Littérature scientifique sur le sujet « MiRNA-mRNA interactions »
Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres
Consultez les listes thématiques d’articles de revues, de livres, de thèses, de rapports de conférences et d’autres sources académiques sur le sujet « MiRNA-mRNA interactions ».
À côté de chaque source dans la liste de références il y a un bouton « Ajouter à la bibliographie ». Cliquez sur ce bouton, et nous générerons automatiquement la référence bibliographique pour la source choisie selon votre style de citation préféré : APA, MLA, Harvard, Vancouver, Chicago, etc.
Vous pouvez aussi télécharger le texte intégral de la publication scolaire au format pdf et consulter son résumé en ligne lorsque ces informations sont inclues dans les métadonnées.
Articles de revues sur le sujet "MiRNA-mRNA interactions"
Guo, Li, Yang Zhao, Sheng Yang, Hui Zhang et Feng Chen. « Integrative Analysis of miRNA-mRNA and miRNA-miRNA Interactions ». BioMed Research International 2014 (2014) : 1–8. http://dx.doi.org/10.1155/2014/907420.
Texte intégralMuniategui, Ander, Rubén Nogales-Cadenas, Miguél Vázquez, Xabier L. Aranguren, Xabier Agirre, Aernout Luttun, Felipe Prosper, Alberto Pascual-Montano et Angel Rubio. « Quantification of miRNA-mRNA Interactions ». PLoS ONE 7, no 2 (14 février 2012) : e30766. http://dx.doi.org/10.1371/journal.pone.0030766.
Texte intégralNaderi, Elnaz, Mehdi Mostafaei, Akram Pourshams et Ashraf Mohamadkhani. « Network of microRNAs-mRNAs Interactions in Pancreatic Cancer ». BioMed Research International 2014 (2014) : 1–8. http://dx.doi.org/10.1155/2014/534821.
Texte intégralSubat, Sophia, Kentaro Inamura, Hironori Ninomiya, Hiroko Nagano, Sakae Okumura et Yuichi Ishikawa. « Unique MicroRNA and mRNA Interactions in EGFR-Mutated Lung Adenocarcinoma ». Journal of Clinical Medicine 7, no 11 (6 novembre 2018) : 419. http://dx.doi.org/10.3390/jcm7110419.
Texte intégralMukushkina, D. D., S. Labeit et A. T. Ivashchenko. « CHARACTERISTICS OF miRNA INTERACTION WITH mRNA OF ISCHEMIC HEART DISEASE CANDIDATE GENES ». REPORTS 335, no 1 (12 février 2021) : 74–82. http://dx.doi.org/10.32014/2021.2518-1483.11.
Texte intégralBencun, Maja, Thiago Britto-Borges, Jessica Eschenbach et Christoph Dieterich. « New Tricks with Old Dogs : Computational Identification and Experimental Validation of New miRNA–mRNA Regulation in hiPSC-CMs ». Biomedicines 10, no 2 (6 février 2022) : 391. http://dx.doi.org/10.3390/biomedicines10020391.
Texte intégralAlshalalfa, Mohammed. « MicroRNA Response Elements-Mediated miRNA-miRNA Interactions in Prostate Cancer ». Advances in Bioinformatics 2012 (4 novembre 2012) : 1–10. http://dx.doi.org/10.1155/2012/839837.
Texte intégralStebel, Sophie, Janina Breuer et Oliver Rossbach. « Studying miRNA–mRNA Interactions : An Optimized CLIP-Protocol for Endogenous Ago2-Protein ». Methods and Protocols 5, no 6 (30 novembre 2022) : 96. http://dx.doi.org/10.3390/mps5060096.
Texte intégralAfonso-Grunz, Fabian, et Sören Müller. « Principles of miRNA–mRNA interactions : beyond sequence complementarity ». Cellular and Molecular Life Sciences 72, no 16 (3 juin 2015) : 3127–41. http://dx.doi.org/10.1007/s00018-015-1922-2.
Texte intégralWang, Zixing, Wenlong Xu, Haifeng Zhu et Yin Liu. « A Bayesian Framework to Improve MicroRNA Target Prediction by Incorporating External Information ». Cancer Informatics 13s7 (janvier 2014) : CIN.S16348. http://dx.doi.org/10.4137/cin.s16348.
