Mathematical modeling of variability in intracellular signaling. Issue 16 (August 2019)

• Record Type: Journal Article
• Authors: Loos, Carolin; Hasenauer, Jan
• Is Part Of: Current opinion in systems biology. Issue 16(2019)
• Page Start: 17
• Page End: 24
• Publication Date: 2019-08
• Subjects: Mechanistic modeling -- Single-cell data -- Heterogeneity -- Ordinary differential equation models; Systems biology -- Periodicals; 570
• DOI: 10.1016/j.coisb.2019.10.020
• Languages: English
• ISSNs: 2452-3100

Abstract

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.