Evidence map›Paper›PMID 31267744›Full record

ArticleJournal of proteome research2019

Prediction of an Upper Limit for the Fraction of Interprotein Cross-Links in Large-Scale In Vivo Cross-Linking Studies.

Andrew Keller, Juan D Chavez, Kevin C Felt, James E Bruce

Abstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

4 authors.

Andrew KellerDepartment of Genome Sciences , University of Washington , Seattle , Washington 98195 United States.
Juan D ChavezDepartment of Genome Sciences , University of Washington , Seattle , Washington 98195 United States.
Kevin C FeltDepartment of Genome Sciences , University of Washington , Seattle , Washington 98195 United States.
James E BruceDepartment of Genome Sciences , University of Washington , Seattle , Washington 98195 United States.ORCID 0000-0001-6441-6089

Funding

Protein Interaction Technology CoreU19AI107775 · NIAID · UNIVERSITY OF WASHINGTON · PI HARWOOD, CAROLINE STONE · 2013 to 2017
$7.7M
NAD+/NADH ratio, protein acetylation and mitochondrial functionR01HL110349 · NHLBI · UNIVERSITY OF WASHINGTON · PI TIAN, RONG · 2011 to 2020
$5.7M
Quantitation of protein interactions in cancer cellsR01GM086688 · NIGMS · UNIVERSITY OF WASHINGTON · PI BRUCE, JAMES EDWARD · 2009 to 2019
$4.2M
Investigating treatment resistance mechanisms in chronic bacterial infectionsR01AI101307 · NIAID · UNIVERSITY OF WASHINGTON · PI BRUCE, JAMES EDWARD, MANOIL, COLIN · 2012 to 2016
$2.9M
Instrumentation Development: MS Array for Quantitative ProteomicsR01GM097112 · NIGMS · UNIVERSITY OF WASHINGTON · PI BRUCE, JAMES EDWARD · 2011 to 2020
$2.9M
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 HL110349NHLBI NIH HHS R01 HL142628NHLBI NIH HHS R01 HL144778NIAID NIH HHS R01 AI101307NIAID NIH HHS U19 AI107775NIGMS NIH HHS R01 GM086688NIGMS NIH HHS R01 GM097112
6 · The paper itself

Abstract

Chemical cross-linking and mass spectrometry is of growing use for establishment of distance constraints on protein conformations and interactions. Whereas intraprotein cross-links can arise from proteins in isolation, interprotein cross-links reflect proximity of two interacting proteins in the sample. Prediction of expected ratios of the number of interprotein to intraprotein cross-links is hindered by lacking comprehensive knowledge on the interactome network and global occupancy levels for all interacting complex subunits. Here we determine the theoretical number of possible inter- and intraprotein cross-links in available PDB structures of proteins bound in complexes to predict a maximum expected fraction of interprotein cross-links in large scale in vivo cross-linking studies. We show how the maximum fraction can guide interpretation of reported interprotein fractions with respect to the extent of sample protein binding, comparing whole cell and lysate cross-linked samples as an example. We also demonstrate how an observation of interprotein cross-link fractions greater than the maximum value can result from the presence of false positive cross-links which are predominantly interprotein, their number estimable from the observed surplus fraction of interprotein cross-links.

Indexed as

Models, MolecularProtein ConformationCross-Linking ReagentsDatabases, ProteinProtein BindingProtein Interaction MappingProtein Interaction MapsProteinsCross-Linking ReagentsProteinscross-linker spancross-linkingDSSOextent of bindingFDR lower boundinteractomicsmass spectrometrymaximum interproteinPIRquality check

Identifiers

PMID31267744
PMCPMC6777711

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.