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Gene Regulatory Networks

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Cover of 'Gene Regulatory Networks'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 How do you find transcription factors? Computational approaches to compile and annotate repertoires of regulators for any genome.
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    Chapter 2 Expression Pattern Analysis of Regulatory Transcription Factors in Caenorhabditis elegans
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    Chapter 3 High-Throughput SELEX Determination of DNA Sequences Bound by Transcription Factors In Vitro
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    Chapter 4 Convenient Determination of Protein-Binding DNA Sequences Using Quadruple 9-Mer-Based Microarray and DsRed-Monomer Fusion Protein
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    Chapter 5 Analysis of Specific Protein–DNA Interactions by Bacterial One-Hybrid Assay
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    Chapter 6 Gene Regulatory Networks
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    Chapter 7 Detecting protein-protein interactions with the Split-Ubiquitin sensor.
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    Chapter 8 Genome-Wide Dissection of Posttranscriptional and Posttranslational Interactions
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    Chapter 9 Linking Cellular Signalling to Gene Expression Using EXT-Encoded Reporter Libraries
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    Chapter 10 Sample Preparation for Small RNA Massive Parallel Sequencing
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    Chapter 11 CAGE (Cap Analysis of Gene Expression): A Protocol for the Detection of Promoter and Transcriptional Networks
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    Chapter 12 Gene Regulatory Networks
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    Chapter 13 Detecting long-range chromatin interactions using the chromosome conformation capture sequencing (4C-seq) method.
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    Chapter 14 Analyzing Transcription Factor Occupancy During Embryo Development Using ChIP-seq
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    Chapter 15 Genome-Wide Profiling of DNA-Binding Proteins Using Barcode-Based Multiplex Solexa Sequencing
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    Chapter 16 Computational Analysis of Protein–DNA Interactions from ChIP-seq Data
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    Chapter 17 Using a Yeast Inverse One-Hybrid System to Identify Functional Binding Sites of Transcription Factors
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    Chapter 18 Using cisTargetX to Predict Transcriptional Targets and Networks in Drosophila
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    Chapter 19 Proteomic Methodologies to Study Transcription Factor Function
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    Chapter 20 A High-throughput Gateway-Compatible Yeast One-Hybrid Screen to Detect Protein–DNA Interactions
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    Chapter 21 BioTapestry: A Tool to Visualize the Dynamic Properties of Gene Regulatory Networks
  23. Altmetric Badge
    Chapter 22 Implicit Methods for Qualitative Modeling of Gene Regulatory Networks
Attention for Chapter 13: Detecting long-range chromatin interactions using the chromosome conformation capture sequencing (4C-seq) method.
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Chapter title
Detecting long-range chromatin interactions using the chromosome conformation capture sequencing (4C-seq) method.
Chapter number 13
Book title
Gene Regulatory Networks
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-292-2_13
Pubmed ID
Book ISBNs
978-1-61779-291-5, 978-1-61779-292-2
Authors

Nele Gheldof, Marion Leleu, Daan Noordermeer, Jacques Rougemont, Alexandre Reymond, Gheldof, Nele, Leleu, Marion, Noordermeer, Daan, Rougemont, Jacques, Reymond, Alexandre

Abstract

Eukaryotic transcription is tightly regulated by transcriptional regulatory elements, even though these elements may be located far away from their target genes. It is now widely recognized that these regulatory elements can be brought in close proximity through the formation of chromatin loops, and that these loops are crucial for transcriptional regulation of their target genes. The chromosome conformation capture (3C) technique presents a snapshot of long-range interactions, by fixing physically interacting elements with formaldehyde, digestion of the DNA, and ligation to obtain a library of unique ligation products. Recently, several large-scale modifications to the 3C technique have been presented. Here, we describe chromosome conformation capture sequencing (4C-seq), a high-throughput version of the 3C technique that combines the 3C-on-chip (4C) protocol with next-generation Illumina sequencing. The method is presented for use in mammalian cell lines, but can be adapted to use in mammalian tissues and any other eukaryotic genome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
France 1 <1%
United Kingdom 1 <1%
Austria 1 <1%
Denmark 1 <1%
Canada 1 <1%
Unknown 99 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 29%
Researcher 29 27%
Student > Master 20 19%
Student > Bachelor 7 7%
Student > Postgraduate 3 3%
Other 8 7%
Unknown 9 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 56%
Biochemistry, Genetics and Molecular Biology 23 21%
Immunology and Microbiology 2 2%
Computer Science 2 2%
Neuroscience 2 2%
Other 7 7%
Unknown 11 10%
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 05 November 2013.
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#18,353,475
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Outputs from Methods in molecular biology
#7,859
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#196,082
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Outputs of similar age from Methods in molecular biology
#325
of 473 outputs
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