The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A TARBP2 mutation in human cancer impairs microRNA processing and DICER1 function
Open accessAbstract
microRNAs (miRNAs) are small noncoding RNAs that regulate gene expression by targeting messenger RNA (mRNA) transcripts. Recently, a miRNA expression profile of human tumors has been characterized by an overall miRNA downregulation. Explanations for this observation include a failure of miRNA post-transcriptional regulation, transcriptional silencing associated with hypermethylation of CpG island promoters and miRNA transcriptional repression by oncogenic factors. Another possibility is that the enzymes and cofactors involved in miRNA processing pathways may themselves be targets of genetic disruption, further enhancing cellular transformation. However, no loss-of-function genetic alterations in the genes encoding these proteins have been reported. Here we have identified truncating mutations in TARBP2 (TAR RNA-binding protein 2), encoding an integral component of a DICER1-containing complex, in sporadic and hereditary carcinomas with microsatellite instability. The presence of TARBP2 frameshift mutations causes diminished TRBP protein expression and a defect in the processing of miRNAs. The reintroduction of TRBP in the deficient cells restores the efficient production of miRNAs and inhibits tumor growth. Most important, the TRBP impairment is associated with a destabilization of the DICER1 protein. These results provide, for a subset of human tumors, an explanation for the observed defects in the expression of mature miRNAs.
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
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Cited by
Regulation of microRNA biogenesis
Ha, M., & Kim, V. N. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3838 · Cited by 5,462
Non-coding RNAs in human disease
Esteller, M. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3074 · Cited by 4,825
Self-citationThe widespread regulation of microRNA biogenesis, function and decay
Krol, J., Loedige, I., & Filipowicz, W. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2843 · Cited by 4,672
MicroRNA: Biogenesis, Function and Role in Cancer
MacFarlane, L.-A., & R. Murphy, P. (2010) · Current Genomics · doi:10.2174/138920210793175895 · Cited by 1,584
Lujambio, A., & Lowe, S. W. (2012) · Nature · doi:10.1038/nature10888 · Cited by 1,084
Signatures of mutation and selection in the cancer genome
Bignell, G. R., Greenman, C. D., Davies, H., Butler, A. P., Edkins, S., Andrews, J. M., Buck, G., Chen, L., Beare, D., Latimer, C., et al. (2010) · Nature · doi:10.1038/nature08768 · Cited by 707
MicroRNA regulation by RNA-binding proteins and its implications for cancer
van Kouwenhove, M., Kedde, M., & Agami, R. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3107 · Cited by 617
The role of microRNAs in human diseases
Tüfekci, K. U., Öner, M. G., Meuwissen, R. L. J., & Genç, Ş. (2014) · Methods in molecular biology · doi:10.1007/978-1-62703-748-8_3 · Cited by 566
MicroRNAs in the p53 network: micromanagement of tumour suppression
Hermeking, H. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3318 · Cited by 518
Ghildiyal, M., Xu, J., Seitz, H., Weng, Z., & Zamore, P. D. (2010) · RNA · doi:10.1261/rna.1972910 · Cited by 362
Hippo Signaling Regulates Microprocessor and Links Cell-Density-Dependent miRNA Biogenesis to Cancer
Mori, M., Triboulet, R., Mohseni, M., Schlegelmilch, K., Shrestha, K., Camargo, F. D., & Gregory, R. I. (2014) · Cell · doi:10.1016/j.cell.2013.12.043 · Cited by 335
Microsatellite instability: an update
Yamamoto, H., & Imai, K. (2015) · Archives of Toxicology · doi:10.1007/s00204-015-1474-0 · Cited by 247
Self-citationIdentification of a large set of rare complete human knockouts
Sulem, P., Helgason, H., Oddson, A., Stefansson, H., Gudjonsson, S. A., Zink, F., Hjartarson, E., Sigurdsson, G. T., Jonasdottir, A., Jonasdottir, A., et al. (2015) · Nature Genetics · doi:10.1038/ng.3243 · Cited by 220
TRBP alters human precursor microRNA processing in vitro
Lee, H. Y., & Doudna, J. A. (2012) · RNA · doi:10.1261/rna.035501.112 · Cited by 161
Deletion of Human tarbp2 Reveals Cellular MicroRNA Targets and Cell-Cycle Function of TRBP
Kim, Y., Yeo, J., Lee, J. H., Cho, J., Seo, D., Kim, J.-S., & Kim, V. N. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.09.039 · Cited by 124
The use of miRNA microarrays for the analysis of cancer samples with global miRNA decrease
Wu, D., Hu, Y., Tong, S., Williams, B. R. G., Smyth, G. K., & Gantier, M. P. (2013) · RNA · doi:10.1261/rna.035055.112 · Cited by 71
Functional Interactions Between microRNAs and RNA Binding Proteins
Jiang, P., & Coller, H. (2012) · MicroRNA e · doi:10.2174/2211536611201010070 · Cited by 62
Rozovski, U., Calin, G. A., Setoyama, T., D’Abundo, L., Harris, D. M., Li, P., Liu, Z., Grgurevic, S., Ferrajoli, A., Faderl, S., et al. (2013) · Molecular Cancer · doi:10.1186/1476-4598-12-50 · Cited by 55
Self-citationNoncoding RNAs in DNA Repair and Genome Integrity
Wan, G., Liu, Y., Han, C., Zhang, X., & Lu, X. (2014) · Antioxidants & Redox Signaling · doi:10.1089/ars.2013.5514 · Cited by 50
KSRP, many functions for a single protein
Briata, P. (2011) · Frontiers in Bioscience · doi:10.2741/3821 · Cited by 49
Interplay between steroid signalling and microRNAs: implications for hormone-dependent cancers
Fletcher, C. E., Dart, D. A., & Bevan, C. L. (2014) · Endocrine Related Cancer · doi:10.1530/erc-14-0208 · Cited by 37
Metadata
- Authors
- Melo, S. A., Ropero, S., Moutinho, C., Aaltonen, L. A., Yamamoto, H., Calin, G. A., Rossi, S., Fernandez, A. F., Carneiro, F., Oliveira, C., Ferreira, B., Liu, C.-G., Villanueva, A., Capella, G., Schwartz Jr, S., Shiekhattar, R., & Esteller, M.
- Venue
- Nature Genetics
- Published
- 2009-02-15
- Volume
- 41
- Issue
- 3
- Pages
- 365-370
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2114499007
- Cited by
- 373
- References
- 1
- FWCI
- 16.22
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- green
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.
