↓ Skip to main content

In vitro RNA SELEX for the generation of chemically-optimized therapeutic RNA drugs

Overview of attention for article published in Methods, March 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
103 Mendeley
citeulike
2 CiteULike
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.
Article details
Title
In vitro RNA SELEX for the generation of chemically-optimized therapeutic RNA drugs
Published in
Methods, March 2016
DOI 10.1016/j.ymeth.2016.03.003
Pubmed ID
Authors
Abstract

Aptamers are single-stranded DNA or RNA oligonucleotides that can bind with exquisitely high affinity and specificity to target molecules and are thus often referred to as 'nucleic acid' antibodies. Oligonucleotide aptamers are derived through a process of directed chemical evolution called SELEX (Systematic Evolution of Ligands by Exponential enrichment). This chemical equivalent of Darwinian evolution was first described in 1990 by Tuerk & Gold and Ellington & Szostak and has since yielded aptamers for a wide-range of applications, including biosensor technologies, in vitro diagnostics, biomarker discovery, and therapeutics. Since the inception of the original SELEX method, numerous modifications to the protocol have been described to fit the choice of target, specific conditions or applications. Technologies such as high-throughput sequencing methods and microfluidics have also been adapted for SELEX. In this chapter, we outline key steps in the SELEX process for enabling the rapid identification of RNA aptamers for in vivo applications. Specifically, we provide a detailed protocol for the selection of chemically-optimized RNA aptamers using the original in vitro SELEX methodology. In addition, methods for performing next-generation sequencing of the RNAs from each round of selection, based on Illumina sequencing technology, are discussed.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
China 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 22 21%
Student > Ph. D. Student 20 19%
Student > Bachelor 13 13%
Student > Master 7 7%
Other 5 5%
Other 8 8%
Unknown 28 27%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 30%
Agricultural and Biological Sciences 17 17%
Chemistry 13 13%
Medicine and Dentistry 4 4%
Engineering 3 3%
Other 8 8%
Unknown 27 26%
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 24 January 2018.
All research outputs
#22,271,904
of 27,265,592 outputs
Outputs from Methods
#812
of 916 outputs
Outputs of similar age
#237,232
of 317,052 outputs
Outputs of similar age from Methods
#24
of 28 outputs
Altmetric has tracked 27,265,592 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 916 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 6th percentile – i.e., 6% 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 317,052 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.