Literature DB >> 32222033

Protein level variability determines phenotypic heterogeneity in proteotoxic stress response.

Marie Guilbert1, François Anquez1, Alexandra Pruvost1, Quentin Thommen1, Emmanuel Courtade1.   

Abstract

Cell-to-cell variability in stress response is a bottleneck for the construction of accurate and predictive models which could guide clinical diagnosis and treatment of certain diseases, for example, cancer. Indeed, such phenotypic heterogeneity can lead to fractional killing and persistence of a subpopulation of cells which are resistant to a given treatment. The heat shock response network plays a major role in protecting the proteome against several types of injuries. Here, we combine high-throughput measurements and mathematical modeling to unveil the molecular origin of the phenotypic variability in the heat shock response network. Although the mean response coincides with known biochemical measurements, we found a surprisingly broad diversity in single-cell dynamics with a continuum of response amplitudes and temporal shapes for several stimulus strengths. We theoretically predict that the broad phenotypic heterogeneity is due to network ultrasensitivity together with variations in the expression level of chaperones controlled by the transcription factor heat shock factor 1. Furthermore, we experimentally confirm this prediction by mapping the response amplitude to chaperone and heat shock factor 1 expression levels.
© 2020 Federation of European Biochemical Societies.

Entities:  

Keywords:  cellular heterogeneity; heat shock response; mathematical modeling; signaling dynamics; single-cell analysis

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Year:  2020        PMID: 32222033     DOI: 10.1111/febs.15297

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  3 in total

1.  Tracking the Activation of Heat Shock Signaling in Cellular Protection and Damage.

Authors:  Shisui Torii; Pasko Rakic
Journal:  Cells       Date:  2022-05-05       Impact factor: 7.666

Review 2.  Drivers of dynamic intratumor heterogeneity and phenotypic plasticity.

Authors:  Antara Biswas; Subhajyoti De
Journal:  Am J Physiol Cell Physiol       Date:  2021-03-03       Impact factor: 4.249

3.  Cellular Environment and Phenotypic Heterogeneity: How Data-Driven Modeling Finds the Smoking Gun.

Authors:  Marie Guilbert; Emmanuel Courtade; Quentin Thommen
Journal:  Int J Mol Sci       Date:  2022-06-10       Impact factor: 6.208

  3 in total

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