Расширение пространственной стеноскопии для крупных тканей: обнаружение архитектуры тканей клеточного уровня за пределами обычных платформ с iSCALE.
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Schroeder Amelia, Loth Melanie L, Luo Chunyu, Yao Sicong, Yan Hanying, Zhang Daiwei, Piya Sarbottam, Plowey Edward, Hu Wenxing, Clemenceau Jean R, Jang Inyeop, Kim Minji, Barnfather Isabel, Chan Su Jing, Reynolds Taylor L, Carlile Thomas, Cullen Patrick, Sung Ji-Youn, Tsai Hui-Hsin, Park Jeong Hwan, Hwang Tae Hyun, Zhang Baohong, Li Mingyao
Аннотация
Оригинал публикации
Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE.
Recent advances in spatial transcriptomics (ST) technologies have transformed our ability to profile gene expression while preserving crucial spatial context within tissues. However, existing ST platforms are constrained by high costs, long turnaround times, low resolution, limited gene coverage and inherently small tissue capture areas, which hinder their broad applications. Here we present iSCALE, a method that reconstructs large-scale, super-resolution gene expression landscapes and automatically annotates cellular-level tissue architecture in samples exceeding capture areas of current ST platforms. The performance of iSCALE was assessed by comprehensive evaluations involving benchmarking experiments, immunohistochemistry staining and manual annotations by pathologists. When applied to multiple sclerosis human brain samples, iSCALE uncovered lesion-associated cellular characteristics undetectable by conventional ST experiments. Our results demonstrate the utility of iSCALE in analyzing large tissues by enabling unbiased annotation, resolving cell type composition, mapping cellular microenvironments and revealing spatial features beyond the reach of standard ST analysis or routine histopathological assessment.