Literature DB >> 34270055

Plant Phosphopeptide Identification and Label-Free Quantification by MaxQuant and Proteome Discoverer Software.

Shalan Li1, Haitao Zan1, Zhe Zhu1, Dandan Lu2, Leonard Krall3.   

Abstract

Both the phosphorylation and dephosphorylation of plant proteins is involved in multiple biological processes, especially in regard to signal transduction. The identification of phosphopeptides from MS (mass spectrometry)-based methods and their subsequent quantification play an important role in plant phosphoproteomics analysis. Phosphopeptide(s) identification and label-free quantification can determine dynamic changes of phosphorylation events in plants. Both MaxQuant and Proteome Discoverer are professional software tools used to identify and quantify large-scale MS-based phosphoproteomic data. This chapter gives a detailed workflow of MaxQuant and Proteome Discoverer software to analyze large amounts of phosphoproteomic-related MS data for the identification and quantification of label-free plant phosphopeptides.
© 2021. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Label-free quantification; Mass spectrometry (MS); MaxQuant; Phosphoproteomics; Proteome discoverer

Mesh:

Substances:

Year:  2021        PMID: 34270055     DOI: 10.1007/978-1-0716-1625-3_13

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


  5 in total

1.  A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics.

Authors:  Jürgen Cox; Ivan Matic; Maximiliane Hilger; Nagarjuna Nagaraj; Matthias Selbach; Jesper V Olsen; Matthias Mann
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

2.  Andromeda: a peptide search engine integrated into the MaxQuant environment.

Authors:  Jürgen Cox; Nadin Neuhauser; Annette Michalski; Richard A Scheltema; Jesper V Olsen; Matthias Mann
Journal:  J Proteome Res       Date:  2011-02-22       Impact factor: 4.466

3.  Assessment of Label-Free Quantification in Discovery Proteomics and Impact of Technological Factors and Natural Variability of Protein Abundance.

Authors:  Mhd Rami Al Shweiki; Susann Mönchgesang; Petra Majovsky; Domenika Thieme; Diana Trutschel; Wolfgang Hoehenwarter
Journal:  J Proteome Res       Date:  2017-02-28       Impact factor: 4.466

Review 4.  Post-translational control of ABA signalling: the roles of protein phosphorylation and ubiquitination.

Authors:  Wenqi Yang; Wei Zhang; Xiaoxue Wang
Journal:  Plant Biotechnol J       Date:  2016-12-06       Impact factor: 9.803

5.  Neopeptide Analyser: A software tool for neopeptide discovery in proteomics data.

Authors:  Mandy Peffers; Andrew R Jones; Antony McCabe; James Anderson
Journal:  Wellcome Open Res       Date:  2017-04-07
  5 in total

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