ArticleCurrent protocols in cytometry2017
High-Throughput Particle Uptake Analysis by Imaging Flow Cytometry.
Article in Current protocols in cytometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- C1q drives neural stem cell quiescence by regulating cell cycle and metabolism through BAI1.Nature communications · 2025Article
- A Semi-Automated Imaging Flow Cytometry Workflow for High-Throughput Quantification of Compound Internalization with IDEAS and FluoSta Software.Methods and protocols · 2025Article
- Article
- Quantitative Analysis of Latex Beads Phagocytosis by Human Macrophages Using Imaging Flow Cytometry with Extended Depth of Field (EDF).Methods in molecular biology (Clifton, N.J.) · 2023Article
- The Application of Imaging Flow Cytometry for Characterisation and Quantification of Bacterial Phenotypes.Frontiers in cellular and infection microbiology · 2021Article
- Using Imaging Flow Cytometry to Quantify Neutrophil Phagocytosis.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Quantifying Carcinoembryonic Antigen-like Cell Adhesion Molecule-Targeted Liposome Delivery Using Imaging Flow Cytometry.Molecular pharmaceutics · 2019Article
- Protocols to Interrogate the Interactions Between Neisseria gonorrhoeae and Primary Human Neutrophils.Methods in molecular biology (Clifton, N.J.) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Quantifying the efficiency of particle uptake by host cells is important in the fields of infectious diseases, autoimmunity, cancer, developmental biology, and drug delivery. Here we present a protocol for high-throughput analysis of particle uptake by imaging flow cytometry, using the bacterium Neisseria gonorrhoeae attached to and internalized by neutrophils as an example. Cells are exposed to fluorescently labeled bacteria, fixed, and stained with a bacteria-specific antibody of a different fluorophore. Thus, in the absence of a permeabilizing agent, extracellular bacteria are double-labeled with two fluorophores while intracellular bacteria remain single-labeled. A spot count algorithm is used to determine the number of single- and double-labeled bacteria in individual cells, to calculate the percent of cells associated with bacteria, percent of cells with internalized bacteria, and percent of cell-associated bacteria that are internalized. These analyses quantify bacterial association and internalization across thousands of cells and can be applied to diverse experimental systems. © 2017 by John Wiley & Sons, Inc.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.