MicroRNA-877-5p Inhibits Cell Progression by Targeting FOXM1 in Lung Cancer

Liu, Zhiguang; Wang, Xinlian; Cao, Liqiang; Xu, Yin; Zhang, Qian; Wang, Lan

doi:10.1155/2022/4256172

Cited by 2 publications

(1 citation statement)

References 43 publications

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“…There is prior precedent for the study of miR-877-5p as a therapeutic agent. For example, miR-877-5p has been shown by several research groups to inhibit hepatocellular, prostate, lung, and gastric cancers (63)(64)(65)(66). Furthermore, miR-877-5p has also been demonstrated to alleviate Acute Respiratory Distress Syndrome (ARDS) both in-vitro and in-vivo (67).…”

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confidence: 99%

Rocket-miR, a Translational Launchpad for miRNA-based Antimicrobial Drug Development

Neff¹,

Hampton²,

Koeppen³

et al. 2023

Preprint

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Developing software tools that leverage biological datasets to accelerate drug discovery is an important aspect of bioinformatics research. Here we present a novel example: a web application called Rocket-miR that applies an existing bioinformatics algorithm (IntaRNA) to predict cross-species miRNA-mRNA interactions and identify human miRNAs with potential antimicrobial activity against antibiotic resistant bacterial infections. Rocket-miR is the logical extension of our prior finding that human miRNA let-7b-5p impairs the ability of the ubiquitous opportunistic pathogen P. aeruginosa to form biofilms and resist the bactericidal effect of beta lactam antibiotics. Rocket-miR's point and click interface enables researchers without programming expertise to predict additional human-miRNA-pathogen interactions. Identified miRNAs can be developed into novel antimicrobials effective against the 24 clinically relevant pathogens, implicated in diseases of the lung, gut and other organs, that are included in the application. The manuscript incorporates three case studies contributed by microbiologists that study human pathogens to demonstrate the usefulness and usability of the application. Rocket-miR is accessible at the following link: http://scangeo.dartmouth.edu/RocketmiR/.

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mentioning

confidence: 99%

Rocket-miR, a Translational Launchpad for miRNA-based Antimicrobial Drug Development

Neff¹,

Hampton²,

Koeppen³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Rocket-miR, a translational launchpad for miRNA-based antimicrobial drug development

Neff,

Hampton,

Koeppen

et al. 2023

mSystems

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Developing software tools that leverage biological data sets to accelerate drug discovery is an important aspect of bioinformatic research. Here, we present a novel example: a web application called Rocket-miR that applies an existing bioinformatic algorithm (IntaRNA) to predict cross-species miRNA-mRNA interactions and identify human miRNAs with potential antimicrobial activity against antibiotic-resistant bacterial infections. Rocket-miR is the logical extension of our prior finding that human miRNA let-7b-5p impairs the ability of the ubiquitous opportunistic pathogen Pseudomonas aeruginosa to form biofilms and resist the bactericidal effect of β-lactam antibiotics. Rocket-miR’s point and click interface enables researchers without programming expertise to predict additional human-miRNA-pathogen interactions. Identified miRNAs can be developed into novel antimicrobials effective against the 24 clinically relevant pathogens, implicated in diseases of the lung, gut, and other organs, that are included in the application. The paper incorporates three case studies contributed by microbiologists that study human pathogens to demonstrate the usefulness and usability of the application. Rocket-miR is accessible at the following link: http://scangeo.dartmouth.edu/RocketmiR/ . IMPORTANCE Antimicrobial-resistant infections contribute to millions of deaths worldwide every year. In particular, the group of bacteria collectively known as ESKAPE ( Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter sp . ) pathogens are of considerable medical concern due to their virulence and exceptional ability to develop antibiotic resistance. New kinds of antimicrobial therapies are urgently needed to treat patients for whom existing antibiotics are ineffective. The Rocket-miR application predicts targets of human miRNAs in bacterial and fungal pathogens, rapidly identifying candidate miRNA-based antimicrobials. The application’s target audience are microbiologists that have the laboratory resources to test the application’s predictions. The Rocket-miR application currently supports 24 recognized human pathogens that are relevant to numerous diseases including cystic fibrosis, chronic obstructive pulmonary disease (COPD), urinary tract infections, and pneumonia. Furthermore, the application code was designed to be easily extendible to other human pathogens that commonly cause hospital-acquired infections.

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MicroRNA-877-5p Inhibits Cell Progression by Targeting FOXM1 in Lung Cancer

Cited by 2 publications

References 43 publications

Rocket-miR, a Translational Launchpad for miRNA-based Antimicrobial Drug Development

Rocket-miR, a Translational Launchpad for miRNA-based Antimicrobial Drug Development

Rocket-miR, a translational launchpad for miRNA-based antimicrobial drug development

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