Literatura académica sobre el tema "Microrna targets"
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Artículos de revistas sobre el tema "Microrna targets"
Baxter, Diana E., Lisa M. Allinson, Waleed S. Al Amri, James A. Poulter, Arindam Pramanik, James L. Thorne, Eldo T. Verghese y Thomas A. Hughes. "MiR-195 and Its Target SEMA6D Regulate Chemoresponse in Breast Cancer". Cancers 13, n.º 23 (28 de noviembre de 2021): 5979. http://dx.doi.org/10.3390/cancers13235979.
Texto completoHuang, Tinghua, Xiali Huang y Min Yao. "Min3: Predict microRNA target gene using an improved binding-site representation method and support vector machine". Journal of Bioinformatics and Computational Biology 17, n.º 05 (octubre de 2019): 1950032. http://dx.doi.org/10.1142/s021972001950032x.
Texto completoArora, Amit. "MicroRNA targets". Pharmacogenetics and Genomics 25, n.º 3 (marzo de 2015): 107–25. http://dx.doi.org/10.1097/fpc.0000000000000111.
Texto completoTorkey, Hanaa, Lenwood S. Heath y Mahmoud ElHefnawi. "MicroTarget: MicroRNA target gene prediction approach with application to breast cancer". Journal of Bioinformatics and Computational Biology 15, n.º 04 (agosto de 2017): 1750013. http://dx.doi.org/10.1142/s0219720017500135.
Texto completoSmoczynska, Aleksandra, Andrzej M. Pacak, Przemysław Nuc, Aleksandra Swida-Barteczka, Katarzyna Kruszka, Wojciech M. Karlowski, Artur Jarmolowski y Zofia Szweykowska-Kulinska. "A Functional Network of Novel Barley MicroRNAs and Their Targets in Response to Drought". Genes 11, n.º 5 (29 de abril de 2020): 488. http://dx.doi.org/10.3390/genes11050488.
Texto completoMa, Xiao, Dan Li, Yan Gao y Cheng Liu. "miR-451a Inhibits the Growth and Invasion of Osteosarcoma via Targeting TRIM66". Technology in Cancer Research & Treatment 18 (1 de enero de 2019): 153303381987020. http://dx.doi.org/10.1177/1533033819870209.
Texto completoChu, W. H., L. Harland, P. Grant, M. De Blasio, W. Kong, S. Moretta, J. S. Robinson, M. E. Dziadek y J. A. Owens. "163. MATERNAL FOLIC ACID SUPPLEMENTATION INDUCED ALTERATIONS IN METABOLIC HEALTH OF PROGENY: ROLE OF microRNA REGULATORY NETWORKS". Reproduction, Fertility and Development 21, n.º 9 (2009): 81. http://dx.doi.org/10.1071/srb09abs163.
Texto completoJohn, Bino, Anton J. Enright, Alexei Aravin, Thomas Tuschl, Chris Sander y Debora S. Marks. "Human MicroRNA Targets". PLoS Biology 2, n.º 11 (5 de octubre de 2004): e363. http://dx.doi.org/10.1371/journal.pbio.0020363.
Texto completoDa Costa Martins, Paula A. y Leon J. De Windt. "Targeting MicroRNA Targets". Circulation Research 111, n.º 5 (17 de agosto de 2012): 506–8. http://dx.doi.org/10.1161/circresaha.112.276717.
Texto completoSeitz, Hervé. "Redefining MicroRNA Targets". Current Biology 19, n.º 10 (mayo de 2009): 870–73. http://dx.doi.org/10.1016/j.cub.2009.03.059.
Texto completoTesis sobre el tema "Microrna targets"
Sætrom, Ola. "Predicting MicroRNA targets". Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9266.
Texto completoMicroRNAs are a large family of short non-encoding RNAs that regulated protein production by binding to mRNAs. A single miRNA can regulate an mRNA by itself, or several miRNAs can cooperate in regulating the mRNAs. This is all dependent on the degree of complementarity between the miRNA and the target mRNA. Here, we present the program TargetBoost that, using a classifier generated by a combination of hardware accelerated genetic programming and boosting, allows for screening several large dataset against several miRNAs, and computes a likelihood of that genes in the dataset is regulated by the set of miRNAs used in the screening. We also present results from comparison of several different scoring functions for measuring cooperative effects. We found that the classifier used in TargetBoost is best for finding target sites that regulate mRNAs by themselves. A demo of TargetBoost can be found on http://www.interagon.com/demo.
Migliore, Chiara Maria. "RNA-sequencing based identification of microRNA-204 targets". Doctoral thesis, Università degli studi di Trieste, 2011. http://hdl.handle.net/10077/4595.
