Literature DB >> 33687711

SWATH-MS Protocols in Human Diseases.

Maria Del Pilar Chantada-Vázquez1, María García Vence2, Antonio Serna3, Cristina Núñez4, Susana B Bravo5.   

Abstract

Identification of molecular biomarkers for human diseases is one of the most important disciplines in translational science as it helps to elucidate their origin and early progression. Thus, it is a key factor in better diagnosis, prognosis, and treatment. Proteomics can help to solve the problem of sample complexity when the most common primary sample specimens were analyzed: organic fluids of easy access. The latest developments in high-throughput and label-free quantitative proteomics (SWATH-MS), together with more advanced liquid chromatography, have enabled the analysis of large sample sets with the sensitivity and depth needed to succeed in this task. In this chapter, we show different sample processing methods (major protein depletion, digestion, etc.) and a micro LC-SWATH-MS protocol to identify/quantify several proteins in different types of samples (serum/plasma, saliva, urine, tears).

Entities:  

Keywords:  Biological fluids; Label-free quantification; Nanoproteomics; SWATH-MS; Saliva; Serum/plasma; Tears; Urine

Mesh:

Substances:

Year:  2021        PMID: 33687711     DOI: 10.1007/978-1-0716-1178-4_7

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


  99 in total

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Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2003-03-13       Impact factor: 49.962

Review 2.  The clinical plasma proteome: a survey of clinical assays for proteins in plasma and serum.

Authors:  N Leigh Anderson
Journal:  Clin Chem       Date:  2009-11-02       Impact factor: 8.327

3.  More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS.

Authors:  Annette Michalski; Juergen Cox; Matthias Mann
Journal:  J Proteome Res       Date:  2011-02-28       Impact factor: 4.466

Review 4.  A review on mass spectrometry-based quantitative proteomics: Targeted and data independent acquisition.

Authors:  Veronika Vidova; Zdenek Spacil
Journal:  Anal Chim Acta       Date:  2017-02-02       Impact factor: 6.558

Review 5.  Mass-spectrometric exploration of proteome structure and function.

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

Review 6.  The long journey of cancer biomarkers from the bench to the clinic.

Authors:  Maria P Pavlou; Eleftherios P Diamandis; Ivan M Blasutig
Journal:  Clin Chem       Date:  2012-09-27       Impact factor: 8.327

Review 7.  Multiplexed and data-independent tandem mass spectrometry for global proteome profiling.

Authors:  John D Chapman; David R Goodlett; Christophe D Masselon
Journal:  Mass Spectrom Rev       Date:  2013-11-26       Impact factor: 10.946

Review 8.  Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques.

Authors:  Jesse G Meyer; Birgit Schilling
Journal:  Expert Rev Proteomics       Date:  2017-05       Impact factor: 3.940

9.  Data-independent Acquisition Improves Quantitative Cross-linking Mass Spectrometry.

Authors:  Fränze Müller; Lars Kolbowski; Oliver M Bernhardt; Lukas Reiter; Juri Rappsilber
Journal:  Mol Cell Proteomics       Date:  2019-01-16       Impact factor: 5.911

Review 10.  Technical advances in proteomics: new developments in data-independent acquisition.

Authors:  Alex Hu; William S Noble; Alejandro Wolf-Yadlin
Journal:  F1000Res       Date:  2016-03-31
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  1 in total

1.  Shotgun Proteomics for the Identification and Profiling of the Tear Proteome of Keratoconus Patients.

Authors:  Maite López-López; Uxía Regueiro; Susana Belén Bravo; María Del Pilar Chantada-Vázquez; Carmen Pena; Elío Díez-Feijoo; Pablo Hervella; Isabel Lema
Journal:  Invest Ophthalmol Vis Sci       Date:  2022-05-02       Impact factor: 4.925

  1 in total

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