转录组
计算生物学
生物
仿形(计算机编程)
核糖核酸
DNA
免疫疗法
基因表达谱
DNA测序
RNA序列
高分辨率
基因
图像分辨率
超分辨率
细胞
空间分析
基因组学
肿瘤微环境
深度测序
基因组
作者
Jiao Cao,Jun Zeng,Yiwei Meng,Shanqing Huang,Jing Zhang,Xing Fang,Yang Guo,Weixiong Shi,Yutong Liu,Zhong Zheng,Jianchen Fang,Xuepeng Xiong,Gang Chen,Lingling Wu,Chaoyong Yang
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2025-09-16
被引量:1
标识
DOI:10.1101/2025.09.12.675967
摘要
Abstract Formalin-fixed paraffin-embedded (FFPE) tissue-compatible spatial transcriptomics (ST) is transforming biology and histopathology, but achieving high sensitivity, genome-wide coverage, single-cell resolution and researcher-accessibility remains challenging. Here, we present a dendrimeric DNA coordinate-barcoding design for FFPE-adapted spatial RNA sequencing (Decoder-FFPE-seq), by integrating RNA-to-DNA probe conversion with blotting-assisted barcoding. Decoder-FFPE-seq provides single-cell resolution with a 2.54-4.25-fold sensitivity increase in mouse brain transcriptomic profiling over similar assays with an available protocol, successfully mapping rare genes and sparse cell types. It robustly resolves tumor microenvironments (TMEs) in clinical archives preserved 6-20 years. With expanded probe libraries, Decoder-FFPE-seq captures long non-coding and viral RNAs, revealing spatial co-expression networks with mRNAs in oral squamous cell carcinomas (OSCCs). In an OSCC immunotherapy cohort, it delineates TME heterogeneity across pathology response groups and tracks spatial cellular dynamics pre- and post-immuno-chemotherapy. Decoder-FFPE-seq establishes a robust, high-resolution framework for sensitive ST profiling in fundamental and translational studies of archival tissues.
科研通智能强力驱动
Strongly Powered by AbleSci AI