Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis

Human induced pluripotent stem cell derived cardiomyocytes are a powerful model for cardiogenesis and disease in vitro. Here the authors comprehensively map cardiac differentiation using multiple modalities, including single-cell RNA seq and CyTOF, in cells with a gain or loss of function in key ca...

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Autores principales:	Jared M. Churko, Priyanka Garg, Barbara Treutlein, Meenakshi Venkatasubramanian, Haodi Wu, Jaecheol Lee, Quinton N. Wessells, Shih-Yu Chen, Wen-Yi Chen, Kashish Chetal, Gary Mantalas, Norma Neff, Eric Jabart, Arun Sharma, Garry P. Nolan, Nathan Salomonis, Joseph C. Wu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2ddb8b7790bb4652b885d858f26957c7
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spelling	oai:doaj.org-article:2ddb8b7790bb4652b885d858f26957c72021-12-02T16:56:52ZDefining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis10.1038/s41467-018-07333-42041-1723https://doaj.org/article/2ddb8b7790bb4652b885d858f26957c72018-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07333-4https://doaj.org/toc/2041-1723Human induced pluripotent stem cell derived cardiomyocytes are a powerful model for cardiogenesis and disease in vitro. Here the authors comprehensively map cardiac differentiation using multiple modalities, including single-cell RNA seq and CyTOF, in cells with a gain or loss of function in key cardiac transcription factors.Jared M. ChurkoPriyanka GargBarbara TreutleinMeenakshi VenkatasubramanianHaodi WuJaecheol LeeQuinton N. WessellsShih-Yu ChenWen-Yi ChenKashish ChetalGary MantalasNorma NeffEric JabartArun SharmaGarry P. NolanNathan SalomonisJoseph C. WuNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jared M. Churko Priyanka Garg Barbara Treutlein Meenakshi Venkatasubramanian Haodi Wu Jaecheol Lee Quinton N. Wessells Shih-Yu Chen Wen-Yi Chen Kashish Chetal Gary Mantalas Norma Neff Eric Jabart Arun Sharma Garry P. Nolan Nathan Salomonis Joseph C. Wu Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis
description	Human induced pluripotent stem cell derived cardiomyocytes are a powerful model for cardiogenesis and disease in vitro. Here the authors comprehensively map cardiac differentiation using multiple modalities, including single-cell RNA seq and CyTOF, in cells with a gain or loss of function in key cardiac transcription factors.
format	article
author	Jared M. Churko Priyanka Garg Barbara Treutlein Meenakshi Venkatasubramanian Haodi Wu Jaecheol Lee Quinton N. Wessells Shih-Yu Chen Wen-Yi Chen Kashish Chetal Gary Mantalas Norma Neff Eric Jabart Arun Sharma Garry P. Nolan Nathan Salomonis Joseph C. Wu
author_facet	Jared M. Churko Priyanka Garg Barbara Treutlein Meenakshi Venkatasubramanian Haodi Wu Jaecheol Lee Quinton N. Wessells Shih-Yu Chen Wen-Yi Chen Kashish Chetal Gary Mantalas Norma Neff Eric Jabart Arun Sharma Garry P. Nolan Nathan Salomonis Joseph C. Wu
author_sort	Jared M. Churko
title	Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis
title_short	Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis
title_full	Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis
title_fullStr	Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis
title_full_unstemmed	Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis
title_sort	defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/2ddb8b7790bb4652b885d858f26957c7
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Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis

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