Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies

Unrecognized progenitor cell perturbations underlying a disease state may limit the efficacy of cell therapies. Here, the authors use high-throughput, single-cell transcriptional analysis to identify disease-specific cellular alterations and prospectively isolate restorative cell subpopulations.

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Autores principales: Robert C. Rennert, Michael Januszyk, Michael Sorkin, Melanie Rodrigues, Zeshaan N. Maan, Dominik Duscher, Alexander J. Whittam, Revanth Kosaraju, Michael T. Chung, Kevin Paik, Alexander Y. Li, Michael Findlay, Jason P. Glotzbach, Atul J. Butte, Geoffrey C. Gurtner
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Lenguaje:EN
Publicado: Nature Portfolio 2016
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Acceso en línea:https://doaj.org/article/e3e19ba12cdd407ca10537b23a1ba94c
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spelling oai:doaj.org-article:e3e19ba12cdd407ca10537b23a1ba94c2021-12-02T16:49:26ZMicrofluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies10.1038/ncomms119452041-1723https://doaj.org/article/e3e19ba12cdd407ca10537b23a1ba94c2016-06-01T00:00:00Zhttps://doi.org/10.1038/ncomms11945https://doaj.org/toc/2041-1723Unrecognized progenitor cell perturbations underlying a disease state may limit the efficacy of cell therapies. Here, the authors use high-throughput, single-cell transcriptional analysis to identify disease-specific cellular alterations and prospectively isolate restorative cell subpopulations.Robert C. RennertMichael JanuszykMichael SorkinMelanie RodriguesZeshaan N. MaanDominik DuscherAlexander J. WhittamRevanth KosarajuMichael T. ChungKevin PaikAlexander Y. LiMichael FindlayJason P. GlotzbachAtul J. ButteGeoffrey C. GurtnerNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-9 (2016)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Robert C. Rennert
Michael Januszyk
Michael Sorkin
Melanie Rodrigues
Zeshaan N. Maan
Dominik Duscher
Alexander J. Whittam
Revanth Kosaraju
Michael T. Chung
Kevin Paik
Alexander Y. Li
Michael Findlay
Jason P. Glotzbach
Atul J. Butte
Geoffrey C. Gurtner
Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies
description Unrecognized progenitor cell perturbations underlying a disease state may limit the efficacy of cell therapies. Here, the authors use high-throughput, single-cell transcriptional analysis to identify disease-specific cellular alterations and prospectively isolate restorative cell subpopulations.
format article
author Robert C. Rennert
Michael Januszyk
Michael Sorkin
Melanie Rodrigues
Zeshaan N. Maan
Dominik Duscher
Alexander J. Whittam
Revanth Kosaraju
Michael T. Chung
Kevin Paik
Alexander Y. Li
Michael Findlay
Jason P. Glotzbach
Atul J. Butte
Geoffrey C. Gurtner
author_facet Robert C. Rennert
Michael Januszyk
Michael Sorkin
Melanie Rodrigues
Zeshaan N. Maan
Dominik Duscher
Alexander J. Whittam
Revanth Kosaraju
Michael T. Chung
Kevin Paik
Alexander Y. Li
Michael Findlay
Jason P. Glotzbach
Atul J. Butte
Geoffrey C. Gurtner
author_sort Robert C. Rennert
title Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies
title_short Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies
title_full Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies
title_fullStr Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies
title_full_unstemmed Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies
title_sort microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies
publisher Nature Portfolio
publishDate 2016
url https://doaj.org/article/e3e19ba12cdd407ca10537b23a1ba94c
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