참고문헌
- Agarwal, V., Bell, G.W., Nam, J.W., and Bartel, D.P. (2015). Predicting effective microRNA target sites in mammalian mRNAs. eLife 4.
- Ambros, V. (2004). The functions of animal microRNAs. Nature 431, 350-355. https://doi.org/10.1038/nature02871
- Baek, D., Villen, J., Shin, C., Camargo, F.D., Gygi, S.P., and Bartel, D.P. (2008). The impact of microRNAs on protein output. Nature 455, 64-71. https://doi.org/10.1038/nature07242
- Bartel, D.P. (2009). MicroRNAs: target recognition and regulatory functions. Cell 136, 215-233. https://doi.org/10.1016/j.cell.2009.01.002
- Bernstein, E., Kim, S.Y., Carmell, M.A., Murchison, E.P., Alcorn, H., Li, M.Z., Mills, A.A., Elledge, S.J., Anderson, K.V., and Hannon, G.J. (2003). Dicer is essential for mouse development. Nat. Genet. 35, 215-217. https://doi.org/10.1038/ng1253
- Boudreau, R.L., Jiang, P., Gilmore, B.L., Spengler, R.M., Tirabassi, R., Nelson, J.A., Ross, C.A., Xing, Y., and Davidson, B.L. (2014). Transcriptome-wide discovery of microRNA binding sites in human brain. Neuron 81, 294-305. https://doi.org/10.1016/j.neuron.2013.10.062
- Brennecke, J., Stark, A., Russell, R.B., and Cohen, S.M. (2005). Principles of microRNA-target recognition. PLoS Biol. 3, e85. https://doi.org/10.1371/journal.pbio.0030085
- Brodersen, P., and Voinnet, O. (2009). Revisiting the principles of microRNA target recognition and mode of action. Nat. Rev. Mol. Cell Biol. 10, 141-148.
- Chandradoss, S.D., Schirle, N.T., Szczepaniak, M., MacRae, I.J., and Joo, C. (2015). A dynamic search process underlies microRNA targeting. Cell 162, 96-107. https://doi.org/10.1016/j.cell.2015.06.032
- Chi, S.W., Zang, J.B., Mele, A., and Darnell, R.B. (2009). Argonaute HITS-CLIP decodes microRNA-mRNA interaction maps. Nature 460, 479-486. https://doi.org/10.1038/nature08170
- Chi, S.W., Hannon, G.J., and Darnell, R.B. (2012). An alternative mode of microRNA target recognition. Nat. Struct. Mol. Biol. 19, 321-327. https://doi.org/10.1038/nsmb.2230
- Croce, C.M. (2009). Causes and consequences of microRNA dysregulation in cancer. Nat. Rev. Genet. 10, 704-714. https://doi.org/10.1038/nrg2634
- Didiano, D., and Hobert, O. (2006). Perfect seed pairing is not a generally reliable predictor for miRNA-target interactions. Nat. Struct Mol. Biol. 13, 849-851. https://doi.org/10.1038/nsmb1138
- Easow, G., Teleman, A.A., and Cohen, S.M. (2007). Isolation of microRNA targets by miRNP immunopurification. RNA 13, 1198-1204. https://doi.org/10.1261/rna.563707
- Eichhorn, S.W., Guo, H., McGeary, S.E., Rodriguez-Mias, R.A., Shin, C., Baek, D., Hsu, S.H., Ghoshal, K., Villen, J., and Bartel, D.P. (2014). mRNA destabilization is the dominant effect of mammalian microRNAs by the time substantial repression ensues. Mol. Cell 56, 104-115. https://doi.org/10.1016/j.molcel.2014.08.028
- Elkayam, E., Kuhn, C.D., Tocilj, A., Haase, A.D., Greene, E.M., Hannon, G.J., and Joshua-Tor, L. (2012). The structure of human argonaute-2 in complex with miR-20a. Cell 150, 100-110. https://doi.org/10.1016/j.cell.2012.05.017
- Fabian, M.R., Sonenberg, N., and Filipowicz, W. (2010). Regulation of mRNA translation and stability by microRNAs. Ann. Rev. Biochem. 79, 351-379. https://doi.org/10.1146/annurev-biochem-060308-103103
- Filipowicz, W. (2005). RNAi: the nuts and bolts of the RISC machine. Cell 122, 17-20. https://doi.org/10.1016/j.cell.2005.06.023
- Friedman, R.C., Farh, K.K., Burge, C.B., and Bartel, D.P. (2009). Most mammalian mRNAs are conserved targets of microRNAs. Genome Res. 19, 92-105.
