Literature DB >> 21376080

Comparison of extraction methods for peptidomics analysis of mouse brain tissue.

Annemie Van Dijck1, Eisuke Hayakawa, Bart Landuyt, Geert Baggerman, Debby Van Dam, Walter Luyten, Liliane Schoofs, Peter Paul De Deyn.   

Abstract

The peptidome encompasses all the peptides present in a particular cell, tissue or organism at a particular point in time. Neuropeptidomics studies the peptidome of the nervous system and will become increasingly important in neuroscience research. Novel peptides can be discovered and, when applied to disease models, key players in pathophysiological mechanisms will be identified. That way, they can serve as drug targets or biomarkers. Presently, different extraction protocols are in use, but no consensus has been reached on what fixation and extraction protocol is best suited for brain tissue. Therefore, in this article we compare different methods for quenching of proteolytic activity (snap-freezing of whole mouse in liquid nitrogen immediately after cervical dislocation, freezing of the dissected brain in 2-methyl-butane and heat denaturation of the tissue by microwave treatment) in combination with different extraction methods. The protocol that combines submersion in liquid nitrogen with extraction in 0.25% acetic acid results in the highest number of unique identifications, a high conservation of posttranslational modifications, the best reproducibility between duplicate samples and the best comparison with former studies on mouse brain peptides. For these reasons, we recommend the use of this protocol in future neuropeptidomics studies.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21376080     DOI: 10.1016/j.jneumeth.2011.02.023

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  8 in total

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Authors:  Sven Van Bael; Sven Zels; Kurt Boonen; Isabel Beets; Liliane Schoofs; Liesbet Temmerman
Journal:  J Am Soc Mass Spectrom       Date:  2018-01-03       Impact factor: 3.109

2.  An Optimized Informatics Pipeline for Mass Spectrometry-Based Peptidomics.

Authors:  Chaochao Wu; Matthew E Monroe; Zhe Xu; Gordon W Slysz; Samuel H Payne; Karin D Rodland; Tao Liu; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2015-05-27       Impact factor: 3.109

Review 3.  Recent advances in mass spectrometry analysis of neuropeptides.

Authors:  Ashley Phetsanthad; Nhu Q Vu; Qing Yu; Amanda R Buchberger; Zhengwei Chen; Caitlin Keller; Lingjun Li
Journal:  Mass Spectrom Rev       Date:  2021-09-24       Impact factor: 9.011

4.  Limitations of Mass Spectrometry-Based Peptidomic Approaches.

Authors:  Lloyd D Fricker
Journal:  J Am Soc Mass Spectrom       Date:  2015-08-25       Impact factor: 3.109

5.  Mouse Hemokinin-1 Decapeptide Subjected to a Brain-specific Post-translational Modification.

Authors:  Georgia Deliconstantinos; Stephen Barton; Mikhail Soloviev; Nigel Page
Journal:  In Vivo       Date:  2017 Sep-Oct       Impact factor: 2.155

6.  A Peptidomic Approach to Characterize Peptides Involved in Cerebellar Cortex Development Leads to the Identification of the Neurotrophic Effects of Nociceptin.

Authors:  Auriane Corbière; Marie-Laure Walet-Balieu; Philippe Chan; Magali Basille-Dugay; Julie Hardouin; David Vaudry
Journal:  Mol Cell Proteomics       Date:  2018-06-12       Impact factor: 5.911

7.  Exploring Exercise- and Context-Induced Peptide Changes in Mice by Quantitative Mass Spectrometry.

Authors:  Sarah E Dowd; Martina L Mustroph; Elena V Romanova; Bruce R Southey; Heinrich Pinardo; Justin S Rhodes; Jonathan V Sweedler
Journal:  ACS Omega       Date:  2018-10-24

8.  Analysis of the Yeast Peptidome and Comparison with the Human Peptidome.

Authors:  Sayani Dasgupta; Ciyu Yang; Leandro M Castro; Alexandre K Tashima; Emer S Ferro; Robyn D Moir; Ian M Willis; Lloyd D Fricker
Journal:  PLoS One       Date:  2016-09-29       Impact factor: 3.240

  8 in total

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