Literature DB >> 22888986

A software toolkit and interface for performing stable isotope labeling and top3 quantification using Progenesis LC-MS.

Da Qi1, Philip Brownridge, Dong Xia, Katherine Mackay, Faviel F Gonzalez-Galarza, Jenna Kenyani, Victoria Harman, Robert J Beynon, Andrew R Jones.   

Abstract

Numerous software packages exist to provide support for quantifying peptides and proteins from mass spectrometry (MS) data. However, many support only a subset of experimental methods or instrument types, meaning that laboratories often have to use multiple software packages. The Progenesis LC-MS software package from Nonlinear Dynamics is a software solution for label-free quantitation. However, many laboratories using Progenesis also wish to employ stable isotope-based methods that are not natively supported in Progenesis. We have developed a Java programming interface that can use the output files produced by Progenesis, allowing the basic MS features quantified across replicates to be used in a range of different experimental methods. We have developed post-processing software (the Progenesis Post-Processor) to embed Progenesis in the analysis of stable isotope labeling data and top3 pseudo-absolute quantitation. We have also created export ability to the new data standard, mzQuantML, produced by the Proteomics Standards Initiative to facilitate the development and standardization process. The software is provided to users with a simple graphical user interface for accessing the different features. The underlying programming interface may also be used by Java developers to develop other routines for analyzing data produced by Progenesis.

Entities:  

Mesh:

Year:  2012        PMID: 22888986      PMCID: PMC3437041          DOI: 10.1089/omi.2012.0042

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  12 in total

1.  Absolute quantification of proteins by LCMSE: a virtue of parallel MS acquisition.

Authors:  Jeffrey C Silva; Marc V Gorenstein; Guo-Zhong Li; Johannes P C Vissers; Scott J Geromanos
Journal:  Mol Cell Proteomics       Date:  2005-10-11       Impact factor: 5.911

2.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

3.  iTRAQ underestimation in simple and complex mixtures: "the good, the bad and the ugly".

Authors:  Saw Yen Ow; Malinda Salim; Josselin Noirel; Caroline Evans; Ishtiaq Rehman; Phillip C Wright
Journal:  J Proteome Res       Date:  2009-11       Impact factor: 4.466

4.  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

5.  Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance.

Authors:  Amanda G Paulovich; Dean Billheimer; Amy-Joan L Ham; Lorenzo Vega-Montoto; Paul A Rudnick; David L Tabb; Pei Wang; Ronald K Blackman; David M Bunk; Helene L Cardasis; Karl R Clauser; Christopher R Kinsinger; Birgit Schilling; Tony J Tegeler; Asokan Mulayath Variyath; Mu Wang; Jeffrey R Whiteaker; Lisa J Zimmerman; David Fenyo; Steven A Carr; Susan J Fisher; Bradford W Gibson; Mehdi Mesri; Thomas A Neubert; Fred E Regnier; Henry Rodriguez; Cliff Spiegelman; Stephen E Stein; Paul Tempst; Daniel C Liebler
Journal:  Mol Cell Proteomics       Date:  2009-10-26       Impact factor: 5.911

6.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

7.  A critical appraisal of techniques, software packages, and standards for quantitative proteomic analysis.

Authors:  Faviel F Gonzalez-Galarza; Craig Lawless; Simon J Hubbard; Jun Fan; Conrad Bessant; Henning Hermjakob; Andrew R Jones
Journal:  OMICS       Date:  2012-07-17

8.  mzML--a community standard for mass spectrometry data.

Authors:  Lennart Martens; Matthew Chambers; Marc Sturm; Darren Kessner; Fredrik Levander; Jim Shofstahl; Wilfred H Tang; Andreas Römpp; Steffen Neumann; Angel D Pizarro; Luisa Montecchi-Palazzi; Natalie Tasman; Mike Coleman; Florian Reisinger; Puneet Souda; Henning Hermjakob; Pierre-Alain Binz; Eric W Deutsch
Journal:  Mol Cell Proteomics       Date:  2010-08-17       Impact factor: 5.911

9.  The mzIdentML data standard for mass spectrometry-based proteomics results.

Authors:  Andrew R Jones; Martin Eisenacher; Gerhard Mayer; Oliver Kohlbacher; Jennifer Siepen; Simon J Hubbard; Julian N Selley; Brian C Searle; James Shofstahl; Sean L Seymour; Randall Julian; Pierre-Alain Binz; Eric W Deutsch; Henning Hermjakob; Florian Reisinger; Johannes Griss; Juan Antonio Vizcaíno; Matthew Chambers; Angel Pizarro; David Creasy
Journal:  Mol Cell Proteomics       Date:  2012-02-27       Impact factor: 5.911

