The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Predictive Identification of Exonic Splicing Enhancers in Human Genes
Abstract
Specific short oligonucleotide sequences that enhance pre-mRNA splicing when present in exons, termed exonic splicing enhancers (ESEs), play important roles in constitutive and alternative splicing. A computational method, RESCUE-ESE, was developed that predicts which sequences have ESE activity by statistical analysis of exon-intron and splice site composition. When large data sets of human gene sequences were used, this method identified 10 predicted ESE motifs. Representatives of all 10 motifs were found to display enhancer activity in vivo, whereas point mutants of these sequences exhibited sharply reduced activity. The motifs identified enable prediction of the splicing phenotypes of exonic mutations in human genes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Listening to silence and understanding nonsense: exonic mutations that affect splicing
Cartegni, L., Chew, S. L., & Krainer, A. R. (2002) · Nature Reviews Genetics · doi:10.1038/nrg775 · Cited by 2,209
Cited by
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Predicting splicing from primary sequence with deep learning
Jaganathan, K., Kyriazopoulou Panagiotopoulou, S., McRae, J. F., Darbandi, S. F., Knowles, D., Li, Y. I., Kosmicki, J. A., Arbelaez, J., Cui, W., Schwartz, G. B., et al. (2019) · Cell · doi:10.1016/j.cell.2018.12.015 · Cited by 2,853
Mechanisms of Alternative Pre-Messenger RNA Splicing
Black, D. L. (2003) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.72.121801.161720 · Cited by 2,704
Complementary Sequence-Mediated Exon Circularization
Zhang, X.-O., Wang, H.-B., Zhang, Y., Lu, X., Chen, L.-L., & Yang, L. (2014) · Cell · doi:10.1016/j.cell.2014.09.001 · Cited by 1,999
Mechanisms and Regulation of Alternative Pre-mRNA Splicing
Lee, Y., & Rio, D. C. (2015) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-060614-034316 · Cited by 1,291
Metadata
- Authors
- Fairbrother, W. G., Yeh, R.-F., Sharp, P. A., & Burge, C. B.
- Venue
- Science
- Published
- 2002-08-09
- Volume
- 297
- Issue
- 5583
- Pages
- 1007-1013
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2023648355
- Cited by
- 1,036
- References
- 1
- FWCI
- 18.36
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Predictive Identification of Exonic Splicing Enhancers in Human Genes. https://app.cochat.ai/papers/10.1126/science.1073774
- The paper
- Fairbrother, W. G., Yeh, R.-F., Sharp, P. A., & Burge, C. B. (2002). Predictive Identification of Exonic Splicing Enhancers in Human Genes. Science. https://doi.org/10.1126/science.1073774
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
