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Mathematical modeling of variability in intracellular signaling.
Curr. Opin. Syst. Biol. 16, 17-24 (2019)
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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Publication type
Article: Journal article
Document type
Review
Keywords
Heterogeneity ; Mechanistic Modeling ; Ordinary Differential Equation Models ; Single-cell Data
Language
english
Publication Year
2019
HGF-reported in Year
2019
ISSN (print) / ISBN
2452-3100
e-ISSN
2452-3100
Quellenangaben
Volume: 16,
Pages: 17-24
Publisher
Elsevier
Publishing Place
Amsterdam
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-553800-001
G-503800-001
G-503800-001
Scopus ID
85075795287
Erfassungsdatum
2019-12-10