| 项目编号 | PRJCA034645 | ||||||||
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| 项目标题 | Integrative neutrophil multiomics decoding biomarkers and therapeutic targets for autoimmune diseases | ||||||||
| 涉及领域 | Medical | ||||||||
| 先导项目 |
IDP: The Immunity Deciphering Project |
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| 数据类型 |
Map
Transcriptome or Gene expression Single cell sequencing Biomarkers |
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| 物种名称 | Homo sapiens | ||||||||
| 描述信息 | Neutrophils are the most abundant white blood cells in the innate immune system, and they can be quickly recruited to the lesion after infection, inflammation and external injury stimulation, which is crucial for the physiological homeostasis. Recent studies have revealed the highly complex, fine-tuned regulatory mechanisms of neutrophils, and how they develop unique phenotypes and functional specificity in specific tissue microenvironments. Therefore, the phenotypic and functional changes of neutrophils in pathological conditions can provide valuable clues for the diagnosis and prediction of diseases. Based on integrated cohort study, this project will use transcriptomics, spatial omics, and proteomics techniques to construct multidimensional tissue landscape of neutrophils in homeostasis and autoimmune diseases, focusing on rheumatoid arthritis (RA) and pregnancy with systemic lupus erythematosus (SLE). At present, there are still significant gaps in the clinical evaluation, prediction and treatment of RA and SLE in pregnancy. This project will use deep learning and multi-modal big data analysis to develop an intelligent prediction model for autoimmune diseases based on neutrophil immune characterization, so as to establish a new strategy for accurate early diagnosis, drug treatment and risk monitoring of autoimmune diseases. | ||||||||
| 样品范围 | Single cell | ||||||||
| 发布日期 | 2025-09-26 | ||||||||
| 项目资金来源 |
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| 提交者 | Lai Guan Ng (nglaiguan@renji.com) | ||||||||
| 提交单位 | Renji Hospital, School of Medicine, Shanghai Jiao Tong University | ||||||||
| 提交日期 | 2025-01-06 |
| 资源名称 | 描述 |
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| BioSample (32) show | - |