Literature DB >> 22550050

Mapping the structural topology of the yeast 19S proteasomal regulatory particle using chemical cross-linking and probabilistic modeling.

Athit Kao1, Arlo Randall, Yingying Yang, Vishal R Patel, Wynne Kandur, Shenheng Guan, Scott D Rychnovsky, Pierre Baldi, Lan Huang.   

Abstract

Structural characterization of proteasome complexes is an essential step toward understanding the ubiquitin-proteasome system. Currently, high resolution structures are not available for the 26S proteasome holocomplex as well as its subcomplex, the 19S regulatory particle (RP). Here we have employed a novel integrated strategy combining chemical cross-linking with multistage tandem mass spectrometry to define the proximity of subunits within the yeast 19S RP to elucidate its topology. This has resulted in the identification of 174 cross-linked peptides of the yeast 19S RP, representing 43 unique lysine-lysine linkages within 24 nonredundant pair-wise subunit interactions. To map the spatial organization of the 19S RP, we have developed and utilized a rigorous probabilistic framework to derive maximum likelihood (ML) topologies based on cross-linked peptides determined from our analysis. Probabilistic modeling of the yeast 19S AAA-ATPase ring (i.e., Rpt1-6) has produced an ML topology that is in excellent agreement with known topologies of its orthologs. In addition, similar analysis was carried out on the 19S lid subcomplex, whose predicted ML topology corroborates recently reported electron microscopy studies. Together, we have demonstrated the effectiveness and potential of probabilistic modeling for unraveling topologies of protein complexes using cross-linking data. This report describes the first study of the 19S RP topology using a new integrated strategy combining chemical cross-linking, mass spectrometry, and probabilistic modeling. Our results have provided a solid foundation to advance our understanding of the 19S RP architecture at peptide level resolution. Furthermore, our methodology developed here is a valuable proteomic tool that can be generalized for elucidating the structures of protein complexes.

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Year:  2012        PMID: 22550050      PMCID: PMC3518129          DOI: 10.1074/mcp.M112.018374

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  54 in total

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Journal:  Annu Rev Biochem       Date:  1999       Impact factor: 23.643

2.  A protein-protein interaction map of the Caenorhabditis elegans 26S proteasome.

Authors:  A Davy; P Bello; N Thierry-Mieg; P Vaglio; J Hitti; L Doucette-Stamm; D Thierry-Mieg; J Reboul; S Boulton; A J Walhout; O Coux; M Vidal
Journal:  EMBO Rep       Date:  2001-09       Impact factor: 8.807

3.  Subunit interaction maps for the regulatory particle of the 26S proteasome and the COP9 signalosome.

Authors:  H Fu; N Reis; Y Lee; M H Glickman; R D Vierstra
Journal:  EMBO J       Date:  2001-12-17       Impact factor: 11.598

4.  Quaternary structure of the ATPase complex of human 26S proteasomes determined by chemical cross-linking.

Authors:  R Hartmann-Petersen; K Tanaka; K B Hendil
Journal:  Arch Biochem Biophys       Date:  2001-02-01       Impact factor: 4.013

5.  Proteasome subunit Rpn1 binds ubiquitin-like protein domains.

Authors:  Suzanne Elsasser; Rayappa R Gali; Martin Schwickart; Christopher N Larsen; David S Leggett; Britta Müller; Matthew T Feng; Fabian Tübing; Gunnar A G Dittmar; Daniel Finley
Journal:  Nat Cell Biol       Date:  2002-09       Impact factor: 28.824

6.  Subunit order of eukaryotic TRiC/CCT chaperonin by cross-linking, mass spectrometry, and combinatorial homology modeling.

Authors:  Nir Kalisman; Christopher M Adams; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-01       Impact factor: 11.205

7.  RPN4 is a ligand, substrate, and transcriptional regulator of the 26S proteasome: a negative feedback circuit.

Authors:  Y Xie; A Varshavsky
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

8.  A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.

Authors:  P Uetz; L Giot; G Cagney; T A Mansfield; R S Judson; J R Knight; D Lockshon; V Narayan; M Srinivasan; P Pochart; A Qureshi-Emili; Y Li; B Godwin; D Conover; T Kalbfleisch; G Vijayadamodar; M Yang; M Johnston; S Fields; J M Rothberg
Journal:  Nature       Date:  2000-02-10       Impact factor: 49.962

9.  Two-hybrid analysis of the Saccharomyces cerevisiae 26S proteasome.

Authors:  G Cagney; P Uetz; S Fields
Journal:  Physiol Genomics       Date:  2001-10-10       Impact factor: 3.107

10.  High throughput protein fold identification by using experimental constraints derived from intramolecular cross-links and mass spectrometry.

