Literature DB >> 26272979

Unabridged Analysis of Human Histone H3 by Differential Top-Down Mass Spectrometry Reveals Hypermethylated Proteoforms from MMSET/NSD2 Overexpression.

Yupeng Zheng1, Luca Fornelli1, Philip D Compton1, Seema Sharma2, Jesse Canterbury2, Christopher Mullen1, Vlad Zabrouskov2, Ryan T Fellers1, Paul M Thomas1, Jonathan D Licht3, Michael W Senko2, Neil L Kelleher4.   

Abstract

Histones, and their modifications, are critical components of cellular programming and epigenetic inheritance. Recently, cancer genome sequencing has uncovered driver mutations in chromatin modifying enzymes spurring high interest how such mutations change histone modification patterns. Here, we applied Top-Down mass spectrometry for the characterization of combinatorial modifications (i.e. methylation and acetylation) on full length histone H3 from human cell lines derived from multiple myeloma patients with overexpression of the histone methyltransferase MMSET as the result of a t(4;14) chromosomal translocation. Using the latest in Orbitrap-based technology for clean isolation of isobaric proteoforms containing up to 10 methylations and/or up to two acetylations, we provide extensive characterization of histone H3.1 and H3.3 proteoforms. Differential analysis of modifications by electron-based dissociation recapitulated antagonistic crosstalk between K27 and K36 methylation in H3.1, validating that full-length histone H3 (15 kDa) can be analyzed with site-specific assignments for multiple modifications. It also revealed K36 methylation in H3.3 was affected less by the overexpression of MMSET because of its higher methylation levels in control cells. The co-occurrence of acetylation with a minimum of three methyl groups in H3K9 and H3K27 suggested a hierarchy in the addition of certain modifications. Comparative analysis showed that high levels of MMSET in the myeloma-like cells drove the formation of hypermethyled proteoforms containing H3K36me2 co-existent with the repressive marks H3K9me2/3 and H3K27me2/3. Unique histone proteoforms with such "trivalent hypermethylation" (K9me2/3-K27me2/3-K36me2) were not discovered when H3.1 peptides were analyzed by Bottom-Up. Such disease-correlated proteoforms could link tightly to aberrant transcription programs driving cellular proliferation, and their precise description demonstrates that Top-Down mass spectrometry can now decode crosstalk involving up to three modified sites.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2015        PMID: 26272979      PMCID: PMC4813700          DOI: 10.1074/mcp.M115.053819

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


  66 in total

1.  Coordinated activities of wild-type plus mutant EZH2 drive tumor-associated hypertrimethylation of lysine 27 on histone H3 (H3K27) in human B-cell lymphomas.

Authors:  Christopher J Sneeringer; Margaret Porter Scott; Kevin W Kuntz; Sarah K Knutson; Roy M Pollock; Victoria M Richon; Robert A Copeland
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-15       Impact factor: 11.205

2.  High throughput characterization of combinatorial histone codes.

Authors:  Nicolas L Young; Peter A DiMaggio; Mariana D Plazas-Mayorca; Richard C Baliban; Christodoulos A Floudas; Benjamin A Garcia
Journal:  Mol Cell Proteomics       Date:  2009-08-04       Impact factor: 5.911

3.  In vivo residue-specific histone methylation dynamics.

Authors:  Barry M Zee; Rebecca S Levin; Bo Xu; Gary LeRoy; Ned S Wingreen; Benjamin A Garcia
Journal:  J Biol Chem       Date:  2009-11-23       Impact factor: 5.157

4.  Global and specific responses of the histone acetylome to systematic perturbation.

Authors:  Christian Feller; Ignasi Forné; Axel Imhof; Peter B Becker
Journal:  Mol Cell       Date:  2015-01-08       Impact factor: 17.970

5.  Bottom-up and middle-down proteomics have comparable accuracies in defining histone post-translational modification relative abundance and stoichiometry.

Authors:  Simone Sidoli; Shu Lin; Kelly R Karch; Benjamin A Garcia
Journal:  Anal Chem       Date:  2015-03-03       Impact factor: 6.986

6.  Histone H1 phosphorylation is associated with transcription by RNA polymerases I and II.

Authors:  Yupeng Zheng; Sam John; James J Pesavento; Jennifer R Schultz-Norton; R Louis Schiltz; Sonjoon Baek; Ann M Nardulli; Gordon L Hager; Neil L Kelleher; Craig A Mizzen
Journal:  J Cell Biol       Date:  2010-05-03       Impact factor: 10.539

7.  Genome-wide mapping of HATs and HDACs reveals distinct functions in active and inactive genes.

Authors:  Zhibin Wang; Chongzhi Zang; Kairong Cui; Dustin E Schones; Artem Barski; Weiqun Peng; Keji Zhao
Journal:  Cell       Date:  2009-08-20       Impact factor: 41.582

8.  Somatic mutations altering EZH2 (Tyr641) in follicular and diffuse large B-cell lymphomas of germinal-center origin.

Authors:  Ryan D Morin; Nathalie A Johnson; Tesa M Severson; Andrew J Mungall; Jianghong An; Rodrigo Goya; Jessica E Paul; Merrill Boyle; Bruce W Woolcock; Florian Kuchenbauer; Damian Yap; R Keith Humphries; Obi L Griffith; Sohrab Shah; Henry Zhu; Michelle Kimbara; Pavel Shashkin; Jean F Charlot; Marianna Tcherpakov; Richard Corbett; Angela Tam; Richard Varhol; Duane Smailus; Michelle Moksa; Yongjun Zhao; Allen Delaney; Hong Qian; Inanc Birol; Jacqueline Schein; Richard Moore; Robert Holt; Doug E Horsman; Joseph M Connors; Steven Jones; Samuel Aparicio; Martin Hirst; Randy D Gascoyne; Marco A Marra
Journal:  Nat Genet       Date:  2010-01-17       Impact factor: 38.330

9.  H3.3/H2A.Z double variant-containing nucleosomes mark 'nucleosome-free regions' of active promoters and other regulatory regions.

