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MicroRNAs: Target Recognition and Regulatory Functions
Open accessAbstract
MicroRNAs (miRNAs) are endogenous approximately 23 nt RNAs that play important gene-regulatory roles in animals and plants by pairing to the mRNAs of protein-coding genes to direct their posttranscriptional repression. This review outlines the current understanding of miRNA target recognition in animals and discusses the widespread impact of miRNAs on both the expression and evolution of protein-coding genes.
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“miR-106b was predicted to have a binding site at the near end of 3′ UTR of ABCA1 with an 8mer perfect match (an exact match to positions 2–8 of the mature miRNA followed by an adenosine nucleotide) (Fig. 1A) (Bartel, 2009).”
From miR-106b impairs cholesterol efflux and increases Aβ levels by repressing ABCA1 expression (2012) · cites this paper as Bartel, 2009
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“MicroRNAs (miRNAs) have been shown to play important roles in both brain development and the regulation of adult neural cell functions.”
From Comprehensive expression analyses of neural cell-type-specific miRNAs identify new determinants of the specification and maintenance of neuronal phenotypes (2013) · cites this paper as Bartel, 2009
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“a class of noncoding RNAs, termed microRNAs (miRNAs), has emerged as critical regulators of gene expression acting predominantly at the posttranscriptional level (8–10).”
From miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling (2011) · cites this paper as [9]
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“miRNA targeting of mRNAs inhibits their expression through mRNA destabilization, repression of translation, or a combination of both processes (8–10).”
From miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling (2011) · cites this paper as [9]
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“miRNAs are frequently found in genomic clusters (Bartel, 2009).”
From Comprehensive expression analyses of neural cell-type-specific miRNAs identify new determinants of the specification and maintenance of neuronal phenotypes (2013) · cites this paper as Bartel, 2009
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“MicroRNAs (miRNAs) are 22-nt RNAs that pair to sites in mRNAs to target these messages for posttranscriptional repression32.”
From Poly(A)-tail profiling reveals an embryonic switch in translational control (2014) · cites this paper as [32]
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“Computational approaches to predict physical interactions can partly circumvent bias (TABLE 1), but they do not address tissue specificity, and there may be relatively low reproducibility across different methods 58,59.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [58]
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“RBPs, such as human antigen R (HuR), AU-binding factor 1 (AUF1), and tristetraprolin (TTP), can directly or indirectly control the turnover and translation of mRNAs that encode senescence proteins [181,182,183].”
From Mechanisms and Regulation of Cellular Senescence (2021) · cites this paper as [182]
In the citing paper
“MicroRNAs (miRNAs) are small non-coding RNAs that negatively regulate the expression of genes in a sequence-specific manner, binding to the 3′-untranslated region (3′UTR) to initiate cleavage or translational repression of target transcripts [5,6].”
