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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Nature Portfolio
2016
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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) |
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Science Q |
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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 |
work_keys_str_mv |
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1718383368299610112 |