Literature DB >> 22247077

To label or not to label: applications of quantitative proteomics in neuroscience research.

Michaela D Filiou1, Daniel Martins-de-Souza, Paul C Guest, Sabine Bahn, Christoph W Turck.   

Abstract

Proteomics has provided researchers with a sophisticated toolbox of labeling-based and label-free quantitative methods. These are now being applied in neuroscience research where they have already contributed to the elucidation of fundamental mechanisms and the discovery of candidate biomarkers. In this review, we evaluate and compare labeling-based and label-free quantitative proteomic techniques for applications in neuroscience research. We discuss the considerations required for the analysis of brain and central nervous system specimens, the experimental design of quantitative proteomic workflows as well as the feasibility, advantages, and disadvantages of the available techniques for neuroscience-oriented questions. Furthermore, we assess the use of labeled standards as internal controls for comparative studies in humans and review applications of labeling-based and label-free mass spectrometry approaches in relevant model organisms and human subjects. Providing a comprehensive guide of feasible and meaningful quantitative proteomic methodologies for neuroscience research is crucial not only for overcoming current limitations but also for gaining useful insights into brain function and translating proteomics from bench to bedside.
Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22247077     DOI: 10.1002/pmic.201100350

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


  24 in total

1.  Translational Epidemiology in Ophthalmology: From Etiologic Research to Personalized Health Impact.

Authors:  Mohammad Kamran Ikram; Seang Mei Saw
Journal:  Transl Vis Sci Technol       Date:  2012-06-01       Impact factor: 3.283

2.  Maternal serum serpin B7 is associated with early spontaneous preterm birth.

Authors:  Samuel Parry; Heping Zhang; Joseph Biggio; Radek Bukowski; Michael Varner; Yaji Xu; William W Andrews; George R Saade; M Sean Esplin; Rita Leite; John Ilekis; Uma M Reddy; Yoel Sadovsky; Ian A Blair
Journal:  Am J Obstet Gynecol       Date:  2014-06-19       Impact factor: 8.661

Review 3.  Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches.

Authors:  Armand G Ngounou Wetie; Izabela Sokolowska; Alisa G Woods; Urmi Roy; Katrin Deinhardt; Costel C Darie
Journal:  Cell Mol Life Sci       Date:  2013-04-12       Impact factor: 9.261

Review 4.  Recent advances in quantitative neuroproteomics.

Authors:  George E Craft; Anshu Chen; Angus C Nairn
Journal:  Methods       Date:  2013-04-25       Impact factor: 3.608

Review 5.  Integrative biological analysis for neuropsychopharmacology.

Authors:  Mark R Emmett; Roger A Kroes; Joseph R Moskal; Charles A Conrad; Waldemar Priebe; Fernanda Laezza; Anke Meyer-Baese; Carol L Nilsson
Journal:  Neuropsychopharmacology       Date:  2013-06-26       Impact factor: 7.853

6.  Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.

Authors:  Robert Cunningham; Di Ma; Lingjun Li
Journal:  Front Biol (Beijing)       Date:  2012-08-01

7.  Label-free quantification in ion mobility-enhanced data-independent acquisition proteomics.

Authors:  Ute Distler; Jörg Kuharev; Pedro Navarro; Stefan Tenzer
Journal:  Nat Protoc       Date:  2016-03-24       Impact factor: 13.491

Review 8.  What Have Mass Spectrometry-Based Proteomics and Metabolomics (Not) Taught Us about Psychiatric Disorders?

Authors:  Christoph W Turck; Michaela D Filiou
Journal:  Mol Neuropsychiatry       Date:  2015-05-12

Review 9.  A decade of proteomics studies of glaucomatous neurodegeneration.

Authors:  Gülgün Tezel
Journal:  Proteomics Clin Appl       Date:  2014-02-16       Impact factor: 3.494

10.  Mapping in vivo target interaction profiles of covalent inhibitors using chemical proteomics with label-free quantification.

Authors:  Eva J van Rooden; Bogdan I Florea; Hui Deng; Marc P Baggelaar; Annelot C M van Esbroeck; Juan Zhou; Herman S Overkleeft; Mario van der Stelt
Journal:  Nat Protoc       Date:  2018-03-22       Impact factor: 13.491

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