From miR-10b-5p expression in Huntington’s disease brain relates to age of onset and the extent of striatal involvement (2015) · cites this paper as [6]
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Citations
Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
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
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Self-citationMost 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
Self-citationThe nuclear RNase III Drosha initiates microRNA processing
Lee, Y., Ahn, C., Han, J., Choi, H., Kim, J., Yim, J., Lee, J., Provost, P., Rådmark, O., Kim, S., et al. (2003) · Nature · doi:10.1038/nature01957 · Cited by 5,299
(2008) · doi:10.1038/nrg2290 · Cited by 5,199
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
Self-citationThe 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans
Reinhart, B. J., Slack, F. J., Basson, M., Pasquinelli, A. E., Bettinger, J. C., Rougvie, A. E., Horvitz, H. R., & Ruvkun, G. (2000) · Nature · doi:10.1038/35002607 · Cited by 4,989
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
Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs
Lim, L. P., Lau, N. C., Garrett-Engele, P., Grimson, A., Schelter, J. M., Castle, J., Bartel, D. P., Linsley, P. S., & Johnson, J. M. (2005) · Nature · doi:10.1038/nature03315 · Cited by 4,755
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Sorted by citations
Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990
Natural RNA circles function as efficient microRNA sponges
Hansen, T. B., Jensen, T. I., Clausen, B. H., Bramsen, J. B., Finsen, B., Damgaard, C. K., & Kjems, J. (2013) · Nature · doi:10.1038/nature11993 · Cited by 7,985
Regulation of microRNA biogenesis
Ha, M., & Kim, V. N. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3838 · Cited by 5,462
The 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
Mammalian 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
Self-citationRegulation of mRNA Translation and Stability by microRNAs
Fabian, M. R., Sonenberg, N., & Filipowicz, W. (2010) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-060308-103103 · Cited by 3,214
Gene silencing by microRNAs: contributions of translational repression and mRNA decay
Huntzinger, E., & Izaurralde, E. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2936 · Cited by 2,339
Fusobacterium nucleatum Promotes Chemoresistance to Colorectal Cancer by Modulating Autophagy
Yu, T., Guo, F., Yu, Y., Sun, T., Ma, D., Han, J., Qian, Y., Kryczek, I., Sun, D., Nagarsheth, N., et al. (2017) · Cell · doi:10.1016/j.cell.2017.07.008 · Cited by 2,198
The functions and regulation of the PTEN tumour suppressor
Song, M. S., Salmena, L., & Pandolfi, P. P. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3330 · Cited by 1,926
RNA-guided genetic silencing systems in bacteria and archaea
Wiedenheft, B., Sternberg, S. H., & Doudna, J. A. (2012) · Nature · doi:10.1038/nature10886 · Cited by 1,851
Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites
Betel, D., Koppal, A., Agius, P., Sander, C., & Leslie, C. (2010) · Genome Biology · doi:10.1186/gb-2010-11-8-r90 · Cited by 1,592
Mayr, C., & Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.06.016 · Cited by 1,613
Self-citationmiR-145 and miR-143 regulate smooth muscle cell fate and plasticity
Cordes, K. R., Sheehy, N. T., White, M. P., Berry, E. C., Morton, S. U., Muth, A. N., Lee, T.-H., Miano, J. M., Ivey, K. N., & Srivastava, D. (2009) · Nature · doi:10.1038/nature08195 · Cited by 1,585
Adipose-derived circulating miRNAs regulate gene expression in other tissues
Thomou, T., Mori, M. A., Dreyfuss, J. M., Konishi, M., Sakaguchi, M., Wolfrum, C., Rao, T. N., Winnay, J. N., Garcia-Martin, R., Grinspoon, S. K., et al. (2017) · Nature · doi:10.1038/nature21365 · Cited by 1,539
Hematopoietic Stem Cell Gene Therapy with a Lentiviral Vector in X-Linked Adrenoleukodystrophy
