PO.MCB07.03 · 分子与细胞生物学

通过在时空维度上探索全转录组解锁小鼠研究新前沿——聚焦小鼠胚胎E11–E14期

Unlocking new frontiers in mouse research by exploring the whole-transcriptome in space and time with mouse embryo stages E11 - E14

海报缩略图:通过在时空维度上探索全转录组解锁小鼠研究新前沿——聚焦小鼠胚胎E11–E14期
编号 5953 展板 8 时间 4/21 02:00–05:00 区域 Section 22 主讲 Shanshan He, MD;PhD
分会场 Mechanisms and Dynamics of Gene Expression
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作者与单位 Authors & Affiliations

Michael Patrick, Liang Zhang, Isabel Lee, Shanshan He, Martin Shelton, John Lyssand, Joseph M. Beechem

Bruker Spatial Biology, Seattle, WA

摘要 Abstract

中文摘要
Bruker Spatial Biology推出CosMx®小鼠全转录组检测(Mouse Whole Transcriptome Assay):一个包含21,242个基因的panel,覆盖整个蛋白编码小鼠转录组。CosMx空间分子成像仪(SMI)是一款首创性仪器,可提供空间分辨的单细胞转录组分析,其规模比任何其他商用系统高一个数量级。本研究使用CosMx小鼠全转录组(WTX)检测的开发批次,分析了四个FFPE小鼠胚胎切片——E11、E12、E13和E14。在RNA分析之前,每张玻片均以PanCK、CD3、CD45、CD298/B2M和DAPI组成的5通道分割鸡尾酒进行染色。细胞根据DAPI的存在以及所有四种分割标志物的组合叠加进行分割,采用基于开源平台CellPose的机器学习算法,该算法在CosMx SMI上以十余种人和小鼠组织类型收集的染色信息进行训练。RNA转录本通过多重条形码策略解码,其中各个ISH探针在39个报告序列中被分配唯一条形码,此策略是同时在空间中检测两万余个靶标的关键。CosMx小鼠WTX检测揭示了每个小鼠样本前所未有的信息深度。对每个胚胎进行细胞分型以识别每个发育中的器官,并利用生态位(niche)分析识别各时间点特有的空间邻域。通过在各时间点比较全转录组范围内的局部基因表达,详细探究了这些时间点中特定器官(如视网膜、肝脏、性腺和心脏)的发育,从而为胚胎发育提供了独特的四维视窗(三个空间维度、一个时间维度),并具有空间转录组学无与伦比的分辨率。利用每个细胞可获得的高基因数,为每张玻片分配了单细胞通路评分,并用差异表达来量化各时间点上调的通路。采用Insitucor等无偏空间算法,根据邻近细胞归一化表达来识别局部基因模块表达;采用Insitudiff等疾病/对照扰动算法,揭示由相对于E11的较晚时间点基因扰动所定义的空间域。CosMx小鼠WTX检测提供了一个首创的机会,可利用超过20,000个空间分辨基因在四个维度上考察小鼠胚胎的发育。本项小鼠胚胎发育研究首次展示了全转录组小鼠panel可为包括癌症研究在内的研究人员解锁的无限应用。
查看英文原文 English abstract
Bruker Spatial Biology introduces the CosMx® Mouse Whole Transcriptome Assay: a 21,242 gene panel that covers the entirety of the protein-coding mouse transcriptome. CosMx Spatial Molecular Imager (SMI) is a first-in-class instrument that offers spatially resolved, single-cell transcriptomic analysis at a scale an order of magnitude greater than any other commercially available system. This study profiles four FFPE mouse embryo sections - E11, E12, E13, and E14 - using a development lot of CosMx Mouse Whole Transcriptome (WTX) Assay. Each slide was stained with a 5-channel segmentation cocktail of PanCK, CD3, CD45, CD298/B2M, and DAPI prior to RNA profiling. Cells are segmented according to presence of DAPI and a combined overlay of all four segmentation markers using a machine learning algorithm based on the open-source platform CellPose, trained on staining information collected on over a dozen human and mouse tissue types on CosMx SMI. RNA transcripts are decoded using a multiplexed barcoding strategy where individual ISH probes are assigned unique barcode across 39 reporter sequences, a strategy that is key to allowing over twenty-thousand targets to be detected simultaneously in space. The CosMx Mouse WTX Assay unveils an unprecedented depth of information on each mouse sample. Cell typing was performed on each embryo to identify each developing organ, and niche analysis was used to identify spatial neighborhoods unique to each timepoint. The development of specific organs during these timepoints, such as the retina, liver, gonads, and heart, are interrogated in detail by comparing localized gene expression across the whole transcriptome throughout timepoints, offering a unique four-dimensional window (three spatial dimensions, one time dimension) into embryonic development with the unparalleled resolution of spatial transcriptomics. Capitalizing on the high number of genes available per cell, single cell pathway scores were assigned to each slide, and differential expression was used to quantify which pathways are upregulated at each timepoint. Unbiased spatial algorithms such as Insitucor were used to identify localized gene module expression based on normalized expression across nearby cells, and disease/control perturbation algorithms such as Insitudiff revealed spatial domains defined by gene perturbations of later timepoints relative to E11. CosMx Mouse WTX Assay delivers a first-of-its-kind opportunity to examine the development of mouse embryos in four dimensions using >20,000 spatially resolved genes. This study on mouse embryo development provides a first look at the limitless applications that a whole-transcriptome mouse panel can unlock for researchers including cancer research.
利益披露 Disclosure
M. Patrick, None.. L. Zhang, None.. I. Lee, None.. S. He, None.. M. Shelton, None.. J. Lyssand, None.. J. M. Beechem, None.

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