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Plant Functional Genomics

Overview of attention for book
Cover of 'Plant Functional Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Epigenome Profiling of Specific Plant Cell Types Using a Streamlined INTACT Protocol and ChIP-seq.
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    Chapter 2 Whole-genome DNA methylation profiling with nucleotide resolution.
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    Chapter 3 High-Throughput Nuclease-Mediated Probing of RNA Secondary Structure in Plant Transcriptomes
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    Chapter 4 Genome-Wide Mapping of DNase I Hypersensitive Sites in Plants.
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    Chapter 5 Characterization of In Vivo DNA-Binding Events of Plant Transcription Factors by ChIP-seq: Experimental Protocol and Computational Analysis.
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    Chapter 6 Identification of Direct Targets of Plant Transcription Factors Using the GR Fusion Technique.
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    Chapter 7 Ribosome profiling: a tool for quantitative evaluation of dynamics in mRNA translation.
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    Chapter 8 Tissue-Specific Gene Expression Profiling by Cell Sorting
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    Chapter 9 Translating Ribosome Affinity Purification (TRAP) Followed by RNA Sequencing Technology (TRAP-SEQ) for Quantitative Assessment of Plant Translatomes.
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    Chapter 10 Rapid Immunopurification of Ribonucleoprotein Complexes of Plants
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    Chapter 11 Metabolomic profiling of plant tissues.
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    Chapter 12 Targeted Plant Genome Editing via the CRISPR/Cas9 Technology.
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    Chapter 13 QTL Mapping Using High-Throughput Sequencing
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    Chapter 14 Quantitating Plant MicroRNA-Mediated Target Repression Using a Dual-Luciferase Transient Expression System.
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    Chapter 15 Persistent virus-induced gene silencing in asymptomatic accessions of Arabidopsis.
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    Chapter 16 A User’s Guide to the Arabidopsis T-DNA Insertion Mutant Collections
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    Chapter 17 Genome-Wide Association Mapping in Plants Exemplified for Root Growth in Arabidopsis thaliana
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    Chapter 18 Tilling by sequencing.
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    Chapter 19 SHOREmap v3.0: Fast and Accurate Identification of Causal Mutations from Forward Genetic Screens
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    Chapter 20 Software-Assisted Stacking of Gene Modules Using GoldenBraid 2.0 DNA-Assembly Framework.
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    Chapter 21 Ligation-Independent Cloning for Plant Research
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    Chapter 22 Gene Functional Analysis Using Protoplast Transient Assays
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    Chapter 23 Descriptive vs. Mechanistic Network Models in Plant Development in the Post-Genomic Era.
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    Chapter 24 Analysis and visualization of RNA-Seq expression data using RStudio, Bioconductor, and Integrated Genome Browser
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    Chapter 25 Constructing simple biological networks for understanding complex high-throughput data in plants.
Attention for Chapter 4: Genome-Wide Mapping of DNase I Hypersensitive Sites in Plants.
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Chapter title
Genome-Wide Mapping of DNase I Hypersensitive Sites in Plants.
Chapter number 4
Book title
Plant Functional Genomics
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2444-8_4
Pubmed ID
Book ISBNs
978-1-4939-2443-1, 978-1-4939-2444-8
Authors

Wenli Zhang, Jiming Jiang, Zhang, Wenli, Jiang, Jiming

Abstract

Genomic regions associated with regulatory proteins are known to be highly sensitive to DNase I digestion and are termed DNase I hypersensitive sites (DHSs). DHSs can be identified by DNase I digestion followed by high-throughput DNA sequencing (DNase-seq). DNase-seq has become a powerful technique for genome-wide mapping of chromatin accessibility in eukaryotes with a sequenced genome. We have developed a DNase-seq procedure in plants. This procedure was adapted from the protocol originally developed for mammalian cell lines. It includes plant nuclei isolation, digestion of purified nuclei with DNase I, recovery of DNase-trimmed DNA fragments, DNase-seq library development, Illumina sequencing and data analysis. We also introduce a barcoding system for library preparation. We have conducted DNase-seq in both Arabidopsis thaliana and rice, and developed genome-wide open chromatin maps in both species. These DHS datasets have been used to detect footprints from regulatory protein binding and to reveal genome-wide nucleosome positioning patterns.

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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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 53%
Researcher 4 21%
Student > Bachelor 2 11%
Student > Master 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 63%
Biochemistry, Genetics and Molecular Biology 4 21%
Immunology and Microbiology 1 5%
Medicine and Dentistry 1 5%
Unknown 1 5%
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 12 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from Methods in molecular biology
#9,900
of 13,110 outputs
Outputs of similar age
#295,740
of 353,053 outputs
Outputs of similar age from Methods in molecular biology
#635
of 996 outputs
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So far Altmetric has tracked 13,110 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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