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.
Guardado en:
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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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2016
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Materias: | |
Acceso en línea: | https://doaj.org/article/e3e19ba12cdd407ca10537b23a1ba94c |
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