University of Sussex
Browse
noiseReviewResubmit2ahsm.pdf (446.81 kB)

Identifying noise sources governing cell-to-cell variability

Download (446.81 kB)
journal contribution
posted on 2023-06-09, 18:04 authored by Simon MitchellSimon Mitchell, Alexander Hoffmann
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.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Current Opinion in Systems Biology

ISSN

2452-3100

Publisher

Elsevier

Volume

8

Page range

39-45

Department affiliated with

  • BSMS Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2019-06-14

First Open Access (FOA) Date

2019-06-19

First Compliant Deposit (FCD) Date

2019-06-13

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC