Literature DB >> 21266631

mzResults: an interactive viewer for interrogation and distribution of proteomics results.

James T Webber1, Manor Askenazi, Jarrod A Marto.   

Abstract

The growing use of mass spectrometry in the context of biomedical research has been accompanied by an increased demand for distribution of results in a format that facilitates rapid and efficient validation of claims by reviewers and other interested parties. However, the continued evolution of mass spectrometry hardware, sample preparation methods, and peptide identification algorithms complicates standardization and creates hurdles related to compliance with journal submission requirements. Moreover, the recently announced Philadelphia Guidelines (1, 2) suggest that authors provide native mass spectrometry data files in support of their peer-reviewed research articles. These trends highlight the need for data viewers and other tools that work independently of manufacturers' proprietary data systems and seamlessly connect proteomics results with original data files to support user-driven data validation and review. Based upon our recently described API(1)-based framework for mass spectrometry data analysis (3, 4), we created an interactive viewer (mzResults) that is built on established database standards and enables efficient distribution and interrogation of results associated with proteomics experiments, while also providing a convenient mechanism for authors to comply with data submission standards as described in the Philadelphia Guidelines. In addition, the architecture of mzResults supports in-depth queries of the native mass spectrometry files through our multiplierz software environment. We use phosphoproteomics data to illustrate the features and capabilities of mzResults.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21266631      PMCID: PMC3098584          DOI: 10.1074/mcp.M110.003970

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


  25 in total

1.  Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS.

Authors:  Andrew Thompson; Jürgen Schäfer; Karsten Kuhn; Stefan Kienle; Josef Schwarz; Günter Schmidt; Thomas Neumann; R Johnstone; A Karim A Mohammed; Christian Hamon
Journal:  Anal Chem       Date:  2003-04-15       Impact factor: 6.986

2.  HTAPP: high-throughput autonomous proteomic pipeline.

Authors:  Kebing Yu; Arthur R Salomon
Journal:  Proteomics       Date:  2010-06       Impact factor: 3.984

Review 3.  What is mzXML good for?

Authors:  Simon M Lin; Lihua Zhu; Andrew Q Winter; Maciek Sasinowski; Warren A Kibbe
Journal:  Expert Rev Proteomics       Date:  2005-12       Impact factor: 3.940

4.  Revised draft guidelines for proteomic data publication.

Authors:  Ralph A Bradshaw
Journal:  Mol Cell Proteomics       Date:  2005-09       Impact factor: 5.911

5.  Reporting protein identification data: the next generation of guidelines.

Authors:  Ralph A Bradshaw; Alma L Burlingame; Steven Carr; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2006-05       Impact factor: 5.911

6.  ProteomeCommons.org JAF: reference information and tools for proteomics.

Authors:  J A Falkner; J W Falkner; P C Andrews
Journal:  Bioinformatics       Date:  2006-01-24       Impact factor: 6.937

7.  A probability-based approach for high-throughput protein phosphorylation analysis and site localization.

Authors:  Sean A Beausoleil; Judit Villén; Scott A Gerber; John Rush; Steven P Gygi
Journal:  Nat Biotechnol       Date:  2006-09-10       Impact factor: 54.908

8.  Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents.

Authors:  Philip L Ross; Yulin N Huang; Jason N Marchese; Brian Williamson; Kenneth Parker; Stephen Hattan; Nikita Khainovski; Sasi Pillai; Subhakar Dey; Scott Daniels; Subhasish Purkayastha; Peter Juhasz; Stephen Martin; Michael Bartlet-Jones; Feng He; Allan Jacobson; Darryl J Pappin
Journal:  Mol Cell Proteomics       Date:  2004-09-22       Impact factor: 5.911

9.  Advances in the development of common interchange standards for proteomic data.

Authors:  Sandra Orchard; Chris F Taylor; Henning Hermjakob; Randall K Julian; Rolf Apweiler
Journal:  Proteomics       Date:  2004-08       Impact factor: 3.984

10.  A uniform proteomics MS/MS analysis platform utilizing open XML file formats.

Authors:  Andrew Keller; Jimmy Eng; Ning Zhang; Xiao-jun Li; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2005-08-02       Impact factor: 11.429

View more
  7 in total

1.  DNA ends alter the molecular composition and localization of Ku multicomponent complexes.

Authors:  Guillaume Adelmant; Anne S Calkins; Brijesh K Garg; Joseph D Card; Manor Askenazi; Alex Miron; Bijan Sobhian; Yi Zhang; Yoshihiro Nakatani; Pamela A Silver; J Dirk Iglehart; Jarrod A Marto; Jean-Bernard Lazaro
Journal:  Mol Cell Proteomics       Date:  2012-04-24       Impact factor: 5.911

2.  mz5: space- and time-efficient storage of mass spectrometry data sets.

Authors:  Mathias Wilhelm; Marc Kirchner; Judith A J Steen; Hanno Steen
Journal:  Mol Cell Proteomics       Date:  2011-09-29       Impact factor: 5.911

3.  A mass spectrometry proteomics data management platform.

Authors:  Vagisha Sharma; Jimmy K Eng; Michael J Maccoss; Michael Riffle
Journal:  Mol Cell Proteomics       Date:  2012-05-18       Impact factor: 5.911

4.  Online nanoflow multidimensional fractionation for high efficiency phosphopeptide analysis.

Authors:  Scott B Ficarro; Yi Zhang; Marlene J Carrasco-Alfonso; Brijesh Garg; Guillaume Adelmant; James T Webber; C John Luckey; Jarrod A Marto
Journal:  Mol Cell Proteomics       Date:  2011-07-25       Impact factor: 5.911

5.  MS-viewer: a web-based spectral viewer for proteomics results.

Authors:  Peter R Baker; Robert J Chalkley
Journal:  Mol Cell Proteomics       Date:  2014-03-03       Impact factor: 5.911

6.  Phosphoproteomic analysis reveals that PP4 dephosphorylates KAP-1 impacting the DNA damage response.

Authors:  Dong-Hyun Lee; Aaron A Goodarzi; Guillaume O Adelmant; Yunfeng Pan; Penelope A Jeggo; Jarrod A Marto; Dipanjan Chowdhury
Journal:  EMBO J       Date:  2012-04-10       Impact factor: 11.598

7.  mzStudio: A Dynamic Digital Canvas for User-Driven Interrogation of Mass Spectrometry Data.

Authors:  Scott B Ficarro; William M Alexander; Jarrod A Marto
Journal:  Proteomes       Date:  2017-08-01
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.