0000000000040328

AUTHOR

Panayiotis V. Benos

0000-0003-3172-3132

showing 2 related works from this author

miR-1207-5p Can Contribute to Dysregulation of Inflammatory Response in COVID-19 via Targeting SARS-CoV-2 RNA

2020

The present study focuses on the role of human miRNAs in SARS-CoV-2 infection. An extensive analysis of human miRNA binding sites on the viral genome led to the identification of miR-1207-5p as potential regulator of the viral Spike protein. It is known that exogenous RNA can compete for miRNA targets of endogenous mRNAs leading to their overexpression. Our results suggest that SARS-CoV-2 virus can act as an exogenous competing RNA, facilitating the over-expression of its endogenous targets. Transcriptomic analysis of human alveolar and bronchial epithelial cells confirmed that the CSF1 gene, a known target of miR-1207-5p, is over-expressed following SARS-CoV-2 infection. CSF1 enhances macr…

0301 basic medicineMicrobiology (medical)030106 microbiologyImmunologylcsh:QR1-502miRNA target predictionInflammationMiRNA bindingEndogenyBiologyMicrobiologylcsh:MicrobiologyVirusTranscriptome03 medical and health sciencesmacrophage recruitmentmicroRNAmedicinecompeting RNAsGenemicroRNA regulatory networkSARS-CoV-2fungiRNAinflammatory responseCell biology030104 developmental biologyInfectious Diseasesmedicine.symptomFrontiers in Cellular and Infection Microbiology
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An improvement of ComiR algorithm for microRNA target prediction by exploiting coding region sequences of mRNAs

2020

AbstractMicroRNA are small non-coding RNAs that post-transcriptionally regulate the expression levels of messenger RNAs. MicroRNA regulation activity depends on the recognition of binding sites located on mRNA molecules. ComiR is a web tool realized to predict the targets of a set of microRNAs, starting from their expression profile. ComiR was trained with the information regarding binding sites in the 3’utr region, by using a reliable dataset containing the targets of endogenously expressed microRNA in D. melanogaster S2 cells. This dataset was obtained by comparing the results from two different experimental approaches, i.e., inhibition, and immunoprecipitation of the AGO1 protein--a comp…

AGO1ImmunoprecipitationComputer sciencelcsh:Computer applications to medicine. Medical informaticsBiochemistryOpen Reading Frames03 medical and health sciences0302 clinical medicineStructural BiologymicroRNAMelanogasterAnimalsHumansCoding regionGene silencing3'UTRRNA MessengerBinding sitelcsh:QH301-705.5Molecular Biology030304 developmental biology0303 health sciencesMessenger RNAbiologyThree prime untranslated regionResearchApplied MathematicsmicroRNA target predictionbiology.organism_classificationComputer Science Applications3’UTRMicroRNAsDrosophila melanogasterlcsh:Biology (General)Coding regionlcsh:R858-859.7DNA microarrayDrosophila melanogasterAlgorithmAlgorithms030217 neurology & neurosurgeryBMC Bioinformatics
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