Identifying noise sources governing cell-to-cell variability

Mitchell, Simon and Hoffmann, Alexander (2018) Identifying noise sources governing cell-to-cell variability. Current Opinion in Systems Biology, 8. pp. 39-45. ISSN 2452-3100

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Abstract

Phenotypic differences often occur even in clonal cell popu- lations. Many potential sources of such variation have been identified, from biophysical rate variance intrinsic to all chem- ical processes to asymmetric division of molecular compo- nents extrinsic to any particular signaling pathway. Identifying the sources of phenotypic variation and quantifying their con- tributions to cell fate variation is not possible without accurate single cell data. By combining such data with mathematical models of potential noise sources it is possible to characterize the impact of varying levels of each noise source and identify which sources of variation best explain the experimental ob- servations. The mathematical framework of information theory provides metrics of the impact of noise on the reliability of a cell to sense its environment. While the presence of noise in a single cellular system reduces the reliability of signal trans- duction its impact on a population of varied single cells remains unclear.

Item Type: Article
Keywords: Single-cell, Noise, Variability, Computational modeling, Signaltransduction
Schools and Departments: Brighton and Sussex Medical School > Brighton and Sussex Medical School
Brighton and Sussex Medical School > Clinical and Experimental Medicine
Subjects: Q Science
R Medicine
Depositing User: Gemma Hamilton
Date Deposited: 14 Jun 2019 08:34
Last Modified: 01 Jul 2019 12:30
URI: http://sro.sussex.ac.uk/id/eprint/84309

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