Publications by authors named "Magdalena Mos"

Infections caused by species are becoming seriously dangerous and difficult to cure due to their sophisticated mechanisms of resistance. The host organism defends itself from the invader, e.g.

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The increasing number of antibiotic-resistant pathogens has become one of the foremost health problems of modern times. One of the most lethal and multidrug-resistant bacteria is (Mtb), which causes tuberculosis (TB). TB continues to engulf health systems due to the significant development of bacterial multidrug-resistant strains.

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Combination with redox modulators can potentiate the anticancer activity and maximize the selectivity of organometallic complexes with redox-based mechanisms of action. We show that nontoxic doses of l-buthionine sulfoximine increase the selectivity of organo-Os complex FY26 for human ovarian cancer cells versus normal lung fibroblasts to 63-fold. This increase is not due to changes in the mechanism of action of FY26 but to the decreased response of cancer cells to oxidative stress.

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The detection and amplification of extracellular signals requires the involvement of multiple protein components. In mammalian cells the receptor of activated C kinase (RACK1) is an important scaffolding protein for signal transduction networks. Further, it also performs a critical function in regulating the cell cycle by modulating the G1/S transition.

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In Fusarium fujikuroi, bikaverin (BIK) biosynthesis is subject to repression by nitrogen. Unlike most genes subject to nitrogen metabolite repression, it has been shown that transcription of bik biosynthetic genes is not AreA dependent. Searching for additional transcription factors that may be involved in nitrogen regulation, we cloned and characterized the orthologue of Aspergillus nidulans meaB, which encodes a bZIP transcription factor.

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The identification and annotation of protein-coding genes is one of the primary goals of whole-genome sequencing projects, and the accuracy of predicting the primary protein products of gene expression is vital to the interpretation of the available data and the design of downstream functional applications. Nevertheless, the comprehensive annotation of eukaryotic genomes remains a considerable challenge. Many genomes submitted to public databases, including those of major model organisms, contain significant numbers of wrong and incomplete gene predictions.

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