Evidence map›Paper›PMID 32818369›Full record

ArticleBiochemistry2020

Equilibrium Binding Model for CpG DNA-Dependent Dimerization of Toll-like Receptor 9 Ectodomain.

Stephanie Reikine, Stephen H McLaughlin, Yorgo Modis

Open access · hybridAbstract read
In one paragraph

Article in Biochemistry, 2020. 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
0.2field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  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

3 authors at 1 institution in 1 country.

Stephanie ReikineMolecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom.
Stephen H McLaughlinBiophysics, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom.
Yorgo ModisMolecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom.ORCID 0000-0002-6084-0429
MRC Laboratory of Molecular Biology · GB

Funding

Medical Research Council MC_U105184326Wellcome Trust 101908/Z/13/ZWellcome Trust 217191Wellcome Trust 217191/Z/19/Z
6 · The paper itself

Abstract

Microbial nucleic acids in the extracellular milieu are recognized in vertebrates by Toll-like receptors (TLRs), one of the most important families of innate immune receptors. TLR9 recognizes single-stranded unmethylated CpG DNA in endosomes. DNA binding induces TLR9 dimerization and activation of a potent inflammatory response. To provide insights on how DNA ligands induce TLR9 dimerization, we developed a detailed theoretical framework for equilibrium ligand binding, modeling the binding of the ssDNA at the two main sites on the TLR9 ectodomain. Light scattering and fluorescence anisotropy assays performed with recombinant TLR9 ectodomain and a panel of agonistic and antagonistic DNA ligands provide data that restrain the binding parameters, identify the likely ligand binding intermediates, and suggest cooperative modes of binding. This work brings us one step closer to establishing a rigorous biochemical understanding of how TLRs are activated by their ligands.

Indexed as

AnimalsAnisotropyBinding SitesCpG IslandsDNA, Single-StrandedDynamic Light ScatteringFluorescence PolarizationHumansHydrodynamicsMiceOligodeoxyribonucleotidesToll-Like Receptor 9DNA, Single-StrandedOligodeoxyribonucleotidesToll-Like Receptor 9

Identifiers

PMID32818369
PMCPMC7643339
OpenAlexW3080929909

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.