Unknown

Dataset Information

0

Tmprss2 specific miRNAs as promising regulators for SARS-CoV-2 entry checkpoint.


ABSTRACT: Tmprss2 is an emerging molecular target which guides cellular infections of SARS-CoV-2, has been earmarked for interventions against the viral pathologies. The study aims to computationally screen and identifies potential miRNAs, following in vitro experimental validation of miRNA-mediated suppression of Tmprss2 for early prevention of COVID-19. Pool of 163 miRNAs, scrutinized for Tmprss2 binding with three miRNA prediction algorithms, ensued 11 common miRNAs. Further, computational negative energies for association, corroborated miRNA-Tmprss2 interactions, whereas three miRNAs (hsa-miR-214, hsa-miR-98 and hsa-miR-32) based on probability scores ?0.8 and accessibility to Tmprss2 target have been selected in the Sfold tool. Transfection of miRNA(s) in the Caco-2 cells, quantitatively estimated differential expression, confirming silencing of Tmprss2 with maximum gene suppression by hsa-miR-32 employing novel promising role in CoV-2 pathogenesis. The exalted binding of miRNAs to Tmprss2 and suppression of later advocates their utility as molecular tools for prevention of SARS-CoV-2 viral transmission and replication in humans.

SUBMITTER: Kaur T 

PROVIDER: S-EPMC7833564 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Tmprss2 specific miRNAs as promising regulators for SARS-CoV-2 entry checkpoint.

Kaur Taruneet T   Kapila Suman S   Kapila Rajeev R   Kumar Sandeep S   Upadhyay Divya D   Kaur Manjeet M   Sharma Chandresh C  

Virus research 20210108


Tmprss2 is an emerging molecular target which guides cellular infections of SARS-CoV-2, has been earmarked for interventions against the viral pathologies. The study aims to computationally screen and identifies potential miRNAs, following in vitro experimental validation of miRNA-mediated suppression of Tmprss2 for early prevention of COVID-19. Pool of 163 miRNAs, scrutinized for Tmprss2 binding with three miRNA prediction algorithms, ensued 11 common miRNAs. Further, computational negative ene  ...[more]

Similar Datasets

| S-SCDT-EMBOJ-2021-107821 | biostudies-other
2020-11-30 | GSE159576 | GEO
| S-EPMC7845965 | biostudies-literature
| S-EPMC8546705 | biostudies-literature
| S-EPMC8365257 | biostudies-literature
| S-EPMC7589079 | biostudies-literature
| S-EPMC7817128 | biostudies-literature
| S-EPMC8691651 | biostudies-literature
| S-EPMC8060391 | biostudies-literature