Literature DB >> 17726679

Quantitative proteomics using uniform (15)N-labeling, MASCOT, and the trans-proteomic pipeline.

Magnus Palmblad1, Laurence V Bindschedler, Rainer Cramer.   

Abstract

Stable isotope labeling combined with MS is a powerful method for measuring relative protein abundances, for instance, by differential metabolic labeling of some or all amino acids with (14)N and (15)N in cell culture or hydroponic media. These and most other types of quantitative proteomics experiments using high-throughput technologies, such as LC-MS/MS, generate large amounts of raw MS data. This data needs to be processed efficiently and automatically, from the mass spectrometer to statistically evaluated protein identifications and abundance ratios. This paper describes in detail an approach to the automated analysis of uniformly (14)N/(15)N-labeled proteins using MASCOT peptide identification in conjunction with the trans-proteomic pipeline (TPP) and a few scripts to integrate the analysis workflow. Two large proteomic datasets from uniformly labeled Arabidopsis thaliana were used to illustrate the analysis pipeline. The pipeline can be fully automated and uses only common or freely available software.

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Year:  2007        PMID: 17726679     DOI: 10.1002/pmic.200700180

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

1.  Quantitative proteomics reveals a dynamic association of proteins to detergent-resistant membranes upon elicitor signaling in tobacco.

Authors:  Thomas Stanislas; David Bouyssie; Michel Rossignol; Simona Vesa; Jérôme Fromentin; Johanne Morel; Carole Pichereaux; Bernard Monsarrat; Françoise Simon-Plas
Journal:  Mol Cell Proteomics       Date:  2009-06-13       Impact factor: 5.911

2.  Quantitative proteomics by metabolic labeling of model organisms.

Authors:  Joost W Gouw; Jeroen Krijgsveld; Albert J R Heck
Journal:  Mol Cell Proteomics       Date:  2009-11-19       Impact factor: 5.911

Review 3.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

4.  Quantitative phosphoproteomics after auxin-stimulated lateral root induction identifies an SNX1 protein phosphorylation site required for growth.

Authors:  Hongtao Zhang; Houjiang Zhou; Lidija Berke; Albert J R Heck; Shabaz Mohammed; Ben Scheres; Frank L H Menke
Journal:  Mol Cell Proteomics       Date:  2013-01-17       Impact factor: 5.911

5.  Rapid Liquid AP-MALDI MS Profiling of Lipids and Proteins from Goat and Sheep Milk for Speciation and Colostrum Analysis.

Authors:  Cristian Piras; Carlotta Ceniti; Evita Hartmane; Nicola Costanzo; Valeria Maria Morittu; Paola Roncada; Domenico Britti; Rainer Cramer
Journal:  Proteomes       Date:  2020-08-21

6.  Gel-based and gel-free quantitative proteomics approaches at a glance.

Authors:  Cosette Abdallah; Eliane Dumas-Gaudot; Jenny Renaut; Kjell Sergeant
Journal:  Int J Plant Genomics       Date:  2012-11-20

7.  Preparation of uniformly labelled 13C- and 15N-plants using customised growth chambers.

Authors:  Asja Ćeranić; Maria Doppler; Christoph Büschl; Alexandra Parich; Kangkang Xu; Andrea Koutnik; Hermann Bürstmayr; Marc Lemmens; Rainer Schuhmacher
Journal:  Plant Methods       Date:  2020-04-06       Impact factor: 4.993

  7 in total

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