Evidence map›Paper›PMID 39902049›Full record

ArticleFrontiers in immunology2024

Toll-like receptor 4 pathway evolutionary trajectory and functional emergence.

Shailya Verma, Ramanathan Sowdhamini

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Shailya VermaNational Centre for Biological Sciences (TIFR), Bangalore, India.
Ramanathan SowdhaminiNational Centre for Biological Sciences (TIFR), Bangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Toll-like receptors 4 (TLR4) recognize lipopolysaccharides (LPS) from bacteria as their conventional ligands and undergo downstream signaling to produce cytokines. They mediate the signaling either by the TIRAP-MyD88 complex or by the TRAM-TRIF complex. The MyD88 pathway is common to all other TLRs, whereas the TRAM-TRIF complex is largely exclusive to TLR4. Here we study the TIR domain of TRAM and TRIF ortholog proteins that are crucial for downstream signaling. Our previous work on pan-genome-wide survey, indicates Methods: To gain a deeper insight into the protein function and to compare them with Results: We compared the stoichiometry of TRAM-TRIF complexes and found that the tetrameric models (TRAM and TRIF dimer) were more stable than the trimeric model (TRAM dimer and TRIF monomer). While the critical residues of TIRAP, TRIF, and MyD88 were preserved, we also found that the important residues of TRAM signaling were not conserved in Discussion: This suggests the presence of functional TIRAP-MyD88-mediated TLR4 signaling and TRIF-mediated TLR3 signaling in the ancestral species. The overall biological function of this signaling domain appears to be gradually acquired through the orchestration of several motifs through an evolutionary scale.

Indexed as

Adaptor Proteins, Vesicular TransportEvolution, MolecularSignal TransductionToll-Like Receptor 4AnimalsHumansMembrane GlycoproteinsMolecular Docking SimulationMyeloid Differentiation Factor 88Protein BindingReceptors, Interleukin-1Adaptor Proteins, Vesicular TransportMembrane GlycoproteinsMyeloid Differentiation Factor 88Receptors, Interleukin-1TICAM1 protein, humanTIRAP protein, humanTLR4 protein, humanToll-Like Receptor 4molecular dynamics simulationsnormal mode analysisorthologsprotein modelingresidue network analysisTLR adaptor proteinsTRAMTRIF

Identifiers

PMID39902049
PMCPMC11788365

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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.