Single-Cell Sequencing for Precise Biological Insights
Our sequencing technologies provide detailed genomic, transcriptomic, and epigenomic data from individual cells. We enable accurate studies of cell-to-cell variation in health and disease.
Who We Are
Single Nuclei specializes in single cell sequencing solutions for researchers analyzing complex biological systems. We deliver tools for high throughput sequencing that help study cellular differences with precision.
Our mission is to make single-cell data accessible and reliable for labs working in oncology, immunology, microbiology, neuroscience, and other fields.
Applications
Cancer Research
- Detects rare mutations and subclonal variations in tumors.
- Tracks tumor evolution and therapy resistance.
Immunology
- Profiles immune cell subpopulations in detail.
- Tracks responses to pathogens or therapies at a cellular level.
Developmental Biology
- Analyzes gene expression changes during cell differentiation.
- Maps developmental trajectories in embryos.
Microbiology
- Identifies genetic and functional diversity in microbial populations.
- Investigates host-pathogen interactions with single-cell resolution.
Neuroscience
- Dissects the molecular profiles of distinct neuron types.
- Links gene expression to neuronal activity.
Technology
Single-Cell Sequencing Methods
- Genome Sequencing
- Detects mutations, structural variants, and copy number changes at the cellular level.
- Transcriptomics
- Quantifies RNA expression in individual cells to characterize cell states and identities.
- Epigenomics
- Maps DNA accessibility and chromatin modifications, revealing gene regulatory mechanisms.
- Multi-Omics Analysis
- Integrates genomic, transcriptomic, and epigenomic data to provide a complete view of cellular function.
Our platform ensures high accuracy, reproducibility, and scalability for research applications
Optimizing Experimental Outcomes Through Advanced Technology
Recent observations underscored challenges arising from outdated qPCR machine settings, which significantly impacted the results of a rigorous two-day RNA preparation experiment. The final quality assurance step, conducted using a tape station, revealed low RNA yield alongside degradation, likely caused by slow temperature transitions in the older equipment. This degradation led to the formation of RNA loops, a condition undesirable for downstream sequencing processes.
To address these issues and ensure experimental reliability, the entire workflow will be repeated using modern, high-performance qPCR technology. This approach aims to eliminate variability and improve data accuracy. After completing the revised experiment, the RNA samples will be subjected to advanced sequencing techniques to verify findings and provide actionable insights.
To support future research and documentation, high-resolution images of critical reagents and experimental steps, including the cell counting phase, have been captured. These visuals provide valuable insight into the workflow and underline the importance of precision and robust quality assurance protocols in achieving reproducible results for advanced sequencing applications.