Texte intégralThèses sur le sujet "MiRNA-mRNA interactions"
Fu, Xiaonan. « Functional study of miRNA-mRNA interactions in malaria mosquito An. gambiae ». Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/96216.
Texte intégralPHD
Shahab, Shubin. « Microrna and messenger rna interactions in ovarian cancer ». Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/44753.
Texte intégralFrampton, Adam. « The complex network of miRNA and mRNA target interactions in pancreatic cancer ». Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24951.
Texte intégralHernandes, Natalia Helena. « Identificação e validação das interações miRNA-mRNA na metamorfose de Apis mellifera ». Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/17/17135/tde-04012017-115203/.
Texte intégralInsect metamorphosis is one of the most complex and beautiful of known biological events; it consists of successive morphological and physiological alterations. This intricate process is coordinated by various molecular components, including ecdysteroids (20E), juvenile hormone (JH), transcription factors and microRNAs (miRNAs). The miRNAs regulate gene expression, which in turn orchestrates physiological and anatomical changes necessary for successful insect ontogeny. Despite enormous efforts, the endocrine and genetic circuits that regulate metamorphosis in social insects, such as honey bees (Apis mellifera), are far from being completely elucidated. The miRNAs are a substantial component of this molecular machinery and seem to be ubiquitously involved in the control of biological processes. Disclosing new miRNA-target interactions involved in metamorphosis and in the regulation of 20E and JH cascades can shed light on these poorly understood events. In this study, we provide new pieces to this puzzle. We investigated the roles of miR-34, miR-281, miR-252a and miR-252b, known to be important regulators of insect metamorphosis, in the A. mellifera model. All of these miRNAs revealed a high degree of phylogenetic conservation and responded to treatment with 20E, which altered transcript abundance. Using available information and our databases, we identified interactions involving these miRNAs and the component genes of JH and 20E pathways: ultraspiracle (Usp), fushi tarazu-transcription factor 1 (ftz-f1), ecdysone receptor (EcR), calponin (chd64), insulin receptor 2 (inr2), and Krüppel homolog 1 (Kr-h1). Prediction of miRNA-target interactions revealed that the ecdysteroid receptors EcR and Usp and the transcription factor ftz-f1 are highly targeted by miRNAs involved in metamorphosis; they presented binding sites for all four miRNAs. We also observed that all six-protein coding genes are putatively targeted by miR-34. Using the luciferase assay, we were able to validate the interactions of miR-34 with the targets Krh1, chd64 and inr2; miR-252a with the targets ftz-f1 and EcR; miR-252b with the targets chd64 and ftz-f1; and miR-281 with the targets ftz-f1, EcR and Usp. Investigation of miRNA expression profiles during larval (L3-PP3) and pupal (Pw) development, as a function of the profiles of their respective targets, demonstrated many cases of positive miRNA-mRNA relationships. These results complemented the validation results, showing how the miRNAs regulate their targets. In conclusion, we identified various previously unknown miRNA-mRNA interactions involved in the metamorphosis of A. mellifera. The regulatory pathways proposed and validated by us, as well as their characterizations and relationships with metamorphosis regulator hormones, are unique and add to the understanding of the regulation of metamorphosis in A. mellifera. In this context, our research contributes to a better understanding of the molecular events involved in honey bee metamorphosis.
Homberg, Nicolas. « New models and algorithms for the identification of sncRNA-(snc)RNA interactions intra and across-species/kingdom ». Electronic Thesis or Diss., Lyon 1, 2023. http://www.theses.fr/2023LYO10090.
Texte intégralMicroRNAs (miRNAs) are non-coding RNAs present in eukaryotes that regulate the expression of messenger RNAs (mRNAs) up or down. These miRNAs have significant potential in future treatment of cancer and other diseases. The miRNA-mRNA interactions are intricate and involve various mechanisms, such as sequence complementarity, accessibility, and conservation. This thesis focuses on two such mechanisms, namely accessibility and intra-species conservation of the site of interaction, using experimental data from Cross-linking, Ligation And Sequencing of Hybrids (CLASH). Although the accessibility of interaction sites on mRNAs is generally observed, it is not consistent for all interactions. Intra-species conservation is a rare feature, which we explore by inferring conserved motifs from mRNA interaction sites. Although the results are noisy, in some specific cases, we manage to retrieve some mRNA interaction sites from the inferred motifs
Lo, Tzu-Chun, et 羅子鈞. « A Statistical Framework for Identifying miRNA-mRNA Interactions in Association Studies ». Thesis, 2015. http://ndltd.ncl.edu.tw/handle/2bm4p6.
