Department of Mechanical Engineering, California Institute of Technology, Pasadena, CA, USA.
Allen Institute for Brain Science, Seattle, WA, USA.
Nature. 2021 Oct;598(7879):195-199. doi: 10.1038/s41586-021-03969-3. Epub 2021 Oct 6.
Full-length SMART-seq single-cell RNA sequencing can be used to measure gene expression at isoform resolution, making possible the identification of specific isoform markers for different cell types. Used in conjunction with spatial RNA capture and gene-tagging methods, this enables the inference of spatially resolved isoform expression for different cell types. Here, in a comprehensive analysis of 6,160 mouse primary motor cortex cells assayed with SMART-seq, 280,327 cells assayed with MERFISH and 94,162 cells assayed with 10x Genomics sequencing, we find examples of isoform specificity in cell types-including isoform shifts between cell types that are masked in gene-level analysis-as well as examples of transcriptional regulation. Additionally, we show that isoform specificity helps to refine cell types, and that a multi-platform analysis of single-cell transcriptomic data leveraging multiple measurements provides a comprehensive atlas of transcription in the mouse primary motor cortex that improves on the possibilities offered by any single technology.
全长 SMART-seq 单细胞 RNA 测序可用于以异构体分辨率测量基因表达,从而能够为不同细胞类型鉴定特定的异构体标记。与空间 RNA 捕获和基因标记方法结合使用,这使得能够推断不同细胞类型的空间分辨异构体表达。在这里,在对用 SMART-seq 检测的 6,160 个小鼠原代运动皮层细胞、用 MERFISH 检测的 280,327 个细胞和用 10x Genomics 测序检测的 94,162 个细胞进行的全面分析中,我们发现了细胞类型中异构体特异性的例子,包括在基因水平分析中被掩盖的细胞类型之间的异构体转变,以及转录调控的例子。此外,我们表明异构体特异性有助于细化细胞类型,并且利用多个测量值对单细胞转录组数据进行多平台分析可以提供小鼠原代运动皮层转录的综合图谱,这优于任何单一技术提供的可能性。