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Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells
A potential cause of cancer relapse is pretreatment chemoresistant subpopulations. Identifying targetable features of subpopulations that are poorly primed for therapy-induced cell death may improve cancer therapy. Here, we develop and validate real-time BH3 profiling, a live and functional single-c...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289660/ https://www.ncbi.nlm.nih.gov/pubmed/37352344 http://dx.doi.org/10.1126/sciadv.adg4128 |
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author | Lecky, Emmalyn Mukherji, Atreyi German, Rebecca Antonellis, Gabriella Lin, Jia-Ren Yorsz, Michael McQueeney, Kelley E. Ryan, Jeremy Ng, Kimmie Sicinska, Ewa Sorger, Peter K. Letai, Anthony Bhola, Patrick D. |
author_facet | Lecky, Emmalyn Mukherji, Atreyi German, Rebecca Antonellis, Gabriella Lin, Jia-Ren Yorsz, Michael McQueeney, Kelley E. Ryan, Jeremy Ng, Kimmie Sicinska, Ewa Sorger, Peter K. Letai, Anthony Bhola, Patrick D. |
author_sort | Lecky, Emmalyn |
collection | PubMed |
description | A potential cause of cancer relapse is pretreatment chemoresistant subpopulations. Identifying targetable features of subpopulations that are poorly primed for therapy-induced cell death may improve cancer therapy. Here, we develop and validate real-time BH3 profiling, a live and functional single-cell measurement of pretreatment apoptotic sensitivity that occurs upstream of apoptotic protease activation. On the same single cells, we perform cyclic immunofluorescence, which enables multiplexed immunofluorescence of more than 30 proteins on the same cell. Using cultured cells and rapid ex vivo cultures of colon cancer patient-derived xenograft (PDX) models, we identify Bak as a univariate correlate of apoptotic priming, find that poorly primed subpopulations can correspond to specific stages of the cell cycle, and, in some PDX models, identify increased expression of Bcl-XL, Mcl-1, or Her2 in subpopulations that are poorly primed for apoptosis. Last, we generate and validate mathematical models of single-cell priming that describe how targetable proteins contribute to apoptotic priming. |
format | Online Article Text |
id | pubmed-10289660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-102896602023-06-24 Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells Lecky, Emmalyn Mukherji, Atreyi German, Rebecca Antonellis, Gabriella Lin, Jia-Ren Yorsz, Michael McQueeney, Kelley E. Ryan, Jeremy Ng, Kimmie Sicinska, Ewa Sorger, Peter K. Letai, Anthony Bhola, Patrick D. Sci Adv Biomedicine and Life Sciences A potential cause of cancer relapse is pretreatment chemoresistant subpopulations. Identifying targetable features of subpopulations that are poorly primed for therapy-induced cell death may improve cancer therapy. Here, we develop and validate real-time BH3 profiling, a live and functional single-cell measurement of pretreatment apoptotic sensitivity that occurs upstream of apoptotic protease activation. On the same single cells, we perform cyclic immunofluorescence, which enables multiplexed immunofluorescence of more than 30 proteins on the same cell. Using cultured cells and rapid ex vivo cultures of colon cancer patient-derived xenograft (PDX) models, we identify Bak as a univariate correlate of apoptotic priming, find that poorly primed subpopulations can correspond to specific stages of the cell cycle, and, in some PDX models, identify increased expression of Bcl-XL, Mcl-1, or Her2 in subpopulations that are poorly primed for apoptosis. Last, we generate and validate mathematical models of single-cell priming that describe how targetable proteins contribute to apoptotic priming. American Association for the Advancement of Science 2023-06-23 /pmc/articles/PMC10289660/ /pubmed/37352344 http://dx.doi.org/10.1126/sciadv.adg4128 Text en Copyright © 2023 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 Lecky, Emmalyn Mukherji, Atreyi German, Rebecca Antonellis, Gabriella Lin, Jia-Ren Yorsz, Michael McQueeney, Kelley E. Ryan, Jeremy Ng, Kimmie Sicinska, Ewa Sorger, Peter K. Letai, Anthony Bhola, Patrick D. Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells |
title | Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells |
title_full | Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells |
title_fullStr | Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells |
title_full_unstemmed | Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells |
title_short | Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells |
title_sort | sequential apoptotic and multiplexed proteomic evaluation of single cancer cells |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289660/ https://www.ncbi.nlm.nih.gov/pubmed/37352344 http://dx.doi.org/10.1126/sciadv.adg4128 |
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