Research Keyword: high-throughput screening

Screening of a Fraction with Higher Amyloid β Aggregation Inhibitory Activity from a Library Containing 210 Mushroom Extracts Using a Microliter-Scale High-Throughput Screening System with Quantum Dot Imaging

Researchers screened 210 mushroom species from Japan to find those that could prevent harmful protein clumping in the brain associated with Alzheimer’s disease. They identified a purified fraction from the mushroom Elfvingia applanata that was more effective than a known anti-Alzheimer’s compound at stopping these protein clumps from forming. The extract also protected nerve cells from damage in laboratory tests. This finding suggests mushrooms could potentially be developed into a functional food to help prevent Alzheimer’s disease.

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High‐Throughput Culture and DNA Isolation Methods for Aspergillus fumigatus

Scientists have developed a faster, cheaper way to grow and extract DNA from Aspergillus fumigatus, a fungus that causes serious infections in sick people. Using 96-well plates (the same format used in many laboratories), researchers can now process many samples at once instead of handling them one by one. The method works well for identifying drug-resistant fungal strains and preparing DNA for genetic analysis.

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Safe Meat, Smart Science: Biotechnology’s Role in Antibiotic Residue Removal

Antibiotics used to treat sick animals can leave residues in meat that contribute to dangerous antibiotic-resistant bacteria affecting human health. This review explores cutting-edge biotechnology solutions like rapid detection sensors, engineered enzymes, and bacterial viruses that can identify and eliminate these harmful residues. When combined with smarter antibiotic use on farms, these technologies offer practical ways to make meat safer and protect public health.

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Fungal β-Glucans Enhance Lactic Acid Bacteria Growth by Shortening Their Lag Phase and Increasing Growth Rate

Researchers tested whether extracts from common edible mushrooms like oyster and shiitake could help beneficial bacteria in the gut grow better. They found that these mushroom extracts, particularly their β-glucan components, helped probiotic bacteria start growing faster and grow more quickly. Importantly, the extracts did not help harmful bacteria grow, making them promising candidates for developing healthier food supplements that support gut health.

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Harnessing the yeast Saccharomyces cerevisiae for the production of fungal secondary metabolites

Scientists have learned to use common baker’s yeast (S. cerevisiae) as a biological factory to produce valuable medicines and compounds that naturally come from fungi and mushrooms. By transferring the genetic instructions for making these compounds into yeast cells and improving them with genetic engineering, researchers can now produce therapeutically important substances like cancer-fighting drugs and antibiotics in large quantities. This approach is more practical and cost-effective than trying to extract these rare compounds directly from their native fungal sources or using other production methods.

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Amorphophallus konjac: traditional uses, bioactive potential, and emerging health applications

Konjac is a plant used in Asian cuisine and traditional medicine for thousands of years that contains a special fiber called glucomannan. This fiber can help with weight loss, blood sugar control, and cholesterol reduction while also supporting a healthy gut and reducing inflammation. Modern research shows promising potential for using konjac to help prevent serious diseases like colorectal cancer and manage conditions like diabetes and inflammatory bowel disease.

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Emerging paradigms for target discovery of traditional medicines: A genome-wide pan-GPCR perspective

Traditional medicines from plants, animals, and fungi contain chemical compounds that can interact with specific proteins in our cells called G protein-coupled receptors (GPCRs). These receptors control many important body functions and are targeted by about one-third of all FDA-approved medications. This review explains how scientists are discovering new therapeutic compounds from traditional medicines by systematically screening them against the complete library of human GPCRs, using advanced techniques to identify which compounds bind to which receptors. Famous examples include morphine from poppies for pain relief and compounds from ginseng that help regulate blood sugar.

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Miniaturized high-throughput conversion of fungal strain collections into chemically characterized extract libraries for antimicrobial discovery

Scientists developed a fast, automated method called FLECS-96 to screen hundreds of fungal species for antimicrobial compounds in a small 96-well plate format. The method combines fungal culture, chemical extraction, and analysis to identify promising candidates against resistant bacteria like Staphylococcus aureus. The team successfully identified two bioactive compounds from the fungi tested. This innovation could significantly speed up the discovery of new antibiotics to combat antibiotic-resistant infections.

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A Method to Inoculate Millet Grain-Colonized Fusarium pseudograminearum on Wheat to Obtain Reproducible Disease Symptoms

Researchers developed a reliable laboratory method to test wheat varieties for their ability to resist a serious fungal disease called crown rot caused by Fusarium pseudograminearum. Using millet grains colonized with the fungus as an inoculum, they can now consistently and quickly identify which wheat varieties are naturally resistant to the disease. This standardized method helps plant breeders efficiently select resistant wheat cultivars, reducing the need for chemical pesticides.

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A novel pan-fungal screening platform for antifungal drug discovery: proof of principle study

Researchers developed a faster, more efficient screening method to test potential antifungal drugs against multiple disease-causing fungi simultaneously. Using an improved growth medium and screening 500 chemical fragments, they identified compounds with antifungal activity and demonstrated the platform can reliably detect promising drug candidates. This approach could accelerate the discovery of new antifungal medications, which are urgently needed as fungi develop resistance to current treatments.

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