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Yeast Genetic Networks

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Cover of 'Yeast Genetic Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Global Estimation of mRNA Stability in Yeast
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    Chapter 2 Genomic-Wide Methods to Evaluate Transcription Rates in Yeast
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    Chapter 3 Construction of cis-Regulatory Input Functions of Yeast Promoters
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    Chapter 4 Luminescence as a Continuous Real-Time Reporter of Promoter Activity in Yeast Undergoing Respiratory Oscillations or Cell Division Rhythms
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    Chapter 5 Linearizer Gene Circuits with Negative Feedback Regulation
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    Chapter 6 Measuring In Vivo Signaling Kinetics in a Mitogen-Activated Kinase Pathway Using Dynamic Input Stimulation
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    Chapter 7 Stochastic Analysis of Gene Expression
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    Chapter 8 Studying Adaptation and Homeostatic Behaviors of Kinetic Networks by Using MATLAB
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    Chapter 9 Biochemical systems analysis of signaling pathways to understand fungal pathogenicity.
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    Chapter 10 Clustering Change Patterns Using Fourier Transformation with Time-Course Gene Expression Data
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    Chapter 11 Finding Modulators of Stochasticity Levels by Quantitative Genetics
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    Chapter 12 Functional Mapping of Expression Quantitative Trait Loci that Regulate Oscillatory Gene Expression
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    Chapter 13 Evolutionary Aspects of a Genetic Network: Studying the Lactose/Galactose Regulon of Kluyveromyces lactis
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    Chapter 14 Analysis of Subtelomeric Silencing in Candida glabrata
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    Chapter 15 Morphological and Molecular Genetic Analysis of Epigenetic Switching of the Human Fungal Pathogen Candida albicans
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    Chapter 16 Quantitation of cellular components in Cryptococcus neoformans for system biology analysis.
Attention for Chapter 14: Analysis of Subtelomeric Silencing in Candida glabrata
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Chapter title
Analysis of Subtelomeric Silencing in Candida glabrata
Chapter number 14
Book title
Yeast Genetic Networks
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-61779-086-7_14
Pubmed ID
Book ISBNs
978-1-61779-085-0, 978-1-61779-086-7
Authors

Alejandro Juárez-Reyes, Alejandro De Las Peñas, Irene Castaño, Juárez-Reyes, Alejandro, Peñas, Alejandro De Las, Castaño, Irene

Abstract

Analysis of gene function often involves detailed studies of when a given gene is expressed or silenced. Transposon mutagenesis is a powerful tool to generate insertional mutations that provide with a selectable marker and a reporter gene that can be used to analyze the transcriptional activity of a specific locus in a variety of microorganisms to study gene regulation. Then the reporter gene expression can be easily measured under different conditions to gain insight into the regulation of the particular locus of interest. We have used transposon mutagenesis as a tool to generate insertional mutations with a modified Tn7 transposon containing the reporter gene URA3 (Tn7-URA3) to study subtelomeric silencing in the opportunistic fungal pathogen Candida glabrata. This method consists of two major steps: an in vitro Tn7-URA3 mutagenesis of a plasmid containing the desired subtelomeric region to be analyzed, followed by homologous recombination into the target region of the C. glabrata genome. As an alternative, a fusion PCR protocol can also be used in which the URA3 reporter gene can be "fused" together with the 5' and 3' regions of the desired insertion point by a two step PCR protocol. This fusion product can be introduced into the C. glabrata genome by homologous recombination after transformation in the same way as the Tn7-URA3 mutagenesis products. Once the URA3 reporter gene has been introduced in the desired locus in the C. glabrata genome, a simple plate growth assay is performed to assess the expression of the reporter gene.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 22%
Professor > Associate Professor 2 22%
Lecturer 1 11%
Student > Ph. D. Student 1 11%
Professor 1 11%
Other 2 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 56%
Biochemistry, Genetics and Molecular Biology 4 44%