Maestro Pro multiwell microelectrode array for the University of Liverpool electrophysiology suite: Cell physiology meets high throughput.
适用于利物浦大学电生理学套件的 Maestro Pro 多孔微电极阵列:细胞生理学满足高通量要求。
基本信息
- 批准号:BB/X019357/1
- 负责人:
- 金额:$ 31.66万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This proposal is for the Institute of Life Course and Medical Sciences (ILCAMS), in the University of Liverpool to purchase a new equipment that can perform physiological recording on a much larger scale, and with greater speed than that which was possible in the past.*What are we requesting?*Much of modern biology is based around identifying large numbers of biomolecules in cells and tissues and the pathways that they influence. Due to extraordinary breakthroughs over recent years this can now be done at astonishing speeds unthinkable in the past. For example single cell RNA-sequencing can now identify almost the entire mRNA complement (~active genes) from 50,000 individual cells in one day (may take a couple of days to analyse the data!). However, one area of biology that is still lagging far behind is physiological recording; recording what changes occur in cell electrical behaviour, movement, survival, contraction etc. These are generally performed by highly skilled experts, but typically at the rate of about one cell per day; once trained and all set up. What we are requesting is a new generation of physiological recording apparatus that can identify physiological changes in hundreds of cells per day. Not up to the speed yet of single cell RNA-sequencing, but a massive advance on what was previously possible for us, or any other labs in the North West of England.*What can this equipment do that existing equipment cannot?*Whilst this apparatus would be useful across a range of disciplines from genetics, cell biology neuroscience, ageing, stem cells etc, there are three specific facets we need to highlight.(1) Existing equipment records only one cell at a time or one recording from many cells all aggregated together. That is painfully slow. This new machine allows for the recording of dozens of cells simultaneously making high throughput electrical and contractility assays possible.(2) As an extension of (1) this machine will allow one to record individual cells not just faster, but in parallel in a structured fashion so that one can track network activity in real time. Cells within tissues do not behave as individual mavericks doing their own thing; they interact in networks and this machine allows these networks to be analysed in Liverpool for the first time. (3) This equipment allows analysis of cell integrity, movement and electrical properties all at the same time across dozens of cells in the network and in several parallel experiments. No other machine we are aware of can do this, certainly none in Merseyside.*Who will it serve?*The machine will be part of a facility within the Faculty of Health and Life Sciences, University of Liverpool, and we will promote its use across our own bioscience departments; genetics, tissue engineering, physiology, pharmacology etc and local collaborators in Merseyside research institutes. Initially the applicants will optimise methods and usage, but then our long-term vision is that it will be the first of several parallel recording physiological apparatus and that will be managed under the wing of the University of Liverpool Shared Research Facilities (Liv-SRF) and available to all (following training) alongside other such facilities such as GeneMill, Centre for Cellular Imaging, NMR or MS metabolomics, proteomics and sequencing.
该提案是为利物浦大学生命历程和医学科学研究所 (ILCAMS) 购买一种新设备,该设备可以比过去更大规模、更快速地进行生理记录。 *我们要求什么?*许多现代生物学都是基于识别细胞和组织中的大量生物分子及其影响的途径。由于近年来取得的非凡突破,现在可以以过去难以想象的惊人速度完成这一任务。例如,单细胞 RNA 测序现在可以在一天内从 50,000 个单个细胞中识别几乎整个 mRNA 补体(~活性基因)(可能需要几天的时间来分析数据!)。然而,生物学仍然远远落后的一个领域是生理记录。记录细胞电行为、运动、存活、收缩等发生的变化。这些通常由技术精湛的专家执行,但通常以每天大约一个细胞的速度进行;一旦训练完毕并全部设置完毕。我们所要求的是新一代的生理记录装置,每天可以识别数百个细胞的生理变化。虽然尚未达到单细胞 RNA 测序的速度,但对于我们或英格兰西北部的任何其他实验室来说,这是一个巨大的进步。*该设备可以做什么现有设备无法做到的事情?*虽然这该设备将在遗传学、细胞生物学、神经科学、衰老、干细胞等一系列学科中发挥作用,我们需要强调三个具体方面。(1) 现有设备一次仅记录一个细胞或来自多个细胞的一次记录全部汇总 一起。那速度慢得令人痛苦。这种新机器可以同时记录数十个细胞,从而使高通量电学和收缩性测定成为可能。(2) 作为 (1) 的扩展,该机器不仅可以更快地记录单个细胞,而且可以以结构化的方式并行记录单个细胞。时尚,以便人们可以实时跟踪网络活动。组织内的细胞不会表现得像个特立独行的人,做自己的事情;他们在网络中交互,这台机器首次允许在利物浦对这些网络进行分析。 (3) 该设备允许在网络中的数十个电池和多个并行实验中同时分析电池完整性、运动和电特性。我们知道没有其他机器可以做到这一点,默西塞德郡当然没有。*它将为谁服务?*该机器将成为利物浦大学健康与生命科学学院设施的一部分,我们将推广其使用我们自己的生物科学部门;遗传学、组织工程、生理学、药理学等以及默西塞德研究机构的当地合作者。最初,申请人将优化方法和使用,但我们的长期愿景是,它将成为多个并行记录生理设备中的第一个,并将在利物浦大学共享研究设施(Liv-SRF)的领导下进行管理并可与其他此类设施(如 GeneMill、细胞成像中心、NMR 或 MS 代谢组学、蛋白质组学和测序)一起向所有人开放(培训后)。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Richard Barrett-Jolley其他文献
Anion channel activity in chondrocytes analyzed using in vitro osteoarthritis model.
使用体外骨关节炎模型分析软骨细胞中的阴离子通道活性。
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Kosuke Kumagai;Futoshi Toyoda;Caroline Staunton;Tsutomu Maeda;Hitoshi Tanigawa;Noriaki Okumura;Shinji Imai;Richard Barrett-Jolley - 通讯作者:
Richard Barrett-Jolley
Richard Barrett-Jolley的其他文献
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{{ truncateString('Richard Barrett-Jolley', 18)}}的其他基金
Deep Learning Ultra Low-Frequency Heart Rate Variability from raw ECG
根据原始心电图深度学习超低频心率变异
- 批准号:
BB/S008136/1 - 财政年份:2019
- 资助金额:
$ 31.66万 - 项目类别:
Research Grant
Aquaporins: A hole in our understanding of hydrogen peroxide regulation
水通道蛋白:我们对过氧化氢调节理解的一个漏洞
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BB/T002115/1 - 财政年份:2019
- 资助金额:
$ 31.66万 - 项目类别:
Research Grant
Japan Partnering Award: The paraventricular nucleus of the hypothalamus; networks and mathematical models.
日本合作奖:下丘脑室旁核;
- 批准号:
BB/S020772/1 - 财政年份:2019
- 资助金额:
$ 31.66万 - 项目类别:
Research Grant
Artificial Intelligence Tools For Automatic Single Molecule Analysis
用于自动单分子分析的人工智能工具
- 批准号:
BB/R022143/1 - 财政年份:2018
- 资助金额:
$ 31.66万 - 项目类别:
Research Grant
Role of Paraventricular NK1 Receptor Expressing Spinally-Projecting Neurons in Cardiovascular Control
表达脊髓投射神经元的室旁 NK1 受体在心血管控制中的作用
- 批准号:
BB/N003020/1 - 财政年份:2016
- 资助金额:
$ 31.66万 - 项目类别:
Research Grant
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