Cartier, N., Hacein-Bey-Abina, S., Bartholomae, C. C., Veres, G., Schmidt, M., Kutschera, I., Vidaud, M., Abel, U., Dal-Cortivo, L., Caccavelli, L., et al. (2009) · Science · doi:10.1126/science.1171242 · Cited by 1,508
Ha, D., Yang, N., & Nadithe, V. (2016) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2016.02.001 · Cited by 1,346
The miR-34 family in cancer and apoptosis
Hermeking, H. (2010) · Cell Death & Differentiation · doi:10.1038/cdd.2009.56 · Cited by 1,236
Ying, W., Riopel, M., Bandyopadhyay, G., Dong, Y., Birmingham, A., Seo, J. B., Ofrecio, J. M., Wollam, J., Hernandez-Carretero, A., Fu, W., et al. (2017) · Cell · doi:10.1016/j.cell.2017.08.035 · Cited by 1,191
Epigenetics and gene expression
Gibney, E. R., & Nolan, C. M. (2010) · Heredity · doi:10.1038/hdy.2010.54 · Cited by 1,109
Pervasive roles of microRNAs in cardiovascular biology
Small, E. M., & Olson, E. N. (2011) · Nature · doi:10.1038/nature09783 · Cited by 1,180
Diversifying microRNA sequence and function
Ameres, S. L., & Zamore, P. D. (2013) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3611 · Cited by 1,175
Neural circular RNAs are derived from synaptic genes and regulated by development and plasticity
You, X., Vlatkovic, I., Babic, A., Will, T., Epstein, I., Tushev, G., Akbalik, G., Wang, M., Glock, C., Quedenau, C., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3975 · Cited by 1,149
Fong, M. Y., Zhou, W., Liu, L., Alontaga, A. Y., Chandra, M., Ashby, J., Chow, A., O’Connor, S. T. F., Li, S., Chin, A. R., et al. (2015) · Nature Cell Biology · doi:10.1038/ncb3094 · Cited by 1,118
Makki, K., Froguel, P., & Wolowczuk, I. (2013) · ISRN Inflammation · doi:10.1155/2013/139239 · Cited by 1,085
ROS, Cell Senescence, and Novel Molecular Mechanisms in Aging and Age‐Related Diseases
Davalli, P., Mitic, T., Caporali, A., Lauriola, A., & D’Arca, D. (2016) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2016/3565127 · Cited by 1,059
Lujambio, A., & Lowe, S. W. (2012) · Nature · doi:10.1038/nature10888 · Cited by 1,084
siRNA versus miRNA as therapeutics for gene silencing
Lam, J. K. W., Chow, M. Y. T., Zhang, Y., & Leung, S. W. S. (2015) · Molecular Therapy — Nucleic Acids · doi:10.1038/mtna.2015.23 · Cited by 1,081
Functional screening identifies miRNAs inducing cardiac regeneration
Eulalio, A., Mano, M., Ferro, M. D., Zentilin, L., Sinagra, G., Zacchigna, S., & Giacca, M. (2012) · Nature · doi:10.1038/nature11739 · Cited by 1,029
Genome-wide binding of the CRISPR endonuclease Cas9 in mammalian cells
Wu, X., Scott, D. A., Kriz, A. J., Chiu, A. C., Hsu, P. D., Dadon, D. B., Cheng, A. W., Trevino, A. E., Konermann, S., Chen, S., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2889 · Cited by 944
MicroRNAs 103 and 107 regulate insulin sensitivity
Trajkovski, M., Hausser, J., Soutschek, J., Bhat, B., Akin, A., Zavolan, M., Heim, M. H., & Stoffel, M. (2011) · Nature · doi:10.1038/nature10112 · Cited by 1,000
A novel pathway regulates memory and plasticity via SIRT1 and miR-134
Gao, J., Wang, W.-Y., Mao, Y.-W., Gräff, J., Guan, J.-S., Pan, L., Mak, G., Kim, D., Su, S. C., & Tsai, L.-H. (2010) · Nature · doi:10.1038/nature09271 · Cited by 975
MicroRNA-33 and the SREBP Host Genes Cooperate to Control Cholesterol Homeostasis
Najafi-Shoushtari, S. H., Kristo, F., Li, Y., Shioda, T., Cohen, D. E., Gerszten, R. E., & Näär, A. M. (2010) · Science · doi:10.1126/science.1189123 · Cited by 957
Beyond GWASs: Illuminating the Dark Road from Association to Function
Edwards, S. L., Beesley, J., French, J. D., & Dunning, A. M. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.10.012 · Cited by 784
NLRP3 inflammasome and its inhibitors: a review
Shao, B.-Z., Xu, Z.-Q., Han, B.-Z., Su, D.-F., & Liu, C. (2015) · Frontiers in Pharmacology · doi:10.3389/fphar.2015.00262 · Cited by 836
“These endogenous non-coding RNAs are 20– 23 nt long and bind to the 3′ untranslated region (3′ UTR) of protein-coding mRNAs to regulate their translation (Bartel, 2009; Chen and Sun, 2013).”
