Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists
MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression at the posttranscriptional level. Because of their wide network of interactions, miRNAs have become the focus of many studies over the past decade, particularly in animal species. To streamline the number of potential wet lab...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | Computational and Structural Biotechnology Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037021004475 |
| _version_ | 1819320350309089280 |
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| author | Aurélien Quillet Youssef Anouar Thierry Lecroq Christophe Dubessy |
| author_facet | Aurélien Quillet Youssef Anouar Thierry Lecroq Christophe Dubessy |
| author_sort | Aurélien Quillet |
| collection | DOAJ |
| description | MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression at the posttranscriptional level. Because of their wide network of interactions, miRNAs have become the focus of many studies over the past decade, particularly in animal species. To streamline the number of potential wet lab experiments, the use of miRNA target prediction tools is currently the first step undertaken. However, the predictions made may vary considerably depending on the tool used, which is mostly due to the complex and still not fully understood mechanism of action of miRNAs. The discrepancies complicate the choice of the tool for miRNA target prediction. To provide a comprehensive view of this issue, we highlight in this review the main characteristics of miRNA-target interactions in bilaterian animals, describe the prediction models currently used, and provide some insights for the evaluation of predictor performance. |
| first_indexed | 2024-12-24T11:18:11Z |
| format | Article |
| id | doaj.art-f53de86410da45808f017a9ab9e0acf2 |
| institution | Directory Open Access Journal |
| issn | 2001-0370 |
| language | English |
| last_indexed | 2024-12-24T11:18:11Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computational and Structural Biotechnology Journal |
| spelling | doaj.art-f53de86410da45808f017a9ab9e0acf22022-12-21T16:58:19ZengElsevierComputational and Structural Biotechnology Journal2001-03702021-01-011958115825Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologistsAurélien Quillet0Youssef Anouar1Thierry Lecroq2Christophe Dubessy3Normandie Université, UNIROUEN, INSERM, Laboratoire Différenciation et Communication Neuronale et Neuroendocrine, 76000 Rouen, FranceNormandie Université, UNIROUEN, INSERM, Laboratoire Différenciation et Communication Neuronale et Neuroendocrine, 76000 Rouen, FranceNormandie Université, UNIROUEN, UNIHAVRE, INSA Rouen, Laboratoire d'Informatique du Traitement de l'Information et des Systèmes, 76000 Rouen, FranceNormandie Université, UNIROUEN, INSERM, Laboratoire Différenciation et Communication Neuronale et Neuroendocrine, 76000 Rouen, France; Normandie Université, UNIROUEN, INSERM, PRIMACEN, 76000 Rouen, France; Corresponding author at: Laboratoire Différenciation et Communication Neuronale et Neuroendocrine (DC2N), Inserm U1239, Normandie Université, Université de Rouen Normandie, Place E. Blondel, 76821 Mont-Saint-Aignan Cedex, France.MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression at the posttranscriptional level. Because of their wide network of interactions, miRNAs have become the focus of many studies over the past decade, particularly in animal species. To streamline the number of potential wet lab experiments, the use of miRNA target prediction tools is currently the first step undertaken. However, the predictions made may vary considerably depending on the tool used, which is mostly due to the complex and still not fully understood mechanism of action of miRNAs. The discrepancies complicate the choice of the tool for miRNA target prediction. To provide a comprehensive view of this issue, we highlight in this review the main characteristics of miRNA-target interactions in bilaterian animals, describe the prediction models currently used, and provide some insights for the evaluation of predictor performance.http://www.sciencedirect.com/science/article/pii/S2001037021004475MicroRNATarget predictionBioinformatics toolsComputational prediction methodsData combinationPerformance evaluation |
| spellingShingle | Aurélien Quillet Youssef Anouar Thierry Lecroq Christophe Dubessy Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists Computational and Structural Biotechnology Journal MicroRNA Target prediction Bioinformatics tools Computational prediction methods Data combination Performance evaluation |
| title | Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists |
| title_full | Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists |
| title_fullStr | Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists |
| title_full_unstemmed | Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists |
| title_short | Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists |
| title_sort | prediction methods for microrna targets in bilaterian animals toward a better understanding by biologists |
| topic | MicroRNA Target prediction Bioinformatics tools Computational prediction methods Data combination Performance evaluation |
| url | http://www.sciencedirect.com/science/article/pii/S2001037021004475 |
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