Literature DB >> 20886857

Improved strategies for rapid identification of chemically cross-linked peptides using protein interaction reporter technology.

Michael R Hoopmann1, Chad R Weisbrod, James E Bruce.   

Abstract

Protein interaction reporter (PIR) technology can enable identification of in vivo protein interactions with the use of specialized chemical cross-linkers, liquid chromatography, and high-resolution mass spectrometry. PIR-cross-linkers contain labile bonds that are specifically fragmented under low energy collision or photodissociation conditions in the mass spectrometer source, thus releasing cross-linked peptides. Successful analysis of PIR-cross-linked proteins requires the use of expected mathematical relationships between cross-linked complexes and released peptides after fragmentation of the labile PIR bonds. Presented here is a next-generation software tool, BLinks, for use in the analysis and identification of PIR-cross-linked proteins. BLinks is an advancement beyond our previous efforts by incorporation of chromatographic profiles that must match between cross-linked complexes and released peptides to enable estimation of p-values to help filter true relationships from complex data sets. Additionally, BLinks was used to incorporate Mascot database searching results from subsequent MS/MS analysis of the released peptides to facilitate identification of cross-linked proteins. BLinks was used in the analysis of human serum albumin, and 46 interpeptide relationships were found spanning 30 proximal residues with a 2.2% false discovery rate. BLinks was also used to track peptides involved in multiple, coeluting relationships that make accurate identification of protein interactions difficult. An additional 10 interpeptide relationships were identified despite poor correlation using the profiling tools provided with BLinks. Additionally, BLinks can be used to globally map all interpeptide relationships from the data analysis and customize subsequent analysis to target specific peptides of interest, thus making it a useful tool for both discovery of protein interactions and mapping protein topology.

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Year:  2010        PMID: 20886857      PMCID: PMC3018735          DOI: 10.1021/pr100572u

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  17 in total

1.  A generic protein purification method for protein complex characterization and proteome exploration.

Authors:  G Rigaut; A Shevchenko; B Rutz; M Wilm; M Mann; B Séraphin
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2.  Probability-based protein identification by searching sequence databases using mass spectrometry data.

Authors:  D N Perkins; D J Pappin; D M Creasy; J S Cottrell
Journal:  Electrophoresis       Date:  1999-12       Impact factor: 3.535

Review 3.  Protein chip technology.

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4.  Statistical significance for genomewide studies.

Authors:  John D Storey; Robert Tibshirani
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5.  Mass spectrometry identifiable cross-linking strategy for studying protein-protein interactions.

Authors:  Xiaoting Tang; Gerhard R Munske; William F Siems; James E Bruce
Journal:  Anal Chem       Date:  2005-01-01       Impact factor: 6.986

6.  Spatial mapping of protein abundances in the mouse brain by voxelation integrated with high-throughput liquid chromatography-mass spectrometry.

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7.  SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling.

Authors:  N Guex; M C Peitsch
Journal:  Electrophoresis       Date:  1997-12       Impact factor: 3.535

8.  A novel genetic system to detect protein-protein interactions.

Authors:  S Fields; O Song
Journal:  Nature       Date:  1989-07-20       Impact factor: 49.962

9.  Self-assembling protein microarrays.

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Review 10.  Probing native protein structures by chemical cross-linking, mass spectrometry, and bioinformatics.

Authors:  Alexander Leitner; Thomas Walzthoeni; Abdullah Kahraman; Franz Herzog; Oliver Rinner; Martin Beck; Ruedi Aebersold
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  16 in total

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Review 2.  Integrating mass spectrometry of intact protein complexes into structural proteomics.

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3.  Cross-linking measurements of in vivo protein complex topologies.

Authors:  Chunxiang Zheng; Li Yang; Michael R Hoopmann; Jimmy K Eng; Xiaoting Tang; Chad R Weisbrod; James E Bruce
Journal:  Mol Cell Proteomics       Date:  2011-06-22       Impact factor: 5.911

4.  Kojak: efficient analysis of chemically cross-linked protein complexes.

Authors:  Michael R Hoopmann; Alex Zelter; Richard S Johnson; Michael Riffle; Michael J MacCoss; Trisha N Davis; Robert L Moritz
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Review 5.  Protein Structural Analysis via Mass Spectrometry-Based Proteomics.

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6.  Lysine-specific chemical cross-linking of protein complexes and identification of cross-linking sites using LC-MS/MS and the xQuest/xProphet software pipeline.

Authors:  Alexander Leitner; Thomas Walzthoeni; Ruedi Aebersold
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7.  CLMSVault: A Software Suite for Protein Cross-Linking Mass-Spectrometry Data Analysis and Visualization.

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Journal:  J Proteome Res       Date:  2017-06-05       Impact factor: 4.466

Review 8.  In vivo protein complex topologies: sights through a cross-linking lens.

Authors:  James E Bruce
Journal:  Proteomics       Date:  2012-05       Impact factor: 3.984

9.  In vivo protein interaction network identified with a novel real-time cross-linked peptide identification strategy.

Authors:  Chad R Weisbrod; Juan D Chavez; Jimmy K Eng; Li Yang; Chunxiang Zheng; James E Bruce
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Review 10.  Cross-linking and mass spectrometry methodologies to facilitate structural biology: finding a path through the maze.

Authors:  Eric D Merkley; John R Cort; Joshua N Adkins
Journal:  J Struct Funct Genomics       Date:  2013-08-07
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