Logo
Logo
Campo de búsqueda / búsqueda general

 
Autor
Título
Tema

Título: Microbial population heterogeneity versus bioreactor heterogeneity: evaluation of Redox Sensor Green as an exogenous metabolic biosensor
Autor(es): BAERT, JONATHAN
DELEPIERRE, ANISSA
TELEK, SAMUEL
FICKERS, PATRIK
TOYE, DOMINIQUE
DELAMOTTE, ANNE
LARA RODRIGUEZ, ALVARO RAUL
JAEN CHAVEZ, KARIM ENRIQUE
GOSSET LAGARDA, GUILLERMO
JENSEN, PETER R.
DELVIGNE, FRANK
Temas: Ruido biológico
Citometría de flujo
Heterogeneidad fenotípica
Reducción de escala
Celda única
Fecha: 2016
Editorial: Weinheim : WILEY‐VCH Verlag GmbH
Citation: Engineering in Life Sciences, 16(7), 2016
Resumen: Microbial heterogeneity in metabolic performances has attracted a lot of attention,considering its potential impact on industrial bioprocesses. However, little is knownabout the impact of extracellular perturbations (i.e. bioreactor heterogeneity) oncell-to-cell variability in metabolic performances (i.e. microbial population hetero-geneity). In this work, we have evaluated the relevance of Redox Sensor Green (RSG)as an exogenous biosensor of metabolic activity at the sing le-cell level. RSG sig-nal is proportional to the activity of the electron t ransport chain and its signal isstrongly affected by metabolic burden, availability of electron final acceptor, and sidemetabolisms (i.e. overflow and mixed acid fermentation). RSG can also be used forthe estimation of the impact of scale-down conditions on microbial metabolic ro-bustness. The relationship linking averaged RSG ac tivity and its cell-to-cell variability(noise) has been highlighted but seems unaffected by environmental perturbations.
URI: http://ilitia.cua.uam.mx:8080/jspui/handle/123456789/682
Aparece en las colecciones:Artículos



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.