The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Genome-wide Analysis Reveals SR Protein Cooperation and Competition in Regulated Splicing
Open accessAbstract
Summary SR proteins are well-characterized RNA binding proteins that promote exon inclusion by binding to exonic splicing enhancers (ESEs). However, it has been unclear whether regulatory rules deduced on model genes apply generally to activities of SR proteins in the cell. Here, we report global analyses of two prototypical SR proteins SRSF1 (SF2/ASF) and SRSF2 (SC35) using splicing-sensitive arrays and CLIP-seq on mouse embryo fibroblasts (MEFs). Unexpectedly, we find that these SR proteins promote both inclusion and skipping of exons in vivo, but their binding patterns do not explain such opposite responses. Further analyses reveal that loss of one SR protein is accompanied by coordinated loss or compensatory gain in the interaction of other SR proteins at the affected exons. Therefore, specific effects on regulated splicing by one SR protein actually depend on a complex set of relationships with multiple other SR proteins in mammalian genomes.
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
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Yeo, G. W., Coufal, N. G., Liang, T. Y., Peng, G. E., Fu, X.-D., & Gage, F. H. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1545 · Cited by 572
Self-citationXue, Y., Zhou, Y., Wu, T., Zhu, T., Ji, X., Kwon, Y.-S., Zhang, C., Yeo, G., Black, D. L., Sun, H., et al. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.12.003 · Cited by 469
Self-citationDu, H., Cline, M. S., Osborne, R. J., Tuttle, D. L., Clark, T. A., Donohue, J. P., Hall, M. P., Shiue, L., Swanson, M. S., Thornton, C. A., et al. (2010) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1720 · Cited by 332
Self-citation
Cited by
Nuclear m6A Reader YTHDC1 Regulates mRNA Splicing
Xiao, W., Adhikari, S., Dahal, U., Chen, Y.-S., Hao, Y.-J., Sun, B.-F., Sun, H.-Y., Li, A., Ping, X.-L., Lai, W.-Y., et al. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.01.012 · Cited by 2,054
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
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
Self-citationTherapeutic targeting of splicing in cancer
Lee, S. C.-W., & Abdel-Wahab, O. (2016) · Nature Medicine · doi:10.1038/nm.4165 · Cited by 561
Alternative splicing as a source of phenotypic diversity
Wright, C. J., Smith, C. W. J., & Jiggins, C. D. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00514-4 · Cited by 454
Metadata
- Authors
- Pandit, S., Zhou, Y., Shiue, L., Coutinho-Mansfield, G., Li, H., Qiu, J., Huang, J., Yeo, G. W., Ares, M., & Fu, X.-D.
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 50
- Issue
- 2
- Pages
- 223-235
- ISSN
- 1097-2765 (ISSN-L)
- OpenAlex
- W2138431129
- Cited by
- 321
- References
- 4
- FWCI
- 12.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Genome-wide Analysis Reveals SR Protein Cooperation and Competition in Regulated Splicing. https://app.cochat.ai/papers/10.1016/j.molcel.2013.03.001
- The paper
- Pandit, S., Zhou, Y., Shiue, L., Coutinho-Mansfield, G., Li, H., Qiu, J., Huang, J., Yeo, G. W., Ares, M., & Fu, X.-D. (2013). Genome-wide Analysis Reveals SR Protein Cooperation and Competition in Regulated Splicing. Molecular Cell. https://doi.org/10.1016/j.molcel.2013.03.001
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.