NanoString Technologies, Seattle, Washington 98109, USA.
Genome Res. 2022 Oct;32(10):1892-1905. doi: 10.1101/gr.276206.121. Epub 2022 Sep 13.
Emerging spatial profiling technology has enabled high-plex molecular profiling in biological tissues, preserving the spatial and morphological context of gene expression. Here, we describe expanding the chemistry for the Digital Spatial Profiling platform to quantify whole transcriptomes in human and mouse tissues using a wide range of spatial profiling strategies and sample types. We designed multiplexed in situ hybridization probes targeting the protein-coding genes of the human and mouse transcriptomes, referred to as the human or mouse Whole Transcriptome Atlas (WTA). Human and mouse WTAs were validated in cell lines for concordance with orthogonal gene expression profiling methods in regions ranging from ∼10-500 cells. By benchmarking against bulk RNA-seq and fluorescence in situ hybridization, we show robust transcript detection down to ∼100 transcripts per region. To assess the performance of WTA across tissue and sample types, we applied WTA to biological questions in cancer, molecular pathology, and developmental biology. Spatial profiling with WTA detected expected gene expression differences between tumor and tumor microenvironment, identified disease-specific gene expression heterogeneity in histological structures of the human kidney, and comprehensively mapped transcriptional programs in anatomical substructures of nine organs in the developing mouse embryo. Digital Spatial Profiling technology with the WTA assays provides a flexible method for spatial whole transcriptome profiling applicable to diverse tissue types and biological contexts.
新兴的空间分析技术使在生物组织中进行高通量分子分析成为可能,同时保留了基因表达的空间和形态学背景。在这里,我们描述了对数字空间分析平台的化学方法进行扩展,以使用广泛的空间分析策略和样本类型来定量分析人类和小鼠组织中的全转录组。我们设计了针对人类和小鼠转录组的蛋白质编码基因的多重原位杂交探针,称为人类或小鼠全转录组图谱(WTA)。人类和小鼠 WTA 在细胞系中进行了验证,以与从 ∼10-500 个细胞的区域内的正交基因表达分析方法的一致性。通过与批量 RNA-seq 和荧光原位杂交的基准测试,我们证明了在每个区域有 ∼100 个转录本的情况下具有强大的转录本检测能力。为了评估 WTA 在不同组织和样本类型中的性能,我们将 WTA 应用于癌症、分子病理学和发育生物学中的生物学问题。WTA 的空间分析检测到肿瘤和肿瘤微环境之间预期的基因表达差异,在人类肾脏的组织学结构中识别出特定疾病的基因表达异质性,并全面绘制了发育中老鼠胚胎的九个器官的解剖亚结构中的转录程序。带有 WTA 检测的数字空间分析技术为空间全转录组分析提供了一种灵活的方法,适用于多种组织类型和生物学背景。