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Seq-Scope 方案:将 Illumina 测序流动槽重新用于高分辨率空间转录组学

Seq-Scope Protocol: Repurposing Illumina Sequencing Flow Cells for High-Resolution Spatial Transcriptomics.

作者信息

Kim Yongsung, Cheng Weiqiu, Cho Chun-Seok, Hwang Yongha, Si Yichen, Park Anna, Schrank Mitchell, Hsu Jer-En, Xi Jingyue, Kim Myungjin, Pedersen Ellen, Koues Olivia I, Wilson Thomas, Jun Goo, Kang Hyun Min, Lee Jun Hee

机构信息

Department of Molecular & Integrative Physiology, University of Michigan Medical School.

Department of Biostatistics, University of Michigan School of Public Health.

出版信息

bioRxiv. 2024 Apr 1:2024.03.29.587285. doi: 10.1101/2024.03.29.587285.

Abstract

Spatial transcriptomics (ST) technologies represent a significant advance in gene expression studies, aiming to profile the entire transcriptome from a single histological slide. These techniques are designed to overcome the constraints faced by traditional methods such as immunostaining and RNA hybridization, which are capable of analyzing only a few target genes simultaneously. However, the application of ST in histopathological analysis is also limited by several factors, including low resolution, a limited range of genes, scalability issues, high cost, and the need for sophisticated equipment and complex methodologies. Seq-Scope-a recently developed novel technology-repurposes the Illumina sequencing platform for high-resolution, high-content spatial transcriptome analysis, thereby overcoming these limitations. Here we provide a detailed step-by-step protocol to implement Seq-Scope with an Illumina NovaSeq 6000 sequencing flow cell that allows for the profiling of multiple tissue sections in an area of 7 mm × 7 mm or larger. In addition to detailing how to prepare a frozen tissue section for both histological imaging and sequencing library preparation, we provide comprehensive instructions and a streamlined computational pipeline to integrate histological and transcriptomic data for high-resolution spatial analysis. This includes the use of conventional software tools for single cell and spatial analysis, as well as our recently developed segmentation-free method for analyzing spatial data at submicrometer resolution. Given its adaptability across various biological tissues, Seq-Scope establishes itself as an invaluable tool for researchers in molecular biology and histology.

摘要

空间转录组学(ST)技术是基因表达研究中的一项重大进展,旨在从单个组织学切片中描绘整个转录组。这些技术旨在克服传统方法(如免疫染色和RNA杂交)所面临的限制,传统方法只能同时分析少数目标基因。然而,ST在组织病理学分析中的应用也受到几个因素的限制,包括分辨率低、基因范围有限、可扩展性问题、成本高以及需要精密设备和复杂方法。Seq-Scope——一种最近开发的新技术——将Illumina测序平台重新用于高分辨率、高含量的空间转录组分析,从而克服了这些限制。在这里,我们提供了一个详细的分步方案,以使用Illumina NovaSeq 6000测序流动槽实现Seq-Scope,该流动槽允许在7毫米×7毫米或更大的区域内对多个组织切片进行分析。除了详细说明如何为组织学成像和测序文库制备准备冷冻组织切片外,我们还提供了全面的指导和简化的计算流程,以整合组织学和转录组数据进行高分辨率空间分析。这包括使用用于单细胞和空间分析的传统软件工具,以及我们最近开发的用于在亚微米分辨率下分析空间数据的无分割方法。鉴于其在各种生物组织中的适应性,Seq-Scope成为分子生物学和组织学研究人员的宝贵工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e322/11014489/212d7a587b98/nihpp-2024.03.29.587285v1-f0001.jpg

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