15/06/2026
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[講題]:Mapping the Complexity of Host-Microbe Interactions Through Cross-Kingdom Single-Cell Multi-Omics and Machine Learning
[講者]:林建達 助理教授(台大生化科技系)
CV:https://www.mc.ntu.edu.tw/medgenpro/News.action?q_type=-1&q_itemCode=11936
[時間]:2026/7/13 (星期一) 上午11:20-12:10
[Hybrid Meeting]:
*地點: 醫學院基醫大樓202講堂
*Webex:
https://ntumc.webex.com/ntumc-tc/j.php?MTID=md111ac2b6f2a5a047e872e87fe0182e3
[摘要]:
Precision medicine seeks to understand how genetic, environmental, and microbial factors collectively shape disease susceptibility and progression. To address this challenge, we have established an integrated systems biology platform that combines cross-kingdom single-cell multi-omics, including host and microbial single-cell profiling, with machine learning approaches to map immune and microbial ecosystems at high resolution. Using murine models of atherosclerosis, we investigated how helminth and microbiota-targeted interventions remodel cardiovascular immunity. Administration of Bacillus subtilis natto NTU-18 reduced aortic lesion burden independently of cholesterol lowering and was associated with expansion of antigen-experienced CD44⁺ CD8⁺ T cells and regulatory T cells, highlighting immune-mediated mechanisms of disease protection. To further dissect host-parasite-microbe interactions, we established bacterial scRNA-seq and indigenous microbiota single-cell sequencing platforms, enabling identification of functional microbial populations associated with helminth-induced atherosclerosis regression. In pancreatic ductal adenocarcinoma (PDAC), high-dimensional immune profiling by spectral flow cytometry revealed stage-dependent remodeling of more than 70 circulating immune subsets. Integration with machine learning identified CD95 and CD45RA as predictive biomarkers of disease status, demonstrating the utility of computational immunology for precision diagnostics.
To investigate the gut-immune-brain axis, we colonized germ-free LRRK2 G2019S Parkinson’s disease mice with Parabacteroides goldsteinii. Colonization improved motor performance and attenuated neuroinflammation and α-synuclein pathology through coordinated regulation of gut barrier integrity, innate immune signaling, and mucosal T-cell responses. Collectively, these studies demonstrate how cross-kingdom single-cell multi-omics and machine learning can resolve immunological complexity and host–microbe interactions across cardiovascular disease, cancer, and neurodegeneration, providing new opportunities for biomarker discovery and microbiome-informed precision therapeutics.
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