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YOUR CART

Imaging-Guided Onco-Omics Lab


​Our research aims to uncover the mechanisms driving tumor metastasis, tumor progression, and therapy resistance by developing and applying imaging-guided omics technologies, combining imaging-based techniques and omics profiling technologies. We integrate advanced imaging, computational analysis, and single-cell & spatial omics profiling to achieve this goal.
 
By leveraging information from both imaging and omics, we can decode cellular behaviors, morphological signatures, and dynamic phenotypes that are otherwise difficult to capture. These imaging-derived insights can be used to predict cell fates or isolate rare cell subpopulations, such as migratory, drug-resistant, or immune-evasive cells, which can then be deeply profiled at the molecular level. This integrative approach enables a more comprehensive understanding of disease-driving processes at both phenotypic and molecular resolutions.

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Research Interests
Tumor metastasis: Using imaging-guided omics technologies (e.g., 2D- and 3D-FUNseq, BC-seq), we investigate both cell-intrinsic mechanisms and contributions from the tumor microenvironment (TME).
Tumor progression: We examine the roles of chromosomal instability (CIN) and immune evasion through imaging-guided omics technologies such as CIN-seq, 3D-FUNseq, and CINet.
Therapy resistance: We study DNA damage response dynamics and cancer cell plasticity using imaging-guided omics platforms like FUN-TRACE and PAINT-seq.
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