- Grimson, A. (2007). MicroRNA targeting specificity in mammals: determinants beyond seed pairing. Mol. Cell 27, 91-105. https://doi.org/10.1016/j.molcel.2007.06.017
- Grosswendt, S., Filipchyk, A., Manzano, M., Klironomos, F., Schilling, M., Herzog, M., Gottwein, E., and Rajewsky, N. (2014). Unambiguous identification of miRNA:target site interactions by different types of ligation reactions. Mol. Cell 54, 1042-1054. https://doi.org/10.1016/j.molcel.2014.03.049
- Guo, H., Ingolia, N.T., Weissman, J.S., and Bartel, D.P. (2010). Mammalian microRNAs predominantly act to decrease target mRNA levels. Nature 466, 835-840. https://doi.org/10.1038/nature09267
- Haecker, I., Gay, L.A., Yang, Y., Hu, J., Morse, A.M., McIntyre, L.M., and Renne, R. (2012). Ago HITS-CLIP expands understanding of Kaposi's sarcoma-associated herpesvirus miRNA function in primary effusion lymphomas. PLoS Pathog. 8, e1002884. https://doi.org/10.1371/journal.ppat.1002884
- Hafner, M., Landthaler, M., Burger, L., Khorshid, M., Hausser, J., Berninger, P., Rothballer, A., Ascano, M., Jr., Jungkamp, A.C., Munschauer, M., et al. (2010). Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP. Cell 141, 129-141. https://doi.org/10.1016/j.cell.2010.03.009
- Hammell, M. (2008). mirWIP: microRNA target prediction based on microRNA-containing ribonucleoprotein-enriched transcripts. Nat. Methods 5, 813-819. https://doi.org/10.1038/nmeth.1247
- He, L., and Hannon, G.J. (2004). MicroRNAs: small RNAs with a big role in gene regulation. Nat. Rev. Genet. 5, 522-531. https://doi.org/10.1038/nrg1379
- Hebert, S.S., and De Strooper, B. (2009). Alterations of the microRNA network cause neurodegenerative disease. Trend Neurosci. 32, 199-206. https://doi.org/10.1016/j.tins.2008.12.003
- Helwak, A., Kudla, G., Dudnakova, T., and Tollervey, D. (2013). Mapping the human miRNA interactome by CLASH reveals frequent noncanonical binding. Cell 153, 654-665. https://doi.org/10.1016/j.cell.2013.03.043
- Hendrickson, D.G., Hogan, D.J., Herschlag, D., Ferrell, J.E., and Brown, P.O. (2008). Systematic identification of mRNAs recruited to argonaute 2 by specific microRNAs and corresponding changes in transcript abundance. PLoS One 3, e2126. https://doi.org/10.1371/journal.pone.0002126
- Jo, M.H., Shin, S., Jung, S.R., Kim, E., Song, J.J., and Hohng, S. (2015). Human argonaute 2 has diverse reaction pathways on target RNAs. Mol. Cell 59, 117-124. https://doi.org/10.1016/j.molcel.2015.04.027
- John, B., Enright, A.J., Aravin, A., Tuschl, T., Sander, C., and Marks, D.S. (2004). Human MicroRNA targets. PLoS Biol. 2, e363. https://doi.org/10.1371/journal.pbio.0020363
- Kameswaran, V., Bramswig, N.C., McKenna, L.B., Penn, M., Schug, J., Hand, N.J., Chen, Y., Choi, I., Vourekas, A., Won, K.J., et al. (2014). Epigenetic regulation of the DLK1-MEG3 microRNA cluster in human type 2 diabetic islets. Cell Metabol. 19, 135-145. https://doi.org/10.1016/j.cmet.2013.11.016
- Karginov, F.V. (2007). A biochemical approach to identifying microRNA targets. Proc. Natl. Acad. Sci. USA 104, 19291-19296. https://doi.org/10.1073/pnas.0709971104
- Kim, V.N. (2005). Small RNAs: classification, biogenesis, and function. Mol. Cells 19, 1-15. https://doi.org/10.1016/j.molcel.2005.05.026
- Kim, V.N., Han, J., and Siomi, M.C. (2009). Biogenesis of small RNAs in animals. Nat. Rev. Mol. Cell Biol. 10, 126-139.
