Research Keyword: systems biology

Prognostic model for gastric cancer patients with COVID-19 and network pharmacology study on treatment by lentinan

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This study investigated how lentinan, a compound from shiitake mushrooms, might help treat patients who have both gastric cancer and COVID-19. Researchers identified five genes that predict patient outcomes and found that lentinan may work by controlling immune cell activity and reducing inflammation. The study suggests lentinan could be a useful additional treatment for this challenging combination of diseases, though more research is needed.

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Unveiling new features of the human pathogen Cryptococcus neoformans through the reconstruction and exploitation of a dedicated genome-scale metabolic model

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Scientists have created a detailed computer model of how the dangerous fungus Cryptococcus neoformans works at the metabolic level. By studying 890 genes and thousands of chemical reactions in this pathogen, they identified new weak points that could be targeted with future antifungal drugs. The model reveals why this fungus is particularly good at causing brain infections and shows several unique metabolic features not found in other pathogenic yeasts, offering hope for more effective treatments.

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Uncovering the transcriptional landscape of Fomes fomentarius during fungal-based material production through gene co-expression network analysis

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Scientists studied how the mushroom Fomes fomentarius decomposes plant materials and grows as a biomaterial for making sustainable products. Using advanced gene analysis, they discovered which genes control the fungus’s ability to break down wood and form composites, and identified key genetic switches that could be used to improve material production. This research provides a blueprint for engineering better fungal-based alternatives to conventional construction and packaging materials.

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