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Programmed Necrosis

Overview of attention for book
Cover of 'Programmed Necrosis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Tools in the Art of Studying Necroptosis
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    Chapter 2 Loss-of-Function RNAi Screen to Identify Necrosis-Signaling Molecules
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    Chapter 3 Chemical Library Screens to Identify Pharmacological Modulators of Necroptosis
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    Chapter 4 Distinguishing Necroptosis from Apoptosis
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    Chapter 5 Methods for Studying TNF-Mediated Necroptosis in Cultured Cells
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    Chapter 6 Analysis of Necroptosis in Bone Marrow-Derived Macrophages
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    Chapter 7 Generation and Use of Chimeric RIP Kinase Molecules to Study Necroptosis
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    Chapter 8 Detection of MLKL Oligomerization During Programmed Necrosis
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    Chapter 9 Analysis of Cytokine- and Influenza A Virus-Driven RIPK3 Necrosome Formation
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    Chapter 10 Detection of RIPK1 in the FADD-Containing Death Inducing Signaling Complex (DISC) During Necroptosis
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    Chapter 11 Use of RIP1 Kinase Small-Molecule Inhibitors in Studying Necroptosis
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    Chapter 12 Analyzing Necroptosis Using an RIPK1 Kinase Inactive Mouse Model of TNF Shock
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    Chapter 13 Assessment of In Vivo Kidney Cell Death: Acute Kidney Injury
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    Chapter 14 Assessment of In Vivo Kidney Cell Death: Glomerular Injury
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    Chapter 15 Detection of Necroptosis by Phospho-RIPK3 Immunohistochemical Labeling
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    Chapter 16 Characterization of the TNFR1-SC Using “Modified Tandem Affinity Purification” in Conjunction with Liquid Chromatography–Mass Spectrometry (LC-MS)
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    Chapter 17 Monitoring RIPK1 Phosphorylation in the TNFR1 Signaling Complex
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    Chapter 18 Analysis of CYLD Proteolysis by CASPASE 8 in Bone Marrow-Derived Macrophages
Attention for Chapter 9: Analysis of Cytokine- and Influenza A Virus-Driven RIPK3 Necrosome Formation
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Chapter title
Analysis of Cytokine- and Influenza A Virus-Driven RIPK3 Necrosome Formation
Chapter number 9
Book title
Programmed Necrosis
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8754-2_9
Pubmed ID
Book ISBNs
978-1-4939-8753-5, 978-1-4939-8754-2
Authors

Roshan J. Thapa, Shoko Nogusa, Siddharth Balachandran, Thapa, Roshan J., Nogusa, Shoko, Balachandran, Siddharth

Abstract

In multicellular organisms, regulated cell death plays a vital role in development, adult tissue homeostasis, and clearance of damaged or infected cells. Necroptosis is one such form of regulated cell death, characterized by its reliance on receptor-interacting protein kinase 3 (RIPK3). Once activated, RIPK3 nucleates a protein complex, termed the "necrosome," which includes the adaptors RIPK1 and FADD, and the effector protein MLKL. From the necrosome, RIPK3 phosphorylates MLKL to drive necroptosis, and can also induce RIPK1/FADD-mediated apoptosis, via caspase-8. Assembly of the necrosome thus serves as a useful readout of RIPK3 activation. In this chapter, we describe molecular methods for examining necrosome activation in response to the cytokines TNF-α, IFN-β, and IFN-γ, and upon infection with influenza A virus (IAV).

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The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Professor 1 17%
Researcher 1 17%
Student > Master 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 50%
Immunology and Microbiology 2 33%
Agricultural and Biological Sciences 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 24 August 2018.
All research outputs
#18,647,094
of 23,100,534 outputs
Outputs from Methods in molecular biology
#7,989
of 13,208 outputs
Outputs of similar age
#330,911
of 442,691 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
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