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Nitric Oxide

Overview of attention for book
Cover of 'Nitric Oxide'

Table of Contents

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    Book Overview
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    Chapter 1 A Simple and Useful Method to Apply Exogenous NO Gas to Plant Systems: Bell Pepper Fruits as a Model.
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    Chapter 2 Measurements of Intra-oocyte Nitric Oxide Concentration Using Nitric Oxide Selective Electrode
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    Chapter 3 Real-Time Imaging of Nitric Oxide Signals in Individual Cells Using geNOps
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    Chapter 4 Detection of Nitric Oxide by Membrane Inlet Mass Spectrometry.
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    Chapter 5 Quantum Cascade Lasers-Based Detection of Nitric Oxide
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    Chapter 6 Detection of Nitric Oxide via Electronic Paramagnetic Resonance in Mollusks
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    Chapter 7 Identification of S-Nitrosylated and Reversibly Oxidized Proteins by Fluorescence Switch and Complementary Techniques
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    Chapter 8 A Proteomics Workflow for Dual Labeling Biotin Switch Assay to Detect and Quantify Protein S-Nitroylation
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    Chapter 9 Surface Plasmon Resonance Spectroscopy for Detection of S-Nitrosylated Proteins
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    Chapter 10 Measurement of S -Nitrosoglutathione in Plasma by Liquid Chromatography–Tandem Mass Spectrometry
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    Chapter 11 Analysis of Recombinant Protein S-Nitrosylation Using the Biotin-Switch Technique
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    Chapter 12 Direct Measurement of S-Nitrosothiols with an Orbitrap Fusion Mass Spectrometer: S-Nitrosoglutathione Reductase as a Model Protein
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    Chapter 13 Identification of Tyrosine and Nitrotyrosine with a Mixed-Mode Solid-Phase Extraction Cleanup Followed by Liquid Chromatography–Electrospray Time-of-Flight Mass Spectrometry in Plants
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    Chapter 14 Electrophoretic Detection and Confocal Microscopic Imaging of Tyrosine Nitrated Proteins in Plant Tissue
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    Chapter 15 Identification of NO-Sensitive Cysteine Residues Using Cysteine Mutants of Recombinant Proteins
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    Chapter 16 Detection of S-Nitrosated Nuclear Proteins in Pathogen-Treated Arabidopsis Cell Cultures Using Biotin Switch Technique.
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    Chapter 17 Nitric Oxide Analyzer Quantification of Plant S-Nitrosothiols
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    Chapter 18 Nitro-Fatty Acid Detection in Plants by High-Pressure Liquid Chromatography Coupled to Triple Quadrupole Mass Spectrometry
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    Chapter 19 Bioinformatic Prediction of S-Nitrosylation Sites in Large Protein Datasets
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    Chapter 20 Biotin Switch Processing and Mass Spectrometry Analysis of S-Nitrosated Thioredoxin and Its Transnitrosation Targets
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    Chapter 21 Immunodetection of S-Nitrosoglutathione Reductase Protein in Plant Samples
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    Chapter 22 Thioredoxin-Dependent Decomposition of Protein S-Nitrosothiols
Attention for Chapter 20: Biotin Switch Processing and Mass Spectrometry Analysis of S-Nitrosated Thioredoxin and Its Transnitrosation Targets
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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Citations

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Chapter title
Biotin Switch Processing and Mass Spectrometry Analysis of S-Nitrosated Thioredoxin and Its Transnitrosation Targets
Chapter number 20
Book title
Nitric Oxide
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7695-9_20
Pubmed ID
Book ISBNs
978-1-4939-7694-2, 978-1-4939-7695-9
Authors

Changgong Wu, Tong Liu, Yan Wang, Lin Yan, Chuanlong Cui, Annie Beuve, Hong Li, Wu, Changgong, Liu, Tong, Wang, Yan, Yan, Lin, Cui, Chuanlong, Beuve, Annie, Li, Hong

Abstract

S-Nitrosation is a key posttranslational modification in regulating proteins in both normal physiology and diverse human diseases. To identify novel therapies for human diseases linked to oxidative and nitrosative stress, understanding how cells control S-nitrosation specificity could be critical. Among the enzymes known to control S-nitrosation of proteins, thioredoxin 1 (Trx1), a conserved disulfide reductase, transnitrosates and denitrosates distinct sets of target proteins. To recognize the function of Trx1 in both normal and dysfunctional cells, S-nitrosation targets of Trx1 in different cells need to be identified. However, S-nitrosation is usually too labile to be detected directly by mass spectrometry (MS). Here we present two optimized MS techniques to identify S-nitrosated Trx1 and its transnitrosation targets, using both direct and indirect MS methods.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 14%
Student > Ph. D. Student 1 14%
Professor > Associate Professor 1 14%
Student > Doctoral Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Social Sciences 1 14%
Chemistry 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2018.
All research outputs
#7,573,552
of 23,096,849 outputs
Outputs from Methods in molecular biology
#2,350
of 13,208 outputs
Outputs of similar age
#153,850
of 442,670 outputs
Outputs of similar age from Methods in molecular biology
#230
of 1,499 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% of its peers.
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 442,670 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.