Mastitis is the most common disease for cattle, causing great economic losses for the global dairy industry. Recent studies indicate the multi-agent and microbiome diversity of this disease. To understand the nature of mastitis and investigate the role of the microbiome in the development of pathologies in the udder of bovines, we performed NGS sequencing of the 16S rRNA gene of cow's milk with pathologies of the udder.
View Article and Find Full Text PDFUlcerative colitis (UC) is an inflammatory disease that affects the colon and rectum. Recently, evidence has emerged about the influence of microbiota on the development of this disease. However, studies on the role of intestinal microbiota in the pathogenesis of UC have been incomplete.
View Article and Find Full Text PDFIn recent years, methylene blue (MB) has attracted considerable interest as a potential drug for the treatment of methemoglobinemia and neurodegenerative diseases. MB is active against microorganisms from various taxonomic groups. However, no studies have yet been conducted on the effect of MB on the intestinal microbiome of model animals.
View Article and Find Full Text PDFMicrobial contamination of dairy products with a high fat content (e.g., butter) has been studied insufficiently.
View Article and Find Full Text PDFBRCA1 and BRCA2 are tumor suppressor genes involved in the repair of DNA damage and transcriptional regulation of the cell cycle. Alterations in BRCA1/2 lead to production of functionally defective proteins that impair DNA repair. Certain mutant variants of BRCA1/2 are strongly associated with increased risk of breast and ovarian cancers, with emerging data on association with other types of cancer.
View Article and Find Full Text PDFBee-collected pollen is an essential protein source for honey bee and bumblebee colonies. Its quality directly affects bee health. We estimated the quality of pollen samples using bumblebee microcolonies and high-throughput sequencing for the presence of microorganisms.
View Article and Find Full Text PDFA whole-transcriptome analysis of gene expression in six samples of clear cell renal cancer was performed. Using bioinformatics methods, we established a relationship between gene expression data and changes in activity of metabolic pathways: in this cancer type, the expression of genes involved in the metabolism of carbohydrates, lipids, and amino acids as well as in energy metabolism changed most significantly.
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