Evidence map›Paper›PMID 38147001›Full record

ArticleJournal of proteome research2024

Multidimensional Cross-Linking and Real-Time Informatics for Multiprotein Interaction Studies.

Jared P Mohr, Arianne Caudal, Rong Tian, James E Bruce

Abstract read
In one paragraph

Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  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

4 authors.

Jared P MohrDepartment of Genome Sciences, University of Washington, Seattle, Washington 98105, United States.
Arianne CaudalDepartment of Biochemistry, University of Washington, Seattle, Washington 98105, United States.
Rong TianDepartment of Biochemistry, University of Washington, Seattle, Washington 98105, United States.
James E BruceDepartment of Genome Sciences, University of Washington, Seattle, Washington 98105, United States.ORCID 0000-0001-6441-6089

Funding

Dynamics of the cellular interactomeR35GM136255 · NIGMS · UNIVERSITY OF WASHINGTON · PI James Edward Bruce · 2020 to 2026
$4.0M
The heart failure interactomeR01HL144778 · NHLBI · UNIVERSITY OF WASHINGTON · PI BRUCE, JAMES EDWARD · 2019 to 2022
$2.7M
Mitochondrial function and glycolytic switch in pathological cardiac hypertrophyR01HL142628 · NHLBI · UNIVERSITY OF WASHINGTON · PI TIAN, RONG · 2018 to 2021
$2.4M
NHLBI NIH HHS R01 HL142628NHLBI NIH HHS R01 HL144778NIGMS NIH HHS R35 GM136255
6 · The paper itself

Abstract

Chemical cross-linking combined with mass spectrometry is a technique used to study protein structures and identify protein complexes. Traditionally, chemical cross-linkers contain two reactive groups, allowing them to covalently bond a pair of proximal residues, either within a protein or between two proteins. The output of a cross-linking experiment is a list of interacting site pairs that provide structural constraints for modeling of new structures and complexes. Due to the binary reactive nature of cross-linking reagents, only pairs of interacting sites can be directly observed, and assembly of higher-order structures typically requires prior knowledge of complex composition or iterative docking to produce a putative model. Here, we describe a new tetrameric cross-linker bearing four amine-reactive groups, allowing it to covalently link up to four proteins simultaneously and a real-time instrument method to facilitate the identification of these tetrameric cross-links. We applied this new cross-linker to isolated mitochondria and identified a number of higher-order cross-links in various OXPHOS complexes and ATP synthase, demonstrating its utility in characterizing complex interfaces. We also show that higher-order cross-links can be used to effectively filter models of large protein assemblies generated by using Alphafold. Higher-dimensional cross-linking provides a new avenue for characterizing multiple protein interfaces, even in complex samples such as intact mitochondria.

Indexed as

AminesProteinsCross-Linking ReagentsInformaticsMass SpectrometryAminesCross-Linking ReagentsProteinsadaptive instrument controlcross-linkingintelligent data acquisitionmitochondriaprotein modelingprotein−protein interactions

Identifiers

PMID38147001
PMCPMC10906106

What OpenQuestion holds

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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.