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.

Saved in:
Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: Nature Portfolio 2016
Subjects:
Q
Online Access:https://doaj.org/article/e3e19ba12cdd407ca10537b23a1ba94c
Tags: Add Tag
No Tags, Be the first to tag this record!