PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7645
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Article Citation - Scopus: 34Machine Learning Methods for Microrna Gene Prediction(Humana Press Inc., 2014) Saçar,M.D.; Allmer,J.MicroRNAs (miRNAs) are single-stranded, small, noncoding RNAs of about 22 nucleotides in length, which control gene expression at the posttranscriptional level through translational inhibition, degradation, adenylation, or destabilization of their target mRNAs. Although hundreds of miRNAs have been identified in various species, many more may still remain unknown. Therefore, discovery of new miRNA genes is an important step for understanding miRNA-mediated posttranscriptional regulation mechanisms. It seems that biological approaches to identify miRNA genes might be limited in their ability to detect rare miRNAs and are further limited to the tissues examined and the developmental stage of the organism under examination. These limitations have led to the development of sophisticated computational approaches attempting to identify possible miRNAs in silico. In this chapter, we discuss computational problems in miRNA prediction studies and review some of the many machine learning methods that have been tried to address the issues. © Springer Science+Business Media New York 2014.Article Citation - WoS: 19Citation - Scopus: 20Use of Micrornas in Personalized Medicine(Humana Press Inc., 2014) Avci, C.B.; Baran, Y.Personalized medicine comprises the genetic information together with the phenotypic and environmental factors to yield healthcare tailored to an individual and removes the limitations of the "one-size-fits-all" therapy approach. This provides the opportunity to translate therapies from bench to clinic, to diagnose and predict disease, and to improve patient-tailored treatments based on the unique signatures of a patient's disease and further to identify novel treatment schedules. Nowadays, tiny noncoding RNAs, called microRNAs, have captured the spotlight in molecular biology with highlights like their involvement in DNA translational control, their impression on mRNA and protein expression levels, and their ability to reprogram molecular signaling pathways in cancer. Realizing their pivotal roles in drug resistance, they emerged as diagnostic targets orchestrating drug response in individualized therapy examples. It is not premature to think that researchers could have the US Food and Drug Administration (FDA)-approved kit-based assays for miRNA analysis in the near future. We think that miRNAs are ready for prime time. © Springer Science+Business Media New York 2014.Article Citation - WoS: 3Citation - Scopus: 3Gene Reporter Assay To Validate Microrna Targets in Drosophila S2 Cells(Humana Press Inc., 2014) Akgül, B.; Göktaş, C.Bioinformatics programs have helped tremendously in identifying the targets of microRNAs, which are small noncoding RNAs that regulate gene expression posttranscriptionally. However, the partial complementarity between miRNAs and their targets hinders the accuracy of target prediction, necessitating the use of experimental validation procedures. Here, we describe a gene reporter assay typically used in our lab to validate putative miRNA-mRNA interactions in Drosophila S2 cells. © Springer Science+Business Media New York 2014.