Journal article

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

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

NATURE COMMUNICATIONS | NATURE PUBLISHING GROUP | Published : 2016

Abstract

Current progenitor cell therapies have only modest efficacy, which has limited their clinical adoption. This may be the result of a cellular heterogeneity that decreases the number of functional progenitors delivered to diseased tissue, and prevents correction of underlying pathologic cell population disruptions. Here, we develop a high-resolution method of identifying phenotypically distinct progenitor cell subpopulations via single-cell transcriptional analysis and advanced bioinformatics. When combined with high-throughput cell surface marker screening, this approach facilitates the rational selection of surface markers for prospective isolation of cell subpopulations with desired transcr..

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Grants

Awarded by National Institutes of Health


Awarded by NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING


Awarded by NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES


Awarded by NATIONAL INSTITUTE ON AGING


Funding Acknowledgements

We thank Yujin Park for her assistance with tissue processing and staining. Flow cytometric analyses for this manuscript were completed at the Stanford Shared FACS Facility. Funding for the stem cell research performed in our laboratory has been provided by the Hagey Family Endowed Fund in Stem Cell Research and Regenerative Medicine, the Armed Forces Institute of Regenerative Medicine (United States Department of Defense), the National Institutes of Health (R01-DK074095, R01-EB005718, R01-AG025016 and #LM0077033) and the Oak Foundation.