The CleanPlex Hereditary Cancer Panel v2 is a targeted resequencing assay designed for analyzing genes associated with an increased risk of developing hereditary cancers. Associated cancer includes breast cancer, ovarian cancer, uterine cancer, skin cancer, prostate cancer, gastric cancer, colorectal cancer, pancreatic cancer, etc. The panel is expertly curated using the latest research findings to target 37 genes and both single nucleotide variants (SNVs) and insertion-deletion mutations (indels). Furthermore, it also detects hotspot mutations rs12516 and rs8176318 in the BRCA1 3’ UTR and structural rearrangement of exons 1-7 in MSH2 (Boland inversion)*. This panel is specifically designed to detect inherited mutations and is not appropriate for the detection of other types of mutations in acquired cancers. Starting with 20 ng of high-quality genomic DNA (10 ng per primer pool), sequencing-ready libraries can be prepared using a streamlined workflow in just 3 hours.
The CleanPlex Hereditary Cancer Panel v2 provides enhanced performance and further streamlined workflow. The panel is capable of detecting Boland inversion,* and the number of multiplex PCR primer pools has been reduced from 4 pools to just 2 pools.
- Up-to-date Gene Content
Interrogate 37 genes associated with cancers of the breast, ovary, uterus, skin, prostate, and gastrointestinal system, including rs12516 and rs8176318 in BRCA1 and Boland inversion in MSH2*
- Fast, Streamlined Workflow
Generate sequencing-ready libraries in just 3 hours using a rapid, three-step protocol
- Superb Performance
Prepare high-quality NGS libraries using CleanPlex Technology to enable efficient use of sequencing reads and reduce costs
The CleanPlex Hereditary Cancer Panel v2 contains CleanPlex Multiplex PCR Primers and CleanPlex Targeted Library Kit. CleanPlex Indexed PCR Primers and CleanMag Magnetic Beads are ordered separately to complete the workflow from input DNA to sequencing-ready NGS libraries.
*Detection of structural rearrangement of exons 1-7 in MSH2 (Boland inversion) was validated using synthetic oligo constructs simulating the inversion.