Authors:  M M Young; N Tang; J C Hempel; C M Oshiro; E W Taylor; I D Kuntz; B W Gibson; G Dollinger
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

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  28 in total

1.  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

2.  Development of a Novel Sulfoxide-Containing MS-Cleavable Homobifunctional Cysteine-Reactive Cross-Linker for Studying Protein-Protein Interactions.

Authors:  Craig B Gutierrez; Sarah A Block; Clinton Yu; Stephanie M Soohoo; Alexander S Huszagh; Scott D Rychnovsky; Lan Huang
Journal:  Anal Chem       Date:  2018-06-05       Impact factor: 6.986

Review 3.  Chemical cross-linking and native mass spectrometry: A fruitful combination for structural biology.

Authors:  Andrea Sinz; Christian Arlt; Dror Chorev; Michal Sharon
Journal:  Protein Sci       Date:  2015-05-27       Impact factor: 6.725

4.  Unveiling Contacts within Macromolecular Assemblies by Solving Minimum Weight Connectivity Inference (MWC) Problems.

Authors:  Deepesh Agarwal; Christelle Caillouet; David Coudert; Frederic Cazals
Journal:  Mol Cell Proteomics       Date:  2015-04-07       Impact factor: 5.911

5.  Probing H2O2-mediated Structural Dynamics of the Human 26S Proteasome Using Quantitative Cross-linking Mass Spectrometry (QXL-MS).

Authors:  Clinton Yu; Xiaorong Wang; Alexander Scott Huszagh; Rosa Viner; Eric Novitsky; Scott D Rychnovsky; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2019-02-05       Impact factor: 5.911

Review 6.  Characterizing the dynamics of proteasome complexes by proteomics approaches.

Authors:  Robyn M Kaake; Athit Kao; Clinton Yu; Lan Huang
Journal:  Antioxid Redox Signal       Date:  2014-03-27       Impact factor: 8.401

7.  A new in vivo cross-linking mass spectrometry platform to define protein-protein interactions in living cells.

Authors:  Robyn M Kaake; Xiaorong Wang; Anthony Burke; Clinton Yu; Wynne Kandur; Yingying Yang; Eric J Novtisky; Tonya Second; Jicheng Duan; Athit Kao; Shenheng Guan; Danielle Vellucci; Scott D Rychnovsky; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2014-09-24       Impact factor: 5.911

8.  Synthesis of two new enrichable and MS-cleavable cross-linkers to define protein-protein interactions by mass spectrometry.

Authors:  Anthony M Burke; Wynne Kandur; Eric J Novitsky; Robyn M Kaake; Clinton Yu; Athit Kao; Danielle Vellucci; Lan Huang; Scott D Rychnovsky
Journal:  Org Biomol Chem       Date:  2015-05-07       Impact factor: 3.876

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

Authors:  Dan Tan; Qiang Li; Mei-Jun Zhang; Chao Liu; Chengying Ma; Pan Zhang; Yue-He Ding; Sheng-Bo Fan; Li Tao; Bing Yang; Xiangke Li; Shoucai Ma; Junjie Liu; Boya Feng; Xiaohui Liu; Hong-Wei Wang; Si-Min He; Ning Gao; Keqiong Ye; Meng-Qiu Dong; Xiaoguang Lei
Journal:  Elife       Date:  2016-03-08       Impact factor: 8.140

10.  Developing a Multiplexed Quantitative Cross-Linking Mass Spectrometry Platform for Comparative Structural Analysis of Protein Complexes.

Authors:  Clinton Yu; Alexander Huszagh; Rosa Viner; Eric J Novitsky; Scott D Rychnovsky; Lan Huang
Journal:  Anal Chem       Date:  2016-09-27       Impact factor: 6.986

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