Evidence map›Paper›PMID 35059032›Full record

ReviewBiophysical reviews2021

Protein conformational dynamics and phenotypic switching.

Prakash Kulkarni, Srisairam Achuthan, Supriyo Bhattacharya, Mohit Kumar Jolly, Sourabh Kotnala, Vitor B P Leite, Atish Mohanty, John Orban, Susmita Roy, Govindan Rangarajan and 1 more

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Editors' Roundup: June 2022.Biophysical reviews · 2022
    Article
  11. Biophysical reviews · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Prakash KulkarniDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA 91010 USA.ORCID 0000-0003-3285-197X
Srisairam AchuthanCenter for Informatics, Division of Research Informatics, City of Hope National Medical Center, Duarte, CA 91010 USA.
Supriyo BhattacharyaTranslational Bioinformatics, Center for Informatics, Department of Computational and Quantitative Medicine, City of Hope National Medical Center, 1500 Duarte Rd, Duarte, CA 91010 USA.
Mohit Kumar JollyCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, 560012 India.
Sourabh KotnalaDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA 91010 USA.
Vitor B P LeiteDepartamento de Física, Instituto de Biociências, Letras e Ciências ExatasUniversidade Estadual Paulista (UNESP), São José Do Rio Preto, São Paulo, 15054-000 Brazil.
Atish MohantyDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA 91010 USA.
John OrbanInstitute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850 USA.
Susmita RoyDepartment of Chemical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur, West Bengal 741246 India.
Govindan RangarajanDepartment of Mathematics, Indian Institute of Science, Bangalore, 560012 India.
Ravi SalgiaDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA 91010 USA.

Funding

PAGE4 as a Novel Target for Prostate Cancer PreventionR21CA181730 · NCI · UNIV OF MARYLAND, COLLEGE PARK · PI KULKARNI, PRAKASH, ORBAN, JOHN · 2014 to 2015
$364k
NCI NIH HHS R21 CA181730
6 · The paper itself

Abstract

Intrinsically disordered proteins (IDPs) are proteins that lack rigid 3D structure but exist as conformational ensembles. Because of their structural plasticity, they can interact with multiple partners. The protein interactions between IDPs and their partners form scale-free protein interaction networks (PINs) that facilitate information flow in the cell. Because of their plasticity, IDPs typically occupy hub positions in cellular PINs. Furthermore, their conformational dynamics and propensity for post-translational modifications contribute to "conformational" noise which is distinct from the well-recognized transcriptional noise. Therefore, upregulation of IDPs in response to a specific input, such as stress, contributes to increased noise and, hence, an increase in stochastic, "promiscuous" interactions. These interactions lead to activation of latent pathways or can induce "rewiring" of the PIN to yield an optimal output underscoring the critical role of IDPs in regulating information flow. We have used PAGE4, a highly intrinsically disordered stress-response protein as a paradigm. Employing a variety of experimental and computational techniques, we have elucidated the role of PAGE4 in phenotypic switching of prostate cancer cells at a systems level. These cumulative studies over the past decade provide a conceptual framework to better understand how IDP conformational dynamics and conformational noise might facilitate cellular decision-making.

Indexed as

Conformational noiseIntrinsically disordered proteinsMRK hypothesisPAGE4Phenotypic switchingProtein conformational dynamics

Identifiers

PMID35059032
PMCPMC8724335

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.