↓ Skip to main content

Huntington’s Disease

Overview of attention for book
Huntington’s Disease
Springer New York

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Stereological Methods to Quantify Cell Loss in the Huntington’s Disease Human Brain
  3. Altmetric Badge
    Chapter 2 Assessing Autophagic Activity and Aggregate Formation of Mutant Huntingtin in Mammalian Cells
  4. Altmetric Badge
    Chapter 3 A Filter Retardation Assay Facilitates the Detection and Quantification of Heat-Stable, Amyloidogenic Mutant Huntingtin Aggregates in Complex Biosamples
  5. Altmetric Badge
    Chapter 4 Cellular Models: HD Patient-Derived Pluripotent Stem Cells
  6. Altmetric Badge
    Chapter 6 Mouse Models of Huntington’s Disease
  7. Altmetric Badge
    Chapter 8 Automated Operant Assessments of Huntington’s Disease Mouse Models
  8. Altmetric Badge
    Chapter 10 Murine Models of Huntington’s Disease for Evaluating Therapeutics
  9. Altmetric Badge
    Chapter 11 Generating Excitotoxic Lesion Models of Huntington’s Disease
  10. Altmetric Badge
    Chapter 12 Large-Brained Animal Models of Huntington’s Disease: Sheep
  11. Altmetric Badge
    Chapter 14 Nonhuman Primate Models of Huntington’s Disease and Their Application in Translational Research
  12. Altmetric Badge
    Chapter 15 In Vivo Multidimensional Brain Imaging in Huntington’s Disease Animal Models
  13. Altmetric Badge
    Chapter 16 Magnetic Resonance Imaging in Huntington’s Disease
  14. Altmetric Badge
    Chapter 17 Biofluid Biomarkers in Huntington’s Disease
  15. Altmetric Badge
    Chapter 18 Assessing and Modulating Kynurenine Pathway Dynamics in Huntington’s Disease: Focus on Kynurenine 3-Monooxygenase
  16. Altmetric Badge
    Chapter 20 Using Genomic Data to Find Disease-Modifying Loci in Huntington’s Disease (HD)
  17. Altmetric Badge
    Chapter 22 Methods for Assessing DNA Repair and Repeat Expansion in Huntington’s Disease
  18. Altmetric Badge
    Chapter 23 Translating Antisense Technology into a Treatment for Huntington’s Disease
  19. Altmetric Badge
    Chapter 26 Dissection and Preparation of Human Primary Fetal Ganglionic Eminence Tissue for Research and Clinical Applications
  20. Altmetric Badge
    Chapter 28 Quality Assessment and Production of Human Cells for Clinical Use
  21. Altmetric Badge
    Chapter 29 Erratum to: Large-Brained Animal Models of Huntington’s Disease: Sheep
Attention for Chapter 23: Translating Antisense Technology into a Treatment for Huntington’s Disease
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
91 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
Translating Antisense Technology into a Treatment for Huntington’s Disease
Chapter number 23
Book title
Huntington’s Disease
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7825-0_23
Pubmed ID
Book ISBNs
978-1-4939-7824-3, 978-1-4939-7825-0
Authors

Roger M. Lane, Anne Smith, Tiffany Baumann, Marc Gleichmann, Dan Norris, C. Frank Bennett, Holly Kordasiewicz, Lane, Roger M., Smith, Anne, Baumann, Tiffany, Gleichmann, Marc, Norris, Dan, Bennett, C. Frank, Kordasiewicz, Holly

Abstract

Advances in molecular biology and genetics have been used to elucidate the fundamental genetic mechanisms underlying central nervous system (CNS) diseases, yet disease-modifying therapies are currently unavailable for most CNS conditions. Antisense oligonucleotides (ASOs) are synthetic single stranded chains of nucleic acids that bind to a specific sequence on ribonucleic acid (RNA) and regulate posttranscriptional gene expression. Decreased gene expression with ASOs might be able to reduce production of the disease-causing protein underlying dominantly inherited neurodegenerative disorders. Huntington's disease (HD), which is caused by a CAG repeat expansion in exon 1 of the huntingtin (HTT) gene and leads to the pathogenic expansion of a polyglutamine (PolyQ ) tract in the N terminus of the huntingtin protein (Htt), is a prime candidate for ASO therapy.State-of-the art translational science techniques can be applied to the development of an ASO targeting HTT RNA, allowing for a data-driven, stepwise progression through the drug development process. A deep and wide-ranging understanding of the basic, preclinical, clinical, and epidemiologic components of drug development will improve the likelihood of success. This includes characterizing the natural history of the disease, including evolution of biomarkers indexing the underlying pathology; using predictive preclinical models to assess the putative gain-of-function of mutant Htt protein and any loss-of-function of the wild-type protein; characterizing toxicokinetic and pharmacodynamic effects of ASOs in predictive animal models; developing sensitive and reliable biomarkers to monitor target engagement and effects on pathology that translate from animal models to patients with HD; establishing a drug delivery method that ensures reliable distribution to relevant CNS tissue; and designing clinical trials that move expeditiously from proof of concept to proof of efficacy. This review focuses on the translational science techniques that allow for efficient and informed development of an ASO for the treatment of HD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 21%
Researcher 13 14%
Student > Master 12 13%
Student > Ph. D. Student 9 10%
Other 8 9%
Other 8 9%
Unknown 22 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 21%
Medicine and Dentistry 11 12%
Neuroscience 10 11%
Pharmacology, Toxicology and Pharmaceutical Science 8 9%
Agricultural and Biological Sciences 6 7%
Other 9 10%
Unknown 28 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 March 2021.
All research outputs
#2,922,412
of 23,085,832 outputs
Outputs from Methods in molecular biology
#572
of 13,205 outputs
Outputs of similar age
#68,046
of 442,605 outputs
Outputs of similar age from Methods in molecular biology
#37
of 1,499 outputs
Altmetric has tracked 23,085,832 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,205 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 442,605 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% 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 particularly well, scoring higher than 97% of its contemporaries.