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Riboregulator Design and Analysis

Overview of attention for book
Riboregulator Design and Analysis
Springer US

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 RNP-Based Control Systems for Genetic Circuits in Synthetic Biology Beyond CRISPR
  3. Altmetric Badge
    Chapter 2 Computational Design of RNA Toehold-Mediated Translation Activators
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    Chapter 3 Design of RNA-Based Translational Repressors
  5. Altmetric Badge
    Chapter 4 Design of Ribocomputing Devices for Complex Cellular Logic
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    Chapter 5 Computational Design of Small Transcription Activating RNAs (STARs)
  7. Altmetric Badge
    Chapter 6 Design and Assembly of Multilevel Transcriptional and Translational Regulators for Stringent Control of Gene Expression
  8. Altmetric Badge
    Chapter 7 Model-Based Design of Synthetic Antisense RNA for Predictable Gene Repression
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    Chapter 8 Design of a Toolbox of RNA Thermometers
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    Chapter 9 Development of Synthetic Riboswitches to Guide the Evolution of Metabolite Production in Microorganisms.
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    Chapter 10 Efficient Method to Identify Synthetic Riboswitches Using RNA-Based Capture-SELEX Combined with In Vivo Screening
  12. Altmetric Badge
    Chapter 11 RNA Design Principles for Riboswitches that Regulate RNase P-Mediated tRNA Processing
  13. Altmetric Badge
    Chapter 12 Design, Characterization, and Application of Targeted Gene Activation in Bacteria Using a Modular CRISPRa System
  14. Altmetric Badge
    Chapter 13 Reprogramming TracrRNAs for Multiplexed RNA Detection
  15. Altmetric Badge
    Chapter 14 Harnessing CRISPR-Cas9 for Epigenetic Engineering
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    Chapter 15 RNA Structure Prediction, Analysis, and Design: An Introduction to Web-Based Tools
  17. Altmetric Badge
    Chapter 16 Single-Molecule FRET Studies of RNA Structural Rearrangements and RNA-RNA Interactions
  18. Altmetric Badge
    Chapter 17 Cotranscriptional RNA Chemical Probing
Attention for Chapter 9: Development of Synthetic Riboswitches to Guide the Evolution of Metabolite Production in Microorganisms.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Chapter title
Development of Synthetic Riboswitches to Guide the Evolution of Metabolite Production in Microorganisms.
Chapter number 9
Book title
Riboregulator Design and Analysis
Published in
Methods in molecular biology, January 2022
DOI 10.1007/978-1-0716-2421-0_9
Pubmed ID
Book ISBNs
978-1-07-162420-3, 978-1-07-162421-0
Authors

Kim, Minsun, Jang, Sungho, Jung, Gyoo Yeol

Abstract

The untranslated region (UTR) of prokaryotic mRNA contains riboswitches, which are gene regulating modules. Riboswitches can be used as biosensors to regulate the expression of a gene or an operon depending on the intracellular level of a target molecule and consequently modulate the cellular responses. In evolutionary engineering, riboswitch-based biosensors have been widely applied for high-throughput screening or selection of target phenotypes. Evolutionary approaches can overcome the limitations of rational approaches in metabolic engineering. Previous studies have reported synthetic riboswitches equipped with novel aptamers and marker genes based on a deep understanding of the operation mechanism of the riboswitch. Here, we introduce the development process of novel synthetic riboswitches for applications in metabolic engineering.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Student > Bachelor 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 100%
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 07 June 2022.
All research outputs
#14,393,352
of 23,508,125 outputs
Outputs from Methods in molecular biology
#4,097
of 13,360 outputs
Outputs of similar age
#237,526
of 512,221 outputs
Outputs of similar age from Methods in molecular biology
#178
of 819 outputs
Altmetric has tracked 23,508,125 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 13,360 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 67% 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 512,221 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 52% of its contemporaries.
We're also able to compare this research output to 819 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.