Mathematical Modeling of Normal and Cancer Stem Cells

Mathematical Modeling of Normal and Cancer Stem Cells Curr Stem Cell Rep (2017) 3:232–239 DOI 10.1007/s40778-017-0094-4 MATHEMATICAL MODELS OF STEM CELL BEHAVIOR (M KOHANDEL, SECTION EDITOR) 1 1,2 1,3 Lora D. Weiss & Natalia L. Komarova & Ignacio A. Rodriguez-Brenes Published online: 2 August 2017 Springer International Publishing AG 2017 Abstract Introduction Purpose of Review Stem cells are fundamental to tissue main- tenance and repair; they also play a critical role in cancer Stem cells are unspecialized, undifferentiated cells that are development and in determining the outcomes of cancer treat- characterized by two properties, their ability to maintain their ment. This review explores recent mathematical and compu- own numbers through self-replication (called self-renewal), tational models that address stem cell dynamics in the context and by cell potency, the ability to differentiate into specialized of normal tissue regulation and cancer. cell types. Embryonic stem cells are pluripotent, being capable Recent Findings Quantitative approaches have yielded signif- of giving rise to nearly all cell types in the body. Adult stem icant insight into the processes of tissue regulation in normal cells are multi-potent, having the ability to generate progeny hierarchically organized tissues. Modeling of cancer stem of distinct cell types of a specific tissue [1]. Adult stem cells cells Current Stem Cell Reports Springer Journals

Mathematical Modeling of Normal and Cancer Stem Cells

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