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Exonic Splicing Enhancer Motif Recognized by Human SC35 under Splicing Conditions

Overview of attention for article published in Molecular & Cellular Biology, March 2023
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

patent
6 patents

Readers on

mendeley
119 Mendeley
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1 CiteULike
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Article details
Title
Exonic Splicing Enhancer Motif Recognized by Human SC35 under Splicing Conditions
Published in
Molecular & Cellular Biology, March 2023
DOI 10.1128/mcb.20.3.1063-1071.2000
Pubmed ID
Authors
Abstract

Exonic splicing enhancers (ESEs) are important cis elements required for exon inclusion. Using an in vitro functional selection and amplification procedure, we have identified a novel ESE motif recognized by the human SR protein SC35 under splicing conditions. The selected sequences are functional and specific: they promote splicing in nuclear extract or in S100 extract complemented by SC35 but not by SF2/ASF. They can also function in a different exonic context from the one used for the selection procedure. The selected sequences share one or two close matches to a short and highly degenerate octamer consensus, GRYYcSYR. A score matrix was generated from the selected sequences according to the nucleotide frequency at each position of their best match to the consensus motif. The SC35 score matrix, along with our previously reported SF2/ASF score matrix, was used to search the sequences of two well-characterized splicing substrates derived from the mouse immunoglobulin M (IgM) and human immunodeficiency virus tat genes. Multiple SC35 high-score motifs, but only two widely separated SF2/ASF motifs, were found in the IgM C4 exon, which can be spliced in S100 extract complemented by SC35. In contrast, multiple high-score motifs for both SF2/ASF and SC35 were found in a variant of the Tat T3 exon (lacking an SC35-specific silencer) whose splicing can be complemented by either SF2/ASF or SC35. The motif score matrix can help locate SC35-specific enhancers in natural exon sequences.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 119 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 5 4%
Germany 3 3%
Netherlands 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Australia 1 <1%
Unknown 106 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 34 29%
Researcher 30 25%
Student > Doctoral Student 9 8%
Student > Master 9 8%
Student > Bachelor 7 6%
Other 19 16%
Unknown 11 9%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 59 50%
Biochemistry, Genetics and Molecular Biology 27 23%
Medicine and Dentistry 7 6%
Computer Science 6 5%
Immunology and Microbiology 2 2%
Other 5 4%
Unknown 13 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 14 May 2013.
All research outputs
#7,633,569
of 34,526,284 outputs
Outputs from Molecular & Cellular Biology
#3,253
of 14,058 outputs
Outputs of similar age
#110,434
of 450,273 outputs
Outputs of similar age from Molecular & Cellular Biology
#2,359
of 10,436 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 14,058 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 57% 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 450,273 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 10,436 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.