Texte intégral國立中正大學
資訊工程研究所
103
MicroRNAs (miRNAs) are noncoding small RNAs which suppress target mRNA expres- sion by cleavage. Thanks to the development of small RNA sequencing (small RNA-Seq) and RNA sequencing (RNA-Seq), we can gain insight into the landscape and expres- sion abundance of miRNAs and mRNAs in the genome. In reality, the miRNA-cleaved transcripts remain in the cell before degradation. These cleaved transcripts may be still captured and sequenced, leading to aberrant expression around the cleavage site. In this thesis, we design and implement a statistical framework for identifying aberrant expression caused by miRNA cleavage from RNA-seq. Our method is applied on a cold- stress study of two rice strains. We identied 23 miRNA-mRNA interactions with such aberrant expression, which are highly correlated to tolerance of cold stress.
Correia, Sónia Cristina Heleno. « Molecular analysis of microRNA-target gene interactions in the pine seed ». Master's thesis, 2017. http://hdl.handle.net/10362/21586.
Texte intégralRana, Mitali. « miRNA-mRNA interaction map in breast cancer ». Thesis, 2013. http://ethesis.nitrkl.ac.in/5304/1/411LS2062.pdf.
Texte intégralCzarnocki-Cieciura, Mariusz. « Analiza architektury kompleksu CCR4-NOT i mechanizmu jego działania w szlaku mikroRNA ». Doctoral thesis, 2015.
Trouver le texte intégralEukaryotic mRNA are protected from degradation from both ends by the cap structure and poly(A) tail at their 5' and 3' ends, respectively. Moreover, the PABP proteins (poly(A) binding proteins) associated with poly(A) tail interact with the translation factors eIF4E/eIF4G that protect the 5' cap structure. This mRNA circularization stabilizes such mRNP (mRNA-protein complexes) and results in the enhancement of translation. Therefore, the first step in mRNA degradation is destabilization of the interaction between 5'- and 3'-ends by reducing the length of poly(A) tail (deadenylation by the CCR4-NOT and PAN2-PAN3 protein complexes) and/or removal of the 5'-cap structure by the DCP2-DCP1 decapping complex.The CCR4-NOT complex is the major eukaryotic deadenylase and is involved in cytoplasmic degradation of most mRNA molecules. This evolutionarily conserved multiprotein assembly consists of at least two distinct functional and structural modules that are connected by the large scaffold protein CNOT1. The two catalytic subunits (CNOT6/CNOT6L and CNOT7/CNOT8) together with the CNOT9 protein interact with the N-terminal part of CNOT1 protein, while the CNOT2 and CNOT3 proteins associate with the C-terminal part of CNOT1. Recently it was shown that CCR4-NOT complex is involved in microRNA-mediated mRNA repression. Central to this pathway are small, 22 nt long RNA called miRNA. They are complementary to short sequences present in 3'-UTR (untranslated region) of many transcripts. After incorporation into RNA-induced silencing complexes (RISC) miRNA guide them to those mRNA. This generally leads to translational repression and subsequent degradation of targeted transcripts. Major players in this process are GW182 proteins. They are recruited to miRNA targets through their N-terminal domains, while their C-terminal part, called silencing domain (SD) or C-terminal effector domain (CED), is directly responsible for silencing. The SD/CED domain may directly recruit deadenylase complexes and presumably other degradation factors by interacting with CNOT1 protein, but the exact mechanism of GW182 action remains elusive. To get insights into architecture of the CCR4-NOT complex and to identify its subunits that are directly involved in the interaction with GW182 proteins a series of truncated versions of CNOT1 protein and other subunits of the human CCR4-NOT complex were purified from E. coli expression cells. Recombinant proteins were tested for interaction with each other and with SD/CED domain of human GW182 proteins by size-exclusion chromatography coupled with multi-angle light scattering (SEC-MALS). These experiments showed that the CNOT7 catalytic subunit interacts with the central domain of CNOT1 protein called MIF4G while the CNOT9 subunit is bound to the adjacent CN9BD domain. Moreover, experiments conducted with yeast orthologues of CNOT2 and CNOT3 subunits showed that they interact with each other through their C-terminal NOT-box domains. SEC-MALS analysis of CCR4-NOT subunits mixed with SD/CED domain showed that the GW182 proteins recruit the major deadenylase complex by interacting with the CNOT9 subunit. This interaction is mediated by hydrophobic Trp residues scattered throughout the unstructured parts of SD/CED sequence and is further stabilised by additional binding surface located on the NOT-module of the CCR4-NOT complex. Collectively, these results provide new insights into the architecture of the CCR4-NOT complex and explain mechanism of its recruitment by GW182 proteins.
