Literature DB >> 24681903

Census 2: isobaric labeling data analysis.

Sung Kyu Robin Park1, Aaron Aslanian1, Daniel B McClatchy1, Xuemei Han1, Harshil Shah1, Meha Singh1, Navin Rauniyar1, James J Moresco1, Antonio F M Pinto1, Jolene K Diedrich1, Claire Delahunty1, John R Yates1.   

Abstract

MOTIVATION: We introduce Census 2, an update of a mass spectrometry data analysis tool for peptide/protein quantification. New features for analysis of isobaric labeling, such as Tandem Mass Tag (TMT) or Isobaric Tags for Relative and Absolute Quantification (iTRAQ), have been added in this version, including a reporter ion impurity correction, a reporter ion intensity threshold filter and an option for weighted normalization to correct mixing errors. TMT/iTRAQ analysis can be performed on experiments using HCD (High Energy Collision Dissociation) only, CID (Collision Induced Dissociation)/HCD (High Energy Collision Dissociation) dual scans or HCD triple-stage mass spectrometry data. To improve measurement accuracy, we implemented weighted normalization, multiple tandem spectral approach, impurity correction and dynamic intensity threshold features.
AVAILABILITY AND IMPLEMENTATION: Census 2 supports multiple input file formats including MS1/MS2, DTASelect, mzXML and pepXML. It requires JAVA version 6 or later to run. Free download of Census 2 for academic users is available at http://fields.scripps.edu/census/index.php. CONTACT: jyates@scripps.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24681903      PMCID: PMC4155478          DOI: 10.1093/bioinformatics/btu151

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  DTASelect and Contrast: tools for assembling and comparing protein identifications from shotgun proteomics.

Authors:  David L Tabb; W Hayes McDonald; John R Yates
Journal:  J Proteome Res       Date:  2002 Jan-Feb       Impact factor: 4.466

2.  A quantitative analysis software tool for mass spectrometry-based proteomics.

Authors:  Sung Kyu Park; John D Venable; Tao Xu; John R Yates
Journal:  Nat Methods       Date:  2008-03-16       Impact factor: 28.547

3.  High precision quantitative proteomics using iTRAQ on an LTQ Orbitrap: a new mass spectrometric method combining the benefits of all.

Authors:  Thomas Köcher; Peter Pichler; Michael Schutzbier; Christoph Stingl; Axel Kaul; Nils Teucher; Gerd Hasenfuss; Josef M Penninger; Karl Mechtler
Journal:  J Proteome Res       Date:  2009-10       Impact factor: 4.466

4.  MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics.

Authors:  Lily Ting; Ramin Rad; Steven P Gygi; Wilhelm Haas
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

  4 in total
  30 in total

1.  Quantitative Proteomics of Human Fibroblasts with I1061T Mutation in Niemann-Pick C1 (NPC1) Protein Provides Insights into the Disease Pathogenesis.

Authors:  Navin Rauniyar; Kanagaraj Subramanian; Mathieu Lavallée-Adam; Salvador Martínez-Bartolomé; William E Balch; John R Yates
Journal:  Mol Cell Proteomics       Date:  2015-04-14       Impact factor: 5.911

2.  Quantitative Interactome Proteomics Reveals a Molecular Basis for ATF6-Dependent Regulation of a Destabilized Amyloidogenic Protein.

Authors:  Lars Plate; Bibiana Rius; Bianca Nguyen; Joseph C Genereux; Jeffery W Kelly; R Luke Wiseman
Journal:  Cell Chem Biol       Date:  2019-05-16       Impact factor: 8.116

3.  From raw data to biological discoveries: a computational analysis pipeline for mass spectrometry-based proteomics.

Authors:  Mathieu Lavallée-Adam; Sung Kyu Robin Park; Salvador Martínez-Bartolomé; Lin He; John R Yates
Journal:  J Am Soc Mass Spectrom       Date:  2015-05-22       Impact factor: 3.109

Review 4.  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

5.  Quantitative In Vivo Proteomics of Metformin Response in Liver Reveals AMPK-Dependent and -Independent Signaling Networks.

Authors:  Benjamin D Stein; Diego Calzolari; Kristina Hellberg; Ying S Hu; Lin He; Chien-Min Hung; Erin Q Toyama; Debbie S Ross; Björn F Lillemeier; Lewis C Cantley; John R Yates; Reuben J Shaw
Journal:  Cell Rep       Date:  2019-12-03       Impact factor: 9.423

6.  Identification of long-lived proteins in the mitochondria reveals increased stability of the electron transport chain.

Authors:  Shefali Krishna; Rafael Arrojo E Drigo; Juliana S Capitanio; Ranjan Ramachandra; Mark Ellisman; Martin W Hetzer
Journal:  Dev Cell       Date:  2021-10-28       Impact factor: 12.270

7.  Coupling of spliceosome complexity to intron diversity.

Authors:  Jade Sales-Lee; Daniela S Perry; Bradley A Bowser; Jolene K Diedrich; Beiduo Rao; Irene Beusch; John R Yates; Scott W Roy; Hiten D Madhani
Journal:  Curr Biol       Date:  2021-09-22       Impact factor: 10.834

8.  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

9.  Spliceosome Profiling Visualizes Operations of a Dynamic RNP at Nucleotide Resolution.

Authors:  Jordan E Burke; Adam D Longhurst; Daria Merkurjev; Jade Sales-Lee; Beiduo Rao; James J Moresco; John R Yates; Jingyi Jessica Li; Hiten D Madhani
Journal:  Cell       Date:  2018-05-03       Impact factor: 41.582

10.  An Open Data Format for Visualization and Analysis of Cross-Linked Mass Spectrometry Results.

Authors:  Michael R Hoopmann; Luis Mendoza; Eric W Deutsch; David Shteynberg; Robert L Moritz
Journal:  J Am Soc Mass Spectrom       Date:  2016-07-28       Impact factor: 3.109

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.