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Kim, M.

Publications and source records attributed to Kim, M..

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DNA Sequence-Programmed Protein Coronas Determine Intracellular Fate and Proteostatic Stress of Carbon Nanotubes

Single-walled carbon nanotubes (SWCNTs) show promise for optical biosensing, imaging, and drug delivery, but turning them into safe, precision nanomedicine tools requires understanding how nanotube surface chemistry dictates recognition and processing by cells. Like other nanomaterials, carbon nanotubes acquire a biomolecular corona on contact with biological fluids, and corona identity is increasingly recognized as central to sensor performance and drug delivery efficacy. However, whether corona identity also governs the intracellular fate of carbon nanotubes remains largely unknown. Here, we show that the single-stranded DNA wrapping of (6,5)-enriched single-walled carbon nanotubes reprograms their protein corona, intracellular trafficking, and macrophage response. By profiling (AT)15, (GT)15, and (CT)15 wrapped SWCNTs, we show that the wrapping sequence programs both the protein corona and the resulting proteostatic stress on macrophages. Photoluminescence imaging and confocal Raman measurements reported that (AT)15 is internalized the most yet leaves the proteome and nanotube structure largely undisturbed, whereas (CT)15, taken up the least, undergoes the most aggressive intracellular degradation and drives the highest oxidative and proteostatic stress. Corona proteomics indicated that all three tested nanotubes form coronas with distinct functional identities that are responsible for divergent intracellular routes. Time-resolved intracellular proteomics combined with functional assays resolved how the host cell reorganizes its biomolecular complexity over time, including oxidative outputs, aside from a sequence-independent core response involving particle engagement, phagosomal sorting, and lysosomal processing. These findings provide mechanistic insight into nanomaterial-cell interactions and the wrapping sequence as a tunable, nucleotide-level design handle for controlling the intracellular fate of carbon nanomaterials, with potential implications for safe and effective nanomedicine platforms.

bioengineering

Spatial Mapping of the Lung Cancer Ecosystem Reveals Distinct Patterns of Intratumoral and Internodular Heterogeneity

The spatial organization of malignant and non-malignant cells within the tumor microenvironment (TME) critically influences tumor evolution and therapeutic response. However, the architecture of micro-niches remains incompletely understood. Leveraging Xenium-based spatial transcriptomics, we comprehensively mapped the spatial ecosystem of an orthotopic murine lung cancer model, identifying distinct spatial domains that form unique, organized cellular neighborhoods. These domains cluster into three major communities: (1) non-tumoral regions that recapitulate canonical normal lung structures; (2) a heterogeneous peri-tumoral region composed of spatial domains characterized by mesenchymal remodeling, active immune checkpoint signaling, and immunosuppressive myeloid populations; and (3) intra-tumoral regions that reveal marked tumor nodule heterogeneity, with unique tumor-specific domains exhibiting hallmark cancer pathways. Furthermore, our analytic approach was applicable to human lung cancer tissue. Notably, spatial domain analysis allowed us to resolve tumor nodules into multiple biologically distinct subtypes, defined by domain composition, hallmark cancer programs, and intercellular communication patterns within the TME.

cancer biology