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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
  2. Altmetric Badge
    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 1: Epigenome Profiling of Specific Plant Cell Types Using a Streamlined INTACT Protocol and ChIP-seq.
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Chapter title
Epigenome Profiling of Specific Plant Cell Types Using a Streamlined INTACT Protocol and ChIP-seq.
Chapter number 1
Book title
Plant Functional Genomics
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2444-8_1
Pubmed ID
Book ISBNs
978-1-4939-2443-1, 978-1-4939-2444-8
Authors

Dongxue Wang, Roger B Deal, Roger B. Deal, Wang, Dongxue, Deal, Roger B.

Abstract

Plants consist of many functionally specialized cell types, each with its own unique epigenome, transcriptome, and proteome. Characterization of these cell type-specific properties is essential to understanding cell fate specification and the responses of individual cell types to the environment. In this chapter we describe an approach to map chromatin features in specific cell types of Arabidopsis thaliana using nuclei purification from individual cell types with the INTACT method (isolation of nuclei tagged in specific cell types) followed by chromatin immunoprecipitation and high-throughput sequencing (ChIP-seq). The INTACT system employs two transgenes to generate affinity-labeled nuclei in the cell type of interest, and these tagged nuclei can then be selectively purified from tissue homogenates. The primary transgene encodes the nuclear tagging fusion protein (NTF), which consists of a nuclear envelope-targeting domain, the green fluorescent protein, and a biotin ligase recognition peptide, while the second transgene encodes the E. coli biotin ligase (BirA), which selectively biotinylates NTF. Expression of NTF and BirA in a specific cell type thus yields nuclei that are coated with biotin and can be purified by virtue of their affinity for streptavidin-coated magnetic beads. Compared with the original INTACT nuclei purification protocol, the procedure presented here is greatly simplified and shortened. After nuclei purification, we provide detailed instructions for chromatin isolation, shearing, and immunoprecipitation. Finally, we present a low input ChIP-seq library preparation protocol based on the nano-ChIP-seq method of Adli and Bernstein, and we describe multiplex Illumina sequencing of these libraries to produce high quality, cell type-specific epigenome profiles at a relatively low cost. The procedures given here are optimized for Arabidopsis but should be easily adaptable to other plant species.

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The data shown below were collected from the profiles of 3 X users 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 34%
Student > Ph. D. Student 6 19%
Professor > Associate Professor 3 9%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 3 9%
Unknown 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 47%
Biochemistry, Genetics and Molecular Biology 10 31%
Neuroscience 1 3%
Chemistry 1 3%
Unknown 5 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 December 2015.
All research outputs
#13,937,513
of 22,794,367 outputs
Outputs from Methods in molecular biology
#3,921
of 13,111 outputs
Outputs of similar age
#181,285
of 353,053 outputs
Outputs of similar age from Methods in molecular biology
#250
of 996 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,111 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.