An information theoretic, microfluidic-based single cell analysis permits identification of subpopulations among putatively homogeneous stem cells.

An information theoretic, microfluidic-based single cell analysis permits identification of subpopulations among putatively homogeneous stem cells.

An incomplete understanding of the nature of heterogeneity within stem cell populations remains a major impediment to the development of clinically effective cell-based therapies. Transcriptional events within a single cell are inherently stochastic and can produce tremendous variability, even among...

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Bibliographic Details
Main Authors: Jason P Glotzbach, Michael Januszyk, Ivan N Vial, Victor W Wong, Alexander Gelbard, Tomer Kalisky, Hariharan Thangarajah, Michael T Longaker, Stephen R Quake, Gilbert Chu, Geoffrey C Gurtner
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3120839?pdf=render

Internet

http://europepmc.org/articles/PMC3120839?pdf=render

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