Littérature scientifique sur le sujet « Microrna targets »
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Articles de revues sur le sujet "Microrna targets"
Baxter, Diana E., Lisa M. Allinson, Waleed S. Al Amri, James A. Poulter, Arindam Pramanik, James L. Thorne, Eldo T. Verghese et Thomas A. Hughes. « MiR-195 and Its Target SEMA6D Regulate Chemoresponse in Breast Cancer ». Cancers 13, no 23 (28 novembre 2021) : 5979. http://dx.doi.org/10.3390/cancers13235979.
Texte intégralHuang, Tinghua, Xiali Huang et 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, no 05 (octobre 2019) : 1950032. http://dx.doi.org/10.1142/s021972001950032x.
Texte intégralArora, Amit. « MicroRNA targets ». Pharmacogenetics and Genomics 25, no 3 (mars 2015) : 107–25. http://dx.doi.org/10.1097/fpc.0000000000000111.
Texte intégralTorkey, Hanaa, Lenwood S. Heath et Mahmoud ElHefnawi. « MicroTarget : MicroRNA target gene prediction approach with application to breast cancer ». Journal of Bioinformatics and Computational Biology 15, no 04 (août 2017) : 1750013. http://dx.doi.org/10.1142/s0219720017500135.
Texte intégralSmoczynska, Aleksandra, Andrzej M. Pacak, Przemysław Nuc, Aleksandra Swida-Barteczka, Katarzyna Kruszka, Wojciech M. Karlowski, Artur Jarmolowski et Zofia Szweykowska-Kulinska. « A Functional Network of Novel Barley MicroRNAs and Their Targets in Response to Drought ». Genes 11, no 5 (29 avril 2020) : 488. http://dx.doi.org/10.3390/genes11050488.
Texte intégralMa, Xiao, Dan Li, Yan Gao et Cheng Liu. « miR-451a Inhibits the Growth and Invasion of Osteosarcoma via Targeting TRIM66 ». Technology in Cancer Research & ; Treatment 18 (1 janvier 2019) : 153303381987020. http://dx.doi.org/10.1177/1533033819870209.
Texte intégralChu, W. H., L. Harland, P. Grant, M. De Blasio, W. Kong, S. Moretta, J. S. Robinson, M. E. Dziadek et 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, no 9 (2009) : 81. http://dx.doi.org/10.1071/srb09abs163.
Texte intégralJohn, Bino, Anton J. Enright, Alexei Aravin, Thomas Tuschl, Chris Sander et Debora S. Marks. « Human MicroRNA Targets ». PLoS Biology 2, no 11 (5 octobre 2004) : e363. http://dx.doi.org/10.1371/journal.pbio.0020363.
Texte intégralDa Costa Martins, Paula A., et Leon J. De Windt. « Targeting MicroRNA Targets ». Circulation Research 111, no 5 (17 août 2012) : 506–8. http://dx.doi.org/10.1161/circresaha.112.276717.
Texte intégralSeitz, Hervé. « Redefining MicroRNA Targets ». Current Biology 19, no 10 (mai 2009) : 870–73. http://dx.doi.org/10.1016/j.cub.2009.03.059.
Texte intégralThèses sur le sujet "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.
Texte intégralMicroRNAs 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.
Texte intégralWith 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.
Texte intégralDavis, 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.
Texte intégralTorkey, Hanaa A. « Machine Learning Approaches for Identifying microRNA Targets and Conserved Protein Complexes ». Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/77536.
Texte intégralPh. D.
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.
Texte intégralBudd, 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.
Texte intégralJoo, 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.
Texte intégralRose, 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.
Texte intégralYoussef, 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.
Texte intégralLivres sur le sujet "Microrna targets"
Laganà, Alessandro, dir. MicroRNA Target Identification. New York, NY : Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9207-2.
Texte intégralSarkar, Fazlul H., dir. MicroRNA Targeted Cancer Therapy. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05134-5.
Texte intégralDalmay, Tamas, dir. MicroRNA Detection and Target Identification. New York, NY : Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6866-4.
