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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
  3. Altmetric Badge
    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 2: Application of CRISPR/Cas to Understand Cis- and Trans-Regulatory Elements 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 (85th percentile)

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3 patents

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Chapter title
Application of CRISPR/Cas to Understand Cis- and Trans-Regulatory Elements in Plants
Chapter number 2
Book title
Plant Transcription Factors
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8657-6_2
Pubmed ID
Book ISBNs
978-1-4939-8656-9, 978-1-4939-8657-6
Authors

Felix Wolter, Holger Puchta, Wolter, Felix, Puchta, Holger

Abstract

The recent emergence of the CRISPR/Cas system as a genome editing tool enables simple, fast, and efficient induction of DNA double-strand breaks at precise positions in the genome. This has proven extremely useful for analysis and modification of protein-coding sequences. Regulatory sequences have received much less attention, but can now be quickly and easily disrupted as well. Editing of cis-regulatory elements (CRE) offers considerable potential for crop improvement via fine-tuning of gene expression that cannot be achieved by simple KO mutations, but its widespread application is still hampered by a lack of precise knowledge about functional motifs in CRE. As demonstrated for mammalian cells, CRISPR/Cas is also extremely useful for the identification and analysis of CRE in their native environment on a large scale using tiling screens. Transcriptional complexes are another promising target for crop genome editing, as demonstrated for pathogen resistance and regulation of flowering. The development of more diverse and sophisticated CRISPR/Cas tools for genome editing will allow even more efficient and powerful approaches for editing of regulatory sequences in the future.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 7 18%
Student > Master 4 11%
Other 3 8%
Student > Bachelor 2 5%
Other 4 11%
Unknown 10 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 32%
Agricultural and Biological Sciences 11 29%
Unspecified 1 3%
Immunology and Microbiology 1 3%
Engineering 1 3%
Other 0 0%
Unknown 12 32%
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 20 January 2022.
All research outputs
#7,259,414
of 22,925,760 outputs
Outputs from Methods in molecular biology
#2,203
of 13,132 outputs
Outputs of similar age
#147,501
of 441,608 outputs
Outputs of similar age from Methods in molecular biology
#212
of 1,497 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th 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 82% 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 441,608 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 65% 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 85% of its contemporaries.