↓ Skip to main content

Zinc Finger Proteins

Overview of attention for book
Cover of 'Zinc Finger Proteins'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 PRDM14, a Zinc Finger Protein, Regulates Cancer Stemness
  3. Altmetric Badge
    Chapter 2 Computational Methods for Analysis of the DNA-Binding Preferences of Cys2His2 Zinc-Finger Proteins
  4. Altmetric Badge
    Chapter 3 Design and Application of 6mA-Specific Zinc-Finger Proteins for the Readout of DNA Methylation
  5. Altmetric Badge
    Chapter 4 Enhanced Manipulation of Human Mitochondrial DNA Heteroplasmy In Vitro Using Tunable mtZFN Technology
  6. Altmetric Badge
    Chapter 5 Engineering RNA-Binding Proteins by Modular Assembly of RanBP2-Type Zinc Fingers
  7. Altmetric Badge
    Chapter 6 Design of a System for Monitoring Ubiquitination Activities of E2 Enzymes Using Engineered RING Finger Proteins
  8. Altmetric Badge
    Chapter 7 Directed Evolution of Targeted Recombinases for Genome Engineering
  9. Altmetric Badge
    Chapter 8 Optical Recording of Cellular Zinc Dynamics with Zinc-Finger-Based Biosensors
  10. Altmetric Badge
    Chapter 9 Delivery of Superoxide Dismutase Using Cys 2 -His 2 Zinc-Finger Proteins
  11. Altmetric Badge
    Chapter 10 Genome Editing of MSCs as a Platform for Cell Therapy
  12. Altmetric Badge
    Chapter 11 Integrated Multimodal Evaluation of Genotoxicity in ZFN-Modified Primary Human Cells
  13. Altmetric Badge
    Chapter 12 Selection and Characterization of DNA Aptamers Against FokI Nuclease Domain
  14. Altmetric Badge
    Chapter 13 An Improved Genome Engineering Method Using Surrogate Reporter-Coupled Suicidal ZFNs
  15. Altmetric Badge
    Chapter 14 Non-transgenic Approach to Deliver ZFNs in Seeds for Targeted Genome Engineering
  16. Altmetric Badge
    Chapter 15 Gene Editing in Channel Catfish via Double Electroporation of Zinc-Finger Nucleases
  17. Altmetric Badge
    Chapter 16 Delivery of mtZFNs into Early Mouse Embryos
  18. Altmetric Badge
    Chapter 17 Stereotaxic Surgery and Viral Delivery of Zinc-Finger Epigenetic Editing Tools in Rodent Brain
  19. Altmetric Badge
    Chapter 18 In Vivo Applications of Cell-Penetrating Zinc-Finger Transcription Factors
  20. Altmetric Badge
    Chapter 19 Manufacturing and Delivering Genome-Editing Proteins
Attention for Chapter 4: Enhanced Manipulation of Human Mitochondrial DNA Heteroplasmy In Vitro Using Tunable mtZFN Technology
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Enhanced Manipulation of Human Mitochondrial DNA Heteroplasmy In Vitro Using Tunable mtZFN Technology
Chapter number 4
Book title
Zinc Finger Proteins
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8799-3_4
Pubmed ID
Book ISBNs
978-1-4939-8798-6, 978-1-4939-8799-3
Authors

Gammage, Payam A, Minczuk, Michal, Payam A. Gammage, Michal Minczuk, Gammage, Payam A.

Abstract

As a platform capable of mtDNA heteroplasmy manipulation, mitochondrially targeted zinc-finger nuclease (mtZFN) technology holds significant potential for the future of mitochondrial genome engineering, in both laboratory and clinic. Recent work highlights the importance of finely controlled mtZFN levels in mitochondria, permitting far greater mtDNA heteroplasmy modification efficiencies than observed in early applications. An initial approach, differential fluorescence-activated cell sorting (dFACS), allowing selection of transfected cells expressing various levels of mtZFN, demonstrated improved heteroplasmy modification. A further, key optimization has been the use of an engineered hammerhead ribozyme as a means for dynamic regulation of mtZFN expression, which has allowed the development of a unique isogenic cellular model of mitochondrial dysfunction arising from mutations in mtDNA, known as mTUNE. Protocols detailing these transformative optimizations are described in this chapter.

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 20%
Student > Ph. D. Student 3 20%
Researcher 2 13%
Librarian 1 7%
Professor 1 7%
Other 3 20%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 53%
Agricultural and Biological Sciences 3 20%
Computer Science 1 7%
Unknown 3 20%
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 01 September 2018.
All research outputs
#13,271,448
of 23,102,082 outputs
Outputs from Methods in molecular biology
#3,453
of 13,208 outputs
Outputs of similar age
#211,434
of 442,707 outputs
Outputs of similar age from Methods in molecular biology
#314
of 1,499 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 73% 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 442,707 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 51% of its contemporaries.
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 done well, scoring higher than 78% of its contemporaries.