Hu, J. L., Wang, W., Lan, X. L., Zeng, Z. C., Liang, Y. S., Yan, Y. R., Song, F. Y., Wang, F. F., Zhu, X. H., Liao, W. J., et al. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1019-x · Cited by 773
The host shapes the gut microbiota via fecal microRNA
Liu, S., da Cunha, A. P., Rezende, R. M., Cialic, R., Wei, Z., Bry, L., Comstock, L. E., Gandhi, R., & Weiner, H. L. (2016) · Cell Host & Microbe · doi:10.1016/j.chom.2015.12.005 · Cited by 808
Enuka, Y., Lauriola, M., Feldman, M. E., Sas-Chen, A., Ulitsky, I., & Yarden, Y. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1367 · Cited by 757
Ribosome Profiling Shows That miR-430 Reduces Translation Before Causing mRNA Decay in Zebrafish
Bazzini, A. A., Lee, M. T., & Giraldez, A. J. (2012) · Science · doi:10.1126/science.1215704 · Cited by 709
Evolution of microRNA diversity and regulation in animals
Berezikov, E. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3079 · Cited by 712
miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling
Dávalos, A., Goedeke, L., Smibert, P., Ramírez, C. M., Warrier, N. P., Andreo, U., Cirera-Salinas, D., Rayner, K., Suresh, U., Pastor-Pareja, J. C., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1102281108 · Cited by 670
Poly(A)-tail profiling reveals an embryonic switch in translational control
Subtelny, A. O., Eichhorn, S. W., Chen, G. R., Sive, H., & Bartel, D. P. (2014) · Nature · doi:10.1038/nature13007 · Cited by 664
Self-citationNeural tissue engineering options for peripheral nerve regeneration
Gu, X., Ding, F., & Williams, D. F. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.04.064 · Cited by 630
Thiol-linked alkylation for the metabolic sequencing of RNA
Herzog, V. A., Reichholf, B., Neumann, T., Rescheneder, P., Bhat, P., Burkard, T. R., Wlotzka, W., von Haeseler, A., Zuber, J., & Ameres, S. L. (2017) · doi:10.1101/177642 · Cited by 622
The miRNA-212/132 family regulates both cardiac hypertrophy and cardiomyocyte autophagy
Ucar, A., Gupta, S. K., Fiedler, J., Erikci, E., Kardasinski, M., Batkai, S., Dangwal, S., Kumarswamy, R., Bang, C., Holzmann, A., et al. (2012) · Nature Communications · doi:10.1038/ncomms2090 · Cited by 610
Regulation by 3′-Untranslated Regions
Mayr, C. (2017) · Annual Review of Genetics · doi:10.1146/annurev-genet-120116-024704 · Cited by 588
Landscape and variation of RNA secondary structure across the human transcriptome
Wan, Y., Qu, K., Zhang, Q. C., Flynn, R. A., Manor, O., Ouyang, Z., Zhang, J., Spitale, R. C., Snyder, M. P., Segal, E., et al. (2014) · Nature · doi:10.1038/nature12946 · Cited by 555
Direct Conversion of Fibroblasts to Neurons by Reprogramming PTB-Regulated MicroRNA Circuits
Xue, Y., Ouyang, K., Huang, J., Zhou, Y., Ouyang, H., Li, H., Wang, G., Wu, Q., Wei, C., Bi, Y., et al. (2013) · Cell · doi:10.1016/j.cell.2012.11.045 · Cited by 562
Identifying miRNAs, targets and functions
Liu, B., Li, J., & Cairns, M. J. (2014) · Briefings in Bioinformatics · doi:10.1093/bib/bbs075 · Cited by 563
miR-33 links SREBP-2 induction to repression of sterol transporters
Marquart, T. J., Allen, R. M., Ory, D. S., & Baldán, Á. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005191107 · Cited by 562
MicroRNAs in the p53 network: micromanagement of tumour suppression
Hermeking, H. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3318 · Cited by 518
Pu, M., Chen, J., Tao, Z., Miao, L., Qi, X., Wang, Y., & Ren, J. (2019) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-018-2940-7 · Cited by 500
Pairing beyond the Seed Supports MicroRNA Targeting Specificity
Broughton, J. P., Lovci, M. T., Huang, J. L., Yeo, G. W., & Pasquinelli, A. E. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.09.004 · Cited by 487
METTL1 Promotes let-7 MicroRNA Processing via m7G Methylation
Pandolfini, L., Barbieri, I., Bannister, A. J., Hendrick, A., Andrews, B., Webster, N., Murat, P., Mach, P., Brandi, R., Robson, S. C., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.03.040 · Cited by 491
“Their specificity is mediated by partial base pairing to sequences predominantly found in the 30 UTR of mRNAs (Bartel, 2009).”
Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders
Parikshak, N. N., Gandal, M. J., & Geschwind, D. H. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3934 · Cited by 430
MiR-16 Targets the Serotonin Transporter: A New Facet for Adaptive Responses to Antidepressants
Baudry, A., Mouillet-Richard, S., Schneider, B., Launay, J.-M., & Kellermann, O. (2010) · Science · doi:10.1126/science.1193692 · Cited by 480
Adamson, B., Smogorzewska, A., Sigoillot, F. D., King, R. W., & Elledge, S. J. (2012) · Nature Cell Biology · doi:10.1038/ncb2426 · Cited by 433
Epigenetic Regulation in Plants
Pikaard, C. S., & Mittelsten Scheid, O. (2014) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a019315 · Cited by 440
HDL-transferred microRNA-223 regulates ICAM-1 expression in endothelial cells
Tabet, F., Vickers, K. C., Cuesta Torres, L. F., Wiese, C. B., Shoucri, B. M., Lambert, G., Catherinet, C., Prado-Lourenco, L., Levin, M. G., Thacker, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms4292 · Cited by 428
A Consideration of Biomarkers to be Used for Evaluation of Inflammation in Human Nutritional Studies
Calder, P. C., Ahluwalia, N., Albers, R., Bosco, N., Bourdet-Sicard, R., Haller, D., Holgate, S. T., Jönsson, L. S., Latulippe, M. E., Marcos, A., et al. (2013) · British Journal of Nutrition · doi:10.1017/s0007114512005119 · Cited by 425
Yang, Y., Han, L., Yuan, Y., Li, J., Hei, N., & Liang, H. (2014) · Nature Communications · doi:10.1038/ncomms4231 · Cited by 423
Interplay between miRNAs and human diseases
Paul, P., Chakraborty, A., Sarkar, D., Langthasa, M., Rahman, M., Bari, M., Singha, R. S., Malakar, A. K., & Chakraborty, S. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.25854 · Cited by 420
microRNA miR-27b impairs human adipocyte differentiation and targets PPARγ
Karbiener, M., Fischer, C., Nowitsch, S., Opriessnig, P., Papak, C., Ailhaud, G., Dani, C., Amri, E.-Z., & Scheideler, M. (2009) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2009.09.098 · Cited by 409
Rajasethupathy, P., Fiumara, F., Sheridan, R., Betel, D., Puthanveettil, S. V., Russo, J. J., Sander, C., Tuschl, T., & Kandel, E. (2009) · Neuron · doi:10.1016/j.neuron.2009.05.029 · Cited by 406
Mechanisms and Regulation of Cellular Senescence
Roger, L., Tomas, F., & Gire, V. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222313173 · Cited by 395
Londin, E., Loher, P., Telonis, A. G., Quann, K., Clark, P., Jing, Y., Hatzimichael, E., Kirino, Y., Honda, S., Lally, M., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420955112 · Cited by 404
Expression of miR-33 from an SREBP2 Intron Inhibits Cholesterol Export and Fatty Acid Oxidation*
Gerin, I., Clerbaux, L.-A., Haumont, O., Lanthier, N., Das, A. K., Burant, C. F., Leclercq, I. A., MacDougald, O. A., & Bommer, G. T. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.152090 · Cited by 382
Trials and Tribulations of MicroRNA Therapeutics
Seyhan, A. A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031469 · Cited by 381
microRNA Expression Patterns Reveal Differential Expression of Target Genes with Age
