使用STARmap PLUS, RIBOmap和TEMPOmap在完整细胞和组织的转录组尺度上进行mRNA生命周期的空间分辨原位分析。

IF 16 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Jingyi Ren, Hu Zeng, Jiahao Huang, Jiakun Tian, Morgan Wu, Hailing Shi, Xin Sui, Connie Kangni Wang, Haowen Zhou, Zefang Tang, Shuchen Luo, Xiao Wang
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引用次数: 0

摘要

控制基因表达程序在塑造细胞功能和活动中起着至关重要的作用。这个过程的核心是RNA生命周期,确保蛋白质产物在正确的时间在正确的地方合成。在这里,我们详细介绍了一种基于成像的空间转录组高复用原位分析的集成方案,该方案使用基于抗体的蛋白质比较(STARmap PLUS)、空间翻译组作图(RIBOmap)和时空转录组作图(TEMPOmap)。这些方法选择性地将靶向rna、核糖体结合的mrna或代谢标记的rna转化为具有基因独特条形码的DNA扩增子,这些扩增子通过共聚焦显微镜下的原位测序读出。与其他方法相比,它们提供了跟踪完整细胞和组织中数千种RNA物种时空动态的分析能力。我们的方案可以很容易地在实验室进行经验丰富的RNA工作,并配备了共聚焦显微镜仪器。制备扩增子文库的湿式实验室实验需要2-3天,然后根据样本量和靶基因数量进行可变测序时间。空间分辨的单细胞图谱可以进行下游分析,包括细胞类型分类、细胞周期鉴定和RNA生命周期动力学参数的确定,通过建立的教程指导下的计算分析。这个空间组学工具包将帮助用户更好地理解异质细胞和组织中的空间和时间RNA动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatially resolved in situ profiling of mRNA life cycle at transcriptome scale in intact cells and tissues using STARmap PLUS, RIBOmap and TEMPOmap.

Controlled gene expression programs have a crucial role in shaping cellular functions and activities. At the core of this process lies the RNA life cycle, ensuring protein products are synthesized in the right place at the right time. Here we detail an integrated protocol for imaging-based highly multiplexed in situ profiling of spatial transcriptome using antibody-based protein comapping (STARmap PLUS), spatial translatome mapping (RIBOmap) and spatiotemporal transcriptome mapping (TEMPOmap). These methods selectively convert targeted RNAs, ribosome-bound mRNAs or metabolically labeled RNAs to DNA amplicons with gene-unique barcodes, which are read out through in situ sequencing under a confocal microscope. Compared with other methods, they provide the analytical capacity to track the spatial and temporal dynamics of thousands of RNA species in intact cells and tissues. Our protocol can be readily performed in laboratories experienced in working with RNA and equipped with confocal microscopy instruments. The wet lab experiments in preparing the amplicon library take 2-3 d, followed by variable sequencing times depending on the sample size and target gene number. The spatially resolved single-cell profiles enable downstream analysis, including cell type classification, cell cycle identification and determination of RNA life cycle kinetic parameters through computational analysis guided by the established tutorials. This spatial omics toolkit will help users to better understand spatial and temporal RNA dynamics in heterogeneous cells and tissues.

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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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