10.  OpenMS - an open-source software framework for mass spectrometry.

Authors:  Marc Sturm; Andreas Bertsch; Clemens Gröpl; Andreas Hildebrandt; Rene Hussong; Eva Lange; Nico Pfeifer; Ole Schulz-Trieglaff; Alexandra Zerck; Knut Reinert; Oliver Kohlbacher
Journal:  BMC Bioinformatics       Date:  2008-03-26       Impact factor: 3.169

View more
  21 in total

1.  Proteomic Analysis of the Pseudomonas aeruginosa Iron Starvation Response Reveals PrrF Small Regulatory RNA-Dependent Iron Regulation of Twitching Motility, Amino Acid Metabolism, and Zinc Homeostasis Proteins.

Authors:  Cassandra E Nelson; Weiliang Huang; Luke K Brewer; Angela T Nguyen; Maureen A Kane; Angela Wilks; Amanda G Oglesby-Sherrouse
Journal:  J Bacteriol       Date:  2019-05-22       Impact factor: 3.490

2.  Bioinformatics challenges and solutions in proteomics as quantitative methods mature.

Authors:  Andrew R Jones
Journal:  OMICS       Date:  2012-07-17

3.  Comparative proteomic analysis of SLC13A5 knockdown reveals elevated ketogenesis and enhanced cellular toxic response to chemotherapeutic agents in HepG2 cells.

Authors:  Tao Hu; Weiliang Huang; Zhihui Li; Maureen A Kane; Lei Zhang; Shiew-Mei Huang; Hongbing Wang
Journal:  Toxicol Appl Pharmacol       Date:  2020-07-04       Impact factor: 4.219

4.  Label-free quantification in ion mobility-enhanced data-independent acquisition proteomics.

Authors:  Ute Distler; Jörg Kuharev; Pedro Navarro; Stefan Tenzer
Journal:  Nat Protoc       Date:  2016-03-24       Impact factor: 13.491

5.  Alterations in retinoic acid signaling affect the development of the mouse coronary vasculature.

Authors:  Suya Wang; Weiliang Huang; Hozana A Castillo; Maureen A Kane; José Xavier-Neto; Paul A Trainor; Alexander R Moise
Journal:  Dev Dyn       Date:  2018-08       Impact factor: 3.780

6.  ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Bo Li; Yinghong Li; Qingxia Yang; Xuejiao Cui; Jiajun Hong; Xiaofeng Li; Yuzong Chen; Weiwei Xue; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-03-23       Impact factor: 11.622

Review 7.  Systems Genetics for Mechanistic Discovery in Heart Diseases.

Authors:  Christoph D Rau; Aldons J Lusis; Yibin Wang
Journal:  Circ Res       Date:  2020-06-04       Impact factor: 17.367

8.  Effects of ATP-competitive and function-selective ERK inhibitors on airway smooth muscle cell proliferation.

Authors:  Amy E Defnet; Weiliang Huang; Steven Polischak; Santosh Kumar Yadav; Maureen A Kane; Paul Shapiro; Deepak A Deshpande
Journal:  FASEB J       Date:  2019-07-26       Impact factor: 5.834

9.  Quantitative analysis of chaperone network throughput in budding yeast.

Authors:  Philip Brownridge; Craig Lawless; Aishwarya B Payapilly; Karin Lanthaler; Stephen W Holman; Victoria M Harman; Christopher M Grant; Robert J Beynon; Simon J Hubbard
Journal:  Proteomics       Date:  2013-03-15       Impact factor: 3.984

10.  The mzQuantML data standard for mass spectrometry-based quantitative studies in proteomics.

Authors:  Mathias Walzer; Da Qi; Gerhard Mayer; Julian Uszkoreit; Martin Eisenacher; Timo Sachsenberg; Faviel F Gonzalez-Galarza; Jun Fan; Conrad Bessant; Eric W Deutsch; Florian Reisinger; Juan Antonio Vizcaíno; J Alberto Medina-Aunon; Juan Pablo Albar; Oliver Kohlbacher; Andrew R Jones
Journal:  Mol Cell Proteomics       Date:  2013-04-18       Impact factor: 5.911

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.