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A Method for Lineage Tracing of Corneal Cells Using Multi-color Fluorescent Reporter Mice
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Methods for analysing lineage tracing datasets.

Vasiliki Kostiou1, Huairen Zhang2, Michael W J Hall2,3

  • 1Department of Medical Physics and Biomedical Engineering, UCL, Gower Street, London WC1E 6BT, UK.

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|May 26, 2021
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Summary
This summary is machine-generated.

Analyzing progenitor cell dynamics in epithelial tissues requires complex mathematical modeling. An approximate Bayesian computation approach offers an efficient and accurate method for parameter estimation in transgenic mouse cell tracking studies.

Keywords:
ageingprecancersquamous epitheliastatistical approachestissue homeostasis

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Area of Science:

  • Stem cell biology
  • Mathematical modeling
  • Computational biology

Background:

  • A single progenitor cell population sustains many epithelial tissues.
  • Transgenic mouse cell tracking is used to study competing clone dynamics.
  • The 'single-progenitor model' describes these dynamics but requires complex parameter derivation.

Purpose of the Study:

  • To compare alternative strategies for analyzing transgenic mouse cell tracking data.
  • To identify the most efficient and accurate method for parameter estimation.
  • To provide recommendations for future experimental design in progenitor cell studies.

Main Methods:

  • Comparison of various data analysis strategies for progenitor cell dynamics.
  • Implementation of an approximate Bayesian computation (ABC) approach.
  • Explicit modeling of biological variation and different sampling regimes.

Main Results:

  • The approximate Bayesian computation (ABC) approach is identified as the most efficient and accurate method.
  • ABC provides appropriate error estimation for model parameters.
  • The study validates findings by modeling biological variation and sampling impacts.

Conclusions:

  • The approximate Bayesian computation (ABC) method is recommended for analyzing progenitor cell dynamics from transgenic mouse cell tracking data.
  • This approach improves efficiency and error estimation in parameter derivation.
  • The study offers practical workflows and recommendations for experimental design.