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Label-Free Monitoring of Coculture System Dynamics: Probing Probiotic and Cancer Cell Interactions via Infrared Spectroscopic Imaging.
Jeong, Yoon; Hsieh, Pei-Hsuan; Phal, Yamuna; Bhargava, Rohit; Irudayaraj, Joseph.
Afiliación
  • Jeong Y; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
  • Hsieh PH; Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
  • Phal Y; Biomedical Research Center, Mills Breast Cancer Institute, Carle Foundation Hospital, Urbana, Illinois 61801, United States.
  • Bhargava R; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
  • Irudayaraj J; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Anal Chem ; 96(28): 11247-11254, 2024 07 16.
Article en En | MEDLINE | ID: mdl-38941069
ABSTRACT
Evaluating the dynamic interaction of microorganisms and mammalian cells is challenging due to the lack of suitable platforms for examining interspecies interactions in biologically relevant coculture conditions. In this work, we demonstrate the interaction between probiotic bacteria (Lactococcus lactis and Escherichia coli) and A498 human cancer cells in vitro, utilizing a hydrogel-based platform in a label-free manner by infrared spectroscopy. The L. lactis strain recapitulated in the compartment system secretes polypeptide molecules such as nisin, which has been reported to trigger cell apoptosis. We propose a mid-infrared (IR) spectroscopic imaging approach to monitor the variation of biological components utilizing kidney cells (A498) as a model system cocultured with bacteria. We characterized the biochemical composition (i.e., nucleic acids, protein secondary structures, and lipid conformations) label-free using an unbiased measurement. Several IR spectral features, including unsaturated fatty acids, ß-turns in protein, and nucleic acids, were utilized to predict cellular response. These features were then applied to establish a quantitative relationship through a multivariate regression model to predict cellular dynamics in the coculture system to assess the effect of nisin on A498 kidney cancer cells cocultured with bacteria. Overall, our study sheds light on the potential of using IR spectroscopic imaging as a label-free tool to monitor complex microbe-host cell interactions in biological systems. This integration will enable mechanistic studies of interspecies interactions with insights into their underlying physiological processes.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas de Cocultivo / Probióticos / Escherichia coli Límite: Humans Idioma: En Revista: Anal Chem Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas de Cocultivo / Probióticos / Escherichia coli Límite: Humans Idioma: En Revista: Anal Chem Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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