Lunacell offers single-cell analysis solutions that enable high-throughput profiling of genomics, transcriptomics, proteomics, and epigenomics. Their proprietary combinatorial indexing technology allows researchers to dissect biological complexity at the individual cell level, advancing precision medicine and drug discovery.
Funding
Funding not disclosed
Founders
Product
Problem
The complexity of biological systems and disease mechanisms at the cellular level is not fully understood, hindering the development of precise diagnostics and personalized treatments. Traditional bulk analysis methods average cellular responses, masking critical heterogeneity and individual cell behavior. This lack of granular insight limits the ability to identify subtle disease markers and tailor therapeutic interventions effectively.
Solution
Lunacell provides advanced single-cell analysis solutions that enable researchers and clinicians to dissect biological complexity at the individual cell level. Leveraging proprietary combinatorial indexing technology, Lunacell's platform allows for high-throughput barcoding of cellular components such as cDNA, DNA, and proteins. This enables the generation of detailed single-cell profiles, facilitating the analysis of genomics, proteomics, epigenomics, and multi-omics data. By providing unprecedented sample indexing and cell processing throughput, Lunacell empowers deeper understanding of biological phenomena, leading to advancements in precision medicine, drug discovery, and regenerative therapies.
Target Audience
Lunacell's primary customers are academic research institutions, pharmaceutical companies, and biotechnology firms engaged in life sciences research, drug discovery, and clinical diagnostics.
Features
- Combinatorial Indexing technology for high-throughput single-cell barcoding of nucleic acids and proteins.
- Split-and-pool methodology to generate unique barcode combinations for millions of individual cells without specialized equipment.
- Scalable sample multiplexing supporting up to 96 samples per experiment with sample fixation for long-term storage and transport.
- Scalable cell throughput enabling profiling of hundreds of thousands to millions of cells or nuclei per experiment.
- Broad application support for single-cell genomics, transcriptomics, proteomics, epigenomics, and multi-omics profiling.
- Enables detailed analysis of DNA sequencing for gene variants and mutations at the cellular level.
- Facilitates protein expression pattern analysis and interaction mapping for understanding cellular function and disease mechanisms.
- Supports analysis of epigenetic modifications, such as DNA methylation, at the single-cell level.
- Analyzes mRNA expression to identify active genes and understand cell states and functions.
- Integrates multi-omics data for a comprehensive understanding of individual cell states.