Advance your clinical development and drug discovery program with RepSeq+
Capture Seven Chain Clonality and Diversity Data in a Single Reaction
Understanding the diversity of the adaptive immune repertoire is critical for advancing disease biomarker discovery and therapeutic development. However, current methodologies to study T and B cell receptor sequences are limited by low sensitivity, inclusiveness, and throughput. Therefore, we developed RepSeq+, a sensitive, quantitative, and high-throughput assay that combines multiplex PCR with NGS to analyze any combination of all seven chains of the adaptive immune system in a single reaction.
RepSeq+
All-in-one solution for adaptive immune repertoire analysis
With high sensitivity, we uncover rare clonotypes, crucial for understanding immune responses and disease mechanisms.
By analyzing all 7 chains of B-cell and T-cell receptors, our approach offers a comprehensive view of immune cell diversity, capturing various clonotypes and subpopulations.
Our technique delivers results free from bias, ensuring accurate representation of immune cell diversity.
Our analysis provides precise quantification of immune cell populations, allowing for accurate assessment and comparison.
Our methods ensure consistent and reliable results across experiments, enabling confidence in data reproducibility and reliability.
Our approach delivers error-free results, guaranteeing accurate and reliable sequencing data.
Looking for rare clones in a single chain? RepSeq might be for you
RepSeq+
All-in-one solution for adaptive immune repertoire analysis
Looking for rare clones in a single chain? RepSeq might be for you
Turn data into actionable insights
Simplify complex repertoire dynamics with colorful data outputs:
- Tree maps visualize both chain diversity and clonality
- B-cell network plots go beyond simple clonal expansion
- Longitudinal tracking of dominant or expanding clones
Advancing key clinical areas with multi-chain repertoire analysis
RepSeq+ in Action
Case study: Immune Repertoire Sequencing for Pre- and Post-Treatment Monitoring in Cancer
Renal cell carcinoma poster