Authors:  Chunyuan Jin; Chongzhi Zang; Gang Wei; Kairong Cui; Weiqun Peng; Keji Zhao; Gary Felsenfeld
Journal:  Nat Genet       Date:  2009-07-26       Impact factor: 38.330

10.  The target of the NSD family of histone lysine methyltransferases depends on the nature of the substrate.

Authors:  Yan Li; Patrick Trojer; Chong-Feng Xu; Peggie Cheung; Alex Kuo; William J Drury; Qi Qiao; Thomas A Neubert; Rui-Ming Xu; Or Gozani; Danny Reinberg
Journal:  J Biol Chem       Date:  2009-10-06       Impact factor: 5.157

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  28 in total

1.  Bioinformatics Analysis of Top-Down Mass Spectrometry Data with ProSight Lite.

Authors:  Caroline J DeHart; Ryan T Fellers; Luca Fornelli; Neil L Kelleher; Paul M Thomas
Journal:  Methods Mol Biol       Date:  2017

2.  Bullet points to evaluate the performance of the middle-down proteomics workflow for histone modification analysis.

Authors:  Mariel Coradin; Mariel R Mendoza; Simone Sidoli; Andrew J Alpert; Congcong Lu; Benjamin A Garcia
Journal:  Methods       Date:  2020-02-15       Impact factor: 3.608

3.  Advancing Top-down Analysis of the Human Proteome Using a Benchtop Quadrupole-Orbitrap Mass Spectrometer.

Authors:  Luca Fornelli; Kenneth R Durbin; Ryan T Fellers; Bryan P Early; Joseph B Greer; Richard D LeDuc; Philip D Compton; Neil L Kelleher
Journal:  J Proteome Res       Date:  2016-12-02       Impact factor: 4.466

4.  Chromatographic efficiency and selectivity in top-down proteomics of histones.

Authors:  Yiyang Zhou; Ximo Zhang; Luca Fornelli; Philip D Compton; Neil Kelleher; Mary J Wirth
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2016-12-23       Impact factor: 3.205

5.  Extensive Characterization of Heavily Modified Histone Tails by 193 nm Ultraviolet Photodissociation Mass Spectrometry via a Middle-Down Strategy.

Authors:  Sylvester M Greer; Simone Sidoli; Mariel Coradin; Malena Schack Jespersen; Veit Schwämmle; Ole N Jensen; Benjamin A Garcia; Jennifer S Brodbelt
Journal:  Anal Chem       Date:  2018-08-16       Impact factor: 6.986

6.  High-throughput screening with nucleosome substrate identifies small-molecule inhibitors of the human histone lysine methyltransferase NSD2.

Authors:  Nathan P Coussens; Stephen C Kales; Mark J Henderson; Olivia W Lee; Kurumi Y Horiuchi; Yuren Wang; Qing Chen; Ekaterina Kuznetsova; Jianghong Wu; Sirisha Chakka; Dorian M Cheff; Ken Chih-Chien Cheng; Paul Shinn; Kyle R Brimacombe; Min Shen; Anton Simeonov; Madhu Lal-Nag; Haiching Ma; Ajit Jadhav; Matthew D Hall
Journal:  J Biol Chem       Date:  2018-06-26       Impact factor: 5.157

7.  Estimating the Distribution of Protein Post-Translational Modification States by Mass Spectrometry.

Authors:  Philip D Compton; Neil L Kelleher; Jeremy Gunawardena
Journal:  J Proteome Res       Date:  2018-07-10       Impact factor: 4.466

8.  Top-down/Bottom-up Mass Spectrometry Workflow Using Dissolvable Polyacrylamide Gels.

Authors:  Nobuaki Takemori; Ayako Takemori; Piriya Wongkongkathep; Michael Nshanian; Rachel R Ogorzalek Loo; Frederik Lermyte; Joseph A Loo
Journal:  Anal Chem       Date:  2017-08-02       Impact factor: 6.986

9.  Front-End Electron Transfer Dissociation Coupled to a 21 Tesla FT-ICR Mass Spectrometer for Intact Protein Sequence Analysis.

Authors:  Chad R Weisbrod; Nathan K Kaiser; John E P Syka; Lee Early; Christopher Mullen; Jean-Jacques Dunyach; A Michelle English; Lissa C Anderson; Greg T Blakney; Jeffrey Shabanowitz; Christopher L Hendrickson; Alan G Marshall; Donald F Hunt
Journal:  J Am Soc Mass Spectrom       Date:  2017-07-18       Impact factor: 3.109

10.  Proteomic approaches for cancer epigenetics research.

Authors:  Dylan M Marchione; Benjamin A Garcia; John Wojcik
Journal:  Expert Rev Proteomics       Date:  2018-11-27       Impact factor: 3.940

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