Evidence map›Paper›PMID 25664544›Full record

ArticleNature methods2015

Mapping native disulfide bonds at a proteome scale.

Shan Lu, Sheng-Bo Fan, Bing Yang, Yu-Xin Li, Jia-Ming Meng, Long Wu, Pin Li, Kun Zhang, Mei-Jun Zhang, Yan Fu and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
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

71 citing papers in PubMed, 172 citations in OpenAlex.

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11 more citing papers are in PubMed but not listed here.

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

14 authors at 6 institutions in 1 country.

Shan Lu1] College of Life Science, Beijing Normal University, Beijing, China. [2] National Institute of Biological Sciences, Beijing, China.
Sheng-Bo Fan1] Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China. [2] University of Chinese Academy of Sciences, Beijing, China.
Bing YangNational Institute of Biological Sciences, Beijing, China.
Yu-Xin LiNational Institute of Biological Sciences, Beijing, China.
Jia-Ming Meng1] Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China. [2] University of Chinese Academy of Sciences, Beijing, China.
Long Wu1] Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China. [2] University of Chinese Academy of Sciences, Beijing, China.
Pin LiInstitute of Molecular Medicine, Peking University, Beijing, China.
Kun Zhang1] Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China. [2] University of Chinese Academy of Sciences, Beijing, China.
Mei-Jun ZhangNational Institute of Biological Sciences, Beijing, China.
Yan FuNational Center for Mathematics and Interdisciplinary Sciences, Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, CAS, Beijing, China.
Jincai LuoInstitute of Molecular Medicine, Peking University, Beijing, China.
Rui-Xiang SunKey Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China.
Si-Min HeKey Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China.
Meng-Qiu Dong1] College of Life Science, Beijing Normal University, Beijing, China. [2] National Institute of Biological Sciences, Beijing, China.
National Institute of Biological Sciences, Beijing · CNChinese Academy of Sciences · CNInstitute of Computing Technology · CNPeking University · CNBeijing Normal University · CNNational Center for Mathematics and Interdisciplinary Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a high-throughput mass spectrometry method, pLink-SS (http://pfind.ict.ac.cn/software/pLink/2014/pLink-SS.html), for precise identification of disulfide-linked peptides. Using pLink-SS, we mapped all native disulfide bonds of a monoclonal antibody and ten standard proteins. We performed disulfide proteome analyses and identified 199 disulfide bonds in Escherichia coli and 568 in proteins secreted by human endothelial cells. We discovered many regulatory disulfide bonds involving catalytic or metal-binding cysteine residues.

Indexed as

Mass SpectrometryAmino Acid SequenceDisulfidesEscherichia coliHumansModels, MolecularMolecular Sequence DataPeptide LibraryProteomeProteomicsRibonucleasesDisulfidesPeptide LibraryProteomeRibonucleases

Identifiers

PMID25664544
OpenAlexW2070044793

What OpenQuestion holds

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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.