Literature DB >> 36180685

Analysis of the Human Pineal Proteome by Mass Spectrometry.

Mariette Matondo1, Guillaume Dumas2,3, Erik Maronde4.   

Abstract

The human pineal gland regulates the day-night dynamics of multiple physiological processes, especially through the secretion of melatonin. Recently, using mass spectrometry-based proteomics and dedicated analysis tools, we have identified regulated proteins and signaling pathways that differ between day and night and/or between control and autistic pineal glands. This large-scale proteomic approach is the method of choice to study proteins in a biological system globally. This chapter proposes a protocol for large-scale analysis of the pineal gland proteome.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Autism; Human; Mass spectrometry; Pineal gland; Protein

Mesh：

Substances：

Year:  2022        PMID： 36180685     DOI： 10.1007/978-1-0716-2593-4_16

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


  22 in total

1.  Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.

Authors:  Ludovic C Gillet; Pedro Navarro; Stephen Tate; Hannes Röst; Nathalie Selevsek; Lukas Reiter; Ron Bonner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

2.  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

3.  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

4.  In-depth evaluation of software tools for data-independent acquisition based label-free quantification.

Authors:  Jörg Kuharev; Pedro Navarro; Ute Distler; Olaf Jahn; Stefan Tenzer
Journal:  Proteomics       Date:  2015-02-05       Impact factor: 3.984

5.  Comparative evaluation of label-free quantification methods for shotgun proteomics.

Authors:  Julia A Bubis; Lev I Levitsky; Mark V Ivanov; Irina A Tarasova; Mikhail V Gorshkov
Journal:  Rapid Commun Mass Spectrom       Date:  2017-04-15       Impact factor: 2.419

6.  Single-pot, solid-phase-enhanced sample preparation for proteomics experiments.

Authors:  Christopher S Hughes; Sophie Moggridge; Torsten Müller; Poul H Sorensen; Gregg B Morin; Jeroen Krijgsveld
Journal:  Nat Protoc       Date:  2019-01       Impact factor: 13.491

7.  Suspension trapping (STrap) sample preparation method for bottom-up proteomics analysis.

Authors:  Alexandre Zougman; Peter J Selby; Rosamonde E Banks
Journal:  Proteomics       Date:  2014-03-26       Impact factor: 3.984

Review 8.  Mass-spectrometric exploration of proteome structure and function.

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

9.  Characterization of human melatonin synthesis using autoptic pineal tissue.

Authors:  Katrin Ackermann; Roman Bux; Udo Rüb; Horst-Werner Korf; Gerold Kauert; Jörg H Stehle
Journal:  Endocrinology       Date:  2006-03-23       Impact factor: 4.736

10.  Automated sample preparation with SP3 for low-input clinical proteomics.

Authors:  Torsten Müller; Mathias Kalxdorf; Rémi Longuespée; Daniel N Kazdal; Albrecht Stenzinger; Jeroen Krijgsveld
Journal:  Mol Syst Biol       Date:  2020-01       Impact factor: 11.429
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