Texto completoWith the completion of the sequencing and annotation of hundreds of genomes, and the accumulation of data on the mammalian transcriptome, greater emphasis has been placed on elucidating the function of non-coding DNA and RNA sequences. It is well known that the non-coding portion of the genome can transcribe functional RNAs. Several categories of non-coding RNAs (ncRNAs) have been defined, such as transport RNAs (tRNAs) ribosomal RNAs (rRNAs), small nuclear RNAs (snRNAs) and small nucleolar RNAs (snoRNAs). A larger group of ncRNAs comprises the so-called microRNAs (miRNAs) and long non-coding RNAs serving key regulatory roles. It has been shown that miRNAs directly target a large number of genes, thus affecting significantly major pathways. In my project, I focused on miR-204, a microRNA that is highly conserved from zebrafish to human and located in the sixth intron of the human TRPM3 gene. I sought to identify mir-204 targets by using the Medaka fish (Oryzias latipes), where mir-204 is expressed at very low levels in the nervous system, as a model for perturbation of the mir-204 network. Transient transgenic Medaka fish were produced to knock down and over-express mir-204. Next-generation sequencing was used to sequence the Medaka transcriptome, dissect the putative targets of miR-204, and thus gain further insight about its function. Potential target genes of mir-204 were selected by choosing genes, which presented lower expression in the wild-type (wt) fish than in the knock down, a lower expression in the over-expression than in the wt and, finally, a higher expression in the knock down than in the over-expression. At the same time, I collected a list of putative miR-204 mouse and human targets using the prediction softwares miRanda, PicTar and TargetScan, obtained the Medaka orthologues and verified that the selected genes in Medaka had a statistically significant enrichment in miR-204 targets as compared to the complete set of genes obtained from the RNA-Sequencing approach. The combined RNA-Sequencing and bioinformatics analysis revealed 147 predicted targets of mir-204, which showed a significant enrichment for the axon guidance pathway. In order to confirm this data, real time quantitative PCR has been performed on total RNA from wt and morphant fish. Results showed a higher expression in the knock down fish for 15 out of 25 putative targets (Neo1, Trim71, Ddx3y, Prkar1a, MyoX, Sema3B, Sema3F, Ptprg, Slit2, Epha4, Epha7, Amot, Lpp, Odz4, Jarid2). I further validated these genes by both Q-PCR and luciferase assays. To this aim, I cloned five putative target sequences into the 3’UTR of a luciferase reporter vector (pGL3-TK-luc Promega) to use them in luciferase assays: co-transfection with miR-204 reduced the luciferase activity of Sema3F, belonging to the class of receptors involved upstream of the axon guidance pathway. These results indicate that mir-204 directly targets key genes involved in the axon guidance pathway such as Sema3F in the nervous system. Further validation of the disruption of axon guidance in the transgenic fish has been undertaken in vivo by our collaborators: the experiment demonstrated a clear role of this microRNA in axon path finding during retinal development.
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Wang, Qi. "Using Imputed Microrna Regulation Based on Weighted Ranked Expression and Putative Microrna Targets and Analysis of Variance to Select Micrornas for Predicting Prostate Cancer Recurrence". Thesis, North Dakota State University, 2014. https://hdl.handle.net/10365/27341.
Texto completoDavis, M. P. "Generation of a murine ES cell system deficient in microRNA processing for the identification of microRNA targets". Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598389.
Texto completoTorkey, Hanaa A. "Machine Learning Approaches for Identifying microRNA Targets and Conserved Protein Complexes". Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/77536.
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Woodcock, M. Ryan. "Network Analysis and Comparative Phylogenomics of MicroRNAs and their Respective Messenger RNA Targets Using Twelve Drosophila species". VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/155.
Texto completoBudd, William. "Development and Implementation of a Tissue Specific MicroRNA Prediction Tool for Identifying Targets of the Tumor Suppressor microRNA 17-3p". VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/2116.
Texto completoJoo, Lauren Jin Suk. "RET-regulated microRNAs as Recurrence Biomarkers and Therapeutic Targets in Medullary Thyroid Carcinoma". Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/19945.
Texto completoRose, Jarod. "An Investigation and Visualization of MicroRNA Targets and Gene Expressions and Their Use in Classifying Cancer Samples". University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1302303717.
Texto completoYoussef, Ninwa. "Analysis of conserved microRNA targets in the nematode Caenorhabditis elegans and the fruit fly Drosophila melanogaster". Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-19211.
Texto completoLibros sobre el tema "Microrna targets"
Laganà, Alessandro, ed. MicroRNA Target Identification. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9207-2.
Texto completoSarkar, Fazlul H., ed. MicroRNA Targeted Cancer Therapy. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05134-5.
