Literature DB >> 26598644

MASH Suite Pro: A Comprehensive Software Tool for Top-Down Proteomics.

Wenxuan Cai1, Huseyin Guner2, Zachery R Gregorich1, Albert J Chen3, Serife Ayaz-Guner3, Ying Peng3, Santosh G Valeja3, Xiaowen Liu4, Ying Ge5.   

Abstract

Top-down mass spectrometry (MS)-based proteomics is arguably a disruptive technology for the comprehensive analysis of all proteoforms arising from genetic variation, alternative splicing, and posttranslational modifications (PTMs). However, the complexity of top-down high-resolution mass spectra presents a significant challenge for data analysis. In contrast to the well-developed software packages available for data analysis in bottom-up proteomics, the data analysis tools in top-down proteomics remain underdeveloped. Moreover, despite recent efforts to develop algorithms and tools for the deconvolution of top-down high-resolution mass spectra and the identification of proteins from complex mixtures, a multifunctional software platform, which allows for the identification, quantitation, and characterization of proteoforms with visual validation, is still lacking. Herein, we have developed MASH Suite Pro, a comprehensive software tool for top-down proteomics with multifaceted functionality. MASH Suite Pro is capable of processing high-resolution MS and tandem MS (MS/MS) data using two deconvolution algorithms to optimize protein identification results. In addition, MASH Suite Pro allows for the characterization of PTMs and sequence variations, as well as the relative quantitation of multiple proteoforms in different experimental conditions. The program also provides visualization components for validation and correction of the computational outputs. Furthermore, MASH Suite Pro facilitates data reporting and presentation via direct output of the graphics. Thus, MASH Suite Pro significantly simplifies and speeds up the interpretation of high-resolution top-down proteomics data by integrating tools for protein identification, quantitation, characterization, and visual validation into a customizable and user-friendly interface. We envision that MASH Suite Pro will play an integral role in advancing the burgeoning field of top-down proteomics.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2015        PMID: 26598644      PMCID: PMC4739683          DOI: 10.1074/mcp.O115.054387

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


  53 in total

1.  An algorithm for identifying multiply modified endogenous proteins using both full-scan and high-resolution tandem mass spectrometric data.

Authors:  Matthew T Mazur; Ray Fyhr
Journal:  Rapid Commun Mass Spectrom       Date:  2011-12-15       Impact factor: 2.419

Review 2.  Decoding protein modifications using top-down mass spectrometry.

Authors:  Nertila Siuti; Neil L Kelleher
Journal:  Nat Methods       Date:  2007-10       Impact factor: 28.547

Review 3.  Proteomics by mass spectrometry: approaches, advances, and applications.

Authors:  John R Yates; Cristian I Ruse; Aleksey Nakorchevsky
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

4.  Determination of monoisotopic masses and ion populations for large biomolecules from resolved isotopic distributions.

Authors:  M W Senko; S C Beu; F W McLaffertycor
Journal:  J Am Soc Mass Spectrom       Date:  1995-04       Impact factor: 3.109

Review 5.  Multidimensional proteomics for cell biology.

Authors:  Mark Larance; Angus I Lamond
Journal:  Nat Rev Mol Cell Biol       Date:  2015-04-10       Impact factor: 94.444

Review 6.  Top-down proteomics in health and disease: challenges and opportunities.

Authors:  Zachery R Gregorich; Ying Ge
Journal:  Proteomics       Date:  2014-05       Impact factor: 3.984

7.  Top-down proteomics reveals a unique protein S-thiolation switch in Salmonella Typhimurium in response to infection-like conditions.

Authors:  Charles Ansong; Si Wu; Da Meng; Xiaowen Liu; Heather M Brewer; Brooke L Deatherage Kaiser; Ernesto S Nakayasu; John R Cort; Pavel Pevzner; Richard D Smith; Fred Heffron; Joshua N Adkins; Ljiljana Pasa-Tolic
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-29       Impact factor: 11.205

8.  Bayesian deconvolution of mass and ion mobility spectra: from binary interactions to polydisperse ensembles.

Authors:  Michael T Marty; Andrew J Baldwin; Erik G Marklund; Georg K A Hochberg; Justin L P Benesch; Carol V Robinson
Journal:  Anal Chem       Date:  2015-04-01       Impact factor: 6.986

9.  Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.

