An Information Theoretic, Microfluidic-Based Single Cell Analysis Permits Identification of Subpopulations among Putatively Homogeneous Stem Cells

@inproceedings{Glotzbach2011AnIT,
  title={An Information Theoretic, Microfluidic-Based Single Cell Analysis Permits Identification of Subpopulations among Putatively Homogeneous Stem Cells},
  author={Jason P. Glotzbach and Michael Januszyk and Ivan N. Vial and Victor W. Wong and Alexander Gelbard and Tomer Kalisky and Hariharan Thangarajah and Michael Thornton Longaker and Stephen R Quake and Gilbert Chu and Geoffrey C. Gurtner},
  booktitle={PloS one},
  year={2011}
}
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 genetically identical cells. It remains unclear how mammalian cellular systems overcome this intrinsic noisiness of gene expression to produce consequential variations in function, and what impact… CONTINUE READING