Texte intégralDalmay, Tamas, dir. MicroRNA Detection and Target Identification. New York, NY : Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2982-6.
Texte intégralSlabý, Ondřej. MicroRNAs in solid cancer : From biomarkers to therapeutic targets. Hauppauge, N.Y : Nova Science, 2011.
Trouver le texte intégralSarkar, Fazlul H. MicroRNA Targeted Cancer Therapy. Springer, 2016.
Trouver le texte intégralSarkar, Fazlul H. MicroRNA Targeted Cancer Therapy. Springer, 2014.
Trouver le texte intégralSarkar, Fazlul H. MicroRNA Targeted Cancer Therapy. Springer London, Limited, 2014.
Trouver le texte intégralLaganà, Alessandro. MicroRNA Target Identification : Methods and Protocols. Springer New York, 2019.
Trouver le texte intégralDalmay, Tamas. MicroRNA Detection and Target Identification : Methods and Protocols. Springer, 2023.
Trouver le texte intégralChapitres de livres sur le sujet "Microrna targets"
Deng, Jia Han, Qinggao Deng, Chih-Hao Kuo, Sean W. Delaney et Shao-Yao Ying. « MiRNA Targets of Prostate Cancer ». Dans MicroRNA Protocols, 357–69. Totowa, NJ : Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-083-0_27.
Texte intégralXu, Jianzhen, et Chi-Wai Wong. « Enrichment Analysis of miRNA Targets ». Dans MicroRNA Protocols, 91–103. Totowa, NJ : Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-083-0_8.
Texte intégralLaganà, Alessandro. « Computational Prediction of microRNA Targets ». Dans microRNA : Basic Science, 231–52. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22380-3_12.
Texte intégralFujii, Yoichi Robertus. « Quantum Language of MicroRNA : Application for New Cancer Therapeutic Targets ». Dans MicroRNA Protocols, 145–57. New York, NY : Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7601-0_12.
Texte intégralChen, Shu-Jen, et Hua-Chien Chen. « Analysis of Targets and Functions Coregulated by MicroRNAs ». Dans MicroRNA and Cancer, 225–41. Totowa, NJ : Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-863-8_16.
Texte intégralTomasello, Luisa, Landon Cluts et Carlo M. Croce. « Experimental Validation of MicroRNA Targets : Analysis of MicroRNA Targets Through Western Blotting ». Dans 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.
Texte intégralBeitzinger, Michaela, et Gunter Meister. « Experimental Identification of MicroRNA Targets ». Dans Handbook of RNA Biochemistry, 1087–96. Weinheim, Germany : Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527647064.ch49.
Texte intégralWang, Xiaowei. « Computational Prediction of MicroRNA Targets ». Dans Methods in Molecular Biology, 283–95. Totowa, NJ : Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-811-9_19.
Texte intégralNachtigall, Pedro Gabriel, et Luiz Augusto Bovolenta. « Computational Detection of MicroRNA Targets ». Dans Methods in Molecular Biology, 187–209. New York, NY : Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1170-8_10.
Texte intégralRamelli, Sabrina C., et William T. Gerthoffer. « MicroRNA Targets for Asthma Therapy ». Dans 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.
Texte intégralActes de conférences sur le sujet "Microrna targets"
Le, Wei, Weihua Wang, Markus Gutsche, Mueen Ghani, Debra Tsai, Kevin Liu et Daya Upadhyay. « Microrna Targets Of EGFR Regulation In Lung Cancer ». Dans 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.
Texte intégralCrouser, Elliott D., Mark Julian, Guohong Shao, Melissa Crawford, Daniel A. Culver et Patrick Nana-Sinkam. « MicroRNA Targets The Neopterin Pathway In Pulmonary Sarcoidosis ». Dans 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.
Texte intégralHUANG, J. C., B. J. FREY et Q. D. MORRIS. « COMPARING SEQUENCE AND EXPRESSION FOR PREDICTING microRNA TARGETS USING GenMiR3 ». Dans Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812776136_0007.
