Transcriptome Sequencing Platform
Powered by the “M20 Seq®”, VITA platform facilitates in-depth single-cell transcriptome research across diverse sample types and species, while ensuring full-length coverage. This technique substantially augments the gene detection rate at the single-cell level, thereby tremendously broadening the potential applications of single-cell technology.
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VITAseer® Software and Data Platform
Application Fields
- Eukaryotic Single-Cell RNA Sequencing
- Prokaryotic Single-Cell RNA Sequencing
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Basic ResearchBasic medical research, botanical and zoological studies, etc.
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Clinical ResearchOncology, reproductive medicine, infectious diseases, and immunology, etc.
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Drug DevelopmentDrug targets, efficacy evaluation, drug mechanisms, and vaccine research and development, etc.
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Clinical Drug Resistance ResearchBacterial drug resistance displays notable individual variations. By incorporating the VITA platform to bacterial drug resistance studies, researchers can effectively delve into the intricate mechanisms underlying bacterial drug resistance mechanisms.
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Temporal AnalysisWhen bacteria transition between different states, transcriptional recombination often leads to the silencing or reactivation of certain genes, from which obtaining purified transient bacteria for research is unrealized.
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Microbe-Host Interaction ResearchHuman 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.
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Microbial Functional Correlation AnalysisWhen conducting metagenomic analysis of microorganisms, functional analysis and taxonomic analysis are relatively independent, and the accuracy of associating species with functions is limited. Using VITA platform, accurate microbial classification and functional annotation can be achieved, enabling the analysis of in situ expression of specific functions within microbial communities.
About Us
We are a rapidly growing life science technology company dedicated to pushing the boundaries of single-cell and saptial technologies.……
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