The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Regulation of constitutive and alternative splicing by PRMT5 reveals a role for Mdm4 pre-mRNA in sensing defects in the spliceosomal machinery
Open accessAbstract
The tight control of gene expression at the level of both transcription and post-transcriptional RNA processing is essential for mammalian development. We here investigate the role of protein arginine methyltransferase 5 (PRMT5), a putative splicing regulator and transcriptional cofactor, in mammalian development. We demonstrate that selective deletion of PRMT5 in neural stem/progenitor cells (NPCs) leads to postnatal death in mice. At the molecular level, the absence of PRMT5 results in reduced methylation of Sm proteins, aberrant constitutive splicing, and the alternative splicing of specific mRNAs with weak 5′ donor sites. Intriguingly, the products of these mRNAs are, among others, several proteins regulating cell cycle progression. We identify Mdm4 as one of these key mRNAs that senses the defects in the spliceosomal machinery and transduces the signal to activate the p53 response, providing a mechanistic explanation of the phenotype observed in vivo. Our data demonstrate that PRMT5 is a master regulator of splicing in mammals and uncover a new role for the Mdm4 pre-mRNA, which could be exploited for anti-cancer therapy.
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
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Chromatin modifications and their function
Kouzarides, T. (2007) · Cell · doi:10.1016/j.cell.2007.02.005 · Cited by 10,883
Lane, D. P. (1992) · Nature · doi:10.1038/358015a0 · Cited by 5,138
Differential analysis of gene regulation at transcript resolution with RNA-seq
Trapnell, C., Hendrickson, D. G., Sauvageau, M., Goff, L., Rinn, J. L., & Pachter, L. (2013) · Nature Biotechnology · doi:10.1038/nbt.2450 · Cited by 3,492
Suppression of induced pluripotent stem cell generation by the p53–p21 pathway
Hong, H., Takahashi, K., Ichisaka, T., Aoi, T., Kanagawa, O., Nakagawa, M., Okita, K., & Yamanaka, S. (2009) · Nature · doi:10.1038/nature08235 · Cited by 1,301
Linking the p53 tumour suppressor pathway to somatic cell reprogramming
Kawamura, T., Suzuki, J., Wang, Y. V., Menendez, S., Morera, L. B., Raya, A., Wahl, G. M., & Belmonte, J. C. I. (2009) · Nature · doi:10.1038/nature08311 · Cited by 1,115
The Evolutionary Landscape of Alternative Splicing in Vertebrate Species
Barbosa-Morais, N. L., Irimia, M., Pan, Q., Xiong, H. Y., Gueroussov, S., Lee, L. J., Slobodeniuc, V., Kutter, C., Watt, S., Çolak, R., et al. (2012) · Science · doi:10.1126/science.1230612 · Cited by 1,063
Understanding the role of TDP-43 and FUS/TLS in ALS and beyond
Da Cruz, S., & Cleveland, D. W. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.05.029 · Cited by 351
MDM4 is a key therapeutic target in cutaneous melanoma
Gembarska, A., Luciani, F., Fedele, C., Russell, E. A., Dewaele, M., Villar, S., Zwolinska, A., Haupt, S., de Lange, J., Yip, D., et al. (2012) · Nature Medicine · doi:10.1038/nm.2863 · Cited by 327
Mdm4 and Mdm2 cooperate to inhibit p53 activity in proliferating and quiescent cells in vivo
Francoz, S., Froment, P., Bogaerts, S., De Clercq, S., Maetens, M., Doumont, G., Bellefroid, E., & Marine, J.-C. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0508476103 · Cited by 260
Cited by
Arginine Methylation: The Coming of Age
Blanc, R. S., & Richard, S. (2017) · Molecular Cell · doi:10.1016/j.molcel.2016.11.003 · Cited by 1,054
RNA splicing dysregulation and the hallmarks of cancer
Bradley, R. K., & Anczuków, O. (2023) · Nature Reviews Cancer · doi:10.1038/s41568-022-00541-7 · Cited by 579
Therapeutic targeting of splicing in cancer
Lee, S. C.-W., & Abdel-Wahab, O. (2016) · Nature Medicine · doi:10.1038/nm.4165 · Cited by 561
Roles and regulation of histone methylation in animal development
Jambhekar, A., Dhall, A., & Shi, Y. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0151-1 · Cited by 556
MTAP deletions in cancer create vulnerability to targeting of the MAT2A/PRMT5/RIOK1 axis
Marjon, K., Cameron, M. J., Quang, P., Clasquin, M. F., Mandley, E., Kunii, K., McVay, M., Choe, S., Kernytsky, A., Gross, S., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.03.043 · Cited by 485
Metadata
- Authors
- Bezzi, M., Teo, S. X., Muller, J., Mok, W. C., Sahu, S. K., Vardy, L. A., Bonday, Z. Q., & Guccione, E.
- Venue
- Genes & Development
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2013-09-01
- Volume
- 27
- Issue
- 17
- Pages
- 1903-1916
- ISSN
- 0890-9369 (ISSN-L)
- 1549-5477
- OpenAlex
- W2125049252
- Cited by
- 300
- References
- 14
- Type
- posted content
- Language
- en
- Open access
- diamond
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: Regulation of constitutive and alternative splicing by PRMT5 reveals a role for Mdm4 pre-mRNA in sensing defects in the spliceosomal machinery. https://app.cochat.ai/papers/10.1101/gad.219899.113
- The paper
- Bezzi, M., Teo, S. X., Muller, J., Mok, W. C., Sahu, S. K., Vardy, L. A., Bonday, Z. Q., & Guccione, E. (2013). Regulation of constitutive and alternative splicing by PRMT5 reveals a role for Mdm4 pre-mRNA in sensing defects in the spliceosomal machinery. Genes & Development. https://doi.org/10.1101/gad.219899.113
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.
