4 results about "Mutation frequency" patented technology

This invention belongs to the field of radiation mutagenesis technology, and relates to a method for mutagenesis of lavender seeds, employing... 60 Lavender seeds are treated with Co-γ rays; the radiation dose is 50-500 Gy, and the dose rate is 1-3 Gy / min. This invention employs... 60 Radiation with Co-γ rays can efficiently induce mutations in the genetic material of lavender seeds, effectively breaking gene linkage and significantly increasing the mutation frequency. This provides a rich material basis for screening lavender mutants, allowing for the selection of seed half-lethal doses, and obtaining plants with variations in leaf color, leaf shape, plant height, and other traits. This provides technical support for lavender breeding using radiation mutagenesis technology.

The application is a divisional application of the Chinese invention patent application with application number 202410914209.2, application date of 2024.07.09 and invention name of "Molecular switch for controlling the transformation of colorectal cancer cell genome from MSS to MSI, inhibitor and application thereof". The application discloses the application of verteporfin or VT103 in reducing the level of MMR protein, and belongs to the technical field of medicine. The application finds that verteporfin and VT103 can transform the microsatellite stable state of colorectal cancer cell genome into a microsatellite unstable state, induce the tumor cells with microsatellite instability to exhibit reduced expression of mismatch repair proteins, increased mutation load and increased neoantigen load, can increase the mutation frequency of tumor cells, stimulate the generation of tumor neoantigen peptides, realize the transformation from "cold" tumor cells that cannot respond to immunotherapy to "hot" tumor cells, and provide a theoretical basis for the development of drugs for microsatellite stable digestive tract tumors and the treatment strategy of microsatellite stable tumors by targeting YAP / TAZ-TEAD combined with immunotherapy.

This application discloses a method, system, device, and storage medium for predicting the immunogenicity of neoantigens. The method includes: acquiring tumor mutation data and synthesizing candidate peptides; constructing a training set with HLA typing and immune tags; extracting and fusing multi-omics feature vectors covering dimensions such as binding affinity, complex stability, presentation probability, expression level, mutation frequency, and clonal abundance; training the model using random balanced forest and XGBoost ensemble learning to obtain an immunogenicity prediction model; outputting immunogenicity probability scores for the peptides to be predicted and prioritizing them accordingly to generate a neoantigen list. This application significantly improves the accuracy and screening efficiency of neoantigen immunogenicity prediction by fusing multi-omics features and integrating the immunogenicity prediction model.