Information-Theoretic Approaches to Understanding Stem Cell Variability

Information-Theoretic Approaches to Understanding Stem Cell Variability Curr Stem Cell Rep (2017) 3:225–231 DOI 10.1007/s40778-017-0093-5 MATHEMATICAL MODELS OF STEM CELL BEHAVIOR (M KOHANDEL, SECTION EDITOR) Information-Theoretic Approaches to Understanding Stem Cell Variability 1,2 1,2,3 Rosanna C.G. Smith & Ben D. MacArthur Published online: 13 July 2017 Springer International Publishing AG 2017 Abstract Introduction Purpose of Review The purpose of this study is to outline how ideas from information theory may be used to analyze single- Stem cells are characterized by their ability to self-renew and cell data and better understand stem cell behavior. differentiate along multiple distinct lineages. Due to these re- Recent Findings Recent technological breakthroughs in markable properties, there is much hope for stem cell-based single-cell profiling have made it possible to interrogate therapies in regenerative medicine. However, the develop- cell–cell variability in a multitude of contexts, including the ment of such therapies will require a thorough understanding role it plays in stem cell dynamics. Here we review how mea- of the molecular mechanisms by which stem cells balance sures from information theory are being used to extract bio- self-renewal and differentiation. Since stem cells are often rare logical meaning from the complex, high-dimensional, and (as in the adult) or exist only transiently (as Current Stem Cell Reports Springer Journals

Information-Theoretic Approaches to Understanding Stem Cell Variability

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Springer International Publishing
Copyright © 2017 by Springer International Publishing AG
Life Sciences; Cell Biology; Stem Cells
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