Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis.

ABSTRACT:

Motivation

Investigating cell differentiation under a genetic disorder offers the potential for improving current gene therapy strategies. Clonal tracking provides a basis for mathematical modelling of population stem cell dynamics that sustain the blood cell formation, a process known as haematopoiesis. However, many clonal tracking protocols rely on a subset of cell types for the characterization of the stem cell output, and the data generated are subject to measurement errors and noise.

Results

We propose a stochastic framework to infer dynamic models of cell differentiation from clonal tracking data. A state-space formulation combines a stochastic quasi-reaction network, describing cell differentiation, with a Gaussian measurement model accounting for data errors and noi

SUBMITTER: Del Core L 

PROVIDER: S-EPMC10585354 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature