Literature DB >> 31267744

Prediction of an Upper Limit for the Fraction of Interprotein Cross-Links in Large-Scale In Vivo Cross-Linking Studies.

Andrew Keller1, Juan D Chavez1, Kevin C Felt1, James E Bruce1.   

Abstract

Chemical cross-linking and mass spectrometry is of growing use for establishment of distance constraints on protein conformations and interactions. Whereas intraprotein cross-links can arise from proteins in isolation, interprotein cross-links reflect proximity of two interacting proteins in the sample. Prediction of expected ratios of the number of interprotein to intraprotein cross-links is hindered by lacking comprehensive knowledge on the interactome network and global occupancy levels for all interacting complex subunits. Here we determine the theoretical number of possible inter- and intraprotein cross-links in available PDB structures of proteins bound in complexes to predict a maximum expected fraction of interprotein cross-links in large scale in vivo cross-linking studies. We show how the maximum fraction can guide interpretation of reported interprotein fractions with respect to the extent of sample protein binding, comparing whole cell and lysate cross-linked samples as an example. We also demonstrate how an observation of interprotein cross-link fractions greater than the maximum value can result from the presence of false positive cross-links which are predominantly interprotein, their number estimable from the observed surplus fraction of interprotein cross-links.

Entities:  

Keywords:  DSSO; FDR lower bound; PIR; cross-linker span; cross-linking; extent of binding; interactomics; mass spectrometry; maximum interprotein; quality check

Year:  2019        PMID: 31267744      PMCID: PMC6777711          DOI: 10.1021/acs.jproteome.9b00189

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


  37 in total

1.  Quantitative evaluation of the lengths of homobifunctional protein cross-linking reagents used as molecular rulers.

Authors:  N S Green; E Reisler; K N Houk
Journal:  Protein Sci       Date:  2001-07       Impact factor: 6.725

2.  False discovery rate estimation for cross-linked peptides identified by mass spectrometry.

Authors:  Thomas Walzthoeni; Manfred Claassen; Alexander Leitner; Franz Herzog; Stefan Bohn; Friedrich Förster; Martin Beck; Ruedi Aebersold
Journal:  Nat Methods       Date:  2012-07-08       Impact factor: 28.547

3.  Proteome-wide profiling of protein assemblies by cross-linking mass spectrometry.

Authors:  Fan Liu; Dirk T S Rijkers; Harm Post; Albert J R Heck
Journal:  Nat Methods       Date:  2015-09-28       Impact factor: 28.547

Review 4.  XL-MS: Protein cross-linking coupled with mass spectrometry.

Authors:  Andrew N Holding
Journal:  Methods       Date:  2015-06-12       Impact factor: 3.608

5.  Distance restraints from crosslinking mass spectrometry: mining a molecular dynamics simulation database to evaluate lysine-lysine distances.

Authors:  Eric D Merkley; Steven Rysavy; Abdullah Kahraman; Ryan P Hafen; Valerie Daggett; Joshua N Adkins
Journal:  Protein Sci       Date:  2014-04-03       Impact factor: 6.725

6.  A census of human soluble protein complexes.

Authors:  Pierre C Havugimana; G Traver Hart; Tamás Nepusz; Haixuan Yang; Andrei L Turinsky; Zhihua Li; Peggy I Wang; Daniel R Boutz; Vincent Fong; Sadhna Phanse; Mohan Babu; Stephanie A Craig; Pingzhao Hu; Cuihong Wan; James Vlasblom; Vaqaar-un-Nisa Dar; Alexandr Bezginov; Gregory W Clark; Gabriel C Wu; Shoshana J Wodak; Elisabeth R M Tillier; Alberto Paccanaro; Edward M Marcotte; Andrew Emili
Journal:  Cell       Date:  2012-08-31       Impact factor: 41.582

Review 7.  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
Journal:  Mol Cell Proteomics       Date:  2010-03-31       Impact factor: 5.911

8.  Quirks of Error Estimation in Cross-Linking/Mass Spectrometry.

Authors:  Lutz Fischer; Juri Rappsilber
Journal:  Anal Chem       Date:  2017-03-24       Impact factor: 6.986

