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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: Deciphering Brain Function and Disorders
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    Chapter 2 Dissection of Rodent Brain Regions
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    Chapter 3 Subcellular Fractionation of Brain Tissue Using Free-Flow Electrophoresis
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    Chapter 4 Isolation of Synapse Subdomains by Subcellular Fractionation Using Sucrose Density Gradient Centrifugation
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    Chapter 5 Enrichment of Plasma Membranes from Small Brain Samples by Aqueous Polymer Two-Phase Systems
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    Chapter 6 Identification and Characterization of Protein Complexes from Total Brain and Synaptoneurosomes: Heterogeneity of Molecular Complexes in Distinct Subcellular Domains
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    Chapter 7 Analysis of Protein Complexes by 2D Blue Native/SDS–PAGE and Antibody-Shift Assay
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    Chapter 8 Two-Dimensional Gel Electrophoresis-Based Proteomic Analysis of Brain Synapses
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    Chapter 9 Two-Dimensional BAC-SDS Polyacrylamide Gel Electrophoresis for the Fractionation and Identification of Synaptic Vesicle Proteins and the Presynaptic Active Zone
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    Chapter 10 iTRAQ-Based LC-LC MALDI TOF/TOF MS Quantitative Analysis of Membrane Proteins from Human Glioma
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    Chapter 11 OFFGEL-Isoelectric Focusing Fractionation for the Analysis of Complex Proteome
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    Chapter 12 A 1D-PAGE/LC-ESI Linear Ion Trap Orbitrap MS Approach for the Analysis of Synapse Proteomes and Synaptic Protein Complexes
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    Chapter 13 SDS-PAGE Immunoblot Analysis
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    Chapter 14 Phosphoproteomics by Highly Selective IMAC Protocol
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    Chapter 15 Global Analysis of Ubiquitination
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    Chapter 16 High-Throughput High-Content Functional Image Analysis of Neuronal Proteins Implicated in Parkinson’s Disease
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    Chapter 17 Neuropeptidomics of the Mammalian Brain
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    Chapter 18 In-Depth Analysis of the Cerebrospinal Fluid Proteome and Biomarker Discovery: Abundant Protein Depletion Sample Pretreatment Method
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    Chapter 19 Neuroproteomics
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    Chapter 20 Bioinformatics Procedures for Analysis of Quantitative Proteomics Experiments Using iTRAQ
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    Chapter 21 Statistical Analysis of Spectral Count Data Generated by Label-Free Tandem Mass Spectrometry-Based Proteomics
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Title
Neuroproteomics
Published by
Humana Press, May 2011
DOI 10.1007/978-1-61779-111-6
ISBNs
978-1-61779-110-9, 978-1-61779-111-6, 978-1-4939-5834-4
Editors

Li, Ka Wan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 <1%
Pakistan 1 <1%
Unknown 248 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 10%
Researcher 14 6%
Student > Master 12 5%
Student > Bachelor 9 4%
Student > Doctoral Student 7 3%
Other 10 4%
Unknown 175 70%
Readers by discipline Count As %
Neuroscience 21 8%
Agricultural and Biological Sciences 18 7%
Medicine and Dentistry 13 5%
Biochemistry, Genetics and Molecular Biology 8 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 6 2%
Unknown 181 72%