Biotechnology Notes最新文献

Antibiotic resistance is one of the most significant challenges of the 20-s century, and the misuse of antibiotics is a driver of antimicrobial resistance. This study aimed to assess the prevalence of multidrug resistance, and detection of its produce virulence factors, including extended-spectrum β-lactamases (ESβLs), biofilm, and siderophores produced by bacterial species isolated from cancer patients. One hundred and seventy-five Gram-negative bacterial isolates were isolated from different samples collected from cancer patients admitted to the National Cancer Institute (NCI), Cairo, Egypt, and processed by standard microbiological methods. One hundred and forty-three bacterial isolates were recovered from adult patients, and 32 were recovered from children. Escherichia coli showed the highest frequency (36%), followed by Klebsiella pneumonia (30.85%), Acinetobacter baummannii (14.28%), and Pseudomonas sp. (9.14%). Antibiotic profiles revealed that bacterial isolates are highly resistant to the most commonly available antibiotics. Amikacin and gentamicin were the most effective antibiotics against isolated Gram-negative bacteria. Moreover, the vast majority of bacterial stains produce virulence factors, including EsβLs, biofilm, and siderophores. E. coli isolates produced ESβLs with rates of 25.28%, Klebsiella pneumonia (11.0%), and Pseudomonas sp. (25.0%). Among these collected bacterial isolates, 132 (75.4%) have the ability to form a biofilm to different degrees. Also, the majority of the bacteria isolates generated siderophores, with 133 (75.94%). This study revealed that a significant distribution of multidrug-resistant pathogenic bacteria may increase the burden on healthcare to prevent infections in cancer patients.

Organ-on-chip (OOC) technology is an innovative approach that reproduces human organ structures and functions on microfluidic platforms, offering detailed insights into intricate physiological processes. This technology provides unique advantages over conventional in vitro and in vivo models and thus has the potential to become the new standard for biomedical research and drug screening. In this mini-review, we compare OOCs with conventional models, highlighting their differences, and present several applications of OOCs in biomedical research. Additionally, we highlight advancements in OOC technology, particularly in developing multiorgan systems, and discuss the challenges and future directions of this field.

During manufacturing of mammalian-cell derived monoclonal antibodies (mAbs) virus clearance capacity of the downstream process has to be demonstrated. The protein A chromatography step typically achieves less than 4 log₁₀ and is not considered as a major contributing step. Having been successfully applied to host cell protein removal before, we used different wash buffers for three mAbs with two model viruses (Minute virus of mice and Murine leukemia virus) in series as well as separately to further understand major contributing interactions for virus retention and potentially design a generic toolbox of stringent wash buffers to be applied to various mAbs. Results indicate a major relevance of hydrophobic interaction for Murine leukemia virus (xMuLV) and mAb A, based on improved clearance for buffers additionally containing increased levels of hydrophobic compounds. This effect was less pronounced for Minute virus of mice (MVM), whereby hydrogen-bonds were expected to play a stronger role for this model virus. Additionally, electrostatic interactions presumably are more relevant for MVM retention compared to xMuLV under the conditions evaluated. A generic mAb and virus-independent stringent wash buffer toolbox could not be identified. However, based on our results a customized mAb and virus wash buffer design with improved virus clearance is possible, with here demonstrated log reduction increase by 1.3 log₁₀ for MVM and 2.2 log₁₀ for xMuLV for the protein A step compared to equilibration buffer alone.

Fungal endophytes are valuable sources of bioactive compounds with diverse applications. The exploration of these compounds not only contributes to our understanding of ecological interactions but also holds promise for the development of novel products with agricultural, medicinal, and industrial significance. Continued exploration of fungal endophyte diversity and understanding the ecological roles of bioactive compounds present opportunities for new discoveries and applications. Omics techniques, which include genomics, transcriptomics, proteomics, and metabolomics, contribute to the discovery of novel bioactive compounds produced by fungal endophytes with their potential applications. The omics techniques play a critical role in unraveling the complex interactions between fungal endophytes and their host plants, providing valuable insights into the molecular mechanisms and potential applications of these relationships. This review provides an overview of how omics techniques contribute to the study of fungal endophytes.

Biosurfactants, synthesized by microorganisms, hold potential for various industrial and environmental applications due to their surface-active properties and biodegradability. Metabolic and genetic engineering strategies enhance biosurfactant production by modifying microbial pathways and genetics. Strategies include optimizing biosurfactant biosynthesis pathways, expanding substrate utilization, and improving stress responses. Genetic engineering allows customization of biosurfactant characteristics to meet industrial needs. Notable examples include engineering Pseudomonas aeruginosa for enhanced rhamnolipid production and creating synthetic biosurfactant pathways in non-native hosts like Escherichia coli. CRISPR-Cas9 technology offers precise tools for genetic manipulation, enabling targeted gene disruption and promoter optimization to enhance biosurfactant production efficiency. Synthetic promoters enable precise control over biosurfactant gene expression, contributing to pathway optimization across diverse microbial hosts. The future of biosurfactant research includes sustainable bio-processing, customized biosurfactant engineering, and integration of artificial intelligence and systems biology. Advances in genetic and metabolic engineering will enable tailor-made biosurfactants for diverse applications, with potential for industrial-scale production and commercialization. Exploration of untapped microbial diversity may lead to novel biosurfactants with unique properties, expanding the versatility and sustainability of biosurfactant-based solutions.