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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Isolation and Activation of Murine Lymphocytes
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Quantifying CFSE Label Decay in Flow Cytometry Data.

H T Banks1, A Choi, T Huffman

  • 1Center for Research in Scientific Computation, Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC.

Applied Mathematics Letters
|March 26, 2013
PubMed
Summary
This summary is machine-generated.

We created models to understand label decay in cell proliferation assays using carboxyfluorescein succinimidyl ester (CFSE) dye. These models, validated with patient data, explain multiple decay rates using logistic and Gompertz functions.

Keywords:
Akiake InformationGompertz growthMichaelis-Menten kineticscarboxyfluorescein succinimidyl ester (CFSE)exponential decayinverse problemslogistic growthordinary differential equation models

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Area of Science:

  • Cell biology
  • Biophysics
  • Mathematical modeling

Background:

  • Cell proliferation assays are crucial for studying cell division and growth.
  • Carboxyfluorescein succinimidyl ester (CFSE) is a widely used intracellular dye for tracking cell division.
  • Understanding label decay kinetics is essential for accurate proliferation analysis.

Purpose of the Study:

  • To develop and validate mathematical models for CFSE label decay in cell proliferation assays.
  • To characterize and explain the multiple decay rates observed in CFSE-stained cells.
  • To compare the performance of different time-dependent decay models.

Main Methods:

  • Development of a series of mathematical models for label decay.
  • Utilizing data from cell proliferation assays with CFSE staining.
  • Validation of models using data from two healthy patients.
  • Comparison of models using the Akaike Information Criteria (AIC).
  • Application of time-dependent decay models, including logistic and Gompertz models.

Main Results:

  • Successfully developed models that accurately represent CFSE label decay.
  • Identified and characterized multiple distinct decay rates within the assay data.
  • Demonstrated that logistic and Gompertz models effectively explain the observed decay patterns.
  • Validated model performance using patient-derived experimental data.

Conclusions:

  • The developed models provide a robust framework for analyzing CFSE label decay.
  • Time-dependent models like logistic and Gompertz are suitable for describing complex decay kinetics.
  • Accurate modeling of label decay enhances the reliability of cell proliferation assay results.