MIREyA: a computational approach to detect miRNA-directed gene activation [version 2; peer review: 1 approved, 2 approved with reservations]. Elizarova, A., Ozturk, M., Guler, R., & Medvedeva, Y. A F1000Research, 10:249, F1000 Research Limited, mar, 2021.
MIREyA: a computational approach to detect miRNA-directed gene activation [version 2; peer review: 1 approved, 2 approved with reservations] [link]Paper  doi  abstract   bibtex   
Emerging studies demonstrate the ability of microRNAs (miRNAs) to activate genes via different mechanisms. Specifically, miRNAs may trigger an enhancer promoting chromatin remodelling in the enhancer region, thus activating the enhancer and its target genes. Here we present MIREyA, a pipeline developed to predict such miRNA-gene-enhancer trios based on an expression dataset which obviates the need to write custom scripts. We applied our pipeline to primary murine macrophages infected by Mycobacterium tuberculosis (HN878 strain) and detected Mir22, Mir221, Mir222, Mir155 and Mir1956, which could up-regulate genes related to immune responses. We believe that MIREyA is a useful tool for detecting putative miRNA-directed gene activation cases. MIREyA is available from: https://github.com/veania/MIREyA
@article{Elizarova2021,
abstract = {Emerging studies demonstrate the ability of microRNAs (miRNAs) to activate genes via different mechanisms. Specifically, miRNAs may trigger an enhancer promoting chromatin remodelling in the enhancer region, thus activating the enhancer and its target genes. Here we present MIREyA, a pipeline developed to predict such miRNA-gene-enhancer trios based on an expression dataset which obviates the need to write custom scripts. We applied our pipeline to primary murine macrophages infected by Mycobacterium tuberculosis (HN878 strain) and detected Mir22, Mir221, Mir222, Mir155 and Mir1956, which could up-regulate genes related to immune responses. We believe that MIREyA is a useful tool for detecting putative miRNA-directed gene activation cases. MIREyA is available from: https://github.com/veania/MIREyA},
author = {Elizarova, Anna and Ozturk, Mumin and Guler, Reto and Medvedeva, Yulia A},
doi = {10.12688/f1000research.28142.1},
file = {:C$\backslash$:/Users/01462563/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Elizarova et al. - 2021 - MIREyA a computational approach to detect miRNA-directed gene activation version 2 peer review 1 approved, 2 a.pdf:pdf;:C$\backslash$:/Users/01462563/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Elizarova et al. - 2021 - MIREyA a computational approach to detect miRNA-directed gene activation version 2 peer review 1 approved, (2).pdf:pdf},
issn = {2046-1402},
journal = {F1000Research},
keywords = {OA,enhancer,fund{\_}not{\_}ack,macrophage,miRNA,microRNA,non-coding RNA,original,regulator,tuberculosis},
mendeley-tags = {OA,fund{\_}not{\_}ack,original},
month = {mar},
pages = {249},
pmid = {34527215},
publisher = {F1000 Research Limited},
title = {{MIREyA: a computational approach to detect miRNA-directed gene activation [version 2; peer review: 1 approved, 2 approved with reservations]}},
url = {https://f1000research.com/articles/10-249/v1},
volume = {10},
year = {2021}
}

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