课题基金 / 基金详情

Enhancing multi-omic single cell sequencing to resolve fundamental biological mechanisms in humans and non-human organisms

Enhancing multi-omic single cell sequencing to resolve fundamental biological mechanisms in humans and non-human organisms
增强多组学单细胞测序以解决人类和非人类生物体的基本生物学机制
批准号:
BB/W019922/1
负责人:
Andrew Beggs
金额:
$70.67万
依托单位:
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
项目状态:
已结题
起止时间:
2022 至 --

项目摘要

项目成果

Andrew Beggs的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The fields of biology and medicine have been dramatically changed over the past 50 years by our increasing knowledge of how the genetic code of cells which consists of DNA which serves as a template for RNA regulates all aspects of cellular function. As the technologies to study DNA and RNA have improved, our understanding of these processes have led to far-reaching discoveries and technological advances impacting on biotechnology, our understanding of the basic biology of cells and of normal developmental biology of whole organs and organisms. Importantly, they also have provided deep insights into disease processes such as infection, inflammation and cancer with an impact on both the human and the animal world. Each cell has its own command center which resides in the nucleus in form of DNA and we ideally want to know how each individual cell functions as it is always in contact with a multitude of other cells who impact on its physiology. Therefore, until now, these technologies have been relatively low resolution, because we have only been able to take a sample of multiple cells and analyse them as a group. The effect of what each cell does on the whole organism is the sum of how these cells cooperate and where they are within an organ, and lumping them all together does not give us the information we need to understand fundamental biological processes. We can now perform analysis of the DNA and RNA changes in each single cell within a group of cells, helping us to understand how these cells work together. Using first generation single cell technology, we now know that within a population of seemingly identical cells in a human, animal or plant cells are in different states at a single point in time. A few years ago, we have established a facility within the University of Birmingham that carries out an analysis of all RNA that is within each single cell which tells us in what state each cell is in. However, technology has rapidly progressed and it is now possible to study multiple features all within one cell, such as the composition and intactness our genetic code, and which proteins these cells contain. We can also link such data with data showing where within an organ single cells are located and can thus draw conclusions of how their surroundings influence their behaviour. In this proposal we apply for funds to buy the equipment enabling us to establish these novel single cell technologies. We believe that without being able to expand our facility and incorporate these new techniques, we will not be able to participate in globally competitive science and we will not be able to address the most pressing biological questions. This application will enable us to carry out these aims. It will widen our user base and for the first time will make these cutting edge technologies available to multiple users within the Midlands.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Understanding the mechanisms of treatment resistance in colorectal cancer using organoid models
  • 批准号:
    MR/X006433/1
  • 项目类别:
    Fellowship
  • 资助金额:
    $200.84万
  • 财政年份:
    2023
  • 负责人:
    Andrew Beggs
  • 依托单位:
国内基金
海外基金
基于Multi-Pass Cell的高功率皮秒激光脉冲非线性压缩关键技术研究
Multi-decadeurbansubsidencemonitoringwithmulti-temporaryPStechnique
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    80万元
  • 批准年份:
    2022
  • 负责人:
    Timo Balz
  • 依托单位:
High-precision force-reflected bilateral teleoperation of multi-DOF hydraulic robotic manipulators
  • 批准号:
    52111530069
  • 项目类别:
    国际(地区)合作与交流项目
  • 资助金额:
    10万元
  • 批准年份:
    2021
  • 负责人:
    徐兵
  • 依托单位:
大地电磁强噪音压制的Multi-RRMC技术及其在青藏高原东南缘-印支块体地壳流追踪中的应用