Evidence map›Paper›PMID 33523635›Full record

ArticleACS chemical biology2021

Receptor-Ligand Kinetics Influence the Mechanism of Action of Covalently Linked TLR Ligands.

Flora W Kimani, Jainu Ajit, Alexander Galluppi, Saikat Manna, William J Howitz, Sophia Tang, Aaron P Esser-Kahn

Open access · greenAbstract read
In one paragraph

Article in ACS chemical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors at 2 institutions in 1 country.

Flora W KimaniPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.
Jainu AjitPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.
Alexander GalluppiPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.
Saikat MannaPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.ORCID 0000-0002-0809-5695
William J HowitzDepartment of Chemistry, University of California, Irvine, Irvine, California 92697-2025, United States.ORCID 0000-0001-6323-7126
Sophia TangPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.
Aaron P Esser-KahnPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.ORCID 0000-0003-1273-0951
University of Chicago · USUniversity of California, Irvine · US

Funding

Determining the Molecular Mechanism of Covalently Linked TLR AgonistsU01AI124286 · NIAID · UNIVERSITY OF CHICAGO · PI ESSER-KAHN, AARON P · 2016 to 2020
$3.2M
NIAID NIH HHS U01 AI124286
6 · The paper itself

Abstract

We report a mechanistic study comparing the immune activation of conjugated Toll-like receptor (TLR) agonists and their unlinked mixtures. Herein, we synthesized a set of six linked dual agonists with different ligands, molecular structures, receptor locations, and biophysical characteristics. With these dimers, we ran a series of

Indexed as

AnimalsCytokinesDose-Response Relationship, DrugHeterocyclic Compounds, 3-RingKineticsLigandsLipopeptidesMiceNF-kappa BOligonucleotidesRAW 264.7 CellsToll-Like ReceptorsTumor Necrosis Factor-alphaCytokinesHeterocyclic Compounds, 3-RingLigandsLipopeptidesNF-kappa BOligonucleotidesToll-Like ReceptorsTumor Necrosis Factor-alpha

Identifiers

PMID33523635
PMCPMC8936418
OpenAlexW3127674307

What OpenQuestion holds

Textmetadata
LicenceTDM
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.