia Vergel-Rodriguez, Mary C. Lee, Yeachan Jorapur, Aparna Andreasian, Areen Harton, Lisa Bramlett, Charles S. Nogalska, Anna Xiao, Gang Lee, Jae-Woong Chan, Lai N. Müschen, Markus Merchant, Akil A. Lu, Rong Nat Commun Article Cellular heterogeneity is a major cause of treatment resistance in cancer. Despite recent advances in single-cell genomic and transcriptomic sequencing, it remains difficult to relate measured molecular profiles to the cellular activities underlying cancer. Here, we present an integrated experimental system that connects single cell gene expression to heterogeneous cancer cell growth, metastasis, and treatment response. Our system integrates single cell transcriptome profiling with DNA barcode based clonal tracking in patient-derived xenograft models. We show that leukemia cells exhibiting unique gene expression respond to different chemotherapies in distinct but consistent manners across multiple mice. In addition, we uncover a form of leukemia expansion that is spatially confined to the bone marrow of single anatomical sites and driven by cells with distinct gene expression. Our integrated experimental system can interrogate the molecular and cellular basis of the intratumoral heterogeneity underlying disease progression and treatment resistance. Nature Publishing Group UK 2021-11-11 /pmc/articles/PMC8586369/ /pubmed/34764253 http://dx.doi.org/10.1038/s41467-021-26771-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Contreras-Trujillo, Humberto
Eerdeng, Jiya
Akre, Samir
Jiang, Du
Contreras, Jorge
Gala, Basia
Vergel-Rodriguez, Mary C.
Lee, Yeachan
Jorapur, Aparna
Andreasian, Areen
Harton, Lisa
Bramlett, Charles S.
Nogalska, Anna
Xiao, Gang
Lee, Jae-Woong
Chan, Lai N.
Müschen, Markus
Merchant, Akil A.
Lu, Rong
Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses
title Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses
title_full Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses
title_fullStr Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses
title_full_unstemmed Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses
title_short Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses
title_sort deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586369/
https://www.ncbi.nlm.nih.gov/pubmed/34764253
http://dx.doi.org/10.1038/s41467-021-26771-1
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