Does the diverse source of miRNAs affect human health? An approach towards diagnosis and therapeutic management

Mohanty, Jatindra Nath; Sahoo, Swayamprabha; Routray, Sweta Padma; Bhuyan, Ruchi

doi:10.1016/j.genrep.2022.101656

Cited by 1 publication

(1 citation statement)

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“…It has a lot of advantages for expression profiling, and it may generate huge data, which requires a series of analyses to make it understandable. [19][20][21] Microarray data must be correctly analyzed to obtain the optimum result. Computational analysis is essential for processing the data from large-scale expression profiling experiments and establish-ing the framework for biological understanding.…”

Section: Introductionmentioning

confidence: 99%

Identification and Exploration of Transcripts Involved in Antibiotic Resistance Mechanism of Two Critical Superbugs

Sahoo,

Mohanty,

Routray

et al. 2024

Gene Expr

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Background and objectives: Infectious diseases caused by pathogenic strains of bacteria are a global cause of morbidity and mortality. Hospital-acquired infections caused by Klebsiella pneumonia and Pseudomonas aeruginosa were found vulnerable during the COVID-19 pandemic. They are also responsible for the onset of certain life-threatening infectious diseases such as cystic fibrosis, endocarditis, bacteremia, and sepsis. Looking into the importance of these two superbugs there is a strong need for extensive comparative differential gene expression analysis among the wild-type and mutant for betterment of intensive care unit patients especially as such pathogenic bacterial strains have a dangerous role in the intensive care unit.Methods: This study revealed the RNA microarray gene expression profiles of GSE24688, GSE4026, and GSE117438. The study compared all genes from three different datasets and all drug resistance genes from two divergent organisms, Klebsiella pneumonia and Pseudomonas aeruginosa.Results: 10 numbers of shared significant genes and five drug resistance genes were obtained in this study. These putative genes may show intriguing patterns of connection with resistance mechanisms and can be used in the field of diagnostics and treatment. Our divergent analysis also revealed a very clear distinct relation between Klebsiella pneumoniae and Pseudomonas aeruginosa at the genetic level, though they both function under antimicrobial resistance. Conclusions:This study enhances the understanding of the genetic basis, providing valuable knowledge for the development of new strategies to combat antibiotic resistance and enhance the efficacy of existing antibiotics.

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Section: Introductionmentioning

confidence: 99%