Picopoint Genomics
Picopoint Genomics offers the Picoception platform, which profiles gene expression from tiny 2-3mm microcarcinomas and degraded FFPE tissue that other methods reject. The technology captures mRNA from the entire transcriptome, works directly from tissue sections or extracted RNA, and includes customized bioinformatics analysis with publication-ready plots.
- Biotechnology
- Healthcare Technology
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Standard gene expression profiling platforms often fail on tiny or degraded tissue samples, such as 2-3mm microcarcinomas embedded deep within normal tissue or archival FFPE specimens. This limitation prevents researchers from uncovering biologically relevant genes and pathways in small biopsies, profiling large clinical cohorts with known outcomes, and developing clinically useful biomarkers from stored tissue.
Solution
Picoception provides a platform designed to comprehensively profile the gene expression of tiny and degraded samples, including microcarcinomas and archival FFPE tissue. The technology captures mRNA from the entire transcriptome in an unbiased manner, avoiding signal noise from surrounding stroma to identify biologically relevant genes and pathways. It works with either extracted RNA or directly from tissue sections, and is compatible with standard FFPE processing workflows. Customized bioinformatics analysis is included, with the goal of seamless integration into clinical workflows and potential integration into a clinical-grade platform, delivering best-in-class profiles from samples other methods reject.
Target Audience
Primary users are translational researchers and clinical scientists at universities, hospitals, and trial networks who need to profile tiny or degraded tumor samples and develop or validate clinical biomarkers.
Features
- Works with tiny 2-3mm microcarcinomas and degraded RNA from FFPE tissue, with zero rejected samples (no minimum RNA quality)
- Captures mRNA from the entire transcriptome, taking an unbiased approach covering all genes, not limited to a fixed panel
- Compatible with stored archival tissue, enabling profiling of large clinical cohorts with known outcome data
- Specifically designed to be compatible with FFPE tissue processing workflows used in hospitals, including the option to annotate any region on a slide
- Includes customized bioinformatics analysis and gene expression scoring, delivering publication-ready plots and a 3X faster turnaround time