Texte intégralSu, Naifang, Yufu Wang, Minping Qian et Minghua Deng. « Predicting MicroRNA targets by integrating sequence and expression data in cancer ». Dans 2011 IEEE International Conference on Systems Biology (ISB). IEEE, 2011. http://dx.doi.org/10.1109/isb.2011.6033158.
Texte intégralGill, Mandeep, Bruna Sugita, Silma R. Pereira, Catalin Marian, Xi Li, Yuriy Gusev, Enilze MSF Ribeiro, Iglenir J. Cavalli et Luciane R. Cavalli. « Abstract 1545 : Identification of microRNA targets in triple-negative breast cancer ». Dans 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.
Texte intégralRamalinga, Malathi, Anvesha Srivastava, Alexander Dimtchev, Offie Soldin, James Li, Catalin Marian, Simeng Suy, Sean P. Collins et Deepak Kumar. « Abstract 5028 : MicroRNA-212 targets multiple signaling pathways in prostate cancer ». Dans 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.
Texte intégralParanjape, TS, SV Nallur, K. Keanie, M. Martel, BG Haffty, DP Tuck, F. Slack et JB Weidhaas. « MicroRNA profiling of triple negative breast cancer : predicting outcome and targets. » Dans 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.
Texte intégralGoel, K., N. Egersdorf, D. Cao, S. M. Majka, H. Karmouty-Quintana et I. Petrache. « MicroRNA-126 Signaling and Targets in COPD and COPD-Pulmonary Hypertension ». Dans 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.
Texte intégralKnobloch, Thomas J., Zhaoxia Zhang, Gary D. Stoner, Electra D. Paskett, David E. Cohn, Jeffrey M. Fowler et Christopher M. Weghorst. « Abstract A77 : Lyophilized black raspberries modulate microRNA targets inhuman cervical cancer cells ». Dans 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.
Texte intégralDieujuste, Bachelard, Michelle Naidoo et Olorunseun Ogunwobi. « Abstract 2364 : MicroRNA-1205 directly targets ONECUT2 in neuroendocrine prostate cancer cells ». Dans 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.
Texte intégralRapports d'organisations sur le sujet "Microrna targets"
Shukla, Girish C. MicroRNA Targets of Human Androgen Receptor. Fort Belvoir, VA : Defense Technical Information Center, mai 2013. http://dx.doi.org/10.21236/ada589690.
Texte intégralSun, Lina, Yanan Han, Hua Wang, Huanyu Liu, Shan Liu, Hongbin Yang, Xiaoxia Ren et 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, février 2022. http://dx.doi.org/10.37766/inplasy2022.2.0027.
Texte intégralGreen, Jeffrey E., et 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, juillet 2007. http://dx.doi.org/10.21236/ada473885.
Texte intégralEshed, Yuval, et Sarah Hake. Shaping plant architecture by age dependent programs : implications for food, feed and biofuel. United States Department of Agriculture, décembre 2012. http://dx.doi.org/10.32747/2012.7597922.bard.
Texte intégralLers, Amnon, et Pamela J. Green. Analysis of Small RNAs Associated with Plant Senescence. United States Department of Agriculture, mars 2013. http://dx.doi.org/10.32747/2013.7593393.bard.
Texte intégralZhao, 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, mai 2009. http://dx.doi.org/10.21236/ada508403.
Texte intégralBurks, Thomas F., Victor Alchanatis et Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, octobre 2009. http://dx.doi.org/10.32747/2009.7591739.bard.
Texte intégralSanchez, 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), septembre 2003. http://dx.doi.org/10.2172/15006531.
Texte intégralWhitham, Steven A., Amit Gal-On et Victor Gaba. Post-transcriptional Regulation of Host Genes Involved with Symptom Expression in Potyviral Infections. United States Department of Agriculture, juin 2012. http://dx.doi.org/10.32747/2012.7593391.bard.
Texte intégralYasuike, K., K. B. Wharton, M. Key, S. Hatchett et 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), juillet 2000. http://dx.doi.org/10.2172/802096.
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