课题基金 / 基金详情

UK Consortium for MetAbolic Phenotyping (MAP UK)

UK Consortium for MetAbolic Phenotyping (MAP UK)
英国代谢表型联盟 (MAP UK)
批准号:
MR/S010483/1
负责人:
Zoltan Takats
金额:
$272.46万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
未结题
起止时间:
2019 至 --

项目摘要

项目成果

Zoltan Takats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
Metabolic phenotyping is the study of human health by observation of the chemical composition of biofluids (e.g. urine and blood) and tissues. Advanced technologies are used to measure the amounts of thousands of metabolites in human samples in an unbiased "untargeted" manner, generating individual profiles (or chemical "fingerprints") that represent the individual's metabolic phenotype. A phenotype is the product of a person's genes and the influence of numerous environmental factors including diet, lifestyle, occupation, stress, exercise, and exposures (e.g. to medications, toxins, pollutants, etc). A phenotype can be understood and measured by direct measurement of a person's metabolites, either in circulation (e.g. in blood), localised to a tissue (e.g. a muscle biopsy), or as the end products of metabolism (e.g. urine). Metabolic phenotyping is key as an emerging technology used to increase our understanding of human health and disease, with applications in the prediction of disease predisposition, onset, and potential for recovery, as well as the power to guide personalised therapies and clinical interventions where needed (a field called "stratified medicine").To be used to its full potential, metabolic phenotyping requires collaboration among many specialist areas of science. Clinicians, epidemiologists, and other scientists who wish to use phenotyping tools to investigate specific scientific questions (related to health in individuals, populations, or the underlying chemical mechanisms of diseases) must work together with technologists and analytical chemists who understand biofluid handling and measurement, data scientists (e.g. bioinformaticians) who can make sense of large amounts of complex data, and biochemists who can interpret that data. With many different ways to raise hypotheses, design studies, measure biofluids, and analyse data, metabolic phenotyping is a field of specialists who use specialist tools to answer specific questions. While it is not practical for one person to master all of these disciplines, an appreciation for the whole process is vital to ensure efficient use of powerful technologies and precious human samples, and communication among specialists is vital to achieving positive and impactful research outcomes. With this in mind, we aim to advance metabolic phenotyping for the benefit of UK scientists by driving cooperation, collaborative development, and education within the framework of a partnership among leading UK research institutions. We will organise and share specialist methods for metabolic measurement and data analysis among expert technologists, analytical chemists, and data scientists, as well as improve the visibility and availability of these tools to the UK research community. We will start our programme by listening to the UK research community, identifying their phenotyping needs and matching them to potential technological/methodological solutions held within our partnership. We will ensure the availability of these solutions by cross-site training, developing a strong network of research capability and capacity within the UK. Where gaps in our collective abilities exist, analytical and informatics development programmes will work to address those specific needs as well as maximise the obtainable value from phenotyping data. We will test and demonstrate our collective abilities by turning this newly organised resource toward the study of example applications, and we will conclude our programme by presenting our work and harmonised platform for phenotyping back to the UK research community. We will augment this cycle with external training of all user groups to raise awareness for the strengths, limitations, specific considerations and diversity of phenotyping approaches, enabling more efficient, more impactful, and higher quality human health and disease research throughout the UK.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1002/ctm2.1152
发表时间: 2023-01
期刊: Clinical and translational medicine
影响因子: 10.6
作者: []
通讯作者:
DOI: 10.1073/pnas.2206083119
发表时间: 2022-10-25
期刊: Proceedings of the National Academy of Sciences of the United States of America
影响因子: 11.1
作者: []
通讯作者:
DOI: 10.1007/s11306-022-01923-6
发表时间: 2022-08-02
期刊: Metabolomics : Official journal of the Metabolomic Society
影响因子: --
作者: []
通讯作者:
Imaging of fast-moving single cells with adaptive single pixel detection
  • 批准号:
    BB/