生物
RNA序列
计算生物学
高分辨率
遗传学
进化生物学
转录组
遥感
基因
基因表达
地质学
作者
Yu Zhao,Young Li,Ying He,Junqi Wu,Yi Liu,Xinxing Li,Zhaoxun Li,Qiaomei Yuan,Jialuo Li,Xinya Zhang,Xiaole Hu,Guifang Wu,Ying Qiu,Jie Yuan,Xin Huang,Ming Xu,Mei Yang,Jing Guo,Tingting Cao,Qiuling Chen
出处
期刊:Cell
[Elsevier]
日期:2025-08-01
被引量:6
标识
DOI:10.1016/j.cell.2025.08.008
摘要
Performing total RNA profiling on formalin-fixed, paraffin-embedded (FFPE) samples, the predominant sample conservation method in clinical practice, remains challenging for current spatial transcriptomics techniques. Here, we introduce Stereo-seq V2, which employs random primers to capture and sequence RNAs in situ on FFPE sections and provides single-cell resolution. The random-priming-based strategy offers unbiased transcript capturing and uniform gene body coverage, which increase the sensitivity to marker genes, the efficiency of non-polyadenylation (poly(A)) RNA profiling, and immune repertoire coverage. We demonstrated the robust performance of Stereo-seq V2 on clinical FFPE samples using triple-negative breast cancer (TNBC) sections and identified tumor-specific alternative splicing events. In a Mycobacterium tuberculosis (Mtb)-infected mouse model, we monitored gene expression dynamics of host and pathogen transcriptomes simultaneously by utilizing Stereo-seq V2. We also assembled immune repertoires and identified Mtb-specific BCR clones, which could also be observed in human tuberculous lung samples. These results highlight Stereo-seq V2's potential in biomedical research and personalized medicine.
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