Solution reagent kit v1.0
for researchclinicalfor DNA library preparation

Solution reagent kit - v1.0 - Nanodigmbio Co., LTD - for research / clinical / for DNA library preparation
Solution reagent kit - v1.0 - Nanodigmbio Co., LTD - for research / clinical / for DNA library preparation
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Characteristics

Type
solution
Applications
clinical, for research, for DNA library preparation, for lung cancer
Tested parameter
EGFR gene, for NRAS gene, gene MET, gene ROS1, RET gene, for BRAF gene, for PIK3CA Gene

Description

LungCancer Panel v1.0 is specifically designed for lung cancer research. This panel involves 24 genes, including full coding regions from 19 genes and non-exonic regions with frequent fusion occurrence in lung cancer. Can RNA samples be directly used for library preparation with this kit? No. This kit is compatible only with gDNA or cDNA as initial samples. For RNA samples, reverse transcription to generate cDNA is required prior to library preparation. What is the recommended input range? How to handle inputs exceeding this range? This kit supports 50-2,000 ng of gDNA or cDNA. For input amount exceeds 2,000 ng, split the sample into multiple reactions to maintain amplification efficiency. What is the insert size of this kit? How to select sequencing read length? The main peak of PCR products by using this kit is ~270 bp. PE150 sequencing is recommended for high-quality coverage. What is the recommended sequencing data volume for IGTR immune repertoire analysis? A minimum of 0.3 Gb is recommended to detect clones at 0.01% abundance with an input of 200 ng. Increase data volume to enhance sensitivity for low-frequency clones. Is this kit suitable for minimal residual disease (MRD) monitoring? Yes. This kit includes IG Primer Mix and TR Primer Mix with gene-specific primers provided in separate tubes, allowing flexible combination in a single amplification reaction. With its high sensitivity, the kit meets the requirements for MRD monitoring technology development and clinical applications, making it ideal for low-frequency variant detection scenarios.
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