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    VITA Single-Cell Full-Length
    Transcriptome Sequencing Platform

    Powered by the groundbreaking M20 Seq technology, the cutting-edge VITA platform facilitates comprehensive single-cell transcriptome analysis across a wide range of sample types and species. With full transcriptome coverage and advanced gene detection capabilities, the VITA platform redefines the landscape of single-cell sequencing, providing unparalleled avenues for scientific exploration and discovery.

    VITA Single-Cell Full-Length Transcriptome Sequencing Platform

Application Fields

  • Basic Research
    Cancer research, neurobiology, immunology, developmental biology, etc.
  • Clinical Research
    Oncology, reproductive medicine, infectious diseases, autoimmune diseases, etc.
  • Drug Development
    Drug target screening, drug evaluation, mechanisms of action (MOA) studies, vaccine development, etc.
  • 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.
  • Microbe-Host Interaction Research
    Human co-habitant microbes have important effects on host development, immune system, and the nervous system. Pathogenic bacteria can breach the host's immune barrier and cause infections. On the other hand, host genes partially shape the microbial community.
    By introducing VITA, single-cell-level detection and interaction analysis can be conducted on eukaryotic and prokaryotic cells.
  • Microbiota Function Analysis
    Microbial communities are characterized by heterogeneity, with individual cells exhibiting significant variability in their functional responses. The VITA platform enables the uncovering of diverse transcriptional states of bacteria at the single-cell level, providing crucial insights into the analysis of metabolic and regulatory pathways. This detailed analysis allows for the examination of how individual microbial behaviors influence the dynamics within a community.
  • 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.

About Us

We are a pioneering life science technology company dedicated to pushing the boundaries of single-cell and spatial technologies...

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