Evidence map›Paper›PMID 31083951›Full record

ArticleJournal of proteome research2019

Optimized Cross-Linking Mass Spectrometry for in Situ Interaction Proteomics.

Zheng Ser, Paolo Cifani, Alex Kentsis

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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Integrative analysis reveals unique structural and functional features of the Smc5/6 complex.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. MS Annika: A New Cross-Linking Search Engine.Journal of proteome research · 2021
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

3 authors.

Alex KentsisDepartment of Pediatrics, Pharmacology, and Physiology & Biophysics, Weill Cornell Medical College , Cornell University , New York , New York 10065 , United States.ORCID 0000-0002-8063-9191

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
ABERRANT SIGNALING IN ACUTE MYELOID LEUKEMIAR01CA204396 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KENTSIS, ALEX · 2016 to 2025
$5.2M
Structure and function of genome plasticity in human cancerR01CA214812 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KENTSIS, ALEX · 2018 to 2022
$2.5M
Multi-dimensional targeted mass spectrometry technology for pathway-scale functional proteomicsR21CA235285 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KENTSIS, ALEX · 2019 to 2021
$625k
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA204396NCI NIH HHS R01 CA214812NCI NIH HHS R21 CA235285
6 · The paper itself

Abstract

Recent development of mass spectrometer cleavable protein cross-linkers and algorithms for their spectral identification now permits large-scale cross-linking mass spectrometry (XL-MS). Here, we optimized the use of cleavable disuccinimidyl sulfoxide (DSSO) cross-linker for labeling native protein complexes in live human cells. We applied a generalized linear mixture model to calibrate cross-link peptide-spectra matching (CSM) scores to control the sensitivity and specificity of large-scale XL-MS. Using specific CSM score thresholds to control the false discovery rate, we found that higher-energy collisional dissociation (HCD) and electron transfer dissociation (ETD) can both be effective for large-scale XL-MS protein interaction mapping. We found that the coverage of protein-protein interaction maps is significantly improved through the use of multiple proteases. In addition, the use of focused sample-specific search databases can be used to improve the specificity of cross-linked peptide spectral matching. Application of this approach to human chromatin labeled in live cells recapitulated known and revealed new protein interactions of nucleosomes and other chromatin-associated complexes in situ. This optimized approach for mapping native protein interactions should be useful for a wide range of biological problems.

Indexed as

Cross-Linking ReagentsHumansIn Situ HybridizationMass SpectrometryPeptidesProtein Interaction MappingProtein Interaction MapsProteomicsCross-Linking ReagentsPeptidesBSAchromatincross-linkingdatabase searchfalse positive discoverymass spectrometryprotein−protein interactionsproteomicstarget-decoy strategy

Identifiers

PMID31083951
PMCPMC7473601

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.