Decoding the principle of cell-fate determination for its reverse control.
NPJ Syst Biol Appl
; 10(1): 47, 2024 May 06.
Article
en En
| MEDLINE
| ID: mdl-38710700
ABSTRACT
Understanding and manipulating cell fate determination is pivotal in biology. Cell fate is determined by intricate and nonlinear interactions among molecules, making mathematical model-based quantitative analysis indispensable for its elucidation. Nevertheless, obtaining the essential dynamic experimental data for model development has been a significant obstacle. However, recent advancements in large-scale omics data technology are providing the necessary foundation for developing such models. Based on accumulated experimental evidence, we can postulate that cell fate is governed by a limited number of core regulatory circuits. Following this concept, we present a conceptual control framework that leverages single-cell RNA-seq data for dynamic molecular regulatory network modeling, aiming to identify and manipulate core regulatory circuits and their master regulators to drive desired cellular state transitions. We illustrate the proposed framework by applying it to the reversion of lung cancer cell states, although it is more broadly applicable to understanding and controlling a wide range of cell-fate determination processes.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Redes Reguladoras de Genes
/
Análisis de la Célula Individual
Límite:
Humans
Idioma:
En
Revista:
NPJ Syst Biol Appl
Año:
2024
Tipo del documento:
Article
Pais de publicación:
Reino Unido