The ongoing SARS-CoV-2 pandemic with over 80 million infections and more than a million deaths worldwide represents the worst global health crisis of the 21th century. Beyond the health crisis, the disruptions caused by the COVID-19 pandemic have serious global socio-economic consequences. It has also placed a significant pressure on the scientific community to understand the virus and its pathophysiology and rapidly provide anti-viral treatments and procedures in order to help the society and stop the virus spread. Here, we outline how advanced microscopy technologies such as high-throughput microscopy and electron microscopy played a major role in rapid response against SARS-CoV-2. General applicability of developed microscopy technologies makes them uniquely positioned to act as the first line of defence against any emerging infection in the future.
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http://dx.doi.org/10.1111/cmi.13319 | DOI Listing |
Nucleic Acids Res
January 2025
Central European Institute of Technology, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic.
Protein synthesis (translation) consumes a substantial proportion of cellular resources, prompting specialized mechanisms to reduce translation under adverse conditions. Ribosome inactivation often involves ribosome-interacting proteins. In both bacteria and eukaryotes, various ribosome-interacting proteins facilitate ribosome dimerization or hibernation, and/or prevent ribosomal subunits from associating, enabling the organisms to adapt to stress.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Kansai Institute for Photon Science, National Institutes for Quantum Science and Technology (QST), 8-1-7 Umemidai, Kizugawa-shi, Kyoto 619-0215, Japan.
Ionizing radiation induces various types of DNA damage, and the reparability and lethal effects of DNA damage differ depending on its spatial density. Elucidating the structure of radiation-induced clustered DNA damage and its repair processes will enhance our understanding of the lethal impact of ionizing radiation and advance progress toward precise therapeutics. Previously, we developed a method to directly visualize DNA damage using atomic force microscopy (AFM) and classified clustered DNA damage into simple base damage clusters (BDCs), complex BDCs and complex double-strand breaks (DSBs).
View Article and Find Full Text PDFJ Biomed Mater Res B Appl Biomater
January 2025
The Laboratory of Orthopaedic Tissue Regeneration & Orthobiologics, Department of Bioengineering, Clemson University, Clemson, South Carolina, USA.
The formation of fibrocartilage in microfracture (MFX) severely limits its long-term outlook. There is consensus in the scientific community that the placement of an appropriate scaffold in the MFX defect site can promote hyaline cartilage formation and improve therapeutic benefit. Accordingly, in this work, a novel natural biomaterial-the cartilage analog (CA)-which met criteria favorable for chondrogenesis, was evaluated in vitro to determine its candidacy as a potential MFX scaffold.
View Article and Find Full Text PDFSmall
January 2025
Nanotechnology and Bio-Engineering Research Group, Atlantic Technological University, ATU Sligo, Ash Lane, Sligo, F91 YW50, Ireland.
The rising demand for efficient energy storage in flexible electronics is driving the search for materials that are well-suited for the fabrication of these devices. Layered Double Hydroxides (LDHs) stand out as a remarkable material with a layered structure that embodies exceptional electrochemical properties. In this study, both double-shelled and single-shelled NiFe-Layered Double Hydroxide (LDH) particles are prepared using spindle-shaped MIL-101(Fe) as the template.
View Article and Find Full Text PDFSmall Methods
January 2025
Dept. Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK.
The integration of Machine Learning (ML) with super-resolution microscopy represents a transformative advancement in biomedical research. Recent advances in ML, particularly deep learning (DL), have significantly enhanced image processing tasks, such as denoising and reconstruction. This review explores the growing potential of automation in super-resolution microscopy, focusing on how DL can enable autonomous imaging tasks.
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