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Loos, C. ; Hasenauer, J.

Mathematical modeling of variability in intracellular signaling.

Curr. Opin. Syst. Biol. 16, 17-24 (2019)
Postprint DOI
Open Access Green
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Heterogeneity ; Mechanistic Modeling ; Ordinary Differential Equation Models ; Single-cell Data
Sprache englisch
Veröffentlichungsjahr 2019
HGF-Berichtsjahr 2019
ISSN (print) / ISBN 2452-3100
e-ISSN 2452-3100
Zeitschrift Current Opinion in Systems Biology
Quellenangaben Band: 16, Heft: , Seiten: 17-24 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Amsterdam
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-553800-001
G-503800-001
DOI 10.1016/j.coisb.2019.10.020
Scopus ID 85075795287
Erfassungsdatum 2019-12-10
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