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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Detalles Bibliográficos
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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
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Acceso en línea:https://doaj.org/article/e3e19ba12cdd407ca10537b23a1ba94c
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Descripción
Sumario: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.