ArticleAIMS biophysics2020
Imaging flow cytometry methods for quantitative analysis of label-free crystalline silica particle interactions with immune cells.
Article in AIMS biophysics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 15 citations in OpenAlex.
- Identifying vascular stiffening-sensitive macrophages through integration of single-cell transcriptomics and imaging flow cytometry.Biophysics reports · 2025Article
- Multiscale Profiling of Nanoscale Metal-Organic Framework Biocompatibility and Immune Interactions.Advanced healthcare materials · 2025Article
- Label-Free Identification of Persistent Particles in Association with Primary Immune Cells by Imaging Flow Cytometry.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Transcriptomic and metabolomic profiling reveal the p53-dependent benzeneacetic acid attenuation of silica-induced epithelial-mesenchymal transition in human bronchial epithelial cells.Cell & bioscience · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Exposure to respirable fractions of crystalline silica quartz dust particles is associated with silicosis, cancer and the development of autoimmune conditions. Early cellular interactions are not well understood, partly due to a lack of suitable technological methods. Improved techniques are needed to better quantify and study high-level respirable crystalline silica exposure in human populations. Techniques that can be applied to complex biological matrices are pivotal to understanding particle-cell interactions and the impact of particles within real, biologically complex environments. In this study, we investigated whether imaging flow cytometry could be used to assess the interactions between cells and crystalline silica when present within complex biological matrices. Using the respirable-size fine quartz crystalline silica dust Min-u-sil® 5, we first validated previous reports that, whilst associating with cells, crystalline silica particles can be detected solely through their differential light scattering profile using conventional flow cytometry. This same property reliably identified crystalline silica in association with primary monocytic cells
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Registered trials
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