High Capacity UltraFISH for Single-cell Spatial Transcriptomics

用于单细胞空间转录组学的高容量 UltraFISH

• 批准号: 9909612
• 负责人: Wei Zhang
• 金额: $ 49.92万
• 依托单位: DAVINCI BIO, INC.
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-19 至 2021-11-18
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9909612
• 关键词: Academia; Biological; Biological Assay; Biological Models; Biology; Biotechnology; Bypass; Cell Line; Cells; Cellular biology; Code; Collaborations; Color; Complex; Computer software; DNA; Detection; Diagnostic; Disadvantaged; Disease; Dyes; Exons; Formalin; Freezing; Future; Gene Expression; Gene Expression Profile; Gene Expression Profiling; Genes; Genomics; Goals; Hela Cells; Heterogeneity; Hour; Human; Image; Image Analysis; In Situ; Industry; Label; Liquid substance; Mammalian Cell; Medical; Methods; Microscope; Molecular; Oligonucleotides; Outcome; Paraffin Embedding; Phase; Population; Problem Solving; Proteins; RNA; Reagent; Research; Research Personnel; Resolution; Sampling; Scheme; Scientist; Small Business Innovation Research Grant; Specimen; Speed; System; Technology; Time; Tissue Sample; Tissues; Work; base; biological systems; design; improved; instrument; molecular pathology; multidisciplinary; organ growth; personalized medicine; precision medicine; single cell analysis; single-cell RNA sequencing; success; tool; transcriptome; transcriptomics

SBIR Abstract Single cell biology is a multi-disciplinary study to investigate how large amount of molecular species interact with each other in single cells and how large population of cells work together as a complex system. Identifying the difference of gene expression and the spatial organization of tissues at the single-cell level is essential to decipher tissue heterogeneity, organ development, and understand the biological systems profoundly, and ultimately benefit precision and personalized medicine. Currently, single cell RNA sequencing is widely used to analyze the gene expression patterns of single cells. However, single cell RNA sequencing has significant limitations, including lack of spatial information, low RNA detection efficiency and low cell capture efficiency. Existing multiplexed in-situ detection technologies like MERFISH and seqFISH can overcome these limitations but has long turnaround time. UltraFISH, developed by Rainbow Diagnostics, significantly improves the turnaround time for a small panel of RNA detection in-situ. High Capacity UltraFISH is to further advance the multiplex capacity of UltraFISH so that a large RNA panel such as the whole human transcriptome from a large region of tissue can be efficiently and quickly profiled in hours. With the successful outcome of this proposal, High Capacity UltraFISH will revolutionize the single cell analysis field, leading to breakthroughs in our understanding of biological and disease mechanisms in the near future.

SBIR摘要 单细胞生物学是一个多学科的研究，以调查如何大量的 分子物种在单个细胞中相互作用，以及大细胞群如何工作 作为一个复杂的系统。确定基因表达的差异和空间分布 组织在单细胞水平上的组织对于解释组织异质性是必要的， 器官发育，深刻理解生物系统，最终受益 精准和个性化医疗。目前，单细胞RNA测序被广泛用于 分析单个细胞的基因表达模式。然而，单细胞RNA测序具有 显著的局限性，包括缺乏空间信息，低RNA检测效率和低 细胞捕获效率。现有的多路复用原位检测技术，如MERFISH和 seqFISH可以克服这些限制，但周转时间长。UltraFISH，由 Rainbow Diagnostics显著缩短了一小组RNA的周转时间 现场检测。高容量UltraFISH是为了进一步提高 UltraFISH使一个大的RNA面板，如整个人类转录组，从一个大的 可以在数小时内有效且快速地对组织区域进行轮廓分析。随着成功的结果， 这项建议，高容量UltraFISH将彻底改变单细胞分析领域，导致 在不久的将来，我们对生物学和疾病机制的理解将取得突破。