Stereo-cell: Spatial enhanced-resolution single-cell sequencing with high-density DNA nanoball-patterned arrays.
作者信息
Liao Sha, Zhou Xiaoxi, Liu Chuanyu, Liu Chang, Hao Shijie, Luo Hongyu, Hou Huan, Liu Qian, Zhang Zhe, Xiao Liyun, Xu Yuan, Huang Yaling, Zhou Sining, Li Xuerong, Wang Yang, Xie Lulin, Zhou Zhichun, Dong Shichen, Wang Yiru, Xu Xiaojing, Guo Pengcheng, Lin Xiumei, Lei Jiajie, Wang Qiaoling, Gong Yuxin, Cheng Jiaming, Yuan Zixin, Yang Yongqing, Huang Zhi, Li Shenglong, Zheng Yuhui, Yang Shichen, Huang Xin, Liu Weiqing, Li Mei, Deng Zhonghan, Yang Xinyu, Yin Jianhua, Luo Yingjie, Lai Yiwei, Yuan Yue, Cheng Mengnan, Wang Bo, Ji Jiansong, Esteban Miguel A, Li Yuxiang, Gu Ying, Ruan Yijun, Chen Liang, Wang Xiangdong, Xie Jun, Wang Jian, Liu Longqi, Chen Ao, Xu Xun
机构信息
State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China.
BGI Research, Shenzhen, China.
出版信息
Science. 2025 Aug 21;389(6762):eadr0475. doi: 10.1126/science.adr0475.
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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