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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
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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
  19. Altmetric Badge
    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
  22. Altmetric Badge
    Chapter 21 An Integration of Decision Tree and Visual Analysis to Analyze Intracranial Pressure
Attention for 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 title
Effect of Second-Hand Tobacco Smoke on the Nitration of Brain Proteins: A Systems Biology and Bioinformatics Approach
Chapter number 18
Book title
Neuroproteomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6952-4_18
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

Firas H. Kobeissy, Joy Guingab-Cagmat, Adriaan W. Bruijnzeel, Mark S. Gold, Kevin Wang

Editors

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

Abstract

Second-hand smoke (SHS) exposure leads to the death of approximately 48,000 nonsmokers per year in the United States alone. SHS exposure has been associated with cardiovascular, respiratory, and neurodegenerative diseases. While cardiac function abnormalities and lung cancer due to SHS have been well characterized, brain injury due to SHS has not undergone a full systematic evaluation. Oxidative stress and nitration have been associated with smoking and SHS exposure. Animal studies suggest that exposure to tobacco smoke increases oxidative stress. Oxidative stress is characterized by an increase in reactive oxygen and nitrogen species (ROS/RNS). Among the oxidative mechanisms affecting protein functionality is the posttranslational modification (PTM)-mediated tyrosine nitration. Protein tyrosine nitration, a covalent posttranslational modification, is commonly used as a marker of cellular oxidative stress associated with the pathogenesis of several neurodegenerative diseases. In our previous published work, the utility of a targeted proteomic approach has been evaluated to identify two brain abundant proteins in an in vivo SHS rat model namely the GAPDH and UCH-L1. In this current study, mass spectrometric-based proteomic and complementary biochemical methods were used to characterize the SHS-induced brain nitroproteome followed by bioinformatics/systems biology approach analysis to characterize protein interaction map. Sprague Dawley rats were exposed to SHS for 5 weeks and then cortical tissues were collected. Nitroprotein enrichment was performed via 3-Nitro tyrosine (3-NT) immunoprecipitation of brain lysates proteins. Protein nitration was validated via Western blotting to confirm the presence of nitroproteins complemented by gel-free neuroproteomic analysis by data-dependent LC-MS/MS. We identified 29 differentially expressed proteins in the 3-NT-enriched samples; seven of these proteins were unique to SHS exposure. Network analysis revealed an association of the proteins to different cellular processes including oxidative stress, ROS generation, and cell death-related pathway. This confirms the association of oxidative stress mechanisms with SHS which may contribute to neuronal injury, an area that has not been well studied in the area smoking.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Professor > Associate Professor 2 9%
Lecturer 1 5%
Unspecified 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 11 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 18%
Nursing and Health Professions 2 9%
Agricultural and Biological Sciences 2 9%
Unspecified 1 5%
Computer Science 1 5%
Other 2 9%
Unknown 10 45%
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 19 May 2017.
All research outputs
#17,892,691
of 22,971,207 outputs
Outputs from Methods in molecular biology
#7,269
of 13,146 outputs
Outputs of similar age
#294,279
of 421,092 outputs
Outputs of similar age from Methods in molecular biology
#641
of 1,074 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,092 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.