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Gene Function Analysis

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Cover of 'Gene Function Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 The Present State and Future Direction of Integrated Gene Function Analysis
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    Chapter 2 Performing Integrative Functional Genomics Analysis in GeneWeaver.org
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    Chapter 3 Functional Annotation of Differentially Regulated Gene Set Using WebGestalt: A Gene Set Predictive of Response to Ipilimumab in Tumor Biopsies.
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    Chapter 4 Integrative Data-Mining Tools to Link Gene and Function
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    Chapter 5 Detection of Driver Protein Complexes in Breast Cancer Metastasis by Large-Scale Transcriptome–Interactome Integration
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    Chapter 6 Pattern Identification in Time-Course Gene Expression Data with the CoGAPS Matrix Factorization.
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    Chapter 7 Statistical Tools and R Software for Cancer Driver Probabilities
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    Chapter 8 Predicting the functional consequences of somatic missense mutations found in tumors.
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    Chapter 9 Determining the effect of DNA methylation on gene expression in cancer cells.
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    Chapter 10 Reverse Engineering Transcriptional Gene Networks
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    Chapter 11 Integrating in silico resources to map a signaling network.
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    Chapter 12 A method for inducible gene over-expression and down-regulation in emerging model species using pogostick.
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    Chapter 13 Construction and application of site-specific artificial nucleases for targeted gene editing.
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    Chapter 14 Selection of Recombinant Antibodies from Antibody Gene Libraries
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    Chapter 15 Construction of Simple and Efficient siRNA Validation Systems for Screening and Identification of Effective RNAi-Targeted Sequences from Mammalian Genes
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    Chapter 16 Rapid Genetic Modification of Mouse Embryonic Stem Cells by Inducible Cassette Exchange Recombination
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    Chapter 17 In Ovo Electroporation of miRNA-Based-Plasmids to Investigate Gene Function in the Developing Neural Tube
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    Chapter 18 Proteomic Strategies: SILAC and 2D-DIGE—Powerful Tool to Investigate Cellular Alterations
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    Chapter 19 Conditional gene-trap mutagenesis in zebrafish.
Attention for Chapter 12: A method for inducible gene over-expression and down-regulation in emerging model species using pogostick.
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Chapter title
A method for inducible gene over-expression and down-regulation in emerging model species using pogostick.
Chapter number 12
Book title
Gene Function Analysis
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-721-1_12
Pubmed ID
Book ISBNs
978-1-62703-720-4, 978-1-62703-721-1
Authors

Bin Chen, Antónia Monteiro, Chen, Bin, Monteiro, Antónia

Abstract

Nontraditional model species need new tools for the functional testing of genes, both conserved and lineage-specific genes. These tools should enable the exploration of gene function, either via knock-downs of endogenous genes or via over-expression and ectopic expression of transgenes. We constructed a new vector called Pogostick that can be used to over-express or down-regulate genes in organisms amenable to germ-line transformation by the piggyBac transposable element. The vector currently uses the heat-shock promoter Hsp70 from Drosophila melanogaster to drive transgene expression and, as such, will have immediate applicability to organisms that can correctly interpret this promotor sequence. Here we introduce the main features of Pogostick and how candidate genes can be inserted into the vector for use in either over-expression or down-regulation experiments. In addition, we also test Pogostick in two insect species, D. melanogaster and the emerging model butterfly Bicyclus anynana. We over-express the fluorescent protein DsRed during the larval and pupal stages of D. melanogaster development, and down-regulate DsRed in a line constitutively expressing this gene in the eyes. We then test the over-expression of Ultrabithorax (Ubx) in B. anynana, and obtain sequences flanking the Pogostick genomic insertions. This new vector will allow emerging model species to enter the field of functional genetics with few hurdles.

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 %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Ph. D. Student 3 19%
Student > Doctoral Student 2 13%
Researcher 2 13%
Professor 1 6%
Other 3 19%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 31%
Biochemistry, Genetics and Molecular Biology 4 25%
Social Sciences 2 13%
Unspecified 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 2 13%