Suppr超能文献

基于组织中多重化确定性条形码的空间转录组学

Spatial transcriptomics using multiplexed deterministic barcoding in tissue.

机构信息

Helmholtz Pioneer Campus, Helmholtz Munich, Munich, Germany.

TUM School of Medicine, Technical University of Munich, Munich, Germany.

出版信息

Nat Commun. 2023 Mar 18;14(1):1523. doi: 10.1038/s41467-023-37111-w.

Abstract

Spatially resolved transcriptomics of tissue sections enables advances in fundamental and applied biomedical research. Here, we present Multiplexed Deterministic Barcoding in Tissue (xDBiT) to acquire spatially resolved transcriptomes of nine tissue sections in parallel. New microfluidic chips were developed to spatially encode mRNAs over a total tissue area of 1.17 cm with a 50 µm resolution. Optimization of the biochemical protocol increased read and gene counts per spot by one order of magnitude compared to previous reports. Furthermore, the introduction of alignment markers allowed seamless registration of images and spatial transcriptomic spots. Together with technological advances, we provide an open-source computational pipeline to prepare raw sequencing data for downstream analysis. The functionality of xDBiT was demonstrated by acquiring 16 spatially resolved transcriptomic datasets from five different murine organs, including the cerebellum, liver, kidney, spleen, and heart. Factor analysis and deconvolution of spatial transcriptomes allowed for in-depth characterization of the murine kidney.

摘要

组织切片的空间转录组学能够推动基础和应用生物医学研究的发展。在这里,我们提出了 Multiplexed Deterministic Barcoding in Tissue (xDBiT),能够同时对 9 个组织切片进行空间转录组分析。我们开发了新的微流控芯片,能够以 50μm 的分辨率在总共 1.17cm²的组织区域上对 mRNA 进行空间编码。与之前的报告相比,生物化学方案的优化使每个点的读取和基因计数增加了一个数量级。此外,引入对齐标记允许无缝注册图像和空间转录组斑点。结合技术进步,我们提供了一个开源的计算流程,用于准备原始测序数据进行下游分析。我们通过从五个不同的小鼠器官(包括小脑、肝脏、肾脏、脾脏和心脏)获取 16 个空间转录组数据集,证明了 xDBiT 的功能。空间转录组的因子分析和去卷积允许对小鼠肾脏进行深入的特征描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0f3/10024691/c06d5d0cfb05/41467_2023_37111_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验