Texto completoDalmay, Tamas, ed. MicroRNA Detection and Target Identification. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6866-4.
Texto completoDalmay, Tamas, ed. MicroRNA Detection and Target Identification. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2982-6.
Texto completoSlabý, Ondřej. MicroRNAs in solid cancer: From biomarkers to therapeutic targets. Hauppauge, N.Y: Nova Science, 2011.
Buscar texto completoSarkar, Fazlul H. MicroRNA Targeted Cancer Therapy. Springer, 2016.
Buscar texto completoSarkar, Fazlul H. MicroRNA Targeted Cancer Therapy. Springer, 2014.
Buscar texto completoSarkar, Fazlul H. MicroRNA Targeted Cancer Therapy. Springer London, Limited, 2014.
Buscar texto completoLaganà, Alessandro. MicroRNA Target Identification: Methods and Protocols. Springer New York, 2019.
Buscar texto completoDalmay, Tamas. MicroRNA Detection and Target Identification: Methods and Protocols. Springer, 2023.
Buscar texto completoCapítulos de libros sobre el tema "Microrna targets"
Deng, Jia Han, Qinggao Deng, Chih-Hao Kuo, Sean W. Delaney y Shao-Yao Ying. "MiRNA Targets of Prostate Cancer". En MicroRNA Protocols, 357–69. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-083-0_27.
Texto completoXu, Jianzhen y Chi-Wai Wong. "Enrichment Analysis of miRNA Targets". En MicroRNA Protocols, 91–103. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-083-0_8.
Texto completoLaganà, Alessandro. "Computational Prediction of microRNA Targets". En microRNA: Basic Science, 231–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22380-3_12.
Texto completoFujii, Yoichi Robertus. "Quantum Language of MicroRNA: Application for New Cancer Therapeutic Targets". En MicroRNA Protocols, 145–57. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7601-0_12.
Texto completoChen, Shu-Jen y Hua-Chien Chen. "Analysis of Targets and Functions Coregulated by MicroRNAs". En MicroRNA and Cancer, 225–41. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-863-8_16.
Texto completoTomasello, Luisa, Landon Cluts y Carlo M. Croce. "Experimental Validation of MicroRNA Targets: Analysis of MicroRNA Targets Through Western Blotting". En Methods in Molecular Biology, 341–53. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9207-2_19.
Texto completoBeitzinger, Michaela y Gunter Meister. "Experimental Identification of MicroRNA Targets". En Handbook of RNA Biochemistry, 1087–96. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527647064.ch49.
Texto completoWang, Xiaowei. "Computational Prediction of MicroRNA Targets". En Methods in Molecular Biology, 283–95. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-811-9_19.
Texto completoNachtigall, Pedro Gabriel y Luiz Augusto Bovolenta. "Computational Detection of MicroRNA Targets". En Methods in Molecular Biology, 187–209. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1170-8_10.
Texto completoRamelli, Sabrina C. y William T. Gerthoffer. "MicroRNA Targets for Asthma Therapy". En Advances in Experimental Medicine and Biology, 89–105. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63046-1_6.
Texto completoActas de conferencias sobre el tema "Microrna targets"
Le, Wei, Weihua Wang, Markus Gutsche, Mueen Ghani, Debra Tsai, Kevin Liu y Daya Upadhyay. "Microrna Targets Of EGFR Regulation In Lung Cancer". En American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a5072.
Texto completoCrouser, Elliott D., Mark Julian, Guohong Shao, Melissa Crawford, Daniel A. Culver y Patrick Nana-Sinkam. "MicroRNA Targets The Neopterin Pathway In Pulmonary Sarcoidosis". En American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a2270.
Texto completoHUANG, J. C., B. J. FREY y Q. D. MORRIS. "COMPARING SEQUENCE AND EXPRESSION FOR PREDICTING microRNA TARGETS USING GenMiR3". En Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812776136_0007.
Texto completoSu, Naifang, Yufu Wang, Minping Qian y Minghua Deng. "Predicting MicroRNA targets by integrating sequence and expression data in cancer". En 2011 IEEE International Conference on Systems Biology (ISB). IEEE, 2011. http://dx.doi.org/10.1109/isb.2011.6033158.
Texto completoGill, Mandeep, Bruna Sugita, Silma R. Pereira, Catalin Marian, Xi Li, Yuriy Gusev, Enilze MSF Ribeiro, Iglenir J. Cavalli y Luciane R. Cavalli. "Abstract 1545: Identification of microRNA targets in triple-negative breast cancer". En Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-1545.
