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Maize

Overview of attention for book
Cover of 'Maize'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Use of In Vitro Kernel Culture to Study Maize Nitrogen and Carbohydrate Metabolism
  3. Altmetric Badge
    Chapter 2 Agrobacterium- and Biolistic-Mediated Transformation of Maize B104 Inbred
  4. Altmetric Badge
    Chapter 3 Advances in Agrobacterium-mediated Maize Transformation
  5. Altmetric Badge
    Chapter 4 A Brief History of Promoter Development for Use in Transgenic Maize Applications
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    Chapter 5 Deletion Mutagenesis and Identification of Causative Mutations in Maize
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    Chapter 6 Selective Knockdowns in Maize by Sequence-Specific Protein Aggregation
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    Chapter 7 Virus-Induced Gene Silencing in Maize with a Foxtail mosaic virus Vector
  9. Altmetric Badge
    Chapter 8 Use of a Virus Gene Silencing Vector for Maize Functional Genomics Research
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    Chapter 9 Laser-Capture Microdissection of Maize Kernel Compartments for RNA-Seq-Based Expression Analysis
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    Chapter 10 Ribosome Profiling in Maize
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    Chapter 11 Detection of DNA Methylation by Whole-Genome Bisulfite Sequencing
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    Chapter 12 Plant Gene Regulation Using Multiplex CRISPR-dCas9 Artificial Transcription Factors
  14. Altmetric Badge
    Chapter 13 Cellular and Subcellular Level Localization of Maize Lipids and Metabolites Using High-Spatial Resolution MALDI Mass Spectrometry Imaging
Attention for Chapter 12: Plant Gene Regulation Using Multiplex CRISPR-dCas9 Artificial Transcription Factors
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Chapter title
Plant Gene Regulation Using Multiplex CRISPR-dCas9 Artificial Transcription Factors
Chapter number 12
Book title
Maize
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7315-6_12
Pubmed ID
28986912
Book ISBNs
978-1-4939-7314-9, 978-1-4939-7315-6
Authors

Levi G. Lowder, Aimee Malzahn, Yiping Qi

Abstract

Besides genome editing, the CRISPR-Cas9-based platform provides a new way of engineering artificial transcription factors (ATFs). Multiplex of guide RNA (gRNA) expression cassettes holds a great promise for many useful applications of CRISPR-Cas9. In this chapter, we provide a detailed protocol for building advanced multiplexed CRISPR-dCas9-Activator/repressor T-DNA vectors for carrying out transcriptional activation or repression experiments in plants. We specifically describe the assembly of multiplex T-DNA vectors that can express multiple gRNAs to activate a silenced gene, or to repress two independent miRNA genes simultaneously in Arabidopsis. We then describe a "higher-order" vector assembly method for increased multiplexing capacity. This higher-order assembly method in principle allows swift stacking of gRNAs cassettes that are only limited by the loading capacity of a cloning or expression vector.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Ph. D. Student 5 11%
Student > Master 4 9%
Student > Postgraduate 3 6%
Other 3 6%
Other 9 19%
Unknown 14 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 38%
Biochemistry, Genetics and Molecular Biology 10 21%
Arts and Humanities 1 2%
Social Sciences 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 15 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 October 2017.
All research outputs
#7,540,801
of 23,005,189 outputs
Outputs from Methods in molecular biology
#2,341
of 13,159 outputs
Outputs of similar age
#153,661
of 442,254 outputs
Outputs of similar age from Methods in molecular biology
#230
of 1,498 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 442,254 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 55% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.

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