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Neuroproteomics

Overview of attention for book
Cover of 'Neuroproteomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Neuroproteomics Studies: Challenges and Updates
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    Chapter 2 Progress and Potential of Imaging Mass Spectrometry Applied to Biomarker Discovery
  4. Altmetric Badge
    Chapter 3 Biofluid Proteomics and Biomarkers in Traumatic Brain Injury
  5. Altmetric Badge
    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
  19. Altmetric Badge
    Chapter 18 Effect of Second-Hand Tobacco Smoke on the Nitration of Brain Proteins: A Systems Biology and Bioinformatics Approach
  20. Altmetric Badge
    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
  22. Altmetric Badge
    Chapter 21 An Integration of Decision Tree and Visual Analysis to Analyze Intracranial Pressure
Attention for Chapter 10: A Novel 2-DE-Based Proteomic Analysis to Identify Multiple Substrates for Specific Protease in Neuronal Cells
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Chapter title
A Novel 2-DE-Based Proteomic Analysis to Identify Multiple Substrates for Specific Protease in Neuronal Cells
Chapter number 10
Book title
Neuroproteomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6952-4_10
Pubmed ID
Book ISBNs
978-1-4939-6950-0, 978-1-4939-6952-4, 978-1-4939-6950-0, 978-1-4939-6952-4
Authors

Chiho Kim, Young J. Oh

Editors

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

Abstract

Proteolysis is a process where proteins are broken down into smaller polypeptides or amino acids, comprising one of the important posttranslational modifications of proteins. Since this process is exquisitely achieved by specialized enzymes called proteases under physiological conditions, abnormal protease activity and dysregulation of their substrate proteins are closely associated with a progression of several neurodegenerative diseases including Alzheimer disease, Parkinson disease, stroke, and spinal cord injury. Thus, it is important to identify the specific substrates of proteases with nonbiased high-throughput screenings to understand how proteolysis contributes to neurodegeneration. Here, we described a so-called gel-based protease proteomic approach. Critical steps of our novel strategy consist of two-dimensional polyacrylamide gel electrophoresis (2-DE)-based protein separation and in vitro incubation with the specific protease of interest. As a prototypic example, cellular lysates obtained from neuronal cells are separated by an isoelectric focusing, and the resulting immobilized proteins on a gel strip are incubated with a predetermined amount of a recombinant or a purified protease. By densitometric analysis of the Coomassie Brilliant Blue-stained gel images following separation by 2-DE, significantly altered protein spots are subjected to a mass spectral analysis for protein identification. Interestingly, the concepts of our strategy can be applied to any proteases, and to any neural cells or neural tissues of one's interest. Since the immobilized protein spots are exposed to the purified protease, this protocol ensures the identification of only substrates that are directly cleaved by specific protease. This protocol ensures to avoid the possibility of identifying substrates that may be cleaved by combinatorial or sequential activation of proteolytic enzymes present in a liquid state of the lysates. We propose that our strategy can be effectively utilized to provide meaningful insights into newly identified protease substrates and to decipher molecular mechanisms critically involved in neurodegenerative processes.

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Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 17%
Student > Bachelor 1 17%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Researcher 1 17%
Other 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 17%
Nursing and Health Professions 1 17%
Agricultural and Biological Sciences 1 17%
Medicine and Dentistry 1 17%
Neuroscience 1 17%
Other 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 May 2017.
All research outputs
#15,459,013
of 22,971,207 outputs
Outputs from Methods in molecular biology
#5,378
of 13,146 outputs
Outputs of similar age
#257,209
of 421,094 outputs
Outputs of similar age from Methods in molecular biology
#468
of 1,074 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,146 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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