Evidence map›Paper›PMID 26952210›Full record

ArticleeLife2016

Trifunctional cross-linker for mapping protein-protein interaction networks and comparing protein conformational states.

Dan Tan, Qiang Li, Mei-Jun Zhang, Chao Liu, Chengying Ma, Pan Zhang, Yue-He Ding, Sheng-Bo Fan, Li Tao, Bing Yang and 11 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
9.7field-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

61 citing papers in PubMed, 139 citations in OpenAlex.

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  10. Analysis ofComputational and structural biotechnology journal · 2024
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1 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

21 authors at 6 institutions in 1 country.

Dan TanGraduate Program, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Qiang LiNational Institute of Biological Sciences, Beijing, China.
Mei-Jun ZhangNational Institute of Biological Sciences, Beijing, China.
Chao LiuKey Lab of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Chengying MaMinistry of Education Key Laboratory of Protein Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Pan ZhangGraduate Program, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Yue-He DingGraduate Program, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Sheng-Bo FanKey Lab of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Li TaoGraduate Program, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Bing YangNational Institute of Biological Sciences, Beijing, China.
Xiangke LiNational Institute of Biological Sciences, Beijing, China.
Shoucai MaNational Institute of Biological Sciences, Beijing, China.
Junjie LiuMinistry of Education Key Laboratory of Protein Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Boya FengMinistry of Education Key Laboratory of Protein Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Xiaohui LiuNational Institute of Biological Sciences, Beijing, China.
Hong-Wei WangMinistry of Education Key Laboratory of Protein Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Si-Min HeKey Lab of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Ning GaoMinistry of Education Key Laboratory of Protein Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Keqiong YeNational Institute of Biological Sciences, Beijing, China.
Meng-Qiu DongGraduate Program, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Xiaoguang LeiNational Institute of Biological Sciences, Beijing, China.
National Institute of Biological Sciences, Beijing · CNTsinghua University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNInstitute of Computing Technology · CNCenter for Life Sciences · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve chemical cross-linking of proteins coupled with mass spectrometry (CXMS), we developed a lysine-targeted enrichable cross-linker containing a biotin tag for affinity purification, a chemical cleavage site to separate cross-linked peptides away from biotin after enrichment, and a spacer arm that can be labeled with stable isotopes for quantitation. By locating the flexible proteins on the surface of 70S ribosome, we show that this trifunctional cross-linker is effective at attaining structural information not easily attainable by crystallography and electron microscopy. From a crude Rrp46 immunoprecipitate, it helped identify two direct binding partners of Rrp46 and 15 protein-protein interactions (PPIs) among the co-immunoprecipitated exosome subunits. Applying it to E. coli and C. elegans lysates, we identified 3130 and 893 inter-linked lysine pairs, representing 677 and 121 PPIs. Using a quantitative CXMS workflow we demonstrate that it can reveal changes in the reactivity of lysine residues due to protein-nucleic acid interaction.

Indexed as

Protein Interaction MapsAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsCross-Linking ReagentsEscherichia coliEscherichia coli ProteinsProtein ConformationProtein Interaction MappingRibosomesCaenorhabditis elegans ProteinsCross-Linking ReagentsEscherichia coli Proteins70S ribosomebiophysicscross-linkingexosome<i>c. elegans</i><i>e. coli</i>mass spectrometryprotein-protein interactionsprotein structurestructural biology

Identifiers

PMID26952210
PMCPMC4811778
OpenAlexW2312220336

What OpenQuestion holds

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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.