bioRxivBioengineeringPreprint
Live Spatial Transcriptomics Enables Longitudinal Tissue Mapping
David E. Reynolds, Sangmo Lee, Chin Nien LeeiD, Shailesh Senthil KumariD, Shujing LiuiD, Emily HuynhiD, Hyoyong Kim, Vladlena HornetiD, Daniel Oh, Sydney Bracht, Renee‐Tyler T. MoralesiD, Phoebe Vallapureddy, Jianhua Lim, Renis J. Agosto Nieves, Junhyong KimiD, Sydney Shaffer, Yoon Ho RohiD, Xiaowei XuiD, Yanxiang DengiD, Jina KoiD
Abstract
Spatial transcriptomics has become an important technology in biomedical research by preserving the spatial context of gene expression in tissues and enabling the study of cellular states and interactions in situ. However, most existing methods provide only static snapshots of individual tissue specimens, requiring inference of the molecular dynamics underlying development, disease progression, and therapeutic response from different specimens rather than direct tracking in the same living tissue. Here, we introduce Live Spatial Transcriptomics (Live-ST), a technology that enables longitudinal, transcriptome-wide profiling of living tissue. Live-ST combines electroporation-based intracellular sampling and spatial barcoding to enable repeated, spatially resolved mRNA measurements in intact living tissue through next-generation sequencing. We demonstrate its capabilities by (i) benchmarking spatial mRNA capture in patterned two-dimensional cell systems, (ii) spatially profiling transcriptomes in intact, patient-derived living melanoma tissues while preserving tissue viability, and (iii) longitudinally tracking drug-response dynamics within the tumor microenvironment. Together, Live-ST enables repeated, non-destructive measurements of spatial gene expression, providing a new framework for studying dynamic tissue biology in native physiological and pathological contexts.
- organism: human
- assay: spatial transcriptomics
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 0
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