ArticleScientific reports2016
A method for detailed analysis of the structure of mast cell secretory granules by negative contrast imaging.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Unraveling the role of amphisomes in mast cell secretory granule fusion and exosome release.Extracellular vesicles and circulating nucleic acids · 2025Article
- LRO biogenesis and function: what can we learn from mast cells?Frontiers in cell and developmental biology · 2025Review
- One-step visualization of natural cell activities in non-labeled living spheroids.Scientific reports · 2022Article
- Sesquiterpene-Loaded Co-Polymer Hybrid Nanoparticle Effects on Human Mast Cell Surface Receptor Expression, Granule Contents, and Degranulation.Nanomaterials (Basel, Switzerland) · 2021Article
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Authors and funding
2 authors.
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Abstract
Secretory granules (SGs) in mast cells contain various molecules that elicit allergy symptoms and are generally considered therapeutic targets. However, the biogenesis, maintenance, regulation, and recycling of these granules remain controversial, mainly due to the lack of suitable live-cell imaging methods. In this study, we applied negative contrast imaging with soluble green fluorescent protein (GFP) expressed in the cytoplasm as a method to validate structural information of mast cell SGs. We evaluated the accuracy of the method in detail, and we demonstrated that it can be used for quantitative analysis. Using this technique, secretory granules, the nucleus, mitochondria, and the cell body were visualized in individual RBL-2H3 mast cells without any influence. When combined with conventional multicolor fluorescence imaging, visualization of SG-associated proteins and SG-SG fusion was achieved. Moreover, 3D images were constructed based on this method, and detailed information on the number, size, and shape of individual SGs was obtained. We found that cell volume was correlated with SG number. In summary, the technique provides valuable and unique data, and will therefore advance SG research.
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