ArticleScientific reports2023
Variability of fluorescence intensity distribution measured by flow cytometry is influenced by cell size and cell cycle progression.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
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- Estimating particle size and velocity from fluorescence pulses: A practical validation study of flow cytometry signals analysis.PloS one · 2026Article
- Synthesis, characterization, and anticancer evaluation of nano-sized schiff base metal chelates.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025Article
- Proliferating CLL cells express high levels of CXCR4 and CD5.HemaSphere · 2024Article
- Cell sorting based on pulse shapes from angle resolved detection of scattered light.Communications biology · 2024Article
- Raman Flow Cytometry and Its Biomedical Applications.Biosensors · 2024Review
- Uptake Quantification of Antigen Carried by Nanoparticles and Its Impact on Carrier Adjuvanticity Evaluation.Vaccines · 2023Article
- Flow Cytometric Features of B- and T-Lmphocytes in Reactive Lymph Nodes Compared to Their Neoplastic Counterparts in Dogs.Veterinary sciences · 2023Article
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
The distribution of fluorescence signals measured with flow cytometry can be influenced by several factors, including qualitative and quantitative properties of the used fluorochromes, optical properties of the detection system, as well as the variability within the analyzed cell population itself. Most of the single cell samples prepared from in vitrocultures or clinical specimens contain a variable cell cycle component. Cell cycle, together with changes in the cell size, are two of the factors that alter the functional properties of analyzed cells and thus affect the interpretation of obtained results. Here, we describe the association between cell cycle status and cell size, and the variability in the distribution of fluorescence intensity as determined with flow cytometry, at population scale. We show that variability in the distribution of background and specific fluorescence signals is related to the cell cycle state of the selected population, with the 10% low fluorescence signal fraction enriched mainly in cells in their G0/G1 cell cycle phase, and the 10% high fraction containing cells mostly in the G2/M phase. Therefore we advise using caution and additional experimental validation when comparing populations defined by fractions at both ends of fluorescence signal distribution to avoid biases caused by the effect of cell cycle and cell size.
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