C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine

Summary: Cellular morphology has the capacity to serve as a surrogate for cellular state and functionality. However, primary cardiomyocytes, the standard model in cardiovascular research, are highly heterogeneous cells and therefore impose methodological challenges to analysis. Hence, we aimed to de...

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Autores principales:	Jennifer Furkel, Maximilian Knoll, Shabana Din, Nicolai V. Bogert, Timon Seeger, Norbert Frey, Amir Abdollahi, Hugo A. Katus, Mathias H. Konstandin
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	cellular morphology high-content imaging high-throughput screening human induced pluripotent stem cell-derived cardiomyocytes hypertrophic cardiomyopathy neonatal rat cardiomyocytes Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/e22b1a242b62412ea336e8537f08282f
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spelling	oai:doaj.org-article:e22b1a242b62412ea336e8537f08282f2021-11-18T04:52:11ZC-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine2666-379110.1016/j.xcrm.2021.100436https://doaj.org/article/e22b1a242b62412ea336e8537f08282f2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666379121002986https://doaj.org/toc/2666-3791Summary: Cellular morphology has the capacity to serve as a surrogate for cellular state and functionality. However, primary cardiomyocytes, the standard model in cardiovascular research, are highly heterogeneous cells and therefore impose methodological challenges to analysis. Hence, we aimed to devise a robust methodology to deconvolute cardiomyocyte morphology on a single-cell level: C-MORE (cellular morphology recognition) is a workflow from bench to data analysis tailored for heterogeneous primary cells using our R package cmoRe. We demonstrate its utility in proof-of-principle applications such as modulation of canonical hypertrophy pathways and linkage of genotype-phenotype in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). In our pilot study, exposure of cardiomyocytes to blood plasma prior to versus after aortic valve replacement allows identification of a disease fingerprint and reflects partial reversibility following therapeutic intervention. C-MORE is a valuable tool for cardiovascular research with possible fields of application in basic research and personalized medicine.Jennifer FurkelMaximilian KnollShabana DinNicolai V. BogertTimon SeegerNorbert FreyAmir AbdollahiHugo A. KatusMathias H. KonstandinElsevierarticlecellular morphologyhigh-content imaginghigh-throughput screeninghuman induced pluripotent stem cell-derived cardiomyocyteshypertrophic cardiomyopathyneonatal rat cardiomyocytesMedicine (General)R5-920ENCell Reports Medicine, Vol 2, Iss 11, Pp 100436- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cellular morphology high-content imaging high-throughput screening human induced pluripotent stem cell-derived cardiomyocytes hypertrophic cardiomyopathy neonatal rat cardiomyocytes Medicine (General) R5-920
spellingShingle	cellular morphology high-content imaging high-throughput screening human induced pluripotent stem cell-derived cardiomyocytes hypertrophic cardiomyopathy neonatal rat cardiomyocytes Medicine (General) R5-920 Jennifer Furkel Maximilian Knoll Shabana Din Nicolai V. Bogert Timon Seeger Norbert Frey Amir Abdollahi Hugo A. Katus Mathias H. Konstandin C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine
description	Summary: Cellular morphology has the capacity to serve as a surrogate for cellular state and functionality. However, primary cardiomyocytes, the standard model in cardiovascular research, are highly heterogeneous cells and therefore impose methodological challenges to analysis. Hence, we aimed to devise a robust methodology to deconvolute cardiomyocyte morphology on a single-cell level: C-MORE (cellular morphology recognition) is a workflow from bench to data analysis tailored for heterogeneous primary cells using our R package cmoRe. We demonstrate its utility in proof-of-principle applications such as modulation of canonical hypertrophy pathways and linkage of genotype-phenotype in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). In our pilot study, exposure of cardiomyocytes to blood plasma prior to versus after aortic valve replacement allows identification of a disease fingerprint and reflects partial reversibility following therapeutic intervention. C-MORE is a valuable tool for cardiovascular research with possible fields of application in basic research and personalized medicine.
format	article
author	Jennifer Furkel Maximilian Knoll Shabana Din Nicolai V. Bogert Timon Seeger Norbert Frey Amir Abdollahi Hugo A. Katus Mathias H. Konstandin
author_facet	Jennifer Furkel Maximilian Knoll Shabana Din Nicolai V. Bogert Timon Seeger Norbert Frey Amir Abdollahi Hugo A. Katus Mathias H. Konstandin
author_sort	Jennifer Furkel
title	C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine
title_short	C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine
title_full	C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine
title_fullStr	C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine
title_full_unstemmed	C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine
title_sort	c-more: a high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e22b1a242b62412ea336e8537f08282f
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C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine

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