NGS Targeted Hotspot Panel
Product Name/Description |
No. of Samples
|
Product Code |
---|---|---|
NGS Targeted Hotspot Panel (For Illumina® Platforms) |
Up to 40
|
THSP-ILNGS |
EntroGen NGS Targeted Hotspot Panel is a comprehensive pan-cancer assay designed to detect clinically relevant hotspot mutations in solid tumors. Utilizing a robust next-generation sequencing (NGS) platform, labs are able to simultaneously analyze several different tumor types by batching up to 12 samples on a single run*. NGS Targeted Hotspot Panel (THSP) is compatible with fresh frozen, and formalin fixed paraffin embedded (FFPE) samples. This assay features high sensitivity and throughput detecting clinically relevant hotspot variants down to 5% with minimal DNA input. With its comprehensive, streamlined workflow, THSP is designed to be seamlessly integrated into any lab. Laboratories with specific challenges, such as low disease specific sample volumes, are able to batch various sample types together and accelerate tumor profiling.
GENE | DISEASE | COVERAGE |
BRAF | Melanoma, Colorectal, Lung | Exons 11 & 15 |
EGFR | Lung, Glioma | Exons 3, 7, 12, 15, 18, 19, 20, 21 |
ERBB2 | Breast, Lung | Exons 8, 14, 17, 18, 19, 20, 21, 24, 26 |
HRAS | Thyroid | Exons 2, 3 |
C-KIT | GIST, Melanoma | Exons 2, 8, 9, 10, 11, 13, 14, 15, 17, 18 |
IDH1 | Glioma, AML | Exon 2 |
IDH2 | Glioma, AML | Exon 4 |
JAK2 | Bone Marrow Disorders | Exon 12, 14 |
KRAS | Colorectal, Lung | Exons 2, 3, 4 |
MET | Lung | Exons 2, 11, 14, 16, 18, 19, 20 |
NRAS | Colorectal, Melanoma | Exons 2, 3, 4 |
PDGFRA | GIST | Exons 12, 14, 15, 18 |
PIK3CA | Colorectal, Breast, Ovarian | Exons 1, 4, 6, 7, 9, 13,18, 20 |
RET | Thyroid | Exons 10, 11, 13, 15, 16 |
TERT | CNS, Bladder, Thyroid, Skin | Promoter |
TP53 | Breast, Ovarian, Skin, Lung, Colorectal | Entire Exome |
PTEN* | Endometrial, Glioma, Prostate, Breast, Colon | Exons 1-9 |
* Upon Request
From DNA to results in approximately 24 hours with 4 hours of hands-on time including sample and library QC. Reagents for target enrichment, library preparation for Illumina® and clean-up are included, as well as a local user-friendly software designed to reduce the bioinformatics burden on the end-user by calling clinically relevant mutations directly from VCF files. Sample and library quality control assays (DNA Fragmentation Quantification assay, Library Quantification Kit for Illumina®) are available upon request to ensure high quality data without the need for repeat sequencing.
Equipment & Materials: NGS Targeted Hotspot Panel requires the following equipment:
- Illumina MiniSeq (validated instrument). Illumina MiSeq or NextSeq 500 are also compatible.
- PCR thermocycler.
- Real-time PCR machine (for sample and library QC assays).
- Magnetic rack (for amplicon and library clean-up).
The kit includes reagents for:
- Target enrichment.
- Library preparation (indexes and adaptor-oligos for Illumina sequencing).
- Amplicon and library clean-up (magnetic beads are included).
The reagents in the kit are to prepare sequencing libraries for up to 40 samples.
Intended Use: USA: NGS Targeted Hotspot Panel is available for research use only (RUO). Not for use in diagnostic procedures. Europe: NGS Targeted Hotspot Panel is available for research (RUO) and diagnostic (CE-IVD) purposes.
Bibliography of studies using this product
Prognostic and Predictive Biomarkers in Gliomas. Śledzińska P, Bebyn MG, Furtak J, Kowalewski J, Lewandowska MA. Special Issue: Biomolecular Characterization of Brain Gliomas and Molecular Alterations Caused by Therapy. International Journal of Molecular Sciences. 2021, 22(19), 10373; DOI.org ID.
Overview
- Covers and detects all clinically relevant hotspot mutations in 17 genes from fresh frozen and FFPE tissue samples.
- Detect down to 5% allele frequency from 12 ng of input DNA.
- Includes reagents for target enrichment; library preparation and clean up; and DNA and library QC.
- Library preparation reagents are compatible with Illumina® NextSeq 500, MiniSeq, and MiSeq sequencers.
- Complimentary user-friendly software for local data analysis.