Gene expression
Do SNPs prove exonic splicing enhancers are real?
Open access · cc by · source: Europe PMC
Human polymorphism patterns validate computationally predicted ESEs and show splicing constrains exon evolution.
How this study connects
Role on claims
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Multiple empirical papers in this library examine gene expression with mechanistic biological findings.
Evidence for the claim as stated.
ESE disruption and near-splice positions show signatures consistent with purifying selection; splicing constrains human exon evolution.
Evidence for the claim as stated.
Systems and scales differ across gene expression studies (species, tissues, methods), so mechanisms should not be over-generalised.
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
Systems and scales differ across gene expression studies (species, tissues, methods), so mechanisms should not be over-generalised.
Study at a glance
- Design
- Computational / modelling — Mapped common SNPs onto exons relative to RESCUE-ESE motifs vs simulated mutations
- N
- Human SNP/ESE comparative genomics — not a sample-N study
- Population
- Human exonic SNPs and splicing-enhancer motif sets
- Outcome
- Purifying selection signatures on exonic splicing enhancers
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Inspect source passages
Do SNPs prove exonic splicing enhancers are real?
These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.
What are ESEs?
Exonic splicing enhancers (ESEs) were identified about a decade ago as short oligonucleotide sequences that enhance exon recognition by the splicing machinery (reviewed in and ).
What evolutionary implication do SNP patterns support?
splicing imposes important constraints on the evolution of human exons.
Key findings
ESE disruption and near-splice positions show signatures consistent with purifying selection; splicing constrains human exon evolution.
Methodology
Mapped common SNPs onto exons relative to RESCUE-ESE motifs and splice-site proximity, comparing natural vs simulated mutations.
Limitations
Does not experimentally assay every predicted hexamer in every tissue.
Related papers in this topic
Same topic cluster — not a recommendation engine.