Single-Cell Transcriptome for Cultured Bacterial Samples




Fields of Application

  • Drug Resistance Research
    Even genetically identical bacterial populations display substantial variability in drug resistance-related phenotypes. By incorporating the VITA platform in bacterial drug resistance studies, researchers can investigate the mechanisms of heteroresistance within bacterial populations at the single-cell level.
  • Temporal State Analysis
    When bacteria transition between states, they frequently undergo transcriptional reprogramming. The VITA platform facilitates a deeper understanding of dynamic gene expression at the single-cell level, revealing the significant heterogeneity withing bacterial populations.
  • Host-Bacteria Interaction Studies
    Host cells can adapt to infections by adjusting metabolic pathways to resist and clear pathogens, while pathogenic bacteria ensure their survival by manipulating the host cell's metabolism through various mechanisms. The VITA platform is ideally suited to analyze the intricacies of resistance mechanisms and interactions between host and bacteria in detail.
  • Bacteria-Phage Correlation Analysis
    Phages are highly abundant in bacterial populations, significantly influencing genetic diversity through mediating horizontal gene transfer and shaping community dynamics by affecting bacterial survival and competitiveness. Precise analysis of gene expression in individual bacteria and their phages with VITA platform allows researchers to explore the impacts of phage invasions on bacterial function and phenotypes.

Featured Publication

Case Study with VITA Platform: Analysis of Escherichia coli treated with ampicillin at various time points reveals functional heterogeneity wihtin bacterial populations.

Droplet-based high-throughput single microbe RNA sequencing by smRandom-seq. Nat Commun. 2023 Aug 23;14(1):5130.

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