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Systematic screens of proteins binding to synthetic microRNA precursors

Overview of attention for article published in Nucleic Acids Research, December 2012
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Article details
Title
Systematic screens of proteins binding to synthetic microRNA precursors
Published in
Nucleic Acids Research, December 2012
DOI 10.1093/nar/gks1197
Pubmed ID
Authors
Abstract

We describe a new, broadly applicable methodology for screening in parallel interactions of RNA-binding proteins (RBPs) with large numbers of microRNA (miRNA) precursors and for determining their affinities in native form in the presence of cellular factors. The assays aim at identifying pre-miRNAs that are potentially affected by the selected RBP during their biogenesis. The assays are carried out in microtiter plates and use chemiluminescent readouts. Detection of bound RBPs is achieved by protein or tag-specific antibodies allowing crude cell lysates to be used as a source of RBP. We selected 70 pre-miRNAs with phylogenetically conserved loop regions and 25 precursors of other well-characterized miRNAs for chemical synthesis in 3'-biotinylated form. An equivalent set in unmodified form served as inhibitors in affinity determinations. By testing three RBPs known to regulate miRNA biogenesis on this set of pre-miRNAs, we demonstrate that Lin28 and hnRNP A1 from cell lysates or as recombinant protein domains recognize preferentially precursors of the let-7 family, and that KSRP binds strongly to pre-miR-1-2.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
France 1 2%
Switzerland 1 2%
Unknown 52 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 27%
Student > Master 10 18%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 5 9%
Professor > Associate Professor 3 5%
Other 6 11%
Unknown 9 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 26 47%
Biochemistry, Genetics and Molecular Biology 9 16%
Medicine and Dentistry 3 5%
Chemistry 3 5%
Unspecified 1 2%
Other 3 5%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 February 2013.
All research outputs
#15,169,949
of 25,374,917 outputs
Outputs from Nucleic Acids Research
#21,780
of 27,552 outputs
Outputs of similar age
#170,282
of 286,269 outputs
Outputs of similar age from Nucleic Acids Research
#205
of 367 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,552 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 286,269 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 367 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.