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Plant Transcription Factors

Overview of attention for book
Cover of 'Plant Transcription Factors'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Master Regulatory Transcription Factors in Plant Development: A Blooming Perspective
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    Chapter 2 Application of CRISPR/Cas to Understand Cis- and Trans-Regulatory Elements in Plants
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    Chapter 3 The Long-Term “In Natura” Study Sites of Arabidopsis halleri for Plant Transcription and Epigenetic Modification Analyses in Natural Environments
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    Chapter 4 Generation of Inducible Transgenic Lines of Arabidopsis Transcription Factors Regulated by MicroRNAs
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    Chapter 5 A Specific Knockdown of Transcription Factor Activities in Arabidopsis
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    Chapter 6 Using CRISPR/Cas9 System to Introduce Targeted Mutation in Arabidopsis
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    Chapter 7 CRISPR/Cas9-Based Genome Editing of Transcription Factor Genes in Marchantia polymorpha
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    Chapter 8 Cell-Type-Specific Promoter Identification Using Enhancer Trap Lines
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    Chapter 9 Isolation of Arabidopsis Palisade and Spongy Mesophyll Cells
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    Chapter 10 Ectopic Vascular Induction in Arabidopsis Cotyledons for Sequential Analysis of Phloem Differentiation
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    Chapter 11 High Impact Gene Discovery: Simple Strand-Specific mRNA Library Construction and Differential Regulatory Analysis Based on Gene Co-Expression Network
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    Chapter 12 Laser Capture Micro-Dissection Coupled to RNA Sequencing: A Powerful Approach Applied to the Model Legume Medicago truncatula in Interaction with Sinorhizobium meliloti
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    Chapter 13 NanoCAGE-XL: An Approach to High-Confidence Transcription Start Site Sequencing
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    Chapter 14 Genome-Wide TSS Identification in Maize
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    Chapter 15 Three-Dimensional Multiphoton Imaging of Transcription Factor by ClearSee
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    Chapter 16 Two-Color In Situ Hybridization: A Technique for Simultaneous Detection of Transcripts from Different Loci
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    Chapter 17 Gene Expression and Transcription Factor Binding Tests Using Mutated-Promoter Reporter Lines
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    Chapter 18 Rapid and Quantitative CELD Assay to Measure the Specificity of Transcription Factor-DNA-Binding Interactions and Identify cis-Elements
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    Chapter 19 In Situ Proximity Ligation Assay to Detect the Interaction Between Plant Transcription Factors and Other Regulatory Proteins
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    Chapter 20 Cell-Free Protein Synthesis of Plant Transcription Factors
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    Chapter 21 Application of MNase-Seq in the Global Mapping of Nucleosome Positioning in Plants
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    Chapter 22 Genome-Wide Mapping of DNase I Hypersensitive Sites in Tomato
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    Chapter 23 Genome-Wide Identification of Chromatin Domains Anchored at the Nuclear Periphery in Plants
Attention for Chapter 21: Application of MNase-Seq in the Global Mapping of Nucleosome Positioning in Plants
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About this Attention Score

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  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Chapter title
Application of MNase-Seq in the Global Mapping of Nucleosome Positioning in Plants
Chapter number 21
Book title
Plant Transcription Factors
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8657-6_21
Pubmed ID
Book ISBNs
978-1-4939-8656-9, 978-1-4939-8657-6
Authors

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

Abstract

The precise positioning of nucleosomes along the underlying DNA is critical for a variety of biological processes, especially in regulating transcription. The interplay between nucleosomes and transcription factors for accessing the underlying DNA sequences is one of the key determinants that affect transcriptional regulation. Moreover, nucleosomes with various packing statuses confer distinct functions in regulating gene expressions in response to various internal or external signals. Therefore, global mapping of nucleosome positions is one informative way to elucidate the relationship between patterns of nucleosome positioning/occupancy and transcriptional regulations. MNase digestion coupled with high-throughput sequencing (MNase-seq) has been utilized widely for global mapping of nucleosome positioning in eukaryotes that have a sequenced genome. We have developed a robust MNase-seq procedure in plants. It mainly includes plant nuclei isolation, treatment of purified nuclei with MNase, gel recovery of MNase-trimmed mononucleosomal DNA with an approximate size of 150 bp, MNase-seq library preparation followed by Illumina sequencing, and data analysis. MNase-seq has already been successfully applied to identify genome-wide nucleosome positioning in model plants, rice, and Arabidopsis thaliana.

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X Demographics

The data shown below were collected from the profiles of 2 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Researcher 4 27%
Student > Doctoral Student 2 13%
Student > Master 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 53%
Biochemistry, Genetics and Molecular Biology 4 27%
Computer Science 1 7%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 February 2020.
All research outputs
#6,823,109
of 22,903,988 outputs
Outputs from Methods in molecular biology
#2,041
of 13,132 outputs
Outputs of similar age
#137,383
of 441,462 outputs
Outputs of similar age from Methods in molecular biology
#192
of 1,497 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 441,462 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1,497 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.