Evidence map›Paper›PMID 42726333›Full record

ArticleBiomolecular NMR assignments2026

Backbone and side chain

Jelena Auch, Anna Carlotta Peddinghaus, Raphael Stoll

Abstract read
In one paragraph

Article in Biomolecular NMR assignments, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jelena AuchFaculty of Chemistry and Biochemistry, Biomolecular Spectroscopy, RUBiospec|NMR, and PhenomeCentre@RUBUAR, Ruhr University of Bochum, Bochum, Germany.
Anna Carlotta PeddinghausFaculty of Chemistry and Biochemistry, Biomolecular Spectroscopy, RUBiospec|NMR, and PhenomeCentre@RUBUAR, Ruhr University of Bochum, Bochum, Germany.
Raphael StollFaculty of Chemistry and Biochemistry, Biomolecular Spectroscopy, RUBiospec|NMR, and PhenomeCentre@RUBUAR, Ruhr University of Bochum, Bochum, Germany. raphael.stoll@ruhr-uni-bochum.de.

Funding

TRD3 NMRbox: Bayesian AnalyticsP41GM111135 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2015 to 2024
$14.0M
NIGMS NIH HHS P41 GM111135
6 · The paper itself

Abstract

The cellular export of large-sized proteins, such as collagen or fibrillin, necessitates a specialized transport pathway tailored towards their size. For collagen and possibly also other bulky proteins, the Transport ANd Golgi Organization 1 (TANGO1) protein plays a substantial role in the transfer from the Endoplasmic Reticulum (ER) to the Golgi apparatus. TANGO1 and related proteins organize the ER exit sites and generate large export structures within the cytosol while anchored to the ER membrane. In contrast to other proteins involved, TANGO1 features a folded domain in the ER lumen, which seems to be central for detecting cargos. This cargo-recognition domain has been shown to bind the collagen-specific chaperone HSP47 (Ishikawa et al. 2016) as well as type IV collagen directly (Arnolds and Stoll 2023). However, the exact molecular mechanism of these interactions remains unknown. The resonance assignments presented here lay the foundation for the experiments studying the binding process on a molecular level and is designed to facilitate investigations into how TANGO1 detects and selects the cargos to be exported.

Indexed as

Aryl Hydrocarbon Receptor Nuclear TranslocatorNuclear Magnetic Resonance, BiomolecularHumansNitrogen IsotopesProtein DomainsARNT protein, humanAryl Hydrocarbon Receptor Nuclear TranslocatorNitrogen-15Nitrogen IsotopesAssignmentsMOTH domainsNMRProtein transportTANGO1 protein

Identifiers

PMID42726333
PMCPMC13569592

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.