Literature DB >> 24188097

Identification of ultramodified proteins using top-down tandem mass spectra.

Xiaowen Liu1, Shawna Hengel, Si Wu, Nikola Tolić, Ljiljana Pasa-Tolić, Pavel A Pevzner.   

Abstract

Post-translational modifications (PTMs) play an important role in various biological processes through changing protein structure and function. Some ultramodified proteins (like histones) have multiple PTMs forming PTM patterns that define the functionality of a protein. While bottom-up mass spectrometry (MS) has been successful in identifying individual PTMs within short peptides, it is unable to identify PTM patterns spreading along entire proteins in a coordinated fashion. In contrast, top-down MS analyzes intact proteins and reveals PTM patterns along the entire proteins. However, while recent advances in instrumentation have made top-down MS accessible to many laboratories, most computational tools for top-down MS focus on proteins with few PTMs and are unable to identify complex PTM patterns. We propose a new algorithm, MS-Align-E, that identifies both expected and unexpected PTMs in ultramodified proteins. We demonstrate that MS-Align-E identifies many proteoforms of histone H4 and benchmark it against the currently accepted software tools.

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Year:  2013        PMID: 24188097      PMCID: PMC3905687          DOI: 10.1021/pr400849y

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


  28 in total

1.  Automated reduction and interpretation of high resolution electrospray mass spectra of large molecules.

Authors:  D M Horn; R A Zubarev; F W McLafferty
Journal:  J Am Soc Mass Spectrom       Date:  2000-04       Impact factor: 3.109

2.  The language of covalent histone modifications.

Authors:  B D Strahl; C D Allis
Journal:  Nature       Date:  2000-01-06       Impact factor: 49.962

3.  Mutation-tolerant protein identification by mass spectrometry.

Authors:  P A Pevzner; V Dancík; C L Tang
Journal:  J Comput Biol       Date:  2000       Impact factor: 1.479

Review 4.  Mass spectrometry-based proteomics.

Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2003-03-13       Impact factor: 49.962

5.  Fast multi-blind modification search through tandem mass spectrometry.

Authors:  Seungjin Na; Nuno Bandeira; Eunok Paek
Journal:  Mol Cell Proteomics       Date:  2011-12-20       Impact factor: 5.911

6.  Protein identification using top-down.

Authors:  Xiaowen Liu; Yakov Sirotkin; Yufeng Shen; Gordon Anderson; Yihsuan S Tsai; Ying S Ting; David R Goodlett; Richard D Smith; Vineet Bafna; Pavel A Pevzner
Journal:  Mol Cell Proteomics       Date:  2011-10-25       Impact factor: 5.911

7.  Deconvolution and database search of complex tandem mass spectra of intact proteins: a combinatorial approach.

Authors:  Xiaowen Liu; Yuval Inbar; Pieter C Dorrestein; Colin Wynne; Nathan Edwards; Puneet Souda; Julian P Whitelegge; Vineet Bafna; Pavel A Pevzner
Journal:  Mol Cell Proteomics       Date:  2010-09-20       Impact factor: 5.911

Review 8.  Breaking the histone code with quantitative mass spectrometry.

Authors:  Laura-Mae P Britton; Michelle Gonzales-Cope; Barry M Zee; Benjamin A Garcia
Journal:  Expert Rev Proteomics       Date:  2011-10       Impact factor: 3.940

9.  Reorganizing the protein space at the Universal Protein Resource (UniProt).

Authors: 
Journal:  Nucleic Acids Res       Date:  2011-11-18       Impact factor: 16.971

10.  Mapping intact protein isoforms in discovery mode using top-down proteomics.

Authors:  John C Tran; Leonid Zamdborg; Dorothy R Ahlf; Ji Eun Lee; Adam D Catherman; Kenneth R Durbin; Jeremiah D Tipton; Adaikkalam Vellaichamy; John F Kellie; Mingxi Li; Cong Wu; Steve M M Sweet; Bryan P Early; Nertila Siuti; Richard D LeDuc; Philip D Compton; Paul M Thomas; Neil L Kelleher
Journal:  Nature       Date:  2011-10-30       Impact factor: 49.962

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  24 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

Review 2.  Quantitative proteomic analysis of histone modifications.

Authors:  He Huang; Shu Lin; Benjamin A Garcia; Yingming Zhao
Journal:  Chem Rev       Date:  2015-02-17       Impact factor: 60.622

3.  A mass graph-based approach for the identification of modified proteoforms using top-down tandem mass spectra.

Authors:  Qiang Kou; Si Wu; Nikola Tolic; Ljiljana Paša-Tolic; Yunlong Liu; Xiaowen Liu
Journal:  Bioinformatics       Date:  2017-05-01       Impact factor: 6.937

Review 4.  Integrating Proteomics and Targeted Metabolomics to Understand Global Changes in Histone Modifications.

Authors:  Johayra Simithy; Simone Sidoli; Benjamin A Garcia
Journal:  Proteomics       Date:  2018-04-20       Impact factor: 3.984

5.  Systematic Evaluation of Protein Sequence Filtering Algorithms for Proteoform Identification Using Top-Down Mass Spectrometry.

Authors:  Qiang Kou; Si Wu; Xiaowen Liu
Journal:  Proteomics       Date:  2018-02-06       Impact factor: 3.984

6.  A Markov Chain Monte Carlo Method for Estimating the Statistical Significance of Proteoform Identifications by Top-Down Mass Spectrometry.

Authors:  Qiang Kou; Zhe Wang; Rachele A Lubeckyj; Si Wu; Liangliang Sun; Xiaowen Liu
Journal:  J Proteome Res       Date:  2019-01-28       Impact factor: 4.466

Review 7.  Top-Down Proteomics: Ready for Prime Time?

Authors:  Bifan Chen; Kyle A Brown; Ziqing Lin; Ying Ge
Journal:  Anal Chem       Date:  2017-12-15       Impact factor: 6.986

8.  Characterization of Proteoforms with Unknown Post-translational Modifications Using the MIScore.

Authors:  Qiang Kou; Binhai Zhu; Si Wu; Charles Ansong; Nikola Tolić; Ljiljana Paša-Tolić; Xiaowen Liu
Journal:  J Proteome Res       Date:  2016-07-01       Impact factor: 4.466

9.  Top-down proteomics: challenges, innovations, and applications in basic and clinical research.

Authors:  Kyle A Brown; Jake A Melby; David S Roberts; Ying Ge
Journal:  Expert Rev Proteomics       Date:  2020-12-17       Impact factor: 3.940

10.  Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry.

Authors:  Wenrong Chen; Xiaowen Liu
Journal:  J Proteome Res       Date:  2020-11-12       Impact factor: 4.466

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