9.  Chemical Crosslinking Mass Spectrometry Analysis of Protein Conformations and Supercomplexes in Heart Tissue.

Authors:  Juan D Chavez; Chi Fung Lee; Arianne Caudal; Andrew Keller; Rong Tian; James E Bruce
Journal:  Cell Syst       Date:  2017-11-29       Impact factor: 10.304

10.  RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy.

Authors:  Stephen K Burley; Helen M Berman; Charmi Bhikadiya; Chunxiao Bi; Li Chen; Luigi Di Costanzo; Cole Christie; Ken Dalenberg; Jose M Duarte; Shuchismita Dutta; Zukang Feng; Sutapa Ghosh; David S Goodsell; Rachel K Green; Vladimir Guranovic; Dmytro Guzenko; Brian P Hudson; Tara Kalro; Yuhe Liang; Robert Lowe; Harry Namkoong; Ezra Peisach; Irina Periskova; Andreas Prlic; Chris Randle; Alexander Rose; Peter Rose; Raul Sala; Monica Sekharan; Chenghua Shao; Lihua Tan; Yi-Ping Tao; Yana Valasatava; Maria Voigt; John Westbrook; Jesse Woo; Huanwang Yang; Jasmine Young; Marina Zhuravleva; Christine Zardecki
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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  8 in total

1.  MaXLinker: Proteome-wide Cross-link Identifications with High Specificity and Sensitivity.

Authors:  Kumar Yugandhar; Ting-Yi Wang; Alden King-Yung Leung; Michael Charles Lanz; Ievgen Motorykin; Jin Liang; Elnur Elyar Shayhidin; Marcus Bustamante Smolka; Sheng Zhang; Haiyuan Yu
Journal:  Mol Cell Proteomics       Date:  2019-12-15       Impact factor: 5.911

2.  Improved Interpretation of Protein Conformational Differences and Ligand Occupancy in Large-Scale Cross-Link Data.

Authors:  Andrew Keller; Anna A Bakhtina; Juan D Chavez; James E Bruce
Journal:  J Proteome Res       Date:  2022-05-20       Impact factor: 5.370

3.  Parallel Detection of Fundamental and Sixth Harmonic Signals Using an ICR Cell with Dipole and Sixth Harmonic Detectors.

Authors:  Sung-Gun Park; Gordon A Anderson; James E Bruce
Journal:  J Am Soc Mass Spectrom       Date:  2020-01-30       Impact factor: 3.109

4.  Leveraging the Entirety of the Protein Data Bank to Enable Improved Structure Prediction Based on Cross-Link Data.

Authors:  Andrew Keller; Juan D Chavez; Xiaoting Tang; James E Bruce
Journal:  J Proteome Res       Date:  2020-12-02       Impact factor: 4.466

Review 5.  In-Cell Labeling and Mass Spectrometry for Systems-Level Structural Biology.

Authors:  Juan D Chavez; Helisa H Wippel; Xiaoting Tang; Andrew Keller; James E Bruce
Journal:  Chem Rev       Date:  2021-07-07       Impact factor: 72.087

6.  Mimicked synthetic ribosomal protein complex for benchmarking crosslinking mass spectrometry workflows.

Authors:  Manuel Matzinger; Adrian Vasiu; Mathias Madalinski; Fränze Müller; Florian Stanek; Karl Mechtler
Journal:  Nat Commun       Date:  2022-07-08       Impact factor: 17.694

7.  Reliable identification of protein-protein interactions by crosslinking mass spectrometry.

Authors:  Swantje Lenz; Ludwig R Sinn; Francis J O'Reilly; Lutz Fischer; Fritz Wegner; Juri Rappsilber
Journal:  Nat Commun       Date:  2021-06-11       Impact factor: 14.919

Review 8.  Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS).

Authors:  Umesh Kalathiya; Monikaben Padariya; Jakub Faktor; Etienne Coyaud; Javier A Alfaro; Robin Fahraeus; Ted R Hupp; David R Goodlett
Journal:  Biomolecules       Date:  2021-03-04
  8 in total

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