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Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
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Memoria no lineal en la dinámica de división celular entre especies

Shijie Zhang1, Chenyi Fei1, Jörn Dunkel1

  • 1Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139.

Proceedings of the National Academy of Sciences of the United States of America
|September 3, 2025
PubMed
Resumen
Este resumen es generado por máquina.

El control del tamaño celular es clave para la homeostasis. Los nuevos modelos revelan que la división celular a menudo depende de una memoria compleja y no lineal, desafiando los modelos lineales existentes en bacterias y levaduras.

Palabras clave:
Inferencia Bayesianadivisión celularmemoria celularDinámica estocástica

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Área de la Ciencia:

  • Biología cuantitativa
  • Biología celular
  • Sistemas dinámicos

Sus antecedentes:

  • La homeostasis del tamaño celular es crucial para la función celular y se basa en el crecimiento y la división regulados.
  • Las imágenes avanzadas (por ejemplo, máquinas madre) permiten rastrear la dinámica del tamaño celular a través de generaciones.
  • La comprensión actual de los mecanismos de control del tamaño de la célula dentro de un marco de sistemas dinámicos es limitada.

Objetivo del estudio:

  • Desarrollar y aplicar un nuevo marco para inferir modelos de ecuaciones diferenciales estocásticas de crecimiento y división celular.
  • Investigar el papel de los efectos de la memoria no lineal en el tiempo de división celular.
  • Para evaluar cuantitativamente los modelos de homeostasis celular prevalecientes (medidor, agregador y temporizador).

Principales métodos:

  • Inferencia de modelos de ecuaciones diferenciales estocásticas con ruido de Poisson a partir de datos de series temporales experimentales.
  • Parametrización de la intensidad de Poisson que incorpora el tamaño de la célula y la historia ancestral para capturar la memoria no lineal.
  • Aplicación del marco a las trayectorias de tamaño celular de Escherichia coli, Bacillus subtilis, Schizosaccharomyces pombe y Dictyostelium discoideum.

Principales resultados:

  • El marco desarrollado deduce con éxito modelos cuantitativos de crecimiento y división celular estocástica.
  • El análisis reveló que el tiempo de división celular en múltiples organismos a menudo implica componentes de memoria no lineales significativos.
  • Se encontró que los populares modelos de memoria lineal (medidor, agregador, temporizador) eran insuficientes en muchos casos.

Conclusiones:

  • Los paradigmas de memoria lineal existentes para la homeostasis celular pueden necesitar reevaluación y generalización.
  • La memoria no lineal juega un papel sustancial en la regulación de la división celular en diversas especies.
  • El marco de inferencia es ampliamente aplicable para modelar procesos de salto estocástico en varios campos científicos.