Mathematical modeling of variability in intracellular signaling

Clicks: 68
ID: 283114
2019
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Abstract
Cellular signaling is essential in information processing and decision making. Therefore, a variety of experimental approaches have been developed to study signaling on bulk and single-cell level. Single-cell measurements of signaling molecules demonstrated a substantial cell-to-cell variability, raising questions about its causes and mechanisms and about how cell populations cope with or exploit cellular heterogeneity. To gain insights from single-cell signaling data, analysis and modeling approaches have been introduced. This review discusses these modeling approaches, with a focus on recent advances in the development and calibration of mechanistic models. Additionally, it outlines current and future challenges.
Reference Key
hasenauer2019mathematical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Carolin Loos; Jan Hasenauer
Journal arXiv
Year 2019
DOI
DOI not found
URL
http://arxiv.org/abs/1904.08182v1
Keywords
q-bio.qm

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