Evidence map›Paper›PMID 36869592›Full record

ArticleBiophysical journal2023

Computational modeling of TGF-β2:TβRI:TβRII receptor complex assembly as mediated by the TGF-β coreceptor betaglycan.

Aasakiran Madamanchi, Michelle Ingle, Andrew P Hinck, David M Umulis

Open access · hybridAbstract read
In one paragraph

Article in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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  4. Article
  5. Article
  6. Article
  7. TGF-β signaling in health, disease, and therapeutics.Signal transduction and targeted therapy · 2024
    Review
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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 2 institutions in 1 country.

Aasakiran MadamanchiDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana.
Michelle IngleDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana.
Andrew P HinckDepartment of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
David M UmulisDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana. Electronic address: dumulis@purdue.edu.
Purdue University West Lafayette · USUniversity of Pittsburgh · US

Funding

LIGAND/RECEPTOR INTERACTIONS IN THE TGF BETA SUPERFAMILYR01GM058670 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HINCK, ANDREW P · 1999 to 2017
$3.6M
Modeling and analysis of BMP-mediated Dorsal/Ventral patterning in zebrafish embryosR01GM132501 · NIGMS · PURDUE UNIVERSITY · PI UMULIS, DAVID MICHAEL · 2019 to 2022
$1.4M
NIGMS NIH HHS R01 GM058670NIGMS NIH HHS R01 GM132501
6 · The paper itself

Abstract

Transforming growth factor-β1, -β2, and -β3 (TGF-β1, -β2, and -β3) are secreted signaling ligands that play essential roles in tissue development, tissue maintenance, immune response, and wound healing. TGF-β ligands form homodimers and signal by assembling a heterotetrameric receptor complex comprised of two type I receptor (TβRI):type II receptor (TβRII) pairs. TGF-β1 and TGF-β3 ligands signal with high potency due to their high affinity for TβRII, which engenders high-affinity binding of TβRI through a composite TGF-β:TβRII binding interface. However, TGF-β2 binds TβRII 200-500 more weakly than TGF-β1 and TGF-β3 and signals with lower potency compared with these ligands. Remarkably, the presence of an additional membrane-bound coreceptor, known as betaglycan, increases TGF-β2 signaling potency to levels similar to TGF-β1 and -β3. The mediating effect of betaglycan occurs even though it is displaced from and not present in the heterotetrameric receptor complex through which TGF-β2 signals. Published biophysics studies have experimentally established the kinetic rates of the individual ligand-receptor and receptor-receptor interactions that initiate heterotetrameric receptor complex assembly and signaling in the TGF-β system; however, current experimental approaches are not able to directly measure kinetic rates for the intermediate and latter steps of assembly. To characterize these steps in the TGF-β system and determine the mechanism of betaglycan in the potentiation of TGF-β2 signaling, we developed deterministic computational models with different modes of betaglycan binding and varying cooperativity between receptor subtypes. The models identified conditions for selective enhancement of TGF-β2 signaling. The models provide support for additional receptor binding cooperativity that has been hypothesized but not evaluated in the literature. The models further showed that betaglycan binding to the TGF-β2 ligand through two domains provides an effective mechanism for transfer to the signaling receptors that has been tuned to efficiently promote assembly of the TGF-β2(TβRII)

Indexed as

Transforming Growth Factor betaTransforming Growth Factor beta1Computer SimulationLigandsProtein Serine-Threonine KinasesProteoglycansReceptors, Transforming Growth Factor betaTransforming Growth Factor beta2Transforming Growth Factor beta3betaglycanLigandsProtein Serine-Threonine KinasesProteoglycansReceptors, Transforming Growth Factor betaTransforming Growth Factor betaTransforming Growth Factor beta1Transforming Growth Factor beta2Transforming Growth Factor beta3

Identifiers

PMID36869592
PMCPMC10111353
OpenAlexW4322761878

What OpenQuestion holds

Textmetadata
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.