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Programmed Necrosis

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Cover of 'Programmed Necrosis'

Table of Contents

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    Book Overview
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    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
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Title
Programmed Necrosis
Published by
Springer New York, November 2018
DOI 10.1007/978-1-4939-8754-2
ISBNs
978-1-4939-8753-5, 978-1-4939-8754-2
Editors

Ting, Adrian T.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Unspecified 4 22%
Researcher 3 17%
Student > Master 2 11%
Student > Doctoral Student 2 11%
Other 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Unspecified 4 22%
Agricultural and Biological Sciences 4 22%
Medicine and Dentistry 3 17%
Immunology and Microbiology 2 11%
Other 0 0%