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Parasite Genomics Protocols

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Cover of 'Parasite Genomics Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 The eukaryotic pathogen databases: a functional genomic resource integrating data from human and veterinary parasites.
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    Chapter 2 From sequence mapping to genome assemblies.
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    Chapter 3 Sequencing and annotation of mitochondrial genomes from individual parasitic helminths.
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    Chapter 4 A Beginners Guide to Estimating the Non-synonymous to Synonymous Rate Ratio of all Protein-Coding Genes in a Genome.
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    Chapter 5 Exploiting Genetic Variation to Discover Genes Involved in Important Disease Phenotypes
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    Chapter 6 Identification and analysis of ingi-related retroposons in the trypanosomatid genomes.
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    Chapter 7 Approaches for Studying mRNA Decay Mediated by SIDER2 Retroposons in Leishmania
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    Chapter 8 Gene Suppression in Schistosomes Using RNAi.
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    Chapter 9 Construction of Trypanosoma brucei Illumina RNA-Seq Libraries Enriched for Transcript Ends.
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    Chapter 10 Techniques to Study Epigenetic Control and the Epigenome in Parasites
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    Chapter 11 The Genome-Wide Identification of Promoter Regions in Toxoplasma gondii.
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    Chapter 12 RNA-Seq Approaches for Determining mRNA Abundance in Leishmania.
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    Chapter 13 Protein microarrays for parasite antigen discovery.
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    Chapter 14 A transposon-based tool for transformation and mutagenesis in trypanosomatid protozoa.
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    Chapter 15 Separation of Basic Proteins from Leishmania Using a Combination of Free Flow Electrophoresis (FFE) and 2D Electrophoresis (2-DE) Under Basic Conditions
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    Chapter 16 Proteomic Analysis of Posttranslational Modifications Using iTRAQ in Leishmania.
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    Chapter 17 Large-Scale Differential Proteome Analysis in Plasmodium falciparum Under Drug Treatment.
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    Chapter 18 Parasite Genomics Protocols
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    Chapter 19 Molecular Genotyping of Trypanosoma cruzi for Lineage Assignment and Population Genetics.
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    Chapter 20 Screening Leishmania donovani Complex-Specific Genes Required for Visceral Disease.
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    Chapter 21 ERRATUM: From Sequence Mapping to Genome Assemblies
Attention for Chapter 13: Protein microarrays for parasite antigen discovery.
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Chapter title
Protein microarrays for parasite antigen discovery.
Chapter number 13
Book title
Parasite Genomics Protocols
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-1438-8_13
Pubmed ID
Book ISBNs
978-1-4939-1437-1, 978-1-4939-1438-8
Authors

Patrick Driguez, Denise L Doolan, Douglas M Molina, Alex Loukas, Angela Trieu, Phil L Felgner, Donald P McManus, Denise L. Doolan, Douglas M. Molina, Phil L. Felgner, Donald P. McManus, Driguez, Patrick, Doolan, Denise L., Molina, Douglas M., Loukas, Alex, Trieu, Angela, Felgner, Phil L., McManus, Donald P.

Abstract

The host serological profile to a parasitic infection, such as schistosomiasis, can be used to define potential vaccine and diagnostic targets. Determining the host antibody response using traditional approaches is hindered by the large number of putative antigens in any parasite proteome. Parasite protein microarrays offer the potential for a high-throughput host antibody screen to simplify this task. In order to construct the array, parasite proteins are selected from available genomic sequence and protein databases using bioinformatic tools. Selected open reading frames are PCR amplified, incorporated into a vector for cell-free protein expression, and printed robotically onto glass slides. The protein microarrays can be probed with antisera from infected/immune animals or humans and the antibody reactivity measured with fluorophore labeled antibodies on a confocal laser microarray scanner to identify potential targets for diagnosis or therapeutic or prophylactic intervention.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 6%
Australia 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Student > Ph. D. Student 3 19%
Researcher 2 13%
Lecturer 1 6%
Unspecified 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 38%
Medicine and Dentistry 2 13%
Nursing and Health Professions 1 6%
Unspecified 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 1 6%
Unknown 4 25%
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 14 November 2014.
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#20,242,779
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Outputs from Methods in molecular biology
#9,862
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Outputs of similar age
#295,623
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Outputs of similar age from Methods in molecular biology
#635
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