Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell

Single-cell analysis of phenotypic plasticity could improve the development of more effective therapeutics. Still, the development of tools to measure single-cell heterogeneity has lagged due to difficulties in manipulating and culturing single cells. Here, we describe a single-cell culture and phen...

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Main Authors: Zhun Lin, Siping Liang, Zhe Pu, Zhengyu Zou, Luxuan He, Christopher J. Lyon, Yuanqing Zhang, Tony Y. Hu, Minhao Wu
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Acta Pharmaceutica Sinica B
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Online Access:http://www.sciencedirect.com/science/article/pii/S2211383525001340
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author Zhun Lin
Siping Liang
Zhe Pu
Zhengyu Zou
Luxuan He
Christopher J. Lyon
Yuanqing Zhang
Tony Y. Hu
Minhao Wu
author_facet Zhun Lin
Siping Liang
Zhe Pu
Zhengyu Zou
Luxuan He
Christopher J. Lyon
Yuanqing Zhang
Tony Y. Hu
Minhao Wu
author_sort Zhun Lin
collection DOAJ
description Single-cell analysis of phenotypic plasticity could improve the development of more effective therapeutics. Still, the development of tools to measure single-cell heterogeneity has lagged due to difficulties in manipulating and culturing single cells. Here, we describe a single-cell culture and phenotyping platform that employs a starburst microfluidic network and automatic liquid handling system to capture single cells for long-term culture and multi-dimensional analysis and quantify their clonal properties via their surface biomarker and secreted cytokine/growth factor profiles. Studies performed on this platform found that cells derived from single-cell cultures maintained phenotypic equilibria similar to their parental populations. Single-cell cultures exposed to chemotherapeutic drugs stochastically disrupted this balance to favor stem-like cells. They had enhanced expression of mRNAs and secreted factors associated with cell signaling, survival, and differentiation. This single-cell analysis approach can be extended to analyze more complex phenotypes and screen responses to therapeutic targets.
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issn 2211-3835
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publishDate 2025-05-01
publisher Elsevier
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series Acta Pharmaceutica Sinica B
spelling doaj-art-979eecab72ca4bd4ba8360e3e33db8a62025-08-20T03:09:57ZengElsevierActa Pharmaceutica Sinica B2211-38352025-05-011552723273510.1016/j.apsb.2025.02.039Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cellZhun Lin0Siping Liang1Zhe Pu2Zhengyu Zou3Luxuan He4Christopher J. Lyon5Yuanqing Zhang6Tony Y. Hu7Minhao Wu8School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, ChinaZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, ChinaSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, ChinaZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, ChinaSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, ChinaCenter of Cellular and Molecular Diagnosis, Tulane University School of Medicine, New Orleans, LA 70112, USASchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China; Corresponding authors.Center of Cellular and Molecular Diagnosis, Tulane University School of Medicine, New Orleans, LA 70112, USA; Corresponding authors.Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Corresponding authors.Single-cell analysis of phenotypic plasticity could improve the development of more effective therapeutics. Still, the development of tools to measure single-cell heterogeneity has lagged due to difficulties in manipulating and culturing single cells. Here, we describe a single-cell culture and phenotyping platform that employs a starburst microfluidic network and automatic liquid handling system to capture single cells for long-term culture and multi-dimensional analysis and quantify their clonal properties via their surface biomarker and secreted cytokine/growth factor profiles. Studies performed on this platform found that cells derived from single-cell cultures maintained phenotypic equilibria similar to their parental populations. Single-cell cultures exposed to chemotherapeutic drugs stochastically disrupted this balance to favor stem-like cells. They had enhanced expression of mRNAs and secreted factors associated with cell signaling, survival, and differentiation. This single-cell analysis approach can be extended to analyze more complex phenotypes and screen responses to therapeutic targets.http://www.sciencedirect.com/science/article/pii/S2211383525001340Single-cell analysisMicrofluidicCancer stem cellsPhenotypic transitionPhenotypic plasticityTumor heterogeneity
spellingShingle Zhun Lin
Siping Liang
Zhe Pu
Zhengyu Zou
Luxuan He
Christopher J. Lyon
Yuanqing Zhang
Tony Y. Hu
Minhao Wu
Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell
Acta Pharmaceutica Sinica B
Single-cell analysis
Microfluidic
Cancer stem cells
Phenotypic transition
Phenotypic plasticity
Tumor heterogeneity
title Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell
title_full Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell
title_fullStr Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell
title_full_unstemmed Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell
title_short Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell
title_sort phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell
topic Single-cell analysis
Microfluidic
Cancer stem cells
Phenotypic transition
Phenotypic plasticity
Tumor heterogeneity
url http://www.sciencedirect.com/science/article/pii/S2211383525001340
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AT luxuanhe phenotypicplasticityandsecretoryheterogeneityinsubpopulationsderivedfromsinglecancercell
AT christopherjlyon phenotypicplasticityandsecretoryheterogeneityinsubpopulationsderivedfromsinglecancercell
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