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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 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 title
The Long-Term “In Natura” Study Sites of Arabidopsis halleri for Plant Transcription and Epigenetic Modification Analyses in Natural Environments
Chapter number 3
Book title
Plant Transcription Factors
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8657-6_3
Pubmed ID
Book ISBNs
978-1-4939-8656-9, 978-1-4939-8657-6
Authors

Hiroshi Kudoh, Mie N. Honjo, Haruki Nishio, Jiro Sugisaka, Kudoh, Hiroshi, Honjo, Mie N., Nishio, Haruki, Sugisaka, Jiro

Abstract

The majority of organismal phenomena show functional significance in the context of natural environments. However, we know little about how dynamic gene expression is controlled under natural complex conditions. One of the most attractive challenges in current biology is to understand organismal functions in natural environments. We established and have developed long-term "in natura" study sites of Arabidopsis halleri to evaluate precise control of gene expression in natural environments. At the sites, we monitored meteorological factors, recorded plant growth and phenology, and collected RNA and chromatin samples to investigate dynamics of transcription and epigenetic modifications. Here, we introduce the in natura study sites, especially with the emphasis on methodologies for setting up study sites in natural plant populations and collecting samples used in transcriptomics and epigenetics in natural environments. Although the methods introduced here need to be modified depending on situations of one's study systems, our case can be a model for planning new in natura studies.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 56%
Student > Ph. D. Student 2 22%
Student > Bachelor 1 11%
Unknown 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 67%
Computer Science 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 1 11%
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 29 July 2018.
All research outputs
#14,136,687
of 23,096,849 outputs
Outputs from Methods in molecular biology
#3,984
of 13,208 outputs
Outputs of similar age
#233,068
of 442,670 outputs
Outputs of similar age from Methods in molecular biology
#396
of 1,499 outputs
Altmetric has tracked 23,096,849 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 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. 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 442,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 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 71% of its contemporaries.