High Capacity UltraFISH for Single-cell Spatial Transcriptomics

用于单细胞空间转录组学的高容量 UltraFISH

基本信息

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
项目类别：
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

项目摘要

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项多学科研究，用于研究大量分子物种在单个细胞中彼此相互作用，以及大量细胞的工作方式一起作为一个复杂的系统。识别基因表达和空间的差异单细胞水平的组织组织对于破译组织异质性至关重要，器官开发并深刻理解生物系统，并最终受益精度和个性化医学。当前，单细胞RNA测序被广泛用于分析单细胞的基因表达模式。但是，单细胞RNA测序具有显着的局限性，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，例如Merfish和 Seqfish可以克服这些局限性，但有很长的周转时间。 Ultrafish，由彩虹诊断，显着改善了一小部分RNA的周转时间检测原位。高容量Ultrafish将进一步提高多重能力 Ultrafish，以便从大的RNA面板（例如整个人类转录组）组织区域可以在数小时内有效，迅速构想。取得成功的结果该提议，高容量的超支将彻底改变单细胞分析字段，导致在不久的将来，我们对生物和疾病机制的理解的突破。