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Immunity in Insects

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Cover of 'Immunity in Insects'

Table of Contents

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    Book Overview
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    Chapter 1 Characterization of Insect Immune Systems from Genomic Data
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    Chapter 2 Analyzing Immunity in Non-model Insects Using De Novo Transcriptomics
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    Chapter 3 Preparation of Insect Protein Samples for Label-Free Proteomic Quantification by LC-Mass Spectrometry
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    Chapter 4 Quantification of Blood Cells in Drosophila melanogaster and Other Insects
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    Chapter 5 Methods to Quantify In Vivo Phagocytic Uptake and Opsonization of Live or Killed Microbes in Drosophila melanogaster
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    Chapter 6 Analysis of Cellular Immune Responses in Lepidopteran Larvae
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    Chapter 7 Detection of Enzyme Distribution, Expression, Activation, and Activity of Insect Prophenoloxidase
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    Chapter 8 Basic Methods to Evaluate Humoral Immunity Processes in Lepidoptera Larvae
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    Chapter 9 Methods for the In Vitro Examination of the Antibacterial and Cytotoxic Activities of Antimicrobial Peptides
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    Chapter 10 Characterization of Antimicrobial Peptide–Membrane Interaction Using All-Atom Molecular Dynamic Simulation
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    Chapter 11 Manipulating the Mosquito Microbiota to Study Its Function
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    Chapter 12 Discovery and Analysis of RNA Viruses in Insects
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    Chapter 13 A Workflow for Infection of Drosophila with Entomopathogenic Nematodes to Monitor Immune Gene Transcriptional Activity
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    Chapter 14 Oral Infection in a Germ-Free Bombyx mori Model
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    Chapter 15 Silkworm Infection Model for Evaluating Pathogen Virulence
Attention for Chapter 1: Characterization of Insect Immune Systems from Genomic Data
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Chapter title
Characterization of Insect Immune Systems from Genomic Data
Chapter number 1
Book title
Immunity in Insects
Published by
Humana, New York, NY, January 2020
DOI 10.1007/978-1-0716-0259-1_1
Book ISBNs
978-1-07-160258-4, 978-1-07-160259-1
Authors

Robert M. Waterhouse, Brian P. Lazzaro, Timothy B. Sackton, Waterhouse, Robert M., Lazzaro, Brian P., Sackton, Timothy B.

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The data shown below were collected from the profiles of 21 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 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 %
Researcher 5 28%
Student > Master 4 22%
Student > Bachelor 3 17%
Student > Ph. D. Student 2 11%
Professor 1 6%
Other 0 0%
Unknown 3 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 56%
Biochemistry, Genetics and Molecular Biology 5 28%
Unknown 3 17%