- Kim, K.K., Ham, J., and Chi, S.W. (2013). miRTCat: a comprehensive map of human and mouse microRNA target sites including non-canonical nucleation bulges. Bioinformatics 29, 1898-1899. https://doi.org/10.1093/bioinformatics/btt296
- Kim, S., Seo, D., Kim, D., Hong, Y., Chang, H., Baek, D., Kim, V.N., Lee, S., and Ahn, K. (2015). Temporal landscape of microRNAmediated host-virus crosstalk during productive human cytomegalovirus infection. Cell Host Microbe 17, 838-851. https://doi.org/10.1016/j.chom.2015.05.014
- Kishore, S., Jaskiewicz, L., Burger, L., Hausser, J., Khorshid, M., and Zavolan, M. (2011). A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins. Nat. Methods 8, 559-564. https://doi.org/10.1038/nmeth.1608
- Konig, J., Zarnack, K., Rot, G., Curk, T., Kayikci, M., Zupan, B., Turner, D.J., Luscombe, N.M., and Ule, J. (2010). iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution. Nat. Struct Mol. Biol. 17, 909-915. https://doi.org/10.1038/nsmb.1838
- Kozomara, A., and Griffiths-Jones, S. (2014). miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Res. 42, D68-73. https://doi.org/10.1093/nar/gkt1181
- Krek, A., Grun, D., Poy, M.N., Wolf, R., Rosenberg, L., Epstein, E.J., MacMenamin, P., da Piedade, I., Gunsalus, K.C., Stoffel, M., et al. (2005). Combinatorial microRNA target predictions. Nat. Genet. 37, 495-500. https://doi.org/10.1038/ng1536
- Lal, A., Navarro, F., Maher, C.A., Maliszewski, L.E., Yan, N., O'Day, E., Chowdhury, D., Dykxhoorn, D.M., Tsai, P., Hofmann, O., et al. (2009). miR-24 Inhibits cell proliferation by targeting E2F2, MYC, and other cell-cycle genes via binding to "seedless" 3'UTR microRNA recognition elements. Mol. Cell 35, 610-625. https://doi.org/10.1016/j.molcel.2009.08.020
- Lee, R.C., Feinbaum, R.L., and Ambros, V. (1993). The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 75, 843-854. https://doi.org/10.1016/0092-8674(93)90529-Y
- Lee, H.S., Seok, H., Lee, D.H., Ham, J., Lee, W., Youm, E.M., Yoo, J.S., Lee, Y.S., Jang, E.S., and Chi, S.W. (2015). Abasic pivot substitution harnesses target specificity of RNA interference. Nat. Commun. 6, 10154. https://doi.org/10.1038/ncomms10154
- Leung, A.K., Young, A.G., Bhutkar, A., Zheng, G.X., Bosson, A.D., Nielsen, C.B., and Sharp, P.A. (2011). Genome-wide identification of Ago2 binding sites from mouse embryonic stem cells with and without mature microRNAs. Nat. Struct Mol. Biol. 18, 237-244. https://doi.org/10.1038/nsmb.1991
- Lewis, B.P., Shih, I.H., Jones-Rhoades, M.W., Bartel, D.P., and Burge, C.B. (2003). Prediction of mammalian microRNA targets. Cell 115, 787-798. https://doi.org/10.1016/S0092-8674(03)01018-3
- Lewis, B.P., Burge, C.B., and Bartel, D.P. (2005). Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 120, 15-20. https://doi.org/10.1016/j.cell.2004.12.035
- Licatalosi, D.D. (2008). HITS-CLIP yields genome-wide insights into brain alternative RNA processing. Nature 456, 464-469. https://doi.org/10.1038/nature07488
- Lim, L.P. (2005). Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature 433, 769-773. https://doi.org/10.1038/nature03315
- Liu, J., Carmell, M.A., Rivas, F.V., Marsden, C.G., Thomson, J.M., Song, J.J., Hammond, S.M., Joshua-Tor, L., and Hannon, G.J. (2004). Argonaute2 is the catalytic engine of mammalian RNAi. Science 305, 1437-1441. https://doi.org/10.1126/science.1102513
