The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Splicing regulation: From a parts list of regulatory elements to an integrated splicing code
Open accessAbstract
Alternative splicing of pre-mRNAs is a major contributor to both proteomic diversity and control of gene expression levels. Splicing is tightly regulated in different tissues and developmental stages, and its disruption can lead to a wide range of human diseases. An important long-term goal in the splicing field is to determine a set of rules or “code” for splicing that will enable prediction of the splicing pattern of any primary transcript from its sequence. Outside of the core splice site motifs, the bulk of the information required for splicing is thought to be contained in exonic and intronic cis-regulatory elements that function by recruitment of sequence-specific RNA-binding protein factors that either activate or repress the use of adjacent splice sites. Here, we summarize the current state of knowledge of splicing cis-regulatory elements and their context-dependent effects on splicing, emphasizing recent global/genome-wide studies and open questions.
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
Makeyev, E. V., Zhang, J., Carrasco, M. A., & Maniatis, T. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.07.015 · Cited by 1,395
CLIP Identifies Nova-Regulated RNA Networks in the Brain
Ule, J., Jensen, K. B., Ruggiu, M., Mele, A., Ule, A., & Darnell, R. B. (2003) · Science · doi:10.1126/science.1090095 · Cited by 1,120
Boutz, P. L., Stoilov, P., Li, Q., Lin, C.-H., Chawla, G., Ostrow, K., Shiue, L., Ares, M., & Black, D. L. (2007) · Genes & Development · doi:10.1101/gad.1558107 · Cited by 577
Pan, Q., Shai, O., Misquitta, C., Zhang, W., Saltzman, A. L., Mohammad, N., Babak, T., Siu, H., Hughes, T. R., Morris, Q. D., et al. (2004) · Molecular Cell · doi:10.1016/j.molcel.2004.12.004 · Cited by 323
Jin, Y., Suzuki, H., Maegawa, S., Endo, H., Sugano, S., Hashimoto, K., Yasuda, K., & Inoue, K. (2003) · The EMBO Journal · doi:10.1093/emboj/cdg089 · Cited by 311
Minovitsky, S. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki210 · Cited by 103
Cited by
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
Spliceosome Structure and Function
Will, C. L., & Luhrmann, R. (2011) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a003707 · Cited by 1,829
Ji, Y., Zhou, Z., Liu, H., & Davuluri, R. V. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab083 · Cited by 1,303
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
Mechanisms of alternative splicing regulation: insights from molecular and genomics approaches
Chen, M., & Manley, J. L. (2009) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2777 · Cited by 1,284
Metadata
- Authors
- Wang, Z., & Burge, C. B.
- Venue
- RNA
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2008-03-27
- Volume
- 14
- Issue
- 5
- Pages
- 802-813
- ISSN
- 1355-8382 (ISSN-L)
- 1469-9001
- OpenAlex
- W2095998476
- Cited by
- 1,086
- References
- 7
- FWCI
- 25.44
- Type
- journal article
- Language
- en
- Open access
- green
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 regulation: From a parts list of regulatory elements to an integrated splicing code. https://app.cochat.ai/papers/10.1261/rna.876308
- The paper
- Wang, Z., & Burge, C. B. (2008). Splicing regulation: From a parts list of regulatory elements to an integrated splicing code. RNA. https://doi.org/10.1261/rna.876308
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.