Texto completoRamalinga, Malathi, Anvesha Srivastava, Alexander Dimtchev, Offie Soldin, James Li, Catalin Marian, Simeng Suy, Sean P. Collins y Deepak Kumar. "Abstract 5028: MicroRNA-212 targets multiple signaling pathways in prostate cancer". En Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-5028.
Texto completoParanjape, TS, SV Nallur, K. Keanie, M. Martel, BG Haffty, DP Tuck, F. Slack y JB Weidhaas. "MicroRNA profiling of triple negative breast cancer: predicting outcome and targets." En CTRC-AACR San Antonio Breast Cancer Symposium: 2008 Abstracts. American Association for Cancer Research, 2009. http://dx.doi.org/10.1158/0008-5472.sabcs-2040.
Texto completoGoel, K., N. Egersdorf, D. Cao, S. M. Majka, H. Karmouty-Quintana y I. Petrache. "MicroRNA-126 Signaling and Targets in COPD and COPD-Pulmonary Hypertension". En American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA. American Thoracic Society, 2022. http://dx.doi.org/10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a5430.
Texto completoKnobloch, Thomas J., Zhaoxia Zhang, Gary D. Stoner, Electra D. Paskett, David E. Cohn, Jeffrey M. Fowler y Christopher M. Weghorst. "Abstract A77: Lyophilized black raspberries modulate microRNA targets inhuman cervical cancer cells". En Abstracts: AACR International Conference on Frontiers in Cancer Prevention Research‐‐ Dec 6–9, 2009; Houston, TX. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1940-6207.prev-09-a77.
Texto completoDieujuste, Bachelard, Michelle Naidoo y Olorunseun Ogunwobi. "Abstract 2364: MicroRNA-1205 directly targets ONECUT2 in neuroendocrine prostate cancer cells". En Proceedings: AACR Annual Meeting 2021; April 10-15, 2021 and May 17-21, 2021; Philadelphia, PA. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.am2021-2364.
Texto completoInformes sobre el tema "Microrna targets"
Shukla, Girish C. MicroRNA Targets of Human Androgen Receptor. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2013. http://dx.doi.org/10.21236/ada589690.
Texto completoSun, Lina, Yanan Han, Hua Wang, Huanyu Liu, Shan Liu, Hongbin Yang, Xiaoxia Ren y Ying Fang. MicroRNAs as Potential Biomarkers for the Diagnosis of Inflammatory Bowel Disease: A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, febrero de 2022. http://dx.doi.org/10.37766/inplasy2022.2.0027.
Texto completoGreen, Jeffrey E. y Kristin K. Deeb. Cross Species Identification and Functional Analysis of MicroRNAs in Mammary Tumorigenesis: Potential Targets for Detection, Diagnosis and Therapy. Fort Belvoir, VA: Defense Technical Information Center, julio de 2007. http://dx.doi.org/10.21236/ada473885.
Texto completoEshed, Yuval y Sarah Hake. Shaping plant architecture by age dependent programs: implications for food, feed and biofuel. United States Department of Agriculture, diciembre de 2012. http://dx.doi.org/10.32747/2012.7597922.bard.
Texto completoLers, Amnon y Pamela J. Green. Analysis of Small RNAs Associated with Plant Senescence. United States Department of Agriculture, marzo de 2013. http://dx.doi.org/10.32747/2013.7593393.bard.
Texto completoZhao, Hua. Identification and Functional Characterization of Somatic Mutations in Human MicroRNAs and their Responsive Elements in Target Genes in Ovarian Tumor Tissues. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2009. http://dx.doi.org/10.21236/ada508403.
Texto completoBurks, Thomas F., Victor Alchanatis y Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, octubre de 2009. http://dx.doi.org/10.32747/2009.7591739.bard.
Texto completoSanchez, J. Conceptual Design of Low Pressure, 300 degree K Fill System for Ignition Target Capsules with Micron Size Fill Tubes. Office of Scientific and Technical Information (OSTI), septiembre de 2003. http://dx.doi.org/10.2172/15006531.
Texto completoWhitham, Steven A., Amit Gal-On y Victor Gaba. Post-transcriptional Regulation of Host Genes Involved with Symptom Expression in Potyviral Infections. United States Department of Agriculture, junio de 2012. http://dx.doi.org/10.32747/2012.7593391.bard.
Texto completoYasuike, K., K. B. Wharton, M. Key, S. Hatchett y R. Snavely. Hot Electron Diagnostic in a Solid Laser Target by K-Shell Lines Measurement from Ultra-Intense Laser-Plasma Interactions R=1.06 (micron)m, 3x10 W/cm -2(less than or equal to) 500 J. Office of Scientific and Technical Information (OSTI), julio de 2000. http://dx.doi.org/10.2172/802096.
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