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Plant Synthetic Promoters

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Cover of 'Plant Synthetic Promoters'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Plant Synthetic Promoters
  3. Altmetric Badge
    Chapter 2 Quantitative Analysis of Cis-Regulatory Element Activity Using Synthetic Promoters in Transgenic Plants
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    Chapter 3 The Identification of Cis-Regulatory Sequence Motifs in Gene Promoters Based on SNP Information
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    Chapter 4 Plant Synthetic Promoters
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    Chapter 5 Analyzing Synthetic Promoters Using Arabidopsis Protoplasts
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    Chapter 6 Selecting Hypomethylated Genomic Regions Using MRE-Seq
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    Chapter 7 Spatio-Temporal Imaging of Promoter Activity in Intact Plant Tissues
  9. Altmetric Badge
    Chapter 8 Novel Synthetic Promoters from the Cestrum Yellow Leaf Curling Virus
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    Chapter 9 Fast and Efficient Cloning of Cis-Regulatory Sequences for High-Throughput Yeast One-Hybrid Analyses of Transcription Factors
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    Chapter 10 The Physcomitrella patens System for Transient Gene Expression Assays
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    Chapter 11 Analysis of Microbe-Associated Molecular Pattern-Responsive Synthetic Promoters with the Parsley Protoplast System
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    Chapter 12 A Framework for Discovering, Designing, and Testing MicroProteins to Regulate Synthetic Transcriptional Modules
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    Chapter 13 Simultaneous Analysis of Multiple Promoters: An Application of the PC-GW Binary Vector Series
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    Chapter 14 Plant Synthetic Promoters
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    Chapter 15 Bioinformatic Identification of Conserved Cis-Sequences in Coregulated Genes
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    Chapter 16 In Silico Expression Analysis
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    Chapter 17 FootprintDB: Analysis of Plant Cis-Regulatory Elements, Transcription Factors, and Binding Interfaces
  19. Altmetric Badge
    Chapter 18 RSAT::Plants: Motif Discovery Within Clusters of Upstream Sequences in Plant Genomes
  20. Altmetric Badge
    Chapter 19 Plant Synthetic Promoters
Attention for Chapter 9: Fast and Efficient Cloning of Cis-Regulatory Sequences for High-Throughput Yeast One-Hybrid Analyses of Transcription Factors
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Chapter title
Fast and Efficient Cloning of Cis-Regulatory Sequences for High-Throughput Yeast One-Hybrid Analyses of Transcription Factors
Chapter number 9
Book title
Plant Synthetic Promoters
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6396-6_9
Pubmed ID
Book ISBNs
978-1-4939-6394-2, 978-1-4939-6396-6
Authors

Zsolt Kelemen, Jonathan Przybyla-Toscano, Nicolas Tissot, Loïc Lepiniec, Christian Dubos, Kelemen, Zsolt, Przybyla-Toscano, Jonathan, Tissot, Nicolas, Lepiniec, Loïc, Dubos, Christian

Editors

Reinhard Hehl

Abstract

Yeast one-hybrid (Y1H) assay has been proven to be a powerful technique to characterize in vivo the interaction between a given transcription factor (TF), or its DNA-binding domain (DBD), and target DNA sequences. Comprehensive characterization of TF/DBD and DNA interactions should allow designing synthetic promoters that would undoubtedly be valuable for biotechnological approaches. Here, we use the ligation-independent cloning system (LIC) in order to enhance the cloning efficiency of DNA motifs into the pHISi Y1H vector. LIC overcomes important limitations of traditional cloning technologies, since any DNA fragment can be cloned into LIC compatible vectors without using restriction endonucleases, ligation, or in vitro recombination.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 64%
Student > Doctoral Student 1 9%
Student > Master 1 9%
Unknown 2 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 55%
Biochemistry, Genetics and Molecular Biology 2 18%
Medicine and Dentistry 1 9%
Unknown 2 18%
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 26 August 2016.
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#20,337,788
of 22,883,326 outputs
Outputs from Methods in molecular biology
#9,920
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#330,751
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Outputs of similar age from Methods in molecular biology
#1,054
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