Evidence map›Paper›PMID 31710744›Full record

ArticleProteins2020

Computational simulations of TNF receptor oligomerization on plasma membrane.

Zhaoqian Su, Yinghao Wu

Open access · greenAbstract read
In one paragraph

Article in Proteins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Zhaoqian SuDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, New York.ORCID 0000-0002-8369-0697
Yinghao WuDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, New York.ORCID 0000-0003-1181-5670
Albert Einstein College of Medicine · US

Funding

Computational models for the signaling of tumor necrosis factor receptor on cell surfacesR01GM122804 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI WU, YINGHAO · 2017 to 2020
$1.3M
NIGMS NIH HHS R01 GM122804NIGMS NIH HHS R01GM122804
6 · The paper itself

Abstract

The interactions between tumor necrosis factors (TNFs) and their corresponding receptors (TNFRs) play a pivotal role in inflammatory responses. Upon ligand binding, TNFR receptors were found to form oligomers on cell surfaces. However, the underlying mechanism of oligomerization is not fully understood. In order to tackle this problem, molecular dynamics (MD) simulations have been applied to the complex between TNF receptor-1 (TNFR1) and its ligand TNF-α as a specific test system. The simulations on both all-atom (AA) and coarse-grained (CG) levels achieved the similar results that the extracellular domains of TNFR1 can undergo large fluctuations on plasma membrane, while the dynamics of TNFα-TNFR1 complex is much more constrained. Using the CG model with the Martini force field, we are able to simulate the systems that contain multiple TNFα-TNFR1 complexes with the timescale of microseconds. We found that complexes can aggregate into oligomers on the plasma membrane through the lateral interactions between receptors at the end of the CG simulations. We suggest that this spatial organization is essential to the efficiency of signal transduction for ligands that belong to the TNF superfamily. We further show that the aggregation of two complexes is initiated by the association between the N-terminal domains of TNFR1 receptors. Interestingly, the cis-interfaces between N-terminal regions of two TNF receptors have been observed in the previous X-ray crystallographic experiment. Therefore, we provide supportive evidence that cis-interface is of functional importance in triggering the receptor oligomerization. Taken together, our study brings insights to understand the molecular mechanism of TNF signaling.

Indexed as

Molecular Dynamics SimulationBinding SitesCell MembraneHumansKineticsLipid BilayersProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Interaction Domains and MotifsProtein MultimerizationReceptors, Tumor Necrosis Factor, Type IThermodynamicsTumor Necrosis Factor-alphaLipid BilayersReceptors, Tumor Necrosis Factor, Type ITumor Necrosis Factor-alpha

Identifiers

PMID31710744
PMCPMC7266643
OpenAlexW2982826006

What OpenQuestion holds

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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.