Chapitres de livres sur le sujet "MiRNA-mRNA interactions"
Andrés-León, Eduardo, Gonzalo Gómez-López et David G. Pisano. « Prediction of miRNA–mRNA Interactions Using miRGate ». Dans Methods in Molecular Biology, 225–37. New York, NY : Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6866-4_15.
Texte intégralBagnacani, Andrea, Markus Wolfien et Olaf Wolkenhauer. « Tools for Understanding miRNA–mRNA Interactions for Reproducible RNA Analysis ». Dans Computational Biology of Non-Coding RNA, 199–214. New York, NY : Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-8982-9_8.
Texte intégralLuo, Dan, Shu-Lin Wang et Jianwen Fang. « Combining Gene Expression and Interactions Data with miRNA Family Information for Identifying miRNA-mRNA Regulatory Modules ». Dans Intelligent Computing Theories and Application, 311–22. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63312-1_28.
Texte intégralKléma, Jiří, Jan Zahálka, Michael Anděl et Zdeněk Krejčík. « Interaction-Based Aggregation of mRNA and miRNA Expression Profiles to Differentiate Myelodysplastic Syndrome ». Dans Biomedical Engineering Systems and Technologies, 165–80. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26129-4_11.
Texte intégralGiurgiu, Miruna, Robert Kaltenbach, Franziska Ahrend, Summer Weeks, Holly Clifton, Martin Bouldo, Vitaly Voloshin, Jiling Zhong, Siegfried Harden et Alexander Kofman. « Multiple genetic polymorphisms within microRNA targets and homologous microRNA-binding sites : two more factors influencing microRNA-mediated regulation of gene expression ». Dans Advances in Genetic Polymorphisms [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1002250.
Texte intégralShahid, Imran, et Qaiser Jabeen. « Appling Drug Discovery in HCV-therapeutics : A snapshot from the past and glimpse into the future ». Dans Hepatitis C Virus-Host Interactions and Therapeutics : Current Insights and Future Perspectives, 290–342. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815123432123010013.
Texte intégralThi Ngoc Nguyen, Thanh, Thu Huynh Ngoc Nguyen, Luan Huu Huynh, Hoang Ngo Phan et Hue Thi Nguyen. « Predicting SNPs in Mature MicroRNAs Dysregulated in Breast Cancer ». Dans Recent Advances in Non-Coding RNAs [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105514.
Texte intégralMajeed Shah, Ishteyaq, Mashooq Ahmad Dar, Kaiser Ahmad Bhat, Tashook Ahmad Dar, Fayaz Ahmad et Syed Mudasir Ahmad. « Long Non-Coding RNAs : Biogenesis, Mechanism of Action and Role in Different Biological and Pathological Processes ». Dans Recent Advances in Non-Coding RNAs [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104861.
Texte intégralPrado-Garcia, Heriberto, Ana E. González-Santiago, Susana Romero-Garcia, Alejandra Garcia-Hernandez, Victor Ruiz, Arnoldo Aquino-Galvez, Alma Cebreros-Verdin et Angeles Carlos-Reyes. « lncRNA-miRNA-mRNA Interaction Networks Regulation in Hematological Malignancies ». Dans Reference Module in Biomedical Sciences. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-443-15717-2.00010-x.