- Loeb, G.B., Khan, A.A., Canner, D., Hiatt, J.B., Shendure, J., Darnell, R.B., Leslie, C.S., and Rudensky, A.Y. (2012). Transcriptome-wide miR-155 binding map reveals widespread noncanonical microRNA targeting. Mol. Cell 48, 760-770. https://doi.org/10.1016/j.molcel.2012.10.002
- Long, D., Lee, R., Williams, P., Chan, C.Y., Ambros, V., and Ding, Y. (2007). Potent effect of target structure on microRNA function. Nat. Struct Mol. Biol. 14, 287-294. https://doi.org/10.1038/nsmb1226
- Mili, S., and Steitz, J.A. (2004). Evidence for reassociation of RNAbinding proteins after cell lysis: implications for the interpretation of immunoprecipitation analyses. RNA 10, 1692-1694. https://doi.org/10.1261/rna.7151404
- Moore, M.J., Scheel, T.K., Luna, J.M., Park, C.Y., Fak, J.J., Nishiuchi, E., Rice, C.M., and Darnell, R.B. (2015). miRNA-target chimeras reveal miRNA 3'-end pairing as a major determinant of Argonaute target specificity. Nat. Commun. 6, 8864. https://doi.org/10.1038/ncomms9864
- Mourelatos, Z. (2008). Small RNAs: the seeds of silence. Nature 455, 44-45. https://doi.org/10.1038/455044a
- Nakanishi, K., Weinberg, D.E., Bartel, D.P., and Patel, D.J. (2012). Structure of yeast Argonaute with guide RNA. Nature 486, 368-374. https://doi.org/10.1038/nature11211
- Olson, E.N. (2014). MicroRNAs as therapeutic targets and biomarkers of cardiovascular disease. Sci. Translational Med. 6, 239ps233.
- Park, C.Y., Choi, Y.S., and McManus, M.T. (2010). Analysis of microRNA knockouts in mice. Hum. Mol. Genet. 19, R169-175. https://doi.org/10.1093/hmg/ddq367
- Poy, M.N., Eliasson, L., Krutzfeldt, J., Kuwajima, S., Ma, X., Macdonald, P.E., Pfeffer, S., Tuschl, T., Rajewsky, N., Rorsman, P., et al. (2004). A pancreatic islet-specific microRNA regulates insulin secretion. Nature 432, 226-230. https://doi.org/10.1038/nature03076
- Rajewsky, N. (2006). MicroRNA target predictions in animals. Nat. Genet. 38, S8-S13. https://doi.org/10.1038/ng1798
- Riley, K.J., Rabinowitz, G.S., Yario, T.A., Luna, J.M., Darnell, R.B., and Steitz, J.A. (2012a). EBV and human microRNAs co-target oncogenic and apoptotic viral and human genes during latency. EMBO J. 31, 2207-2221. https://doi.org/10.1038/emboj.2012.63
- Riley, K.J., Yario, T.A., and Steitz, J.A. (2012b). Association of Argonaute proteins and microRNAs can occur after cell lysis. RNA 18, 1581-1585. https://doi.org/10.1261/rna.034934.112
- Salomon, W.E., Jolly, S.M., Moore, M.J., Zamore, P.D., and Serebrov, V. (2015). Single-molecule imaging reveals that argonaute reshapes the binding properties of its nucleic acid guides. Cell 162, 84-95. https://doi.org/10.1016/j.cell.2015.06.029
- Schirle, N.T., and MacRae, I.J. (2012). The crystal structure of human Argonaute2. Science 336, 1037-1040. https://doi.org/10.1126/science.1221551
- Schirle, N.T., Sheu-Gruttadauria, J., and MacRae, I.J. (2014). Structural basis for microRNA targeting. Science 346, 608-613. https://doi.org/10.1126/science.1258040
- Selbach, M., Schwanhausser, B., Thierfelder, N., Fang, Z., Khanin, R., and Rajewsky, N. (2008). Widespread changes in protein synthesis induced by microRNAs. Nature 455, 58-63. https://doi.org/10.1038/nature07228
- Seok, H., Jang, E.S., and Chi, S.W. (2016). Rationally designed siRNAs without miRNA-like off-target repression. BMB Rep. 49, 135-136. https://doi.org/10.5483/BMBRep.2016.49.3.019
