[Case Study] Determination of Insertion Sites for Animal Cultured Cells and Plant Cells

We have added a case study of random integration analysis using the RAISING method!

We would like to introduce a case study of our random integration analysis service using the RAIS method. We performed the RAIS method on T-DNA taglines inserted into Arabidopsis thaliana using the Agrobacterium method, as well as on mouse cultured cells with retrovirus vectors inserted. We confirmed the insertion site sequences using Sanger sequencing and mapped the decoded sequences obtained from next-generation sequencing analysis to the genome sequence. As a result, it was confirmed that this method is effective for determining insertion sites in animal cultured cells as well as in plant cells. 【Random Integration Analysis Service using the RAIS Method】 ■ Sanger Sequencing Plan ■ Next-Generation Sequencing (NGS) Plan * For more details, please refer to the PDF document or feel free to contact us. * For case studies, please refer to the URL below.

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Developed through joint research with the National Institute of Infectious Diseases. Achieves determination of the insertion site of foreign DNA in a short time, with high sensitivity and low cost.

The "RAISING method" is a technique for detecting the insertion sites of foreign DNA in the genome. It allows for rapid and reproducible measurement results with a small amount of DNA. It can identify insertion sites of viral genome insertions, viral vector insertions, searches for fusion genes that could be drug discovery targets, and off-target knock-ins in genome editing, among others. 【Features】 - Analysis can be arranged according to the purpose and target. - Multiple insertion sites can be detected in a single analysis. - High reproducibility of results is achieved through proprietary technology. 【Analysis Examples】 - HTLV-1 (Human T-cell Leukemia Virus) Clonality Analysis Leveraging the characteristics of the RAISING method, which can quickly detect with a small amount of DNA, we achieved high detection sensitivity even with a proviral load of 0.032%. - Off-target Detection of Knock-ins in Genome Editing For knock-in mice created using CRISPR/Cas, we conducted detection of knock-in efficiency and off-target sites by combining with NGS. *For details on examples and services, please refer to the materials available for download.

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Features ● Compatible with 12th/13th/14th generation Intel Core i series ● Equipped with 32GB memory and 512GB 3DTLC SSD *Changeable as an option ● Comes with Windows 11 IoT Enterprise *Changeable as an option ● Equipped with 1 HDMI, 1 DP, and 1 VGA port ● Rear I/O includes 4 USB 3.2, 4 LAN, and 1 COM ● Long-term supply model ● BTO options available from a single unit, allowing changes to CPU, memory, etc.

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