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Transcription Attenuation in Prokaryotes02:42

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Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
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Bacterial growth is closely tied to nutrient availability, with cells proliferating exponentially under favorable conditions and entering a stationary phase when resources become scarce. This transition is mediated by a regulatory mechanism known as the stringent response, which allows bacteria to adapt to nutrient deprivation by modulating gene expression and metabolic activity.During nutrient scarcity, intracellular amino acid levels decline. It results in the accumulation of uncharged tRNAs...
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Riboswitches are non-coding mRNA domains that regulate the transcription and translation of downstream genes without the help of proteins. Riboswitches bind directly to a metabolite and can form unique stem-loop or hairpin structures in response to the amount of the metabolite present. They have two distinct regions – a metabolite-binding aptamer and an expression platform.
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Updated: Jan 15, 2026

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Ingeniería de biosensores programables sensibles al triptófano basados en proteínas de atenuación que se unen al ARN

Xianhao Xu1,2, Keyi Zou1,2, Weihao Qian1,2

  • 1Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China.

ACS synthetic biology
|January 13, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Los investigadores desarrollaron nuevos biosensores de triptófano en E. coli utilizando el sistema TRAP, mejorando el rango dinámico y los umbrales de respuesta para mejorar la ingeniería de cepas y la regulación de redes metabólicas.

Palabras clave:
Escherichia coliTRAPbiosensorcribado de alto rendimientosimulaciones de dinámica moleculartriptófano

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Área de la Ciencia:

  • Microbiología
  • Biología Sintética
  • Biotecnología

Sus antecedentes:

  • Los biosensores son cruciales para el cribado de cepas de alto rendimiento y la regulación de redes metabólicas.
  • Los sensores de triptófano actuales tienen limitaciones en el rango dinámico y el umbral de respuesta.

Objetivo del estudio:

  • Desarrollar nuevos biosensores sensibles al triptófano en Escherichia coli utilizando el sistema TRAP.
  • Ingenierizar y optimizar estos biosensores para mejorar su rendimiento.
  • Utilizar los biosensores para cribar variantes de enzimas y estudiar vías metabólicas.

Principales métodos:

  • Se diseñaron biosensores basados en la proteína de atenuación que se une al ARN activada por triptófano (TRAP) en E. coli.
  • Se ajustó la expresión de TRAP y se optimizaron las interacciones de la secuencia líder de TRAP.
  • Se cribaron variantes de TRAP y variantes de enzimas beneficiosas en la vía biosintética del triptófano.
  • Se emplearon simulaciones de dinámica molecular para investigar los mecanismos catalíticos de las enzimas.

Principales resultados:

  • Se desarrollaron dos nuevos biosensores de triptófano con rangos dinámicos distintos (hasta 22,1 veces).
  • Se alcanzaron umbrales de respuesta tan bajos como 0-2,2 g/L.
  • Se cribaron con éxito variantes beneficiosas de enzimas limitantes en la biosíntesis de triptófano.
  • Se proporcionaron información sobre los mecanismos catalíticos de las enzimas a través de simulaciones de dinámica molecular.

Conclusiones:

  • Los biosensores desarrollados basados en TRAP ofrecen herramientas mejoradas para la ingeniería de cepas productoras de triptófano.
  • Este estudio presenta nuevas estrategias para el diseño de biosensores robustos y sensibles.
  • Los hallazgos contribuyen a los avances en ingeniería metabólica y biología sintética.