- Shin, C., Nam, J.W., Farh, K.K., Chiang, H.R., Shkumatava, A., and Bartel, D.P. (2010). Expanding the microRNA targeting code: functional sites with centered pairing. Mol. Cell 38, 789-802. https://doi.org/10.1016/j.molcel.2010.06.005
- Sim, S.E., Bakes, J., and Kaang, B.K. (2014). Neuronal activitydependent regulation of microRNAs. Mol. Cells 37, 511-517. https://doi.org/10.14348/molcells.2014.0132
- Stark, A., Brennecke, J., Russell, R.B., and Cohen, S.M. (2003). Identification of Drosophila microRNA targets. PLoS Biol. 1, E60. https://doi.org/10.1371/journal.pbio.0000060
- Stefani, G., and Slack, F.J. (2012). A 'pivotal' new rule for microRNA-mRNA interactions. Nat. Struct Mol. Biol. 19, 265-266. https://doi.org/10.1038/nsmb.2256
- Tay, Y., Zhang, J., Thomson, A.M., Lim, B., and Rigoutsos, I. (2008). MicroRNAs to Nanog, Oct4 and Sox2 coding regions modulate embryonic stem cell differentiation. Nature 455, 1124-1128. https://doi.org/10.1038/nature07299
- Tomari, Y., and Zamore, P.D. (2005). Perspective: machines for RNAi. Genes Dev. 19, 517-529. https://doi.org/10.1101/gad.1284105
- Ule, J. (2003). CLIP identifies Nova-regulated RNA networks in the brain. Science 302, 1212-1215. https://doi.org/10.1126/science.1090095
- Vella, M.C., Choi, E.Y., Lin, S.Y., Reinert, K., and Slack, F.J. (2004). The C. elegans microRNA let-7 binds to imperfect let-7 complementary sites from the lin-41 3[prime]UTR. Genes Dev. 18, 132-137. https://doi.org/10.1101/gad.1165404
- Wang, Y., Juranek, S., Li, H., Sheng, G., Wardle, G.S., Tuschl, T., and Patel, D.J. (2009). Nucleation, propagation and cleavage of target RNAs in Ago silencing complexes. Nature 461, 754-761. https://doi.org/10.1038/nature08434
- Wee, L.M., Flores-Jasso, C.F., Salomon, W.E., and Zamore, P.D. (2012). Argonaute divides its RNA guide into domains with distinct functions and RNA-binding properties. Cell 151, 1055-1067. https://doi.org/10.1016/j.cell.2012.10.036
- Wightman, B., Ha, I., and Ruvkun, G. (1993). Posttranscriptional regulation of the heterochronic gene lin-14 by lin-4 mediates temporal pattern formation in C. elegans. Cell 75, 855-862. https://doi.org/10.1016/0092-8674(93)90530-4
- Xie, X., Lu, J., Kulbokas, E.J., Golub, T.R., Mootha, V., Lindblad-Toh, K., Lander, E.S., and Kellis, M. (2005). Systematic discovery of regulatory motifs in human promoters and 3' UTRs by comparison of several mammals. Nature 434, 338-345. https://doi.org/10.1038/nature03441
- Xue, Y., Ouyang, K., Huang, J., Zhou, Y., Ouyang, H., Li, H., Wang, G., Wu, Q., Wei, C., Bi, Y., et al. (2013). Direct conversion of fibroblasts to neurons by reprogramming PTB-regulated microRNA circuits. Cell 152, 82-96. https://doi.org/10.1016/j.cell.2012.11.045
- Yao, C., Sasaki, H.M., Ueda, T., Tomari, Y., and Tadakuma, H. (2015). Single-molecule analysis of the target cleavage reaction by the Drosophila RNAi enzyme complex. Mol. Cell 59, 125-132. https://doi.org/10.1016/j.molcel.2015.05.015
- Yekta, S., Shih, I.H., and Bartel, D.P. (2004). MicroRNA-directed cleavage of HOXB8 mRNA. Science 304, 594-596. https://doi.org/10.1126/science.1097434
- Zhang, C., and Darnell, R.B. (2011). Mapping in vivo protein-RNA interactions at single-nucleotide resolution from HITS-CLIP data. Nat. Biotechnol. 29, 607-614. https://doi.org/10.1038/nbt.1873
