Uniquorn

Uniquorn identifies cancer cell lines (CCLs) by analyzing next-generation sequencing (NGS)‑derived somatic and germline variant profiles to detect misidentification and cross-contamination.

Key Features:

• Variant Profile Analysis: Utilizes both somatic and germline mutations to distinguish between different cell lines.
• Sequencing Technology Agnostic: Compatible with various next-generation sequencing platforms, including whole exome and whole genome sequencing.
• Robust Across Pipelines: Functions effectively regardless of the downstream analysis pipeline used.
• Performance Evaluation: Evaluated on over 1900 CCL profiles from three libraries including 1585 duplicate samples, reporting 97% sensitivity and 99% specificity, with errors primarily linked to low-quality mutation profiles.

Scientific Applications:

• Cancer cell line identification: Accurate identification of cancer cell lines (CCLs) to address misidentification issues in research.
• Cross-contamination detection: Detection of cross-contamination among CCL samples using variant profiles.
• Sequencing quality assessment: Identification of low-quality mutation profiles that compromise sample identification accuracy.

Methodology:

Analyzes next-generation sequencing data using somatic and germline variant profiles from whole-exome and whole-genome sequencing and operates across downstream analysis pipelines.