Monique Honsa, Isabelle Pachmayr, Larissa Heinze, Levent Bas, Luciano A Masullo, Jisoo Kwon, Ana Perovic, Brenda Schulman, Ralf Jungmann
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引用次数: 0
Abstract
Ligand-receptor interactions are critical for cell communication, with membrane receptors such as the Epidermal Growth Factor Receptor (EGFR) mediating responses to external signals. Super-resolution microscopy techniques in principle allow the visualization of these interactions at single-molecule resolution. While DNA-Points Accumulation for Imaging in Nanoscale Topography (DNA-PAINT) super-resolution microscopy has been successfully used to image receptors, specific labeling of cognate ligands, such as EGF, with DNA has remained challenging. Here, an approach to label and image the small extracellular ligand EGF using site-specific tagging and DNA modification is presented. Functional, site-specifically tagged EGF constructs, including DNA-conjugated and ALFA-tagged EGF, are generated. When compared to the native ligand, only the ALFA-tagged EGF maintains full functionality such as efficient EGFR clustering and internalization, while the DNA-conjugated EGF exhibits reduced EGFR oligomerization. 3D DNA-PAINT imaging of the ALFA-tagged EGF, when bound to EGFR, reveals spatial arrangements of EGF-EGFR complexes and captures different stages of receptor internalization. The labeling approach enables precise visualization of ligand-receptor interactions at high resolution and, in principle, can be extended to other ligand-receptor systems.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.