Single cell multi-omics sequencing platform to understand the building blocks of life.

单细胞多组学测序平台可了解生命的组成部分。

• 批准号: BB/W019493/1
• 负责人: Sonja Vernes
• 金额: $ 36.71万
• 依托单位: University of St Andrews
• 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=BB%2FW019493%2F1
• 关键词: Single; cell; multi; omics; sequencing

It is necessary to clearly resolve and describe living systems at a cellular resolution, in order to understand the rules of life, to understand health and increase healthy lifespans, or to improve sustainability in agriculture. This presents a major challenge as organisms are often composed of huge numbers of cells with very different properties that have complex interactions with each other, and until recently there was no technology that would allow such resolution. This single cell multi-omics phenotyping platform allows cells from any tissue or organism to be explored at a single cell level. The platform makes it possible to take a large collection of cells (e.g. a tissue sample, biopsies, cells treated with specific compounds) and give each cell a unique barcode label before determining its properties. Each cell can then be explored for a range of molecular properties such as determining the sequence or structure of the genome, the genes that are expressed in the cell, and the proteins expressed in the cell or at the surface of the cell.The proposed platform will allow researchers to explore the intricate cellular architecture that underlies how traits are determined in complex organisms, and shed light on how they evolved. The range of research facilitated by this platform addresses questions including: how communication behaviour is encoded in the brain; how the body controls motor functions and what goes wrong in motor neuron disease; how genetic mechanisms influence development, fertility and parental provisioning; how organisms adapt to extreme conditions over evolution; neural control of nest building in birds; the role of genome structure in directing the forms tissues or animal bodies take; cancer progression and the effect of cancer drugs on the body; how the immune system functions in health and disease; normal and abnormal neurodevelopment; improving crop production; and developing new computational methods for data analyses. This cutting-edge technology platform would therefore facilitate a massive step forward in a diverse range of key research areas, that will impact crucial research fields across evolution, development, physiology, behaviour, medicine, agriculture and environmental sustainability.

为了理解生活规则，了解健康并提高健康的寿命或改善农业的可持续性，有必要清楚地解决和描述蜂窝分辨率的生活系统。这是一个重大挑战，因为生物通常由大量具有截然不同的属性的细胞组成，这些细胞相互相互作用很复杂，直到最近，还没有技术可以解决这种分辨率。这个单细胞多词表型平台使来自任何组织或生物体的细胞可以在单个细胞水平上探索。该平台可以使大量细胞（例如组织样品，活检，用特定化合物处理的细胞）收集，并在确定其性能之前为每个细胞提供独特的条形码标签。然后，可以探索每个细胞的分子特性，例如确定基因组的序列或结构，在细胞中表达的基因以及在细胞中或细胞表面表达的蛋白质。所提出的平台将允许研究人员允许研究人员探索在复杂的生物体中确定的复杂的细胞结构，并在复杂的生物体中确定了如何确定它们的效果，并探索了它们如何培养它们的光线和碎片。该平台促进的一系列研究范围解决了问题：沟通行为如何在大脑中编码；人体如何控制运动功能以及运动神经元疾病中的问题；遗传机制如何影响发展，生育和父母的养育；生物如何适应极端条件超过进化；鸟类巢建筑物的神经控制；基因组结构在指导组织或动物体的形式中的作用；癌症进展和癌症药物对人体的影响；免疫系统如何在健康和疾病中起作用；正常和异常神经发育；改善农作物的产量；并开发用于数据分析的新计算方法。因此，这个尖端的技术平台将有助于在各种关键研究领域迈出巨大的一步，这将影响跨进化，发展，生理，行为，医学，农业和环境可持续性的关键研究领域。