Literature DB >> 35175593

Differential Proteomic Analysis of Complex Mixtures by Label-Free nLC MS/MS.

Iraide Escobés1, Mikel Azkargorta1, Ibon Iloro1, Felix Elortza2.   

Abstract

After over two decades of constant evolution, proteomics can be truly considered nowadays as a high-throughput technique. Latest advances performed in sample preparation, instrumentation, and data analysis tools enable proteome-wide detection and quantification of proteins in complex samples.Label-free quantification by nanoscale liquid chromatography coupled online to tandem mass spectrometry (nLC MS /MS ) is a straightforward procedure for relative protein quantification. This approach allows to get deeper insights of what molecular changes are involved in the biological system we want to study in an unbiased manner.This chapter describes methods for sample preparation prior to mass spectrometry analysis. Besides, we describe a standard acquisition method, and some common bioinformatics analyses that help extracting biologically relevant information out of the achieved data.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biomarker discovery; Label-free quantification; Mass spectrometry; Precision-medicine; Proteome; Proteomics; Relative protein quantification

Mesh:

Substances:

Year:  2022        PMID: 35175593     DOI: 10.1007/978-1-0716-2193-6_5

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


  12 in total

1.  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

2.  Universal sample preparation method for proteome analysis.

Authors:  Jacek R Wiśniewski; Alexandre Zougman; Nagarjuna Nagaraj; Matthias Mann
Journal:  Nat Methods       Date:  2009-04-19       Impact factor: 28.547

3.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

Review 4.  Next-generation proteomics: towards an integrative view of proteome dynamics.

Authors:  A F Maarten Altelaar; Javier Munoz; Albert J R Heck
Journal:  Nat Rev Genet       Date:  2012-12-04       Impact factor: 53.242

5.  The Perseus computational platform for comprehensive analysis of (prote)omics data.

Authors:  Stefka Tyanova; Tikira Temu; Pavel Sinitcyn; Arthur Carlson; Marco Y Hein; Tamar Geiger; Matthias Mann; Jürgen Cox
Journal:  Nat Methods       Date:  2016-06-27       Impact factor: 28.547

Review 6.  Mass-spectrometric exploration of proteome structure and function.

Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

7.  Cigarette smoking and cancer of the lungs and of the bladder.

Authors:  A J Lea
Journal:  Lancet       Date:  1966-03-12       Impact factor: 79.321

8.  Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v.14.0).

Authors:  Huaiyu Mi; Anushya Muruganujan; Xiaosong Huang; Dustin Ebert; Caitlin Mills; Xinyu Guo; Paul D Thomas
Journal:  Nat Protoc       Date:  2019-02-25       Impact factor: 13.491

9.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nucleic Acids Res       Date:  2008-11-25       Impact factor: 16.971

10.  Online Parallel Accumulation-Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer.

Authors:  Florian Meier; Andreas-David Brunner; Scarlet Koch; Heiner Koch; Markus Lubeck; Michael Krause; Niels Goedecke; Jens Decker; Thomas Kosinski; Melvin A Park; Nicolai Bache; Ole Hoerning; Jürgen Cox; Oliver Räther; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2018-11-01       Impact factor: 5.911

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