Literature DB >> 28752478

Coming to Grips with Ambiguity: Ion Mobility-Mass Spectrometry for Protein Quaternary Structure Assignment.

Joseph D Eschweiler1, Aaron T Frank1, Brandon T Ruotolo2.   

Abstract

Multiprotein complexes are central to our understanding of cellular biology, as they play critical roles in nearly every biological process. Despite many impressive advances associated with structural characterization techniques, large and highly-dynamic protein complexes are too often refractory to analysis by conventional, high-resolution approaches. To fill this gap, ion mobility-mass spectrometry (IM-MS) methods have emerged as a promising approach for characterizing the structures of challenging assemblies due in large part to the ability of these methods to characterize the composition, connectivity, and topology of large, labile complexes. In this Critical Insight, we present a series of bioinformatics studies aimed at assessing the information content of IM-MS datasets for building models of multiprotein structure. Our computational data highlights the limits of current coarse-graining approaches, and compelled us to develop an improved workflow for multiprotein topology modeling, which we benchmark against a subset of the multiprotein complexes within the PDB. This improved workflow has allowed us to ascertain both the minimal experimental restraint sets required for generation of high-confidence multiprotein topologies, and quantify the ambiguity in models where insufficient IM-MS information is available. We conclude by projecting the future of IM-MS in the context of protein quaternary structure assignment, where we predict that a more complete knowledge of the ultimate information content and ambiguity within such models will undoubtedly lead to applications for a broader array of challenging biomolecular assemblies. Graphical Abstract ᅟ.

Entities:  

Keywords:  Bioinformatics; Molecular dynamics simulations; Native mass spectrometry; Protein network; Structural proteomics

Mesh:

Substances:

Year:  2017        PMID: 28752478      PMCID: PMC5693686          DOI: 10.1007/s13361-017-1757-1

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  58 in total

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Journal:  Mol Cell Proteomics       Date:  2014-08-26       Impact factor: 5.911

6.  ProDomAs, protein domain assignment algorithm using center-based clustering and independent dominating set.

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7.  Ion mobility-mass spectrometry of a rotary ATPase reveals ATP-induced reduction in conformational flexibility.

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9.  Robotically assisted titration coupled to ion mobility-mass spectrometry reveals the interface structures and analysis parameters critical for multiprotein topology mapping.

Authors:  Yueyang Zhong; Jun Feng; Brandon T Ruotolo
Journal:  Anal Chem       Date:  2013-11-11       Impact factor: 6.986

Review 10.  Exposing the subunit diversity and modularity of protein complexes by structural mass spectrometry approaches.

Authors:  Dror S Chorev; Gili Ben-Nissan; Michal Sharon
Journal:  Proteomics       Date:  2015-04-29       Impact factor: 3.984

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  11 in total

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2.  Conditions for Analysis of Native Protein Structures Using Uniform Field Drift Tube Ion Mobility Mass Spectrometry and Characterization of Stable Calibrants for TWIM-MS.

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3.  Native Mass Spectrometry, Ion Mobility, Electron-Capture Dissociation, and Modeling Provide Structural Information for Gas-Phase Apolipoprotein E Oligomers.

Authors:  Hanliu Wang; Joseph Eschweiler; Weidong Cui; Hao Zhang; Carl Frieden; Brandon T Ruotolo; Michael L Gross
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4.  A Structural Model of the Urease Activation Complex Derived from Ion Mobility-Mass Spectrometry and Integrative Modeling.

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Authors:  Brandon T Ruotolo
Journal:  J Proteome Res       Date:  2021-11-30       Impact factor: 4.466

Review 6.  Approaches to Heterogeneity in Native Mass Spectrometry.

Authors:  Amber D Rolland; James S Prell
Journal:  Chem Rev       Date:  2021-09-01       Impact factor: 72.087

7.  Prediction of Protein Complex Structure Using Surface-Induced Dissociation and Cryo-Electron Microscopy.

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Journal:  Anal Chem       Date:  2021-05-17       Impact factor: 8.008

8.  On the Effect of Sphere-Overlap on Super Coarse-Grained Models of Protein Assemblies.

Authors:  Matteo T Degiacomi
Journal:  J Am Soc Mass Spectrom       Date:  2018-05-07       Impact factor: 3.109

9.  Predicting Protein Complex Structure from Surface-Induced Dissociation Mass Spectrometry Data.

Authors:  Justin T Seffernick; Sophie R Harvey; Vicki H Wysocki; Steffen Lindert
Journal:  ACS Cent Sci       Date:  2019-07-02       Impact factor: 14.553

10.  Collision cross-section analysis of self-assembled metallomacrocycle isomers and isobars via ion mobility mass spectrometry.

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