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Integrated identification of growth pattern and taxon of bacterium in gut microbiota via confocal fluorescence imaging-oriented single-cell sequencing.
Gao, Juan; Sun, Di; Li, Bei; Yang, Chaoyong; Wang, Wei.
Afiliación
  • Gao J; Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Institute of Molecular Medicine, Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
  • Sun D; Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Institute of Molecular Medicine, Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
  • Li B; State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences Changchun China.
  • Yang C; Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Institute of Molecular Medicine, Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
  • Wang W; The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Key Laboratory for Chemical Biology of Fujian Province State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, Xiamen University College of Chemistry and Chemical Engineering Xiamen China.
mLife ; 1(3): 350-358, 2022 Sep.
Article en En | MEDLINE | ID: mdl-38818223
ABSTRACT
Despite the fast progress in our understanding of the complex functions of gut microbiota, it is still challenging to directly investigate the in vivo microbial activities and processes on an individual cell basis. To gain knowledge of the indigenous growth/division patterns of the diverse mouse gut bacteria with a relatively high throughput, here, we propose an integrative strategy, which combines the use of fluorescent probe labeling, confocal imaging with single-cell sorting, and sequencing. Mouse gut bacteria sequentially labeled by two fluorescent d-amino acid probes in vivo were first imaged by confocal microscopy to visualize their growth patterns, which can be unveiled by the distribution of the two fluorescence signals on each bacterium. Bacterial cells of interest on the imaging slide were then sorted using a laser ejection equipment, and the collected cells were then sequenced individually to identify their taxa. Our strategy allows integrated acquirement of the growth pattern knowledge of a variety of gut bacteria and their genomic information on a single-cell basis, which should also have great potential in studying many other complex bacterial systems.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: MLife Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: MLife Año: 2022 Tipo del documento: Article