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Neuroproteomics

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Cover of 'Neuroproteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Neuroproteomics Studies: Challenges and Updates
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    Chapter 2 Progress and Potential of Imaging Mass Spectrometry Applied to Biomarker Discovery
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    Chapter 3 Biofluid Proteomics and Biomarkers in Traumatic Brain Injury
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    Chapter 4 Degradomics in Neurotrauma: Profiling Traumatic Brain Injury
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    Chapter 5 Evolving Relevance of Neuroproteomics in Alzheimer’s Disease
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    Chapter 6 Genome to Phenome: A Systems Biology Approach to PTSD Using an Animal Model
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    Chapter 7 Photoaffinity Labeling of Pentameric Ligand-Gated Ion Channels: A Proteomic Approach to Identify Allosteric Modulator Binding Sites
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    Chapter 8 Quantitative Phosphoproteomic Analysis of Brain Tissues
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    Chapter 9 Glycoproteins Enrichment and LC-MS/MS Glycoproteomics in Central Nervous System Applications
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    Chapter 10 A Novel 2-DE-Based Proteomic Analysis to Identify Multiple Substrates for Specific Protease in Neuronal Cells
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    Chapter 11 Neuroproteomic Profiling of Cerebrospinal Fluid (CSF) by Multiplexed Affinity Arrays
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    Chapter 12 Isolation and Proteomic Analysis of Microvesicles and Exosomes from HT22 Cells and Primary Neurons
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    Chapter 13 Combined MALDI Mass Spectrometry Imaging and Parafilm-Assisted Microdissection-Based LC-MS/MS Workflows in the Study of the Brain
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    Chapter 14 De Novo and Uninterrupted SILAC Labeling of Primary Microglia
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    Chapter 15 Spike-In SILAC Approach for Proteomic Analysis of Ex Vivo Microglia
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    Chapter 16 A Proteomic Evaluation of Sympathetic Activity Biomarkers of the Hypothalamus-Pituitary-Adrenal Axis by Western Blotting Technique Following Experimental Traumatic Brain Injury
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    Chapter 17 Efficient and Accurate Algorithm for Cleaved Fragments Prediction (CFPA) in Protein Sequences Dataset Based on Consensus and Its Variants: A Novel Degradomics Prediction Application
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    Chapter 18 Effect of Second-Hand Tobacco Smoke on the Nitration of Brain Proteins: A Systems Biology and Bioinformatics Approach
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    Chapter 19 An Advanced Omic Approach to Identify Co-Regulated Clusters and Transcription Regulation Network with AGCT and SHOE Methods
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    Chapter 20 AutoDock and AutoDockTools for Protein-Ligand Docking: Beta-Site Amyloid Precursor Protein Cleaving Enzyme 1(BACE1) as a Case Study
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    Chapter 21 An Integration of Decision Tree and Visual Analysis to Analyze Intracranial Pressure
Attention for Chapter 13: Combined MALDI Mass Spectrometry Imaging and Parafilm-Assisted Microdissection-Based LC-MS/MS Workflows in the Study of the Brain
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Chapter title
Combined MALDI Mass Spectrometry Imaging and Parafilm-Assisted Microdissection-Based LC-MS/MS Workflows in the Study of the Brain
Chapter number 13
Book title
Neuroproteomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6952-4_13
Pubmed ID
Book ISBNs
978-1-4939-6950-0, 978-1-4939-6952-4
Authors

Jusal Quanico, Julien Franck, Maxence Wisztorski, Michel Salzet, Isabelle Fournier

Editors

Firas H. Kobeissy, Stanley M. Stevens, Jr.

Abstract

Proteins and other biomolecules such as lipids are significant players in the central nervous system and are implicated in various neurological disorders. Their identification, quantification, and distribution are thus important not only in understanding the disease but also in developing treatments. A combined workflow allowing the localized microextraction of discrete regions identified by a matrix-assisted laser desorption/ionization mass spectrometry (MSI) imaging experiment for proteomics analysis by liquid chromatography/tandem mass spectrometry (LC MS/MS) is described in this chapter. MSI was initially used to map lipid distributions allowing for the identification of regions of interest (ROIs) that are then subjected to microextraction in a consecutive tissue section. Mounting of consecutive tissue on parafilm allows microdissection of the ROIs, where proteins can then be recovered for processing and LC MS/MS analysis. The PAM method provides a fast and cheap means to perform further downstream analysis after an MSI experiment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Professor 5 24%
Student > Bachelor 3 14%
Student > Postgraduate 3 14%
Researcher 2 10%
Professor > Associate Professor 2 10%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Chemistry 7 33%
Biochemistry, Genetics and Molecular Biology 4 19%
Environmental Science 1 5%
Computer Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 2 10%
Unknown 5 24%