GeoMx digital spatial profiler: expanding the capabilities of the CVR Virus Genomics and Bioinformatics platform

GeoMx 数字空间分析仪：扩展 CVR 病毒基因组学和生物信息学平台的功能

• 批准号: MR/X01360X/1
• 负责人: Massimo Palmarini
• 金额: $ 38.87万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FX01360X%2F1
• 关键词: GeoMx; digital; spatial; profiler; expanding

The CVR Viral Genomics and Bioinformatics is a team of scientists which use sequencing techniques and computational methods to understand viral infections.Scientists working on genomics and bioinformatics use DNA sequencing to determine the sequence of nucleotides within a DNA molecule. Every organism has a unique sequence of nucleotides, including viruses, and we can use that sequence to understand many aspects of their biology. At the CVR, the Viral Genomics and Bioinformatics team also does RNA sequencing (RNA-seq). This is a type of experiment that measures the expression of genes. In other words, we determine which of the genes encoded by our DNA are turned on or off and at what extent. This is particularly useful to understand how our cells respond when they become infected by viruses, ultimately leading to clues on the mechanisms by which viruses cause disease. We know that tissues are a complex grouping of different cell types, and that each cell type may respond differently to a viral infection. We also know that tissues can have compartments and that spatial information is important during infection. However, the protocols most frequently used by the research community require homogenisation of tissues in a single mixture, containing all the RNA molecules. This means that all the information provided by each individual cell, as well as the spatial context is lost.In this application, we are applying for funds to invest in a new technology that retains the spatial information. With the GeoMx from NanoString, we retrieve RNA-seq information from the tissues while maintaining the spatial context. This is important because it enables us to visualise how different cells or areas of a tissue are turning their genes on and off and overlap that information with images which indicate where in the tissue is the infection taking place or if are there any lesions, amongst other features.Overall, this new instrument will enable us to understand how viruses infect us based on RNA-seq data from different cell types, spatial data and other characteristics of the tissues, enabling a more complete view of infections and how we respond to them.

CVR病毒基因组学和生物信息学是一个科学家团队，他们使用测序技术和计算方法来了解病毒感染。研究基因组学和生物信息学的科学家使用DNA测序来确定DNA分子内核苷酸的序列。每种生物都有独特的核苷酸序列，包括病毒，我们可以利用这个序列来了解它们生物学的许多方面。在CVR，病毒基因组学和生物信息学团队也做RNA测序（RNA-seq）。这是一种测量基因表达的实验。换句话说，我们决定了DNA编码的哪些基因是开启或关闭的，以及在什么程度上。这对于理解我们的细胞在被病毒感染时的反应特别有用，最终为病毒致病机制提供线索。我们知道组织是由不同类型的细胞组成的复杂群体，每种类型的细胞对病毒感染的反应可能不同。我们也知道组织可以有隔间，在感染过程中空间信息很重要。然而，研究界最常用的方案需要将组织均质化在包含所有RNA分子的单一混合物中。这意味着每个细胞提供的所有信息以及空间上下文都丢失了。在这个应用程序中，我们正在申请资金来投资一项保留空间信息的新技术。利用NanoString的GeoMx，我们在保持空间背景的同时从组织中检索RNA-seq信息。这很重要，因为它使我们能够直观地看到组织的不同细胞或区域如何打开和关闭它们的基因，并将这些信息与图像重叠，这些图像表明组织中感染发生的位置或是否有任何病变，以及其他特征。总的来说，这种新仪器将使我们能够了解病毒如何基于来自不同细胞类型的RNA-seq数据，空间数据和组织的其他特征感染我们，使我们能够更全面地了解感染以及我们如何对它们作出反应。