The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.
Splicing in disease: disruption of the splicing code and the decoding machinery
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
The Consensus Coding Sequences of Human Breast and Colorectal Cancers
Sjöblom, T., Jones, S., Wood, L. D., Parsons, D. W., Lin, J., Barber, T. D., Mandelker, D., Leary, R. J., Ptak, J., Silliman, N., et al. (2006) · Science · doi:10.1126/science.1133427 · Cited by 3,169
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
The ENCODE (ENCyclopedia Of DNA Elements) Project
(2004) · Science · doi:10.1126/science.1105136 · Cited by 2,390
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
Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease
Ueda, H., Howson, J. M. M., Esposito, L., Heward, J., Snook, Chamberlain, G., Rainbow, D. B., Hunter, K. M. D., Smith, A. N., Di Genova, G., et al. (2003) · Nature · doi:10.1038/nature01621 · Cited by 2,175
Human Gene Mutation Database (HGMD®): 2003 update: HGMD 2003 UPDATE
Stenson, P. D., Ball, E. V., Mort, M., Phillips, A. D., Shiel, J. A., Thomas, N. S. T., Abeysinghe, S., Krawczak, M., & Cooper, D. N. (2003) · Human Mutation · doi:10.1002/humu.10212 · Cited by 1,829
Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays
Johnson, J. M., Castle, J., Garrett-Engele, P., Kan, Z., Loerch, P. M., Armour, C. D., Santos, R., Schadt, E. E., Stoughton, R., & Shoemaker, D. D. (2003) · Science · doi:10.1126/science.1090100 · Cited by 1,418
Krawczak, M., Reiss, J., & Cooper, D. (1992) · Human Genetics · doi:10.1007/bf00210743 · Cited by 1,324
Understanding alternative splicing: towards a cellular code
Matlin, A. J., Clark, F., & Smith, C. W. J. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1645 · Cited by 1,305
A genomic view of alternative splicing
Modrek, B., & Lee, C. (2002) · Nature Genetics · doi:10.1038/ng0102-13 · Cited by 1,302
Cited by
Shen, S., Park, J. W., Lu, Z.-X., Lin, L., Henry, M. D., Wu, Y. N., Zhou, Q., & Xing, Y. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419161111 · Cited by 2,713
The Spliceosome: Design Principles of a Dynamic RNP Machine
Wahl, M. C., Will, C. L., & Lührmann, R. (2009) · Cell · doi:10.1016/j.cell.2009.02.009 · Cited by 2,665
RNA sequencing: advances, challenges and opportunities
Ozsolak, F., & Milos, P. M. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2934 · Cited by 2,135
“Characterization of alternative splicing patterns Given the importance of alternative splicing patterns in development and the fact that 15–60% of known disease-causing mutations affect splicin”
BackgroundHITS-CLIP yields genome-wide insights into brain alternative RNA processing
Licatalosi, D. D., Mele, A., Fak, J. J., Ule, J., Kayikci, M., Chi, S. W., Clark, T. A., Schweitzer, A. C., Blume, J. E., Wang, X., et al. (2008) · Nature · doi:10.1038/nature07488 · Cited by 1,352
Function of alternative splicing
Stamm, S., Ben-Ari, S., Rafalska, I., Tang, Y., Zhang, Z., Toiber, D., Thanaraj, T. A., & Soreq, H. (2005) · Gene · doi:10.1016/j.gene.2004.10.022 · Cited by 1,377
Metadata
- Authors
- Wang, G.-S., & Cooper, T. A.
- Venue
- Nature Reviews Genetics
- Published
- 2007-08-29
- Volume
- 8
- Issue
- 10
- Pages
- 749-761
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2098824600
- Cited by
- 1,050
- References
- 119
- FWCI
- 3.24
- 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: Splicing in disease: disruption of the splicing code and the decoding machinery. https://app.cochat.ai/papers/10.1038/nrg2164
- The paper
- Wang, G.-S., & Cooper, T. A. (2007). Splicing in disease: disruption of the splicing code and the decoding machinery. Nature Reviews Genetics. https://doi.org/10.1038/nrg2164
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.