- Zisoulis, D.G., Lovci, M.T., Wilbert, M.L., Hutt, K.R., Liang, T.Y., Pasquinelli, A.E., and Yeo, G.W. (2010). Comprehensive discovery of endogenous Argonaute binding sites in Caenorhabditis elegans. Nat. Struct Mol. Biol. 17, 173-179. https://doi.org/10.1038/nsmb.1745
피인용 문헌
- Naturally existing isoforms of miR-222 have distinct functions 2017, https://doi.org/10.1093/nar/gkx788
- Coordinated Actions of MicroRNAs with other Epigenetic Factors Regulate Skeletal Muscle Development and Adaptation vol.18, pp.4, 2017, https://doi.org/10.3390/ijms18040840
- MiR-346 promotes the biological function of breast cancer cells by targeting SRCIN1 and reduces chemosensitivity to docetaxel vol.600, 2017, https://doi.org/10.1016/j.gene.2016.11.037
- Evaluation and control of miRNA-like off-target repression for RNA interference 2018, https://doi.org/10.1007/s00018-017-2656-0
- MicroRNA-142 controls thymocyte proliferation vol.47, pp.7, 2017, https://doi.org/10.1002/eji.201746987
- Circulating miRNAs from blood, plasma or serum as promising clinical biomarkers in oral squamous cell carcinoma: A systematic review of current findings vol.63, 2016, https://doi.org/10.1016/j.oraloncology.2016.11.001
- The role of microRNAs inAnophelesbiology-an emerging research field vol.39, pp.2, 2017, https://doi.org/10.1111/pim.12405
- Noncoding RNAs in the Vascular System Response to Oxidative Stress 2019, https://doi.org/10.1089/ars.2017.7229
- Transcriptome-wide microRNA and target dynamics in the fat body during the gonadotrophic cycle ofAedes aegypti vol.114, pp.10, 2017, https://doi.org/10.1073/pnas.1701474114
- Association between polymorphisms in microRNA target sites and survival in early-stage non-small cell lung cancer 2017, https://doi.org/10.1111/1759-7714.12478
- MicroRNA in Control of Gene Expression: An Overview of Nuclear Functions vol.17, pp.10, 2016, https://doi.org/10.3390/ijms17101712
- Epstein-Barr viral microRNAs target caspase 3 vol.13, pp.1, 2016, https://doi.org/10.1186/s12985-016-0602-7
- MiR-1254 suppresses HO-1 expression through seed region-dependent silencing and non-seed interaction with TFAP2A transcript to attenuate NSCLC growth vol.13, pp.7, 2017, https://doi.org/10.1371/journal.pgen.1006896
- miRNAsong: a web-based tool for generation and testing of miRNA sponge constructs in silico vol.6, pp.1, 2016, https://doi.org/10.1038/srep36625
- MicroRNAs Modulate Oxidative Stress in Hypertension through PARP-1 Regulation vol.2017, 2017, https://doi.org/10.1155/2017/3984280
- Fine-Tuning of Gene Expression by tRNA-Derived Fragments during Abiotic Stress Signal Transduction vol.19, pp.2, 2018, https://doi.org/10.3390/ijms19020518
- MicroRNAs from plants to animals, do they define a new messenger for communication? vol.15, pp.1, 2018, https://doi.org/10.1186/s12986-018-0305-8
- miRAW: A deep learning-based approach to predict microRNA targets by analyzing whole microRNA transcripts vol.14, pp.7, 2018, https://doi.org/10.1371/journal.pcbi.1006185
- Regulatory network of miRNA on its target: coordination between transcriptional and post-transcriptional regulation of gene expression pp.1420-9071, 2019, https://doi.org/10.1007/s00018-018-2940-7
- Re-expression of microRNA-4319 inhibits growth of prostate cancer via Her-2 suppression vol.20, pp.11, 2018, https://doi.org/10.1007/s12094-018-1871-y
