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Stress Responses

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Cover of 'Stress Responses'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Methods for Studying ER Stress and UPR Markers in Human Cells
  3. Altmetric Badge
    Chapter 2 Assays for Induction of the Unfolded Protein Response and Selective Activation of the Three Major Pathways
  4. Altmetric Badge
    Chapter 3 Assays to Characterize Molecular Chaperone Function In Vitro
  5. Altmetric Badge
    Chapter 4 Analysis of the Heat Shock Factor Complex in Mammalian HSP70 Promoter.
  6. Altmetric Badge
    Chapter 5 Immunofluorescence-Based Methods to Monitor DNA End Resection
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    Chapter 6 Visualizing the spatiotemporal dynamics of DNA damage in budding yeast.
  8. Altmetric Badge
    Chapter 7 Detecting reactive oxygen species by immunohistochemistry.
  9. Altmetric Badge
    Chapter 8 Investigating Inflammasome Activation Under Conditions of Cellular Stress and Injury
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    Chapter 9 Methods for Studying microRNA Functions During Stress.
  11. Altmetric Badge
    Chapter 10 Measuring autophagy in stressed cells.
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    Chapter 11 Detection of Apoptosis Using Fluorescent Probes
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    Chapter 12 Measuring Death of Pancreatic Beta Cells in Response to Stress and Cytotoxic T Cells
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    Chapter 13 Adaptation of the Secretory Pathway in Cancer Through IRE1 Signaling
  15. Altmetric Badge
    Chapter 14 Studying nitrosative stress in Parkinson's disease.
  16. Altmetric Badge
    Chapter 15 Cross Talk Between ER Stress, Oxidative Stress, and Inflammation in Health and Disease
  17. Altmetric Badge
    Chapter 16 Stress Responses During Ageing: Molecular Pathways Regulating Protein Homeostasis
  18. Altmetric Badge
    Chapter 17 Targeting Stress Responses for Regenerative Medicine
Attention for Chapter 14: Studying nitrosative stress in Parkinson's disease.
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Chapter title
Studying nitrosative stress in Parkinson's disease.
Chapter number 14
Book title
Stress Responses
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2522-3_14
Pubmed ID
Book ISBNs
978-1-4939-2521-6, 978-1-4939-2522-3
Authors

Kenny K K Chung, Kenny K. K. Chung

Abstract

Parkinson's disease (PD) is marked by a selective degeneration of dopaminergic neurons in the brain stem and it is the second most common neurodegenerative disorder. The pathogenic mechanism of PD is not completely known but it is believed that oxidative stress involving the imbalance of nitric oxide (NO) signaling is involved. Recent studies have suggested that NO, through the modification of protein's cysteine residues can contribute to the pathogenesis of PD. This NO modification, designated as S-nitrosylation, is emerging as an important signaling mechanism that regulates increasing number of cellular processes such as vesicle trafficking, receptor mediated signal transduction, gene transcription, and cell death. In our studies, we found that increased nitrosative stress promotes the S-nitrosylation of neuroprotective proteins and compromises their function which contributes to the development of PD. One of the obstacles in studying S-nitrosylation signaling is how to detect this modification in biological samples. Here, two simple and commonly used methods in detecting S-nitrosylated proteins are introduced for the study of this NO signaling mechanism.

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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 %
Student > Master 2 29%
Student > Ph. D. Student 1 14%
Student > Doctoral Student 1 14%
Researcher 1 14%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Immunology and Microbiology 1 14%
Neuroscience 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 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 26 March 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from Methods in molecular biology
#9,899
of 13,117 outputs
Outputs of similar age
#295,785
of 353,059 outputs
Outputs of similar age from Methods in molecular biology
#635
of 996 outputs
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