All cells are decorated with complex carbohydrate structures called glycans that serve as ligands for glycan-binding proteins (GBPs) to mediate a wide range of biological processes. Understanding the specific functions of glycans is key to advancing an understanding of human health and disease. However, the lack of convenient and accessible tools to study glycan-based interactions has been a defining challenge in glycobiology. Thus, the development of chemical and biochemical strategies to address these limitations has been a rapidly growing area of research. In this review, we describe the use of glycosyltransferases (GTs) as versatile tools to facilitate a greater understanding of the biological roles of glycans. We highlight key examples of how GTs have streamlined the preparation of well-defined complex glycan structures through chemoenzymatic synthesis, with an emphasis on synthetic strategies allowing for site- and branch-specific display of glyco-epitopes. We also describe how GTs have facilitated expansion of glyco-engineering strategies, on both glycoproteins and cell surfaces. Coupled with advancements in bioorthogonal chemistry, GTs have enabled selective glyco-epitope editing of glycoproteins and cells, selective glycan subclass labeling, and the introduction of novel biomolecule functionalities onto cells, including defined oligosaccharides, antibodies, and other proteins. Collectively, these approaches have contributed great insight into the fundamental biological roles of glycans and are enabling their application in drug development and cellular therapies, leaving the field poised for rapid expansion.
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http://dx.doi.org/10.1093/glycob/cwad092 | DOI Listing |
Large serine integrases (LSIs) catalyze unidirectional site-specific DNA recombination reactions, yet those reactions are reversed by the presence of a cognate recombination directionality factor (RDF). Mechanistic understanding of directionality control has been hampered by a lack of structural information. Here, we use cryo-electron microscopy (cryo-EM) to determine the structures of six SPbeta integrase-DNA complexes along the integrative (-RDF) and excisive (+RDF) reaction pathways, at 4.
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Department of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou, 310003, China. Electronic address:
Background: Amplified imaging of microRNA (miRNA) in cancer cells is essential for understanding of the underlying pathological process. Synthetic catalytic DNA circuits represent pivotal tools for miRNA imaging. However, most existing catalytic DNA circuits can not achieve the reactant recycling operation in cells and in vivo.
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Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil; Instituto Nacional de Ciência e Tecnologia de Bioanalítica, Campinas, 13084-971, SP, Brazil. Electronic address:
Background: Distinct classes of environmental contaminants - such as microplastics, volatile organic compounds, inorganic gases, hormones, pesticides/herbicides, and heavy metals - have been continuously released into the environment from different sources. Anthropogenic activities with unprecedented consequences have impacted soil, surface waters, and the atmosphere. In this scenario, developing sensing materials and analytical platforms for monitoring water and air quality is essential to supporting worldwide environmental control agencies.
View Article and Find Full Text PDFBMB Rep
January 2025
Department of Physics, Division of Interdisciplinary Bioscience & Bioengineering, POSTECH, Pohang 37673, Republic of Korea.
In the last few decades, single-molecule techniques have emerged as transformative tools for exploring biological problems. By observing and analyzing individual molecules, these methods make it possible to investigate fundamental dynamics of biomolecular processes deeper. Unlike traditional ensemble methods that average the behavior of populations, single-molecule approaches provide a unique window to observe molecular heterogeneity, transient interactions, and dynamic processes that are otherwise hidden.
View Article and Find Full Text PDFJ Comput Chem
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Departmento de Química, Facultad de Ciencias, Universidad de Tarapacá, Arica, Chile.
Data analysis is a major task for Computational Chemists. The diversity of modeling tools currently available in Computational Chemistry requires the development of flexible analysis tools that can adapt to different systems and output formats. As a contribution to this need, we report the implementation of goChem, a versatile open-source library for multiscale analysis of computational chemistry data.
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