- Ginsenoside Rh2 inhibits prostate cancer cell growth through suppression of microRNA-4295 that activates CDKN1A vol.51, pp.3, 2018, https://doi.org/10.1111/cpr.12438
- hsa-miR-29c-3p regulates biological function of colorectal cancer by targeting SPARC vol.8, pp.61, 2016, https://doi.org/10.18632/oncotarget.22356
- A novel mechanism of lncRNA and miRNA interaction: CCAT2 regulates miR-145 expression by suppressing its maturation process in colon cancer cells vol.16, pp.1, 2017, https://doi.org/10.1186/s12943-017-0725-5
- CLIPick: a sensitive peak caller for expression-based deconvolution of HITS-CLIP signals vol.46, pp.21, 2016, https://doi.org/10.1093/nar/gky917
- siAbasic: a comprehensive database for potent siRNA-6Ø sequences without off-target effects vol.2018, pp.None, 2016, https://doi.org/10.1093/database/bay109
- MicroRNA-142-3p is involved in regulation of MGMT expression in glioblastoma cells vol.10, pp.None, 2016, https://doi.org/10.2147/cmar.s157261
- Post-Transcriptional Control of Tropoelastin in Aortic Smooth Muscle Cells Affects Aortic Dissection Onset vol.41, pp.3, 2018, https://doi.org/10.14348/molcells.2018.2193
- How RNAi machinery enters the world of telomerase vol.18, pp.10, 2016, https://doi.org/10.1080/15384101.2019.1609834
- Bioinformatic analysis of miR-4792 regulates Radix Tetrastigma hemsleyani flavone to inhibit proliferation, invasion, and induce apoptosis of A549 cells vol.12, pp.None, 2016, https://doi.org/10.2147/ott.s182525
- Modulation of Bacterial sRNAs Activity by Epigenetic Modifications: Inputs from the Eukaryotic miRNAs vol.10, pp.1, 2019, https://doi.org/10.3390/genes10010022
- Upregulation of miR-214 Induced Radioresistance of Osteosarcoma by Targeting PHLDA2 via PI3K/Akt Signaling vol.9, pp.None, 2016, https://doi.org/10.3389/fonc.2019.00298
- Genetical modification on adipose-derived stem cells facilitates facial nerve regeneration vol.11, pp.3, 2016, https://doi.org/10.18632/aging.101790
- Exosomes, metastases, and the miracle of cancer stem cell markers vol.38, pp.1, 2016, https://doi.org/10.1007/s10555-019-09793-6
- Systematic evaluation of the microRNAome through miR-CATCHv2.0 identifies positive and negative regulators of BRAF-X1 mRNA vol.16, pp.7, 2016, https://doi.org/10.1080/15476286.2019.1600934
- Current experimental strategies for intracellular target identification of microRNA vol.1, pp.1, 2016, https://doi.org/10.1186/s41544-018-0002-9
- Upregulation of miR-29b-3p protects cardiomyocytes from hypoxia-induced apoptosis by targeting TRAF5 vol.24, pp.1, 2019, https://doi.org/10.1186/s11658-019-0151-3
- Long non-coding RNA UCA1 exerts growth modulation by miR-15a in human thyroid cancer TPC-1 cells vol.47, pp.1, 2016, https://doi.org/10.1080/21691401.2019.1606007
- A cell-based probabilistic approach unveils the concerted action of miRNAs vol.15, pp.12, 2016, https://doi.org/10.1371/journal.pcbi.1007204
- microRNAs Biogenesis, Functions and Role in Tumor Angiogenesis vol.10, pp.None, 2020, https://doi.org/10.3389/fonc.2020.581007
- The Role of MicroRNAs in Lung Cancer: Implications for Diagnosis and Therapy vol.20, pp.2, 2016, https://doi.org/10.2174/1566524019666191001113511
- miR‐188‐5p suppresses cellular proliferation and migration via IL6ST: A potential noninvasive diagnostic biomarker for breast cancer vol.235, pp.5, 2020, https://doi.org/10.1002/jcp.29367
