Literature DB >> 30520642

Tools for 3D Interactome Visualization.

Andrew Keller1, Juan D Chavez1, Jimmy K Eng1, Zorian Thornton1, James E Bruce1.   

Abstract

In cells, intra- and intermolecular interactions of proteins confer function, and the dynamic modulation of this interactome is critical to meet the changing needs required to support life. Cross-linking and mass spectrometry (XL-MS) enable the detection of both intra- and intermolecular protein interactions in organelles, cells, tissues, and organs. Quantitative XL-MS enables the detection of interactome changes in cells due to environmental, phenotypic, pharmacological, or genetic perturbations. We have developed new informatics capabilities, the first to enable 3D visualization of multiple quantitative interactome data sets, acquired over time or with varied perturbation levels, to reveal relevant dynamic interactome changes. These new tools are integrated within release 3.0 of our online cross-linked peptide database and analysis tool suite XLinkDB. With the recent rapid expansion in XL-MS for protein structural studies and the extension to quantitative XL-MS measurements, 3D interactome visualization tools are of critical need.

Entities:  

Keywords:  cross-link database; cross-linking; dynamic interactome; heatmap; interaction surfaces; interactome movies; mass spectrometry; protein complexes; protein interaction networks; quantitative proteomics

Mesh:

Substances:

Year:  2018        PMID: 30520642      PMCID: PMC6519740          DOI: 10.1021/acs.jproteome.8b00703

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


  20 in total

1.  A statistical model for identifying proteins by tandem mass spectrometry.

Authors:  Alexey I Nesvizhskii; Andrew Keller; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2003-09-01       Impact factor: 6.986

2.  Identification of protein-protein interactions and topologies in living cells with chemical cross-linking and mass spectrometry.

Authors:  Haizhen Zhang; Xiaoting Tang; Gerhard R Munske; Nikola Tolic; Gordon A Anderson; James E Bruce
Journal:  Mol Cell Proteomics       Date:  2008-10-20       Impact factor: 5.911

3.  Increased sensitivity with automated validation of XL-MS cleavable peptide crosslinks.

Authors:  Andrew Keller; Juan D Chavez; James E Bruce
Journal:  Bioinformatics       Date:  2019-03-01       Impact factor: 6.937

4.  XLinkDB 2.0: integrated, large-scale structural analysis of protein crosslinking data.

Authors:  Devin K Schweppe; Chunxiang Zheng; Juan D Chavez; Arti T Navare; Xia Wu; Jimmy K Eng; James E Bruce
Journal:  Bioinformatics       Date:  2016-04-29       Impact factor: 6.937

5.  Development of a novel cross-linking strategy for fast and accurate identification of cross-linked peptides of protein complexes.

Authors:  Athit Kao; Chi-li Chiu; Danielle Vellucci; Yingying Yang; Vishal R Patel; Shenheng Guan; Arlo Randall; Pierre Baldi; Scott D Rychnovsky; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2010-08-24       Impact factor: 5.911

6.  In Vivo Conformational Dynamics of Hsp90 and Its Interactors.

Authors:  Juan D Chavez; Devin K Schweppe; Jimmy K Eng; James E Bruce
Journal:  Cell Chem Biol       Date:  2016-06-23       Impact factor: 8.116

7.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

8.  Design of CID-cleavable protein cross-linkers: identical mass modifications for simpler sequence analysis.

Authors:  Wynne V Kandur; Athit Kao; Danielle Vellucci; Lan Huang; Scott D Rychnovsky
Journal:  Org Biomol Chem       Date:  2015-10-14       Impact factor: 3.876

9.  Structural prediction of protein models using distance restraints derived from cross-linking mass spectrometry data.

Authors:  Zsuzsanna Orbán-Németh; Rebecca Beveridge; David M Hollenstein; Evelyn Rampler; Thomas Stranzl; Otto Hudecz; Johannes Doblmann; Peter Schlögelhofer; Karl Mechtler
Journal:  Nat Protoc       Date:  2018-02-08       Impact factor: 13.491

10.  Developing new isotope-coded mass spectrometry-cleavable cross-linkers for elucidating protein structures.

Authors:  Clinton Yu; Wynne Kandur; Athit Kao; Scott Rychnovsky; Lan Huang
Journal:  Anal Chem       Date:  2014-02-06       Impact factor: 6.986

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  11 in total

1.  Mitochondrial protein interaction landscape of SS-31.

Authors:  Juan D Chavez; Xiaoting Tang; Matthew D Campbell; Gustavo Reyes; Philip A Kramer; Rudy Stuppard; Andrew Keller; Huiliang Zhang; Peter S Rabinovitch; David J Marcinek; James E Bruce
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-17       Impact factor: 11.205

2.  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

3.  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

4.  Multiplexed Cross-Linking with Isobaric Quantitative Protein Interaction Reporter Technology.

Authors:  Juan D Chavez; Andrew Keller; Helisa H Wippel; Jared P Mohr; James E Bruce
Journal:  Anal Chem       Date:  2021-12-09       Impact factor: 8.008

Review 5.  Applications and advancements of FT-ICR-MS for interactome studies.

Authors:  Juan D Chavez; Sung-Gun Park; Jared P Mohr; James E Bruce
Journal:  Mass Spectrom Rev       Date:  2020-12-08       Impact factor: 10.946

6.  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 7.  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

8.  Deciphering the architecture and interactome of hnRNP proteins and enigmRBPs.

Authors:  Helisa H Wippel; Mariana Fioramonte; Juan D Chavez; James E Bruce
Journal:  Mol Omics       Date:  2021-08-09

9.  Cellular Interactome Dynamics during Paclitaxel Treatment.

Authors:  Juan D Chavez; Andrew Keller; Bo Zhou; Rong Tian; James E Bruce
Journal:  Cell Rep       Date:  2019-11-19       Impact factor: 9.423

Review 10.  Interrogating Host Antiviral Environments Driven by Nuclear DNA Sensing: A Multiomic Perspective.

Authors:  Timothy R Howard; Ileana M Cristea
Journal:  Biomolecules       Date:  2020-11-24
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