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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
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Video Experimental Relacionado

Updated: Feb 13, 2026

Automated Separation of C. elegans Variably Colonized by a Bacterial Pathogen
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Revelando las variables ocultas en las bacterias estresadas.

Divya Choudhary1, Maxence S Vincent2

  • 1Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.

Cell reports
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PubMed
Resumen

Las respuestas al estrés bacteriano exhiben una heterogeneidad fenotípica. La aparente aleatoriedad en el comportamiento celular a menudo se debe a factores no medidos, no solo a eventos estocásticos, que permiten resultados predecibles.

Palabras clave:
Respuestas al estrés bacteriano respuestas al estrés bacteriano.CP: microbiología.adaptación bacteriana de la adaptación bacteriana.El estado celular de la célula.Regulación genética regulación de los genes.Las variables ocultas son las variables ocultas.Aprendizaje automático Aprendizaje automático.El microambiente es el microambiente.los microfluidos de los microfluidos.heterogeneidad fenotípica.Análisis de una sola célula.

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Área de la Ciencia:

  • Microbiología Microbiología.
  • Biología de Sistemas Biología de Sistemas.
  • Genética La genética.

Sus antecedentes:

  • La heterogeneidad fenotípica es una característica clave de las respuestas bacterianas al estrés.
  • Esta variabilidad se ha atribuido tradicionalmente a eventos moleculares estocásticos, vistos como ruido irreductible.
  • Esta perspectiva limita la comprensión y las capacidades predictivas del comportamiento bacteriano.

Objetivo del estudio:

  • Para replantear la heterogeneidad fenotípica en las respuestas al estrés bacteriano.
  • Para resaltar los factores deterministas que subyacen a la estocasticidad aparente.
  • Avanzar en una perspectiva para la microbiología predictiva.

Principales métodos:

  • Revisión de los casos canónicos (persistencia a los antibióticos, resistencia al estrés oxidativo, reparación del ADN).
  • Integración de herramientas de vanguardia: microfluidos con resolución de linaje, secuencias de ARN de una sola célula, reporteros de alta dimensión.
  • Aplicación del aprendizaje automático para analizar las trayectorias celulares.

Principales resultados:

  • La aparente aleatoriedad en el comportamiento celular puede atribuirse a factores deterministas como el crecimiento, el estado del ciclo celular y el microambiente.
  • Las variables ocultas que influyen en el comportamiento celular están siendo reveladas por tecnologías avanzadas.
  • Estos factores explican la variabilidad previamente considerada estocástica.

Conclusiones:

  • La reformulación del ruido como una estructura detectable permite una microbiología predictiva.
  • La vinculación de los estados celulares individuales a los comportamientos de la población tiene implicaciones para la patogénesis.
  • Este enfoque puede guiar nuevas estrategias antimicrobianas.