The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The SR protein family of splicing factors: master regulators of gene expression
Abstract
The SR protein family comprises a number of phylogenetically conserved and structurally related proteins with a characteristic domain rich in arginine and serine residues, known as the RS domain. They play significant roles in constitutive pre-mRNA splicing and are also important regulators of alternative splicing. In addition they participate in post-splicing activities, such as mRNA nuclear export, nonsense-mediated mRNA decay and mRNA translation. These wide-ranging roles of SR proteins highlight their importance as pivotal regulators of mRNA metabolism, and if these functions are disrupted, developmental defects or disease may result. Furthermore, animal models have shown a highly specific, non-redundant role for individual SR proteins in the regulation of developmental processes. Here, we will review the current literature to demonstrate how SR proteins are emerging as one of the master regulators of gene expression.
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
Holz, M. K., Ballif, B. A., Gygi, S. P., & Blenis, J. (2005) · Cell · doi:10.1016/j.cell.2005.10.024 · Cited by 1,262
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
Nova regulates brain-specific splicing to shape the synapse
Ule, J., Ule, A., Spencer, J., Williams, A., Hu, J.-S., Cline, M., Wang, H., Clark, T., Fraser, C., Ruggiu, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1610 · Cited by 509
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
Cited by
Long noncoding RNAs and human disease
Wapinski, O., & Chang, H. Y. (2011) · Trends in Cell Biology · doi:10.1016/j.tcb.2011.04.001 · Cited by 1,900
The Noncoding RNA MALAT1 Is a Critical Regulator of the Metastasis Phenotype of Lung Cancer Cells
Gutschner, T., Hämmerle, M., Eißmann, M., Hsu, J., Kim, Y., Hung, G., Revenko, A., Arun, G., Stentrup, M., Groß, M., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-2850 · Cited by 1,415
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
Context-dependent control of alternative splicing by RNA-binding proteins
Fu, X.-D., & Ares, M. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3778 · Cited by 1,044
Metadata
- Authors
- Long, J. C., & Caceres, J. F.
- Venue
- Biochemical Journal
- Publisher
- Portland Press Ltd.
- Published
- 2008-12-12
- Volume
- 417
- Issue
- 1
- Pages
- 15-27
- ISSN
- 0264-6021 (ISSN-L)
- 1470-8728
- OpenAlex
- W2026657651
- Cited by
- 1,137
- References
- 5
- FWCI
- 21.34
- 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: The SR protein family of splicing factors: master regulators of gene expression. https://app.cochat.ai/papers/10.1042/bj20081501
- The paper
- Long, J. C., & Caceres, J. F. (2009). The SR protein family of splicing factors: master regulators of gene expression. Biochemical Journal. https://doi.org/10.1042/bj20081501
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.
