Bioinformatic Prediction of Novel microRNAs Encoded in Krüppel-like Factor 4 Gene
MicroRNAs are small non-coding RNAs that can regulate gene expression that affects various cellular processes. Krüppel-like factor 4 (KLF4) is a transcription factor that has different regulatory functions, and it plays a role in various cellular processes. This study aims to identify novel microRNA...
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| Format: | Article |
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University of Mazandaran
2024-02-01
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| Series: | Journal of Genetic Resources |
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| Online Access: | https://sc.journals.umz.ac.ir/article_4873_c316af224533a28e067950591a7d7aab.pdf |
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| author | Mina Zahiri Maryam Hassanlou Amir-Reza Javanmard Nooshin Bijari |
| author_facet | Mina Zahiri Maryam Hassanlou Amir-Reza Javanmard Nooshin Bijari |
| author_sort | Mina Zahiri |
| collection | DOAJ |
| description | MicroRNAs are small non-coding RNAs that can regulate gene expression that affects various cellular processes. Krüppel-like factor 4 (KLF4) is a transcription factor that has different regulatory functions, and it plays a role in various cellular processes. This study aims to identify novel microRNAs in KLF4 gene using bioinformatics tools. This study significantly contributes to our understanding of the complex function of KLF4 and reveals additional layers of regulatory complexity that affect gene function and cellular dynamics. Advanced bioinformatics methods, including SSCprofiler website, were used to predict stem-loop structures in KLF4 gene, and MatureBayes website was used to predict the mature sequence of microRNAs, which indicate potential miRNA candidates. Using the RNAfold website, the stem-loop structure of microRNAs was determined. The UCSC database assessed the conservation status of these miRNAs and their precursors. From the results of bioinformatics analysis of KLF4 gene, three microRNAs were predicted. Websites and bioinformatics tools were able to predict the sequence of possible microRNAs along with their mature sequence and then depict their stem-loop structure. The analysis of the obtained sequences showed that they are highly conserved, which indicates their importance in the genome. The results obtained in this study show the power and functionality of bioinformatics tools. While the bioinformatic results increase our understanding of the function of the KLF4 gene, experimental studies are needed to confirm these results, which can give us more information about the function of this gene in the future. |
| format | Article |
| id | doaj-art-a737c2e46507485aa8177b80a3ea5bc5 |
| institution | Kabale University |
| issn | 2423-4257 2588-2589 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | University of Mazandaran |
| record_format | Article |
| series | Journal of Genetic Resources |
| spelling | doaj-art-a737c2e46507485aa8177b80a3ea5bc52025-01-27T06:11:19ZengUniversity of MazandaranJournal of Genetic Resources2423-42572588-25892024-02-01101404510.22080/jgr.2024.26594.13824873Bioinformatic Prediction of Novel microRNAs Encoded in Krüppel-like Factor 4 GeneMina Zahiri0Maryam Hassanlou1Amir-Reza Javanmard2Nooshin Bijari3Farzanegan Campus, Semnan University, Semnan, IranFarzanegan Campus, Semnan University, Semnan, IranMolecular Genetics Department, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, IranFaculty of Biological Sciences, Semnan University, Semnan, IranMicroRNAs are small non-coding RNAs that can regulate gene expression that affects various cellular processes. Krüppel-like factor 4 (KLF4) is a transcription factor that has different regulatory functions, and it plays a role in various cellular processes. This study aims to identify novel microRNAs in KLF4 gene using bioinformatics tools. This study significantly contributes to our understanding of the complex function of KLF4 and reveals additional layers of regulatory complexity that affect gene function and cellular dynamics. Advanced bioinformatics methods, including SSCprofiler website, were used to predict stem-loop structures in KLF4 gene, and MatureBayes website was used to predict the mature sequence of microRNAs, which indicate potential miRNA candidates. Using the RNAfold website, the stem-loop structure of microRNAs was determined. The UCSC database assessed the conservation status of these miRNAs and their precursors. From the results of bioinformatics analysis of KLF4 gene, three microRNAs were predicted. Websites and bioinformatics tools were able to predict the sequence of possible microRNAs along with their mature sequence and then depict their stem-loop structure. The analysis of the obtained sequences showed that they are highly conserved, which indicates their importance in the genome. The results obtained in this study show the power and functionality of bioinformatics tools. While the bioinformatic results increase our understanding of the function of the KLF4 gene, experimental studies are needed to confirm these results, which can give us more information about the function of this gene in the future.https://sc.journals.umz.ac.ir/article_4873_c316af224533a28e067950591a7d7aab.pdfstem cellpluripotencybioinformatics softwarenon-coding rnas |
| spellingShingle | Mina Zahiri Maryam Hassanlou Amir-Reza Javanmard Nooshin Bijari Bioinformatic Prediction of Novel microRNAs Encoded in Krüppel-like Factor 4 Gene Journal of Genetic Resources stem cell pluripotency bioinformatics software non-coding rnas |
| title | Bioinformatic Prediction of Novel microRNAs Encoded in Krüppel-like Factor 4 Gene |
| title_full | Bioinformatic Prediction of Novel microRNAs Encoded in Krüppel-like Factor 4 Gene |
| title_fullStr | Bioinformatic Prediction of Novel microRNAs Encoded in Krüppel-like Factor 4 Gene |
| title_full_unstemmed | Bioinformatic Prediction of Novel microRNAs Encoded in Krüppel-like Factor 4 Gene |
| title_short | Bioinformatic Prediction of Novel microRNAs Encoded in Krüppel-like Factor 4 Gene |
| title_sort | bioinformatic prediction of novel micrornas encoded in kruppel like factor 4 gene |
| topic | stem cell pluripotency bioinformatics software non-coding rnas |
| url | https://sc.journals.umz.ac.ir/article_4873_c316af224533a28e067950591a7d7aab.pdf |
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