↓ Skip to main content

Gene Therapy for HIV and Chronic Infections

Overview of attention for book
Attention for Chapter 3: U1 interference (U1i) for Antiviral Approaches.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
14 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
U1 interference (U1i) for Antiviral Approaches.
Chapter number 3
Book title
Gene Therapy for HIV and Chronic Infections
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-1-4939-2432-5_3
Pubmed ID
Book ISBNs
978-1-4939-2431-8, 978-1-4939-2432-5
Authors

Lorea Blázquez, Puri Fortes

Abstract

U1 snRNP (U1 small nuclear ribonucleoprotein) is an essential component of the splicing machinery. U1 snRNP also plays an additional role in 3'-end mRNA processing when it binds close to polyadenylation sites (PAS). Cotranscriptionally, U1 snRNP binding close to putative PAS prevents premature cleavage and polyadenylation and consequently safeguards pre-mRNA transcripts and defines promoter directionality. At the 3'-end of mRNAs, U1 snRNP binding to putative PAS may regulate mRNA length or inhibit polyadenylation and, therefore, gene expression. U1 interference (U1i) is a technique to inhibit gene expression based on the property of U1 snRNP to inhibit polyadenylation. It requires the expression of a modified U1 snRNP, which interacts with a target gene upstream of its PAS and inhibits target gene expression. U1i has been used to inhibit the expression of reporter or endogenous genes both in tissue culture and in animal models. In addition, U1i combination with RNA interference (RNAi), another RNA-based gene silencing technology, results in a synergistic increased inhibition. This is of special interest for antiviral therapy, where strong inhibitions may be required to decrease the expression of replicative viral RNAs and impact the replication cycle. Furthermore, the combination of U1i and RNAi-based inhibitors should prevent the appearance of viral variants resistant to the treatment and allows the dose of inhibitors to be decreased and a functional inhibition to be obtained with fewer off target effects. In fact, U1i has been used to inhibit the expression of HIV-1 and HBV, whose viral genomes express mRNAs that must be polyadenylated by the nuclear polyadenylation machinery. In the case of HBV, antiviral U1i has been combined with RNAi to demonstrate a strong inhibition of expression from HBV sequences in vivo. This shows that, although several aspects of U1i technology remain to be addressed, U1i and U1i combined with RNAi have great potential as antivirals.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Researcher 3 21%
Student > Bachelor 2 14%
Other 1 7%
Student > Doctoral Student 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Biochemistry, Genetics and Molecular Biology 3 21%
Nursing and Health Professions 1 7%
Medicine and Dentistry 1 7%
Engineering 1 7%
Other 0 0%
Unknown 4 29%
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 12 March 2015.
All research outputs
#18,402,666
of 22,794,367 outputs
Outputs from Advances in experimental medicine and biology
#3,311
of 4,949 outputs
Outputs of similar age
#255,771
of 353,053 outputs
Outputs of similar age from Advances in experimental medicine and biology
#163
of 272 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 353,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 272 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.