The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The SR protein family
Open accessAbstract
SUMMARY: The processing of pre-mRNAs is a fundamental step required for the expression of most metazoan genes. Members of the family of serine/arginine (SR)-rich proteins are critical components of the machineries carrying out these essential processing events, highlighting their importance in maintaining efficient gene expression. SR proteins are characterized by their ability to interact simultaneously with RNA and other protein components via an RNA recognition motif (RRM) and through a domain rich in arginine and serine residues, the RS domain. Their functional roles in gene expression are surprisingly diverse, ranging from their classical involvement in constitutive and alternative pre-mRNA splicing to various post-splicing activities, including mRNA nuclear export, nonsense-mediated decay, and mRNA translation. These activities point up the importance of SR proteins during the regulation of mRNA metabolism.
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
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
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
Cheng, S.-W. G., Kuzyk, M. A., Moradian, A., Ichu, T.-A., Chang, V. C.-D., Tien, J. F., Vollett, S. E., Griffith, M., Marra, M. A., & Morin, G. B. (2012) · Molecular and Cellular Biology · doi:10.1128/mcb.06267-11 · Cited by 124
Dissecting the role of low-complexity regions in the evolution of vertebrate proteins
Radó-Trilla, N., & Albà, M. (2012) · BMC Evolutionary Biology · doi:10.1186/1471-2148-12-155 · Cited by 89
Proteome analysis of the HIV-1 Gag interactome
Engeland, C. E., Brown, N. P., Börner, K., Schümann, M., Krause, E., Kaderali, L., Müller, G. A., & Kräusslich, H.-G. (2014) · Virology · doi:10.1016/j.virol.2014.04.038 · Cited by 55
Metadata
- Authors
- Shepard, P. J., & Hertel, K. J.
- Venue
- Genome Biology
- Published
- 2009
- Volume
- 10
- Issue
- 10
- Pages
- 242
- ISSN
- 1465-6906 (ISSN-L)
- OpenAlex
- W2108978314
- Cited by
- 416
- References
- 1
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.