Through high-throughput sequencing technologies such as， genome sequencing, transcriptome sequencing and single-cell sequencing, Proteomics，Metabonomics and Metagenomics， the similarities and differences of the glioma immune microenvironment within and between individuals were revealed from the multi-dimensional and big data level, and the immune molecular typing of glioma was established.~Establish and verify that the neoantigen polypeptides predicted by AI algorithm after analyzing multi-omics data (genome, transcriptome, etc.) have good killing effect on individual tumor cells.~To establish an intelligent evaluation model of glioma immunotyping by integrating imaging, pathology, high-throughput sequencing data and other omics information, and to provide a visual tool for monitoring changes in the intratumoral microenvironment of glioma patients, with the expectation of helping timely intervention of immunotherapy in patients with recurrence.
This project intends to use multiple types of biological samples from glioma patients and mouse intracranial tumor models as research objects, and comprehensively apply a series of omics sequencing technologies and molecular biology technologies to jointly define the following research objectives :