Single Cell Biotechnology and Spatial Omics

Innovation translates

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Our lab combines biomedical imaging, systems biology, and data visualization to explore six key areas: cancer research, chronic kidney disease, regenerative medicine, fibrosis, aging and brain health, and neurodegeneration.

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Theme 1

Decoding drug resistance in cancer treatments

Our research uncovered signaling networks and discovered cell-cycle-driven protein interactomics behind Tyrosine Kinase Inhibitor (TKI) inhibitors in non-small lung cancer

See Cai et al. Nature Biomedical Engineering (2024)
An illustration visualizing molecules and cells involved in drug resistance of lung cancer, with no overlaid text, only detailed visual elements representing scientific concepts.


Theme 2

Predicting stem cell function in regenerative medicine

Our lab developed a digital spatial transcriptomics-based metric to model stromal-immune cell communication for predicting efficacy in stem cell therapies

Fang et al BME Frontiers – AAAS (2024)
A detailed, informative cartoon-style illustration showing stem cell therapy prediction during regeneration near immune activation; focus on the interaction between stem cells and immune cells without any text or labels. Highlight distinct stem cells, regenerative tissue, and immune cells in an engaging, educational way.


Theme 3

Uncovering immune senescence in aging

Our lab envisions single cell dissection of senescence signatures in a multi-omics fashion to quantify biological senescence beyond chronogical aging

Venkataraman al npj Aging (2024)
A 3D cartoon-style illustration of a few immune cells interacting in a germinal center, showing immunosenescence in immune organs, with no overlaid text or labels anywhere in the image.

Enabling Spatial Biomarkers

We advance cancer, immunity, aging, and chronic diseases through single-cell analysis, spatial omics, and integrative data visualization to uncover mechanisms and accelerate therapies.