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Chromosome and Genomic Engineering in Plants

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Cover of 'Chromosome and Genomic Engineering in Plants'

Table of Contents

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    Book Overview
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    Chapter 1 Production of Engineered Minichromosome Vectors via the Introduction of Telomere Sequences
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    Chapter 2 Method for Biolistic Site-Specific Integration in Plants Catalyzed by Bxb1 Integrase
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    Chapter 3 Protocol for In Vitro Stacked Molecules Compatible with In Vivo Recombinase-Mediated Gene Stacking
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    Chapter 4 Chromosome and Genomic Engineering in Plants
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    Chapter 5 One-Step Generation of Chromosomal Rearrangements in Rice
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    Chapter 6 Genome Elimination by Tailswap CenH3: In Vivo Haploid Production in Arabidopsis thaliana
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    Chapter 7 Chromosome and Genomic Engineering in Plants
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    Chapter 8 CRISPR/Cas-Mediated Site-Specific Mutagenesis in Arabidopsis thaliana Using Cas9 Nucleases and Paired Nickases
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    Chapter 9 Chromosome and Genomic Engineering in Plants
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    Chapter 10 Seamless Genome Editing in Rice via Gene Targeting and Precise Marker Elimination
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    Chapter 11 Chromosome and Genomic Engineering in Plants
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    Chapter 12 Chromosome and Genomic Engineering in Plants
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    Chapter 13 Image Analysis of DNA Fiber and Nucleus in Plants
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    Chapter 14 Chromosome and Genomic Engineering in Plants
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    Chapter 15 Chromosome and Genomic Engineering in Plants
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    Chapter 16 Chromosome and Genomic Engineering in Plants
  18. Altmetric Badge
    Chapter 17 Mapping of T-DNA and Ac/Ds by TAIL-PCR to Analyze Chromosomal Rearrangements
Attention for Chapter 11: Chromosome and Genomic Engineering in Plants
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Chapter title
Chromosome and Genomic Engineering in Plants
Chapter number 11
Book title
Chromosome and Genomic Engineering in Plants
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-4931-1_11
Pubmed ID
Book ISBNs
978-1-4939-4929-8, 978-1-4939-4931-1
Authors

Kobayashi, Takehito, Yagi, Yusuke, Nakamura, Takahiro, Takehito Kobayashi, Yusuke Yagi, Takahiro Nakamura

Abstract

The pentatricopeptide repeat (PPR) motif is a sequence-specific RNA/DNA-binding module. Elucidation of the RNA/DNA recognition mechanism has enabled engineering of PPR motifs as new RNA/DNA manipulation tools in living cells, including for genome editing. However, the biochemical characteristics of PPR proteins remain unknown, mostly due to the instability and/or unfolding propensities of PPR proteins in heterologous expression systems such as bacteria and yeast. To overcome this issue, we constructed reporter systems using animal cultured cells. The cell-based system has highly attractive features for PPR engineering: robust eukaryotic gene expression; availability of various vectors, reagents, and antibodies; highly efficient DNA delivery ratio (>80 %); and rapid, high-throughput data production. In this chapter, we introduce an example of such reporter systems: a PPR-based sequence-specific translational activation system. The cell-based reporter system can be applied to characterize plant genes of interested and to PPR engineering.

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Doctoral Student 2 18%
Professor 1 9%
Student > Master 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Agricultural and Biological Sciences 2 18%
Social Sciences 1 9%
Chemistry 1 9%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 August 2016.
All research outputs
#20,337,788
of 22,884,315 outputs
Outputs from Methods in molecular biology
#9,920
of 13,131 outputs
Outputs of similar age
#330,751
of 393,702 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
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So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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