Evidence map›Paper›PMID 21659425›Full record

ArticleGenome research2011

Quantitative evaluation of all hexamers as exonic splicing elements.

Shengdong Ke, Shulian Shang, Sergey M Kalachikov, Irina Morozova, Lin Yu, James J Russo, Jingyue Ju, Lawrence A Chasin

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

142 citing papers in PubMed, 232 citations in OpenAlex.

  1. Article
  2. Control of gene output by intron RNA structure.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Single Antisense Oligonucleotides Correct Diverse Splicing Mutations in Hotspot Exons.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Pre-mRNA Splicing Modulation by Antisense Oligonucleotides.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Copper-binding proteins and exonic splicing enhancers and silencers.Metallomics : integrated biometal science · 2024
    Article
  18. Article
  19. Article
  20. Article

82 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Shengdong KeDepartment of Biological Sciences, Columbia University, New York, New York 10027, USA.
Shulian Shang
Sergey M Kalachikov
Irina Morozova
Lin Yu
James J Russo
Jingyue Ju
Lawrence A Chasin
New York Genome Center · USColumbia University · US

Funding

Exon recognition during constitutive pre-mRNA splicingR01GM072740 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI CHASIN, LAWRENCE ALLEN · 2005 to 2013
$3.1M
Exon recognition during constitutive pre-mRNA splicingR56GM072740 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI CHASIN, LAWRENCE ALLEN · 2009 to 2009
$292k
NIGMS NIH HHS GM072740NIGMS NIH HHS R01 GM072740NIGMS NIH HHS R56 GM072740
6 · The paper itself

Abstract

We describe a comprehensive quantitative measure of the splicing impact of a complete set of RNA 6-mer sequences by deep sequencing successfully spliced transcripts. All 4096 6-mers were substituted at five positions within two different internal exons in a 3-exon minigene, and millions of successfully spliced transcripts were sequenced after transfection of human cells. The results allowed the assignment of a relative splicing strength score to each mutant molecule. The effect of 6-mers on splicing often depended on their location; much of this context effect could be ascribed to the creation of different overlapping sequences at each site. Taking these overlaps into account, the splicing effect of each 6-mer could be quantified, and 6-mers could be designated as enhancers (ESEseqs) and silencers (ESSseqs), with an ESRseq score indicating their strength. Some 6-mers exhibited positional bias relative to the two splice sites. The distribution and conservation of these ESRseqs in and around human exons supported their classification. Predicted RNA secondary structure effects were also seen: Effective enhancers, silencers and 3' splice sites tend to be single stranded, and effective 5' splice sites tend to be double stranded. 6-mers that may form positive or negative synergy with another were also identified. Chromatin structure may also influence the splicing enhancement observed, as a good correspondence was found between splicing performance and the predicted nucleosome occupancy scores of 6-mers. This approach may prove of general use in defining nucleic acid regulatory motifs, substitute for functional SELEX in most cases, and provide insights about splicing mechanisms.

Indexed as

ChromatinExonsHumansNucleic Acid ConformationRegulatory Sequences, Ribonucleic AcidRNARNA Splice SitesRNA SplicingChromatinRegulatory Sequences, Ribonucleic AcidRNARNA Splice Sites

Identifiers

PMID21659425
PMCPMC3149502
OpenAlexW2102046311

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.