Literature DB >> 20013374

Trans-proteomic pipeline: a pipeline for proteomic analysis.

Patrick G A Pedrioli1.   

Abstract

Mass spectrometry has quickly become an essential tool in molecular biology laboratories. Here, we describe the Trans-Proteomic Pipeline, a collection of software tools, to facilitate the analysis, exchange, and comparison of MS data. The pipeline is instrument-independent and supports most commonly used proteomics workflows, including quantitative applications such as ICAT, iTRAQ, and SILAC. Importantly, the pipeline uses open, standard data formats and calculates accurate estimates of sensitivity and error rates, thus allowing for meaningful data exchange. In this chapter, we will introduce the various components of the pipeline in the context of three typical proteomic use-case scenarios.

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Year:  2010        PMID: 20013374     DOI: 10.1007/978-1-60761-444-9_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  69 in total

1.  Quantitative peptidomics study reveals that a wound-induced peptide from PR-1 regulates immune signaling in tomato.

Authors:  Ying-Lan Chen; Chi-Ying Lee; Kai-Tan Cheng; Wei-Hung Chang; Rong-Nan Huang; Hong Gil Nam; Yet-Ran Chen
Journal:  Plant Cell       Date:  2014-10-31       Impact factor: 11.277

2.  Characterization of the prime and non-prime active site specificities of proteases by proteome-derived peptide libraries and tandem mass spectrometry.

Authors:  Oliver Schilling; Pitter F Huesgen; Olivier Barré; Ulrich Auf dem Keller; Christopher M Overall
Journal:  Nat Protoc       Date:  2011-01-06       Impact factor: 13.491

3.  Involvement of reactive oxygen species in a feed-forward mechanism of Na/K-ATPase-mediated signaling transduction.

Authors:  Yanling Yan; Anna P Shapiro; Steven Haller; Vinai Katragadda; Lijun Liu; Jiang Tian; Venkatesha Basrur; Deepak Malhotra; Zi-Jian Xie; Nader G Abraham; Joseph I Shapiro; Jiang Liu
Journal:  J Biol Chem       Date:  2013-10-11       Impact factor: 5.157

4.  BioID-based Identification of Skp Cullin F-box (SCF)β-TrCP1/2 E3 Ligase Substrates.

Authors:  Etienne Coyaud; Monika Mis; Estelle M N Laurent; Wade H Dunham; Amber L Couzens; Melanie Robitaille; Anne-Claude Gingras; Stephane Angers; Brian Raught
Journal:  Mol Cell Proteomics       Date:  2015-04-21       Impact factor: 5.911

5.  Firmiana: towards a one-stop proteomic cloud platform for data processing and analysis.

Authors:  Jinwen Feng; Chen Ding; Naiqi Qiu; Xiaotian Ni; Dongdong Zhan; Wanlin Liu; Xia Xia; Peng Li; Bingxin Lu; Qi Zhao; Peng Nie; Lei Song; Quan Zhou; Mi Lai; Gaigai Guo; Weimin Zhu; Jian Ren; Tieliu Shi; Jun Qin
Journal:  Nat Biotechnol       Date:  2017-05-09       Impact factor: 54.908

6.  Comprehensive analysis of protein digestion using six trypsins reveals the origin of trypsin as a significant source of variability in proteomics.

Authors:  Scott J Walmsley; Paul A Rudnick; Yuxue Liang; Qian Dong; Stephen E Stein; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2013-11-14       Impact factor: 4.466

7.  Evaluating kinase ATP uptake and tyrosine phosphorylation using multiplexed quantification of chemically labeled and post-translationally modified peptides.

Authors:  Bin Fang; Melissa A Hoffman; Abu-Sayeef Mirza; Katie M Mishall; Jiannong Li; Scott M Peterman; Keiran S M Smalley; Kenneth H Shain; Paul M Weinberger; Jie Wu; Uwe Rix; Eric B Haura; John M Koomen
Journal:  Methods       Date:  2015-03-14       Impact factor: 3.608

8.  Integration of Two In-depth Quantitative Proteomics Approaches Determines the Kallikrein-related Peptidase 7 (KLK7) Degradome in Ovarian Cancer Cell Secretome.

Authors:  Lakmali Munasinghage Silva; Thomas Kryza; Thomas Stoll; Christine Hoogland; Ying Dong; Carson Ryan Stephens; Marcus Lachlan Hastie; Viktor Magdolen; Oded Kleifeld; Jeffrey John Gorman; Judith Ann Clements
Journal:  Mol Cell Proteomics       Date:  2019-01-31       Impact factor: 5.911

9.  A statistics-based platform for quantitative N-terminome analysis and identification of protease cleavage products.

Authors:  Ulrich auf dem Keller; Anna Prudova; Magda Gioia; Georgina S Butler; Christopher M Overall
Journal:  Mol Cell Proteomics       Date:  2010-03-20       Impact factor: 5.911

10.  Multiplex N-terminome analysis of MMP-2 and MMP-9 substrate degradomes by iTRAQ-TAILS quantitative proteomics.

Authors:  Anna Prudova; Ulrich auf dem Keller; Georgina S Butler; Christopher M Overall
Journal:  Mol Cell Proteomics       Date:  2010-03-20       Impact factor: 5.911

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