Evidence map›Paper›PMID 41387687›Full record

ArticleNature communications2025

Cysteine-enabled cleavability to advance cross-linking mass spectrometry for global analysis of endogenous protein-protein interactions.

Fenglong Jiao, Merav Braitbard, Clinton Yu, Ben Shor, Bjorn-Erik Wulff, Dina Schneidman-Duhovny, Lan Huang

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Fenglong JiaoDepartment of Physiology and Biophysics, University of California, Irvine, CA, USA.
Merav BraitbardThe Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Clinton YuDepartment of Physiology and Biophysics, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-2931-5474
Ben ShorThe Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Bjorn-Erik WulffDepartment of Biochemistry, Stanford University, Stanford, CA, USA.
Dina Schneidman-DuhovnyThe Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel. dina.schneidman@mail.huji.ac.il.
Lan HuangDepartment of Physiology and Biophysics, University of California, Irvine, CA, USA. lanhuang@uci.edu.ORCID http://orcid.org/0000-0002-3140-4687

Funding

Supplement: Advancing Proteomics Technologies to Decipher the Ubiquitin-Proteasome SystemR35GM145249 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI Lan Huang · 2022 to 2026
$3.2M
NIGMS NIH HHS R35 GM145249U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM145249
6 · The paper itself

Abstract

Cross-linking mass spectrometry (XL-MS) is a powerful technology for probing protein-protein interactions (PPIs) and elucidating architectures of protein complexes at the systems level. While successful, the proteome coverage remains limited. To expand the scope of global PPI profiling, we introduce an innovative cysteine-based cleavable XL-MS platform using non-cleavable heterobifunctional lysine-cysteine (K-C) cross-linkers. The oxidation-induced transformation of cysteine cleavability enables unambiguous identification of cross-linked peptides. This strategy has been successfully applied to proteome-wide XL-MS analysis of intact cells, and its broad applicability has been demonstrated using three heterobifunctional cross-linkers. A total of 25,401 unique linkages from 2007 proteins have been identified, significantly expanding the existing XL-PPI map and increasing the interconnectivity of the human interactome. The XL-data generated here has been coupled with AlphaFold-based predictions and integrative modeling to reveal the structural characteristics of cellular networks, offering insights into the organization of native protein complexes in cells including the SERBP1-ribosome and eEF1A1-eEF1B complexes. Due to the effectiveness in modulating cysteine cleavability, our work presents an avenue for developing bifunctional/multifunctional cross-linking reagents to further advance XL-MS technologies. Additionally, the same strategy can be easily adapted to facilitate the characterization of cysteine modifications, reactivity and interactions to benefit chemical proteomics.

Indexed as

Cross-Linking ReagentsCysteineMass SpectrometryProtein Interaction MappingHumansLysineOxidation-ReductionProtein Interaction MapsProteomeProteomicsCross-Linking ReagentsCysteineLysineProteome

Identifiers

PMID41387687
PMCPMC12701074

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Registered trials

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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.