면역 정보학 연구실

We investigate the communication between immune cells during chronic autoimmune and cancers, as well as inflammatory diseases. These diseases are often molecularly heterogeneous, requiring personalized therapeutic approaches. Our lab utilizes systems biology and bioinformatics to monitor the immune system throughout disease progression. By integrating laboratory and clinical data, we identify dysregulated biological pathways at the patient level. These findings allow us to hypothesize the roles of these pathways as pathogenic factors or biomarkers, which can be tested in vitro and therapeutically targeted. 우리 연구실은 만성 자가면역 및 염증성 질환 뿐만 아니라 암에서 면역 세포 간의 상호작용을 연구하고 있습니다. 이러한 질환들은 분자적으로 이질적이기 때문에 개인 맞춤형 치료가 필요합니다. 우리 연구실은 시스템 생물학과 생물정보학 기법을 활용하여 질병 진행 동안 환자의 면역계를 모니터링합니다. 실험실 및 임상 데이터를 통합하여 환자 수준에서 이상 조절된 생물학적 경로를 발견합니다. 이를 바탕으로 병원성 인자로 작용하거나 바이오마커로 사용될 수 있는 경로를 가설로 세우고, 이를 실험실에서 검증하거나 치료 타겟으로 활용합니다. There are many autoimmune disease with various reasons. We are focused on activity of immune cells in disease states. Analyzing single-cell RNA sequencing and spatial transcriptomics data, we find out disease specific immune cell transcriptomic profiles and interactions in disease sites. We also work on many other diseases. For example, we analyze gene expression profiles during blood brain barrier (BBB) breakdown. We also study hepatocyte subtypes and related cells during liver regeneration. We analyze not only human data, but also many other model organism datas. the pathogenesis of cancer, autoimmune diseases, and inflammatory diseases, aiming to identify biomarkers and therapeutic targets.