Noren Hooten, N., Abdelmohsen, K., Gorospe, M., Ejiogu, N., Zonderman, A. B., & Evans, M. K. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010724 · Cited by 357
Matoulkova, E., Michalova, E., Vojtesek, B., & Hrstka, R. (2012) · RNA Biology · doi:10.4161/rna.20231 · Cited by 357
Morgan, C. P., & Bale, T. L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.1887-11.2011 · Cited by 346
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
MicroRNAs and their isomiRs function cooperatively to target common biological pathways
Cloonan, N., Wani, S., Xu, Q., Gu, J., Lea, K., Heater, S., Barbacioru, C., Steptoe, A. L., Martin, H. C., Nourbakhsh, E., et al. (2011) · Genome Biology · doi:10.1186/gb-2011-12-12-r126 · Cited by 345
Favaro, E., Ramachandran, A., McCormick, R., Gee, H., Blancher, C., Crosby, M., Devlin, C., Blick, C., Buffa, F., Li, J.-L., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010345 · Cited by 324
“Recently microRNAs (miRs), which are small (,22 nt) noncoding RNAs that regulate post-transcriptional gene expression by blocking translation of target mRNAs or by accelerating their degradation [10,11], have been reported to be induced by hypoxia.”
Denzler, R., McGeary, S. E., Title, A. C., Agarwal, V., Bartel, D. P., & Stoffel, M. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.09.027 · Cited by 340
An alternative mode of microRNA target recognition
Chi, S. W., Hannon, G. J., & Darnell, R. B. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2230 · Cited by 328
Moore, M. J., Scheel, T. K. H., Luna, J. M., Park, C. Y., Fak, J. J., Nishiuchi, E., Rice, C. M., & Darnell, R. B. (2015) · Nature Communications · doi:10.1038/ncomms9864 · Cited by 326
Smalheiser, N. R., Lugli, G., Rizavi, H. S., Torvik, V. I., Turecki, G., & Dwivedi, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033201 · Cited by 324
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Alt, E. U., Senst, C., Murthy, S. N., Slakey, D. P., Dupin, C. L., Chaffin, A. E., Kadowitz, P. J., & Izadpanah, R. (2012) · Stem Cell Research · doi:10.1016/j.scr.2011.11.002 · Cited by 316
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Metadata
- Authors
- Bartel, D. P.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Bartel, David P.
- ORCID
- Bartel, David P.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2009-01
- Volume
- 136
- Issue
- 2
- Pages
- 215-233
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC3794896
- OpenAlex
- W2162674813
- Cited by
- 20,068
- References
- 114
- Citations by year
- 2026: 479 · 2025: 559 · 2024: 821 · 2023: 841 · 2022: 1188 · 2021: 1453 · 2020: 1508 · 2019: 1438 · 2018: 1500 · 2017: 1523 · 2016: 1508 · 2015: 1555 · 2014: 1483 · 2013: 1380 · 2012: 1184
- FWCI
- 59.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Elsevier eBooks
- Funders
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- microRNA, miRNA target recognition, post-transcriptional regulation, mRNA silencing, gene expression regulation, gene evolution, protein-coding genes, animals, plants
- MeSH terms
- Animals, Gene Expression Regulation, Humans, 3' Untranslated Regions, MicroRNAs
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