Evidence map›Paper›PMID 37491993›Full record

ArticleTraffic (Copenhagen, Denmark)2023

Anterograde trafficking of Toll-like receptors requires the cargo sorting adaptors TMED-2 and 7.

Julia E J Holm, Sandro G Soares, Martyn F Symmons, Afiqah Saleh Huddin, Martin C Moncrieffe, Nicholas J Gay

Open access · hybridAbstract read
In one paragraph

Article in Traffic (Copenhagen, Denmark), 2023. 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
0.4field-weighted citation impact, top 36% 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, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Julia E J HolmDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Sandro G SoaresDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Martyn F SymmonsDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Afiqah Saleh HuddinDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Martin C MoncrieffeDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Nicholas J GayDepartment of Biochemistry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-2782-7169
University of Cambridge · GB

Funding

Wellcome TrustWellcome Trust WT100321/z/12/Z
6 · The paper itself

Abstract

Toll-Like Receptors (TLRs) play a pivotal role in immunity by recognising conserved structural features of pathogens and initiating the innate immune response. TLR signalling is subject to complex regulation that remains poorly understood. Here we show that two small type I transmembrane receptors, TMED2 and 7, that function as cargo sorting adaptors in the early secretory pathway are required for transport of TLRs from the ER to Golgi. Protein interaction studies reveal that TMED7 interacts with TLR2, TLR4 and TLR5 but not with TLR3 and TLR9. On the other hand, TMED2 interacts with TLR2, TLR4 and TLR3. Dominant negative forms of TMED7 suppress the export of cell surface TLRs from the ER to the Golgi. By contrast TMED2 is required for the ER-export of both plasma membrane and endosomal TLRs. Together, these findings suggest that association of TMED2 and TMED7 with TLRs facilitates anterograde transport from the ER to the Golgi.

Indexed as

Toll-Like Receptor 2Toll-Like Receptor 4Protein TransportToll-Like Receptor 3Toll-Like ReceptorsToll-Like Receptor 2Toll-Like Receptor 3Toll-Like Receptor 4Toll-Like ReceptorsCOP-coated vesiclesendoplasmic reticulump24protein transportTLRs

Identifiers

PMID37491993
PMCPMC10946956
OpenAlexW4385264874

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.