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Chapter title |
Determination of Anti-miR Association with miRNA/Argonaute Complexes In Vivo.
|
---|---|
Chapter number | 5 |
Book title |
Drug Target miRNA
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Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6563-2_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6561-8, 978-1-4939-6563-2
|
Authors |
Dimitrios G. Zisoulis |
Editors |
Marco F. Schmidt |
Abstract |
Aberrant expression of microRNAs (miRNAs) has been causatively linked to multiple disease pathologies while pharmacological inhibition of overexpressed miRNAs by modified oligonucleotides, termed anti-miRs, has been shown to ameliorate the disease phenotype. Anti-miRs are also widely used in academia to define miRNA-mediated regulation of gene networks in vitro and in vivo. Here, we describe a methodology that allows the determination of the physical association of miRNA inhibitors and their targets in the context of the Argonaute complex in vivo, providing unprecedented insight into the physiological interactions of anti-miRs and the miRNA machinery. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 50% |
Researcher | 2 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 50% |
Neuroscience | 1 | 25% |
Computer Science | 1 | 25% |
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 11 January 2018.
All research outputs
#18,510,888
of 22,931,367 outputs
Outputs from Methods in molecular biology
#7,929
of 13,127 outputs
Outputs of similar age
#310,860
of 420,713 outputs
Outputs of similar age from Methods in molecular biology
#692
of 1,074 outputs
Altmetric has tracked 22,931,367 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 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 420,713 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.