Evidence map›Paper›PMID 42265412›Full record

ArticleMolecular systems biology2026

To cleave or not to cleave: a systemic evaluation of DSS versus DSSO for cross-linking mass spectrometry analysis.

Yong Cao, Peng-Zhi Mao, Qing-Cui Wu, Zhen-Lin Chen, Jin-Cai Yang, Yue Zhao, Adalet Memetimin, Hao Chi, Xiang-Bing Qi, Si-Min He and 1 more

Abstract read
In one paragraph

Article in Molecular systems biology, 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

11 authors.

Yong Cao *National Institute of Biological Sciences, Beijing, Beijing, China.ORCID http://orcid.org/0000-0002-5545-1111
Peng-Zhi Mao *Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China.ORCID http://orcid.org/0000-0001-8363-6087
Qing-Cui Wu *National Institute of Biological Sciences, Beijing, Beijing, China.ORCID http://orcid.org/0009-0003-6306-3818
Zhen-Lin Chen *Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China.
Jin-Cai YangNational Institute of Biological Sciences, Beijing, Beijing, China.
Yue ZhaoNational Institute of Biological Sciences, Beijing, Beijing, China.
Adalet MemetiminNational Institute of Biological Sciences, Beijing, Beijing, China.
Hao ChiKey Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China.
Xiang-Bing QiNational Institute of Biological Sciences, Beijing, Beijing, China. qixiangbing@nibs.ac.cn.ORCID http://orcid.org/0000-0002-7139-5164
Si-Min HeKey Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China. smhe@ict.ac.cn.ORCID http://orcid.org/0000-0002-2434-7194
Meng-Qiu DongNational Institute of Biological Sciences, Beijing, Beijing, China. dongmengqiu@nibs.ac.cn.ORCID http://orcid.org/0000-0002-6094-1182

Funding

MOST | National Natural Science Foundation of China (NSFC) 32071435MOST | National Natural Science Foundation of China (NSFC) 32401236MOST | National Natural Science Foundation of China (NSFC) 82225041National Science and Technology Major Project ( ) 2024ZD0530100| Natural Science Foundation of Beijing Municipality ( ) Z230020
6 · The paper itself

Abstract

Cross-linking mass spectrometry is a powerful method for structural analysis, but choosing between cleavable and non-cleavable cross-linkers remains challenging. We rigorously compared non-cleavable DSS with cleavable DSSO and found that DSS consistently yields more cross-link identifications from isolated protein complexes to bacterial lysates. The advantage of DSS diminishes as sample complexity increases. At the highest complexity tested-human cell lysate-the trend reverses, with DSSO outperforming DSS. The superior performance of DSS in less complex samples is likely explained by its longer and more flexible spacer arm, which interrogates a spatial volume >40% larger than that of DSSO. For both cross-linkers, the number of identified cross-links decreases as the search space expands, but more steeply for DSS. This sharper decline arises from DSS cross-links producing slightly lower fragment ion coverage, not from the absence of signature ions that could reduce search space. Fragment ion coverage is key to interactome mapping: when coverage reaches 85% or above, identification sensitivity hardly decreases as the search space expands, regardless of the cross-linker used. In summary, we recommend DSS for samples no more complex than bacterial lysates. For interactome mapping of mammalian cells, although DSSO outperforms DSS, neither achieves deep interactome coverage.

Indexed as

Cross-Linking ReagentsMass SpectrometrySuccinimidesHumansProtein Interaction MappingProteomicsCross-Linking ReagentsSuccinimides

Identifiers

PMID42265412
PMCPMC13538645

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.