Constructing maps between distinct cell fates and parametric conditions by systematic perturbations.

ABSTRACT:

Motivation

Cell fate transitions are common in many developmental processes. Therefore, identifying the mechanisms behind them is crucial. Traditionally, due to complexity of networks and existence of plenty of kinetic parameters, dynamical analysis of biomolecular networks can only be performed by simultaneously perturbing a small number of parameters. Although many efforts have focused on how cell states change under specific perturbations, conversely, how to infer parametric conditions underlying distinct cell fates by systematic perturbations is less clear and needs to be further investigated.

Results

In this article, we present a general computational method by integrating systematic perturbations, unsupervised clustering, principal component analysis, and fitting analy

SUBMITTER: Tang R 

PROVIDER: S-EPMC10603594 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature