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改良的原位测序技术用于组织切片中高分辨率靶向空间转录组学分析。

Improved in situ sequencing for high-resolution targeted spatial transcriptomic analysis in tissue sections.

机构信息

School of Medicine and School of Biomedical Sciences, Huaqiao University, Quanzhou, Fujian 362021, China.

Department of Pathology, The 910 Hospital, Quanzhou, Fujian 362000, China.

出版信息

J Genet Genomics. 2023 Sep;50(9):652-660. doi: 10.1016/j.jgg.2023.02.004. Epub 2023 Feb 15.

Abstract

Spatial transcriptomics enables the study of localization-indexed gene expression activity in tissues, providing the transcriptional landscape that in turn indicates the potential regulatory networks of gene expression. In situ sequencing (ISS) is a targeted spatial transcriptomic technique, based on padlock probe and rolling circle amplification combined with next-generation sequencing chemistry, for highly multiplexed in situ gene expression profiling. Here, we present improved in situ sequencing (IISS) that exploits a new probing and barcoding approach, combined with advanced image analysis pipelines for high-resolution targeted spatial gene expression profiling. We develop an improved combinatorial probe anchor ligation chemistry using a 2-base encoding strategy for barcode interrogation. The new encoding strategy results in higher signal intensity as well as improved specificity for in situ sequencing, while maintaining a streamlined analysis pipeline for targeted spatial transcriptomics. We show that IISS can be applied to both fresh frozen tissue and formalin-fixed paraffin-embedded tissue sections for single-cell level spatial gene expression analysis, based on which the developmental trajectory and cell-cell communication networks can also be constructed.

摘要

空间转录组学能够研究组织中定位索引的基因表达活性,提供转录景观,进而指示基因表达的潜在调控网络。原位测序(ISS)是一种基于发夹探针和滚环扩增与下一代测序化学相结合的靶向空间转录组学技术,可实现高度多重化的原位基因表达谱分析。在这里,我们提出了改进的原位测序(IISS),它利用了新的探测和条形码方法,并结合了先进的图像分析管道,用于高分辨率靶向空间基因表达谱分析。我们开发了一种改进的组合探针锚定连接化学,使用 2 个碱基编码策略进行条形码检测。新的编码策略可提高原位测序的信号强度和特异性,同时保持针对靶向空间转录组学的简化分析管道。我们表明,IISS 可应用于新鲜冷冻组织和福尔马林固定石蜡包埋组织切片,用于单细胞水平的空间基因表达分析,在此基础上还可以构建发育轨迹和细胞间通讯网络。

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