Longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression

The molecular programs that underlie progression in multiple myeloma (MM) are incompletely understood. Here the authors use a mouse model of MM and single-cell RNA-seq to define subclonal expression programs that arise during progression and that inform targeted therapeutic strategies.

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Autores principales:	Danielle C. Croucher, Laura M. Richards, Serges P. Tsofack, Daniel Waller, Zhihua Li, Ellen Nong Wei, Xian Fang Huang, Marta Chesi, P. Leif Bergsagel, Michael Sebag, Trevor J. Pugh, Suzanne Trudel
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9ed0c77588914674a20dc3c48bc248a0
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spelling	oai:doaj.org-article:9ed0c77588914674a20dc3c48bc248a02021-11-08T11:11:15ZLongitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression10.1038/s41467-021-26598-w2041-1723https://doaj.org/article/9ed0c77588914674a20dc3c48bc248a02021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26598-whttps://doaj.org/toc/2041-1723The molecular programs that underlie progression in multiple myeloma (MM) are incompletely understood. Here the authors use a mouse model of MM and single-cell RNA-seq to define subclonal expression programs that arise during progression and that inform targeted therapeutic strategies.Danielle C. CroucherLaura M. RichardsSerges P. TsofackDaniel WallerZhihua LiEllen Nong WeiXian Fang HuangMarta ChesiP. Leif BergsagelMichael SebagTrevor J. PughSuzanne TrudelNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Danielle C. Croucher Laura M. Richards Serges P. Tsofack Daniel Waller Zhihua Li Ellen Nong Wei Xian Fang Huang Marta Chesi P. Leif Bergsagel Michael Sebag Trevor J. Pugh Suzanne Trudel Longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression
description	The molecular programs that underlie progression in multiple myeloma (MM) are incompletely understood. Here the authors use a mouse model of MM and single-cell RNA-seq to define subclonal expression programs that arise during progression and that inform targeted therapeutic strategies.
format	article
author	Danielle C. Croucher Laura M. Richards Serges P. Tsofack Daniel Waller Zhihua Li Ellen Nong Wei Xian Fang Huang Marta Chesi P. Leif Bergsagel Michael Sebag Trevor J. Pugh Suzanne Trudel
author_facet	Danielle C. Croucher Laura M. Richards Serges P. Tsofack Daniel Waller Zhihua Li Ellen Nong Wei Xian Fang Huang Marta Chesi P. Leif Bergsagel Michael Sebag Trevor J. Pugh Suzanne Trudel
author_sort	Danielle C. Croucher
title	Longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression
title_short	Longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression
title_full	Longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression
title_fullStr	Longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression
title_full_unstemmed	Longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression
title_sort	longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9ed0c77588914674a20dc3c48bc248a0
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Longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression

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