Evidence map›Paper›PMID 36248730›Full record

ArticleiScience2022

Cooperative RNA degradation stabilizes intermediate epithelial-mesenchymal states and supports a phenotypic continuum.

Benjamin Nordick, Mary Chae-Yeon Park, Vito Quaranta, Tian Hong

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Theoretical and computational tools to model multistable gene regulatory networks.Reports on progress in physics. Physical Society (Great Britain) · 2023
    Review
  6. 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

4 authors at 3 institutions in 1 country.

Benjamin NordickSchool of Genome Science and Technology, The University of Tennessee, Knoxville, TN 37916, USA.
Mary Chae-Yeon ParkDepartment of Biochemistry & Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37916, USA.
Vito QuarantaDepartment of Biochemistry, Vanderbilt University School of Medicine Basic Sciences, Nashville, TN 37232, USA.
Tian HongDepartment of Biochemistry & Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37916, USA.
University of Tennessee at Knoxville · USNational Institute for Mathematical and Biological Synthesis · USVanderbilt University · US

Funding

Single-Cell Biology and Data Analysis Shared Resource (SCB-DA SR)U54CA217450 · NCI · VANDERBILT UNIVERSITY · PI WEAVER, ALISSA M · 2018 to 2022
$8.5M
Phenotype Transitions in Small Cell Lung CancerU01CA215845 · NCI · VANDERBILT UNIVERSITY · PI LOPEZ, CARLOS FEDERICO, QUARANTA, VITO · 2017 to 2021
$2.8M
Mathametical modeling of cell fate transitions regulated by ultra-feedbacksR01GM140462 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI HONG, TIAN · 2020 to 2022
$600k
NCI NIH HHS U01 CA215845NCI NIH HHS U54 CA217450NIGMS NIH HHS R01 GM140462
6 · The paper itself

Abstract

Multiple intermediate epithelial-mesenchymal transition (EMT) states reflecting hybrid epithelial and mesenchymal phenotypes were observed in physiological and pathological conditions. Previous theoretical models explaining multiple EMT states rely on regulatory loops involving transcriptional feedback, which produce three or four attractors. This is incompatible with the observed continuum-like EMT spectrum. Here, we used mass-action-based models to describe post-transcriptional regulations, finding that cooperative RNA degradation via multiple microRNA binding sites can generate four-attractor systems without transcriptional feedback. Furthermore, the newly identified intermediates-enabling circuits are common in the EMT regulatory network, and they can synergize with transcriptional feedback to support phenotypic continuum. Finally, our model predicted a role of miR-101 in multistate EMT, and we identified evidence from single-cell RNA-sequencing data that support the prediction. Our work reveals a previously unknown role of cooperative RNA degradation and microRNAs in EMT, providing a framework that can bridge the gap between mechanistic models and single-cell experiments.

Indexed as

Mathematical biosciencesMolecular mechanism of gene regulation

Identifiers

PMID36248730
PMCPMC9557027
OpenAlexW4297387476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.