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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 The Methodology of Neuroproteomics
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    Chapter 2 Modeling Cerebral Ischemia in Neuroproteomics
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    Chapter 3 Clinical and Model Research of Neurotrauma
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    Chapter 4 Neuroproteomic Methods in Spinal Cord Injury
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    Chapter 5 Modeling Substance Abuse for Applications in Proteomics
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    Chapter 6 Protein Aggregate Characterization in Models of Neurodegenerative Disease
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    Chapter 7 Sub-Proteome Processing: Isolation of Neuromelanin Granules from the Human Brain
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    Chapter 8 Proteomic Analysis of Protein Phosphorylation and Ubiquitination in Alzheimer’s Disease
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    Chapter 9 Proteomics Identification of Carbonylated and HNE-Bound Brain Proteins in Alzheimer’s Disease
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    Chapter 10 Mass Spectrometric Identification of In Vivo Nitrotyrosine Sites in the Human Pituitary Tumor Proteome
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    Chapter 11 Improved Enrichment and Proteomic Analysis of Brain Proteins with Signaling Function by Heparin Chromatography
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    Chapter 12 Calmodulin-Binding Proteome in the Brain
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    Chapter 13 Separation of the Neuroproteome by Ion Exchange Chromatography
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    Chapter 14 iTRAQ-Based Shotgun Neuroproteomics
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    Chapter 15 Methods in Drug Abuse Neuroproteomics: Methamphetamine Psychoproteome
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    Chapter 16 Shotgun Protein Identification and Quantification by Mass Spectrometry in Neuroproteomics
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    Chapter 17 Identification of Glycoproteins in Human Cerebrospinal Fluid
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    Chapter 18 Mass Spectrometric Analysis of Body Fluids for Biomarker Discovery
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    Chapter 19 Traumatic Brain Injury Biomarkers: From Pipeline to Diagnostic Assay Development
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    Chapter 20 Translation of Neurological Biomarkers to Clinically Relevant Platforms
Attention for Chapter 17: Identification of Glycoproteins in Human Cerebrospinal Fluid
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Chapter title
Identification of Glycoproteins in Human Cerebrospinal Fluid
Chapter number 17
Book title
Neuroproteomics
Published in
Methods in molecular biology, January 2009
DOI 10.1007/978-1-59745-562-6_17
Pubmed ID
Book ISBNs
978-1-934115-84-8, 978-1-59745-562-6
Authors

Hye Jin Hwang, Thomas Quinn, Jing Zhang, Hwang, Hye Jin, Quinn, Thomas, Zhang, Jing

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
South Africa 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 37%
Researcher 4 13%
Professor > Associate Professor 3 10%
Professor 3 10%
Other 2 7%
Other 6 20%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 8 27%
Agricultural and Biological Sciences 6 20%
Biochemistry, Genetics and Molecular Biology 6 20%
Neuroscience 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Other 1 3%
Unknown 2 7%