Develops extraction-free single-cell sequencing technology that prepares whole genome and RNA libraries directly within intact cells, eliminating the need for physical cell isolation. This approach reduces costs, increases throughput, and simplifies workflows, enabling applications in targeted cancer therapy, immunotherapy, and CRISPR-based gene editing with library prep comparable to bulk NGS.
Funding
Funding not disclosed
Founders
Product
Problem
Current single-cell sequencing methods require physical isolation and extraction of cellular material, which can be labor-intensive, costly, and result in loss of material, limiting throughput and scalability. Traditional methods also introduce biases and artifacts during cell isolation and library preparation, affecting the accuracy and completeness of genomic analysis.
Solution
Factorial Biotechnologies offers an extraction-free, in-cell single-cell sequencing technology that prepares whole-genome and RNA libraries directly within intact cells, eliminating the need for physical cell isolation. This approach reduces costs, increases throughput, and simplifies workflows, enabling single-cell NGS library preparation at cost, workflow, and content parity to bulk NGS libraries. By performing library preparation within the cells, the technology minimizes sample loss and reduces the introduction of biases, leading to more accurate and reliable single-cell genomic data. The technology aims to broaden the adoption of single-cell genomics by addressing the limitations of existing methods.
Target Audience
The primary target audience includes researchers and clinicians in targeted cancer therapy, immunotherapy, cell and gene therapy, and CRISPR-based gene editing, as well as pharmaceutical companies and academic institutions involved in single-cell genomics research.
Features
- In-cell library preparation for whole genome sequencing (WGS) and RNA sequencing
- Extraction-free method eliminating cell isolation steps
- Streamlined workflow reducing hands-on time and complexity
- Cost-effective single-cell library preparation comparable to bulk NGS
- Minimized sample loss and reduced bias for improved data accuracy
- Compatible with various single-cell genomics applications