STOCHASTIC MODELING OF HEMATOPOIETIC STEM CELL DYNAMICS.

ABSTRACT: The study of hematopoietic stem cell (HSCs) maintenance and differentiation to supply the hematopoietic system presents unique challenges, given the complex regulation of the process and the difficulty in observing cellular interactions in the stem cell niche. Quantitative methods and tools have emerged as valuable mechanisms to address this issue; however, the stochasticity of HSCs presents significant challenges for mathematical modeling, especially when bridging the gap between theoretical models and experimental validation. In this work, we have built a flexible and user-friendly stochastic dynamical and spatial model for long-term HSCs (LT-HSCs) and short-term HSCs (ST-HSCs) that captures experimentally observed cellular variability and heterogeneity. Our model implements the behavior

SUBMITTER: Alfaro-Quinde C 

PROVIDER: S-EPMC11838373 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature