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Updated: Jul 3, 2026

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Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast
Published on: September 26, 2025
Optimization of yeast cell cycle analysis and morphological characterization by multispectral imaging flow cytometry
Meredith E K Calvert1, Joanne A Lannigan, Lucy F Pemberton
1Center for Cell Signaling, University of Virginia, Charlottesville, Virginia 22908, USA.
Summary
Multispectral imaging flow cytometry (MIFC) precisely quantifies yeast cell cycle distribution and morphology. This advanced technique offers superior accuracy over traditional methods for analyzing yeast cell cycle regulation and phenotypes.
Area of Science:
- Cell Biology
- Microbiology
- Biophysics
Background:
- Budding yeast Saccharomyces cerevisiae is a key model for eukaryotic cell cycle studies.
- Conventional methods like visual analysis and flow cytometry have limitations in accuracy and scope.
- Accurate cell cycle analysis is crucial for understanding yeast biology and disease.
Purpose of the Study:
- To demonstrate multispectral imaging flow cytometry (MIFC) for precise yeast cell cycle and morphological phenotype quantitation.
- To compare MIFC with traditional visual and flow cytometry methods.
- To investigate the effects of NAP1 gene expression on yeast cell cycle and morphology.
Main Methods:
- Cell cycle analysis of wild-type, nap1Δ, and NAP1-overexpressing yeast.
- Comparison of visual analysis, conventional flow cytometry, and MIFC.
- Quantitative morphological analysis using algorithms for bud length and other features.
Main Results:
- MIFC provided reliable quantification of the yeast cell cycle, surpassing conventional methods.
- Observed G2/M delay and elongated buds in nap1Δ strains, consistent with prior findings.
- NAP1 overexpression led to elongated buds but only minor cell cycle disruption, suggesting independent regulation.
Conclusions:
- MIFC offers a powerful, accurate method for simultaneous cell cycle and morphological profiling in yeast.
- NAP1's impact on cell cycle and morphology appears independent, with varying expression levels yielding distinct phenotypes.
- This technique advances the study of cell cycle regulation and morphological changes in model organisms.

