The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Context-specific regulation and function of mRNA alternative polyadenylation
Open accessAbstract
Alternative cleavage and polyadenylation (APA) is a widespread mechanism to generate mRNA isoforms with alternative 3′ untranslated regions (UTRs). The expression of alternative 3′ UTR isoforms is highly cell type specific and is further controlled in a gene-specific manner by environmental cues. In this Review, we discuss how the dynamic, fine-grained regulation of APA is accomplished by several mechanisms, including cis-regulatory elements in RNA and DNA and factors that control transcription, pre-mRNA cleavage and post-transcriptional processes. Furthermore, signalling pathways modulate the activity of these factors and integrate APA into gene regulatory programmes. Dysregulation of APA can reprogramme the outcome of signalling pathways and thus can control cellular responses to environmental changes. In addition to the regulation of protein abundance, APA has emerged as a major regulator of mRNA localization and the spatial organization of protein synthesis. This role enables the regulation of protein function through the addition of post-translational modifications or the formation of protein–protein interactions. We further discuss recent transformative advances in single-cell RNA sequencing and CRISPR–Cas technologies, which enable the mapping and functional characterization of alternative 3′ UTRs in any biological context. Finally, we discuss new APA-based RNA therapeutics, including compounds that target APA in cancer and therapeutic genome editing of degenerative diseases. Alternative cleavage and polyadenylation (APA) generates mRNA isoforms with alternative 3′ untranslated regions; these isoforms modulate protein abundance and functionality, including through subcellular localization of mRNA and translation. APA is modulated by signalling pathways that control co-transcriptional and post-transcriptional processes, and its dysregulation affects cell responses to environmental changes.
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
Genetic effects on gene expression across human tissues
GTEx Consortium (2017) · Nature · doi:10.1038/nature24277 · Cited by 4,036
Mayr, C., & Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.06.016 · Cited by 1,613
Self-citationHITS-CLIP yields genome-wide insights into brain alternative RNA processing
Licatalosi, D. D., Mele, A., Fak, J. J., Ule, J., Kayikci, M., Chi, S. W., Clark, T. A., Schweitzer, A. C., Blume, J. E., Wang, X., et al. (2008) · Nature · doi:10.1038/nature07488 · Cited by 1,352
Alternative polyadenylation of mRNA precursors
Tian, B., & Manley, J. L. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.116 · Cited by 1,179
Single-cell genomics identifies cell type–specific molecular changes in autism
Velmeshev, D., Schirmer, L., Jung, D., Haeussler, M., Perez, Y., Mayer, S., Bhaduri, A., Goyal, N., Rowitch, D. H., & Kriegstein, A. R. (2019) · Science · doi:10.1126/science.aav8130 · Cited by 927
U1 snRNP protects pre-mRNAs from premature cleavage and polyadenylation
Kaida, D., Berg, M. G., Younis, I., Kasim, M., Singh, L. N., Wan, L., & Dreyfuss, G. (2010) · Nature · doi:10.1038/nature09479 · Cited by 638
Mayr, C. (2019) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a034728 · Cited by 519
Self-citationAlternative 3′ UTRs act as scaffolds to regulate membrane protein localization
Berkovits, B. D., & Mayr, C. (2015) · Nature · doi:10.1038/nature14321 · Cited by 474
Self-citationTushev, G., Glock, C., Heumüller, M., Biever, A., Jovanovic, M., & Schuman, E. M. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.030 · Cited by 377
Orlandini von Niessen, A. G., Poleganov, M. A., Rechner, C., Plaschke, A., Kranz, L. M., Fesser, S., Diken, M., Löwer, M., Vallazza, B., Beissert, T., et al. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2018.12.011 · Cited by 365
Cited by
Effect of mRNA-LNP components of two globally-marketed COVID-19 vaccines on efficacy and stability
Zhang, L., More, K. R., Ojha, A., Jackson, C. B., Quinlan, B. D., Li, H., He, W., Farzan, M., Pardi, N., & Choe, H. (2023) · npj Vaccines · doi:10.1038/s41541-023-00751-6 · Cited by 244
Post-transcriptional control drives Aurora kinase A expression in human cancers
Cacioppo, R., Rad, D., Pagani, G., Gandellini, P., & Lindon, C. (2024) · PLOS ONE · doi:10.1371/journal.pone.0310625 · Cited by 3
Metadata
- Authors
- Mitschka, S., & Mayr, C.
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2022-07-07
- Volume
- 23
- Issue
- 12
- Pages
- 779-796
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- OpenAlex
- W4284675316
- Cited by
- 336
- References
- 16
- FWCI
- 5.15
- 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
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.