Authors:  Navdeep Jaitly; Anoop Mayampurath; Kyle Littlefield; Joshua N Adkins; Gordon A Anderson; Richard D Smith
Journal:  BMC Bioinformatics       Date:  2009-03-17       Impact factor: 3.169

10.  Effective protein separation by coupling hydrophobic interaction and reverse phase chromatography for top-down proteomics.

Authors:  Lichen Xiu; Santosh G Valeja; Andrew J Alpert; Song Jin; Ying Ge
Journal:  Anal Chem       Date:  2014-07-09       Impact factor: 6.986

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  59 in total

1.  A comprehensive pipeline for translational top-down proteomics from a single blood draw.

Authors:  Timothy K Toby; Luca Fornelli; Kristina Srzentić; Caroline J DeHart; Josh Levitsky; John Friedewald; Neil L Kelleher
Journal:  Nat Protoc       Date:  2019-01       Impact factor: 13.491

2.  Top-Down Proteomics of Large Proteins up to 223 kDa Enabled by Serial Size Exclusion Chromatography Strategy.

Authors:  Wenxuan Cai; Trisha Tucholski; Bifan Chen; Andrew J Alpert; Sean McIlwain; Takushi Kohmoto; Song Jin; Ying Ge
Journal:  Anal Chem       Date:  2017-05-02       Impact factor: 6.986

3.  Ubiquitin Chain Enrichment Middle-Down Mass Spectrometry (UbiChEM-MS) Reveals Cell-Cycle Dependent Formation of Lys11/Lys48 Branched Ubiquitin Chains.

Authors:  Ambar S J B Rana; Ying Ge; Eric R Strieter
Journal:  J Proteome Res       Date:  2017-08-07       Impact factor: 4.466

4.  Simultaneous Quantification of Protein Expression and Modifications by Top-down Targeted Proteomics: A Case of the Sarcomeric Subproteome.

Authors:  Ziqing Lin; Liming Wei; Wenxuan Cai; Yanlong Zhu; Trisha Tucholski; Stanford D Mitchell; Wei Guo; Stephen P Ford; Gary M Diffee; Ying Ge
Journal:  Mol Cell Proteomics       Date:  2018-12-27       Impact factor: 5.911

5.  Enhanced Collision Induced Unfolding and Electron Capture Dissociation of Native-like Protein Ions.

Authors:  Varun V Gadkari; Carolina Rojas Ramírez; Daniel D Vallejo; Ruwan T Kurulugama; John C Fjeldsted; Brandon T Ruotolo
Journal:  Anal Chem       Date:  2020-11-09       Impact factor: 6.986

6.  Middle-Down Multi-Attribute Analysis of Antibody-Drug Conjugates with Electron Transfer Dissociation.

Authors:  Bifan Chen; Ziqing Lin; Yanlong Zhu; Yutong Jin; Eli Larson; Qingge Xu; Cexiong Fu; Zhaorui Zhang; Qunying Zhang; Wayne A Pritts; Ying Ge
Journal:  Anal Chem       Date:  2019-09-06       Impact factor: 6.986

7.  Evaluation of Spectral Counting for Relative Quantitation of Proteoforms in Top-Down Proteomics.

Authors:  Lucía Geis-Asteggiante; Suzanne Ostrand-Rosenberg; Catherine Fenselau; Nathan J Edwards
Journal:  Anal Chem       Date:  2016-10-31       Impact factor: 6.986

8.  Quantitative Middle-Down MS Analysis of Parkin-Mediated Ubiquitin Chain Assembly.

Authors:  Kirandeep K Deol; Stephen J Eyles; Eric R Strieter
Journal:  J Am Soc Mass Spectrom       Date:  2020-04-28       Impact factor: 3.109

Review 9.  Identification and Quantification of Proteoforms by Mass Spectrometry.

Authors:  Leah V Schaffer; Robert J Millikin; Rachel M Miller; Lissa C Anderson; Ryan T Fellers; Ying Ge; Neil L Kelleher; Richard D LeDuc; Xiaowen Liu; Samuel H Payne; Liangliang Sun; Paul M Thomas; Trisha Tucholski; Zhe Wang; Si Wu; Zhijie Wu; Dahang Yu; Michael R Shortreed; Lloyd M Smith
Journal:  Proteomics       Date:  2019-05       Impact factor: 3.984

Review 10.  Top-down Proteomics: Technology Advancements and Applications to Heart Diseases.

Authors:  Wenxuan Cai; Trisha M Tucholski; Zachery R Gregorich; Ying Ge
Journal:  Expert Rev Proteomics       Date:  2016-07-26       Impact factor: 3.940

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