可扩展性
单细胞分析
细胞
计算生物学
仿形(计算机编程)
计算机科学
生物
遗传学
数据库
操作系统
作者
Sha Liao,Xiaoxi Zhou,Chuanyu Liu,Chang Liu,Shijie Hao,Hongyu Luo,Huan Hou,Qian Liu,Zhe Zhang,Liyun Xiao,Yuan Xu,Yaling Huang,Sining Zhou,Xuerong Li,Yang Wang,Lulin Xie,Zhichun Zhou,Shichen Dong,Yiru Wang,Xiaojing Xu
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2025-08-21
卷期号:389 (6762)
被引量:5
标识
DOI:10.1126/science.adr0475
摘要
Single-cell sequencing technologies have advanced our understanding of cellular heterogeneity and biological complexity. However, existing methods face limitations in throughput, capture uniformity, cell size flexibility, and technical extensibility. We present Stereo-cell, a spatial enhanced-resolution single-cell sequencing platform based on high-density DNA nanoball (DNB)–patterned arrays, which enables scalable and unbiased cell capture at a wide input range and supports high-fidelity transcriptome profiling. Stereo-cell further allows integration with imaging-based modalities and multiomics strategies, including immunofluorescence and epitope profiling. This platform is also compatible with profiling extracellular vesicles, microstructures, and large cells, whereas its spatial resolution facilitates in situ analysis of cell-cell interactions, cellular microenvironments, and subcellular transcript localization. Together, Stereo-cell provides a flexible framework for expanding single-cell research applications.
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