- Hydrostatic pressure induces osteogenic differentiation of adipose-derived mesenchymal stem cells through increasing lncRNA-PAGBC vol.12, pp.13, 2020, https://doi.org/10.18632/aging.103448
- Position-specific oxidation of miR-1 encodes cardiac hypertrophy vol.584, pp.7820, 2020, https://doi.org/10.1038/s41586-020-2586-0
- miR-421 promotes the viability of A549 lung cancer cells by targeting forkhead box O1 vol.20, pp.6, 2020, https://doi.org/10.3892/ol.2020.12169
- 6′-O-galloylpaeoniflorin regulates proliferation and metastasis of non-small cell lung cancer through AMPK/miR-299-5p/ATF2 axis vol.21, pp.1, 2016, https://doi.org/10.1186/s12931-020-1277-6
- TRPM2-AS Promotes Bladder Cancer by Targeting miR-22-3p and Regulating GINS2 mRNA Expression vol.14, pp.None, 2016, https://doi.org/10.2147/ott.s282151
- MicroRNA expression profile and identification of novel microRNA biomarkers for metabolic syndrome vol.12, pp.1, 2021, https://doi.org/10.1080/21655979.2021.1952817
- Construction and Analysis of Survival-Associated Competing Endogenous RNA Network in Lung Adenocarcinoma vol.2021, pp.None, 2016, https://doi.org/10.1155/2021/4093426
- Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists vol.19, pp.None, 2016, https://doi.org/10.1016/j.csbj.2021.10.025
- AGO-accessible anticancer siRNAs designed with synergistic miRNA-like activity vol.23, pp.None, 2016, https://doi.org/10.1016/j.omtn.2021.01.018
- The Importance of Epigenetics in Diagnostics and Treatment of Major Depressive Disorder vol.11, pp.3, 2016, https://doi.org/10.3390/jpm11030167
- Role of microRNAs in oncogenesis: Insights from computational and systems‐level modeling approaches vol.1, pp.2, 2016, https://doi.org/10.1002/cso2.1028
- Mechanical overload‐induced muscle‐derived extracellular vesicles promote adipose tissue lipolysis vol.35, pp.6, 2016, https://doi.org/10.1096/fj.202100242r
- Eating microRNAs: pharmacological opportunities for cross‐kingdom regulation and implications in host gene and gut microbiota modulation vol.178, pp.11, 2021, https://doi.org/10.1111/bph.15421
- MicroRNAs’ role in the environment-related non-communicable diseases and link to multidrug resistance, regulation, or alteration vol.28, pp.28, 2016, https://doi.org/10.1007/s11356-021-14550-w
- MicroRNAs and Stem-like Properties: The Complex Regulation Underlying Stemness Maintenance and Cancer Development vol.11, pp.8, 2016, https://doi.org/10.3390/biom11081074
- Human TYRP1: Two functions for a single gene? vol.34, pp.5, 2016, https://doi.org/10.1111/pcmr.12951
- MicroRNA regulation of vascular smooth muscle cells and its significance in cardiovascular diseases vol.99, pp.9, 2016, https://doi.org/10.1139/cjpp-2020-0581
- Functional analysis of a putative Bombyx mori cypovirus miRNA BmCPV‐miR‐10 and its effect on virus replication vol.30, pp.6, 2021, https://doi.org/10.1111/imb.12725
- Crosstalk between codon optimality and cis -regulatory elements dictates mRNA stability vol.22, pp.1, 2016, https://doi.org/10.1186/s13059-020-02251-5
- Overexpression of an Osa-miR162a Derivative in Rice Confers Cross-Kingdom RNA Interference-Mediated Brown Planthopper Resistance without Perturbing Host Development vol.22, pp.23, 2016, https://doi.org/10.3390/ijms222312652