计算生物学
转录组
原位
编码(社会科学)
生物
计算机科学
基因
基因表达
遗传学
化学
数学
统计
有机化学
作者
T. Y. Chang,Wuji Han,Mi Jiang,Jizhou Li,Zewen Liao,Mingchuan Tang,Jianyun Zhang,Jie Shen,Zitian Chen,Peng Fei,Xianwen Ren,Yuhong Pang,Guanbo Wang,Jianbin Wang,Yanyi Huang
标识
DOI:10.1073/pnas.2309227120
摘要
Spatial transcriptomics technology has revolutionized our understanding of cell types and tissue organization, opening possibilities for researchers to explore transcript distributions at subcellular levels. However, existing methods have limitations in resolution, sensitivity, or speed. To overcome these challenges, we introduce SPRINTseq (Spatially Resolved and signal-diluted Next-generation Targeted sequencing), an innovative in situ sequencing strategy that combines hybrid block coding and molecular dilution strategies. Our method enables fast and sensitive high-resolution data acquisition, as demonstrated by recovering over 142 million transcripts using a 108-gene panel from 453,843 cells from four mouse brain coronal slices in less than 2 d. Using this advanced technology, we uncover the cellular and subcellular molecular architecture of Alzheimer's disease, providing additional information into abnormal cellular behaviors and their subcellular mRNA distribution. This improved spatial transcriptomics technology holds great promise for exploring complex biological processes and disease mechanisms.
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