Rapid, Robust, and Routine: Multiplexed Microscopy for Spatially Resolved Whole-Transcriptomic Single-Cell Profiling and the Construction of Cell Atlases of all Tissues and in all Organisms

快速、稳健和常规：用于空间分辨全转录组单细胞分析和所有组织和所有生物体细胞图谱构建的多重显微镜

• 批准号: 10494105
• 负责人: Jeffrey Moffitt
• 金额: $ 34.79万
• 依托单位: BOSTON CHILDREN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-24 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10494105
• 关键词: Address; Adoption; Algorithms; Area; Atlases; Bar Codes; Behavior; Biological; Biomedical Research; Brain; Catalogs; Categories; Cell Count; Cell Culture Techniques; Cell physiology; Cells; Clinical; Color; DNA; Data Analyses; Data Collection; Data Compression; Excision; Exons; Fluorescence; Fluorescence Microscopy; Fluorescent in Situ Hybridization; Formalin; Gene Expression; Genome; Image; Image Compression; In Situ; Individual; Kinetics; Life; Location; Maps; Measurement; Measures; Methodology; Methods; Microscopy; Modification; Molecular; Morphology; Names; Organism; Paraffin Embedding; Performance; Phylogenetic Analysis; Preparation; Protein Isoforms; Protocols documentation; Quality Control; RNA; RNA Splicing; Resolution; Retrieval; Role; Sampling; Scheme; Signal Transduction; Speed; Stains; Synapses; Techniques; Technology; Time; Tissue Embedding; Tissue Harvesting; Tissues; Variant; base; cell behavior; cell type; cost; design; imaging approach; improved; microbial community; microscopic imaging; molecular imaging; molecular scale; novel; novel strategies; sample archive; sample fixation; single molecule; single-cell RNA sequencing; submicron; tissue preparation; tool; transcriptome; transcriptomics; tumorigenesis

Image-based approaches to single-cell transcriptomics represent one of the most exciting emerging biomedical research tools. These technologies leverage massively multiplexed single-molecule RNA imaging to provide a direct measure of not just the expression profile of every cell within intact samples but also the location of every RNA molecule within those cells. As such, these techniques combine the ability of single-cell RNA sequencing to generate whole-transcriptome expression measurements and discover and catalog cell types, states, and lineage with the ability of high-resolution, fluorescence microscopy to interrogate the molecular organization of cells, define their morphology, and reveal their interactions and organization. Thus, in situ transcriptome-scale molecular imaging promises advances in a vast array of topics, from the role of intracellular RNA organization in synaptic remodeling, to the spatial organization of commensal microbial communities and its effect on host gene expression, to the modulatory role of the microenvironment in tumorigenesis, to name only a few examples. One image-based single-cell transcriptomics technique—MERFISH (multiplexed error robust fluorescence in situ hybridization)—has emerged as a leading technology given its high resolution, high capture efficiency, single-molecule sensitivity, and unparalleled throughput combined with its proven ability to map the intracellular organization of large fractions of the transcriptome and discover, functionally annotate, and map cell types within intact tissues. However, MERFISH remains a nascent technology, and to fully unlock the transformative potential of both MERFISH and spatially resolved single-cell transcriptomics in general, this technology must be matured. First, MERFISH must be made whole-transcriptome. Multiplexing is not the barrier, rather several RNA categories—highly expressed RNAs, short RNAs, and highly homologous RNAs—remain challenging for this technique. Through a combination of new experimental and computational advances, we will extend MERFISH to these categories, creating whole-transcriptome MERFISH and allowing hypothesis-free discovery. Second, the biological demands for single-cell throughput are staggering, as even small tissues often contain tens of millions of cells. By combining new sample preparation techniques, an emerging approach to ultra-high- throughput microscopy, and advanced image storage and analysis tools, we will increase the throughput of MERFISH by orders of magnitude, allowing characterization of large tissue areas and tens of millions of cells. Finally, the transformative potential for whole-transcriptome imaging could be very broad, yet MERFISH has been validated in only a few tissues. Thus, we will provide a robust suite of sample preparation protocols and quality metrics to make routine the application of MERFISH to all tissues and organisms. Here we will unlock the potential of this emerging technique by delivering rapid, robust, and routine whole- transcriptome MERFISH. As gene expression is key to cellular identity and behavior in all domains of life, this general tool could empower a truly remarkable range of basic and translational biomedical research.

基于图像的单细胞转录分离方法代表了最令人兴奋的新兴生物医学之一 研究工具。这些技术利用大规模多路复用的单分子RNA成像来提供 不仅直接测量完整样本中每个细胞的表达谱，而且还测量每个细胞的位置 这些细胞内的RNA分子。因此，这些技术结合了单细胞RNA测序的能力 生成完整的转录组表达测量并发现和分类细胞类型、状态和 具有高分辨率荧光显微镜询问分子组织的能力的谱系 细胞，定义它们的形态，并揭示它们的相互作用和组织。因此，原位转录组规模 分子成像有望在一系列主题上取得进展，从细胞内RNA组织在 突触重构对共生微生物群落的空间组织及其对宿主基因的影响 表达，微环境在肿瘤发生中的调节作用，仅举几个例子。 一种基于图像的单细胞转录切割技术--MerFish(多路错误稳健荧光 原位杂交)--由于其高分辨率、高捕获效率、 单分子灵敏度和无与伦比的吞吐量，再加上其成熟的细胞内映射能力 组织转录组的大部分，并在其中发现、功能注释和绘制细胞类型 完整的组织。然而，MerFish仍然是一项新兴技术，要充分释放变革的潜力 总体而言，对于MerFish和空间分辨单细胞转录组来说，这项技术必须成熟。 首先，美人鱼必须是完整的转录组。多路传输并不是障碍，而是几个RNA 类别-高表达的RNA、短RNA和高度同源的RNA-对此仍然具有挑战性 技术。通过结合新的实验和计算进展，我们将扩展MerFish 创造了完整的转录组，并允许在没有假设的情况下发现。 其次，单细胞吞吐能力的生物学需求是惊人的，因为即使是小组织通常也含有 数千万个细胞。通过结合新的样品制备技术，一种新的超高分辨率的方法- 吞吐量显微镜，以及先进的图像存储和分析工具，我们将提高 大小数量级的墨鱼，可以刻画大面积的组织区域和数以千万计的细胞。 最后，全转录组成像的变革潜力可能非常广阔，但MerFish已经 只在几个组织中得到了验证。因此，我们将提供一套强大的样品制备方案和 质量指标使墨鱼在所有组织和生物中的应用成为常规。 在这里，我们将通过提供快速、强大和常规的整体来释放这一新兴技术的潜力- 转录本：美人鱼。由于基因表达是生命所有领域中细胞身份和行为的关键，这 通用工具可以为一系列真正了不起的基础和转化性生物医学研究提供支持。