Texte intégralZhu, Jinyi, Haoran Meng et Yan Li. « Screening and Bioinformatics Analysis of Differential Genes in Autism Spectrum Disorder Based on GEO Database ». Dans Studies in Health Technology and Informatics. IOS Press, 2023. http://dx.doi.org/10.3233/shti230851.
Texte intégralActes de conférences sur le sujet "MiRNA-mRNA interactions"
Ferdous, Rayhan, Md Zahidul Islam et Ferdous Bin Ali. « Identifying miRNA-mRNA interactions by a combination of spearman's rank correlation and IDA ». Dans 2016 International Conference on Informatics, Electronics and Vision (ICIEV). IEEE, 2016. http://dx.doi.org/10.1109/iciev.2016.7760131.
Texte intégralGuo, Yichen, Marie Denis, Rency S. Varghese, Sidharth S. Jain, Mahlet G. Tadesse et Habtom W. Ressom. « Bayesian Approach Integrating Prior Knowledge for Identifying miRNA-mRNA Interactions in Hepatocellular Carcinoma ». Dans 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023. http://dx.doi.org/10.1109/bibm58861.2023.10385314.
Texte intégralWeidner, Julie, Carina Malmhäll, Aidan Barrett, Huda Hasan, Emma Boberg, Linda Ekerljung et Madeleine Rådinger. « Glucocorticoid signaling genes are altered in asthma subgroups – A potential role for mRNA-miRNA interactions ». Dans ERS International Congress 2020 abstracts. European Respiratory Society, 2020. http://dx.doi.org/10.1183/13993003.congress-2020.2715.
Texte intégralRomero-Cordoba, Sandra L., Rosa Rebollar-Vega, Valeria Quintanar-Jurado, Alfredo Hidalgo-Miranda, Sergio Rodriguez-Cuevas, Veronica Bautista-Pina et Antonio Maffuz-Aziz. « Abstract 4370 : miRNA profiles identify different subgroups of triple negative tumors and reveal novel miRNA-mRNA interactions in breast cancer tumorigenesis ». 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.am2014-4370.
Texte intégralSzczepankiewicz, D., W. Langwiński, J. Nowakowska, P. Kołodziejski, E. Pruszyńska-Oszmałek, M. Sassek, N. Leciejewska, K. Ziarniak et A. Szczepankiewicz. « Allergic airway inflammation affects signaling pathways in adipose tissue via mRNA-miRNA interactions in the rat ». Dans ERS International Congress 2022 abstracts. European Respiratory Society, 2022. http://dx.doi.org/10.1183/13993003.congress-2022.2275.
Texte intégralTelonis, Aristeidis G. « Abstract B79 : Integrative quantitative analysis of pancreatic ductal adenocarcinoma mRNA, miRNA, and methylation profiles reveals interactions that are dependent on tumor cellularity ». Dans Abstracts : AACR Special Conference on Pancreatic Cancer : Advances in Science and Clinical Care ; May 12-15, 2016 ; Orlando, FL. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.panca16-b79.
Texte intégralGabriel, Binthiya Suny, et Tessamma Thomas. « Novel Method for Analyzing the Relation of miRNA Seed Length and the miRNA-mRNA Interaction Strength ». Dans 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII). IEEE, 2021. http://dx.doi.org/10.1109/icbsii51839.2021.9445143.
Texte intégralYURIKOVA, O., S. ATAMBAYEVA, R. NIYAZOVA et A. IVASHCHENKO. « INTERACTION OF MIRNA WITH MRNA OF ORTHOLOGOUS GENES INVOLVED IN THE DEVELOPMENT OF NEURODEGENERATIVE AND ONCOLOGICAL DISEASES ». Dans 5TH MOSCOW INTERNATIONAL CONFERENCE "MOLECULAR PHYLOGENETICSAND BIODIVERSITY BIOBANKING". TORUS PRESS, 2018. http://dx.doi.org/10.30826/molphy2018-40.
Texte intégral« Characteristics of interaction of miRNA with mRNA of C2H2, ERF and GRAS transcription factors of arabidopsis, rice and maize ». Dans Bioinformatics of Genome Regulation and Structure/ Systems Biology. institute of cytology and genetics siberian branch of the russian academy of science, Novosibirsk State University, 2020. http://dx.doi.org/10.18699/bgrs/sb-2020-214.
Texte intégral