RT Journal Article
SR Electronic
T1 Information Theory and Stem Cell Biology
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 116673
DO 10.1101/116673
A1 Rosanna C. G. Smith
A1 Ben D. MacArthur
YR 2017
UL http://biorxiv.org/content/early/2017/03/14/116673.abstract
AB Purpose of Review To outline how ideas from Information Theory may be used to analyze single cell data and better understand stem cell behaviour.Recent findings Recent technological breakthroughs in single cell profiling have made it possible to interrogate cell-to-cell variability in a multitude of contexts, including the role it plays in stem cell dynamics. Here we review how measures from information theory are being used to extract biological meaning from the complex, high-dimensional and noisy datasets that arise from single cell profiling experiments. We also discuss how concepts linking information theory and statistical mechanics are being used to provide insight into cellular identity, variability and dynamics.Summary We provide a brief introduction to some basic notions from information theory and how they may be used to understand stem cell identities at the single cell level. We also discuss how work in this area might develop in the near future.