The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
miRNAs in human cancer
Open accessAbstract
Mature microRNAs (miRNAs) are single‐stranded RNA molecules of 20–23 nucleotide (nt) length that control gene expression in many cellular processes. These molecules typically reduce the stability of mRNAs, including those of genes that mediate processes in tumorigenesis, such as inflammation, cell cycle regulation, stress response, differentiation, apoptosis and invasion. miRNA targeting is mostly achieved through specific base‐pairing interactions between the 5′ end (‘seed’ region) of the miRNA and sites within coding and untranslated regions (UTRs) of mRNAs; target sites in the 3′ UTR lead to more effective mRNA destabilization. Since miRNAs frequently target hundreds of mRNAs, miRNA regulatory pathways are complex. To provide a critical overview of miRNA dysregulation in cancer, we first discuss the methods currently available for studying the role of miRNAs in cancer and then review miRNA genomic organization, biogenesis and mechanism of target recognition, examining how these processes are altered in tumorigenesis. Given the critical role miRNAs play in tumorigenesis processes and their disease‐specific expression, they hold potential as therapeutic targets and novel biomarkers. Copyright © 2010 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Most mammalian mRNAs are conserved targets of microRNAs
Friedman, R. C., Farh, K. K.-H., Burge, C. B., & Bartel, D. P. (2009) · Genome Research · doi:10.1101/gr.082701.108 · Cited by 8,462
Calin, G. A., Dumitru, C. D., Shimizu, M., Bichi, R., Zupo, S., Noch, E., Aldler, H., Rattan, S., Keating, M., Rai, K., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242606799 · Cited by 5,111
Identification of Novel Genes Coding for Small Expressed RNAs
Lagos-Quintana, M., Rauhut, R., Lendeckel, W., & Tuschl, T. (2001) · Science · doi:10.1126/science.1064921 · Cited by 4,956
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
Combinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
Wightman, B., Ha, I., & Ruvkun, G. (1993) · Cell · doi:10.1016/0092-8674(93)90530-4 · Cited by 4,292
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
Self-citationMammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing
Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., Aravin, A., Pfeffer, S., Rice, A., Kamphorst, A. O., Landthaler, M., et al. (2007) · Cell · doi:10.1016/j.cell.2007.04.040 · Cited by 3,626
Self-citationThe impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
Widespread changes in protein synthesis induced by microRNAs
Selbach, M., Schwanhäusser, B., Thierfelder, N., Fang, Z., Khanin, R., & Rajewsky, N. (2008) · Nature · doi:10.1038/nature07228 · Cited by 3,429
Park, S.-M., Gaur, A. B., Lengyel, E., & Peter, M. E. (2008) · Genes & Development · doi:10.1101/gad.1640608 · Cited by 2,272
miR-122 regulation of lipid metabolism revealed by in vivo antisense targeting
Esau, C., Davis, S., Murray, S. F., Yu, X. X., Pandey, S. K., Pear, M., Watts, L., Booten, S. L., Graham, M., McKay, R., et al. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.01.005 · Cited by 2,082
Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis
Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010
Mayr, C., & Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.06.016 · Cited by 1,613
BASKERVILLE, S., & BARTEL, D. P. (2005) · RNA · doi:10.1261/rna.7240905 · Cited by 1,508
OncomiR addiction in an in vivo model of microRNA-21-induced pre-B-cell lymphoma
Medina, P. P., Nolde, M., & Slack, F. J. (2010) · Nature · doi:10.1038/nature09284 · Cited by 971
Mammalian microRNAs: experimental evaluation of novel and previously annotated genes
Chiang, H. R., Schoenfeld, L. W., Ruby, J. G., Auyeung, V. C., Spies, N., Baek, D., Johnston, W. K., Russ, C., Luo, S., Babiarz, J. E., et al. (2010) · Genes & Development · doi:10.1101/gad.1884710 · Cited by 825
MicroRNA sponges: Progress and possibilities
Ebert, M. S., & Sharp, P. A. (2010) · RNA · doi:10.1261/rna.2414110 · Cited by 762
O'Connell, R. M., Rao, D. S., Chaudhuri, A. A., Boldin, M. P., Taganov, K. D., Nicoll, J., Paquette, R. L., & Baltimore, D. (2008) · The Journal of Experimental Medicine · doi:10.1084/jem.20072108 · Cited by 681
Modulation of K-Ras-Dependent Lung Tumorigenesis by MicroRNA-21
Hatley, M. E., Patrick, D. M., Garcia, M. R., Richardson, J. A., Bassel-Duby, R., van Rooij, E., & Olson, E. N. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.08.013 · Cited by 626
Diversity of microRNAs in human and chimpanzee brain
Berezikov, E., Thuemmler, F., van Laake, L. W., Kondova, I., Bontrop, R., Cuppen, E., & Plasterk, R. H. A. (2006) · Nature Genetics · doi:10.1038/ng1914 · Cited by 502
Lin28 recruits the TUTase Zcchc11 to inhibit let-7 maturation in mouse embryonic stem cells
Hagan, J. P., Piskounova, E., & Gregory, R. I. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1676 · Cited by 491
A biochemical approach to identifying microRNA targets
Karginov, F. V., Conaco, C., Xuan, Z., Schmidt, B. H., Parker, J. S., Mandel, G., & Hannon, G. J. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709971104 · Cited by 371
An ENU-induced mutation of miR-96 associated with progressive hearing loss in mice
Lewis, M. A., Quint, E., Glazier, A. M., Fuchs, H., De Angelis, M. H., Langford, C., van Dongen, S., Abreu-Goodger, C., Piipari, M., Redshaw, N., et al. (2009) · Nature Genetics · doi:10.1038/ng.369 · Cited by 302
Up-regulation of miR-21 by HER2/neu signaling promotes cell invasion
Huang, T.-H., Wu, F., Loeb, G. B., Hsu, R., Heidersbach, A., Brincat, A., Horiuchi, D., Lebbink, R. J., Mo, Y.-Y., Goga, A., et al. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.006676 · Cited by 191
Cited by
The accessible chromatin landscape of the human genome
Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen, E., Sheffield, N. C., Stergachis, A. B., Wang, H., Vernot, B., et al. (2012) · Nature · doi:10.1038/nature11232 · Cited by 2,679
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
Silencing disease genes in the laboratory and the clinic
Watts, J. K., & Corey, D. R. (2012) · The Journal of Pathology · doi:10.1002/path.2993 · Cited by 470
Matoulkova, E., Michalova, E., Vojtesek, B., & Hrstka, R. (2012) · RNA Biology · doi:10.4161/rna.20231 · Cited by 357
MicroRNA-223 is neuroprotective by targeting glutamate receptors
Harraz, M. M., Eacker, S. M., Wang, X., Dawson, T. M., & Dawson, V. L. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121288109 · Cited by 283
Metadata
- Authors
- Farazi, T. A., Spitzer, J. I., Morozov, P., & Tuschl, T.
- Venue
- The Journal of Pathology
- Publisher
- Wiley
- Published
- 2010-11-18
- Volume
- 223
- Issue
- 2
- Pages
- 102-115
- ISSN
- 0022-3417 (ISSN-L)
- 1096-9896
- OpenAlex
- W1970760326
- Cited by
- 895
- References
- 29
- FWCI
- 23.76
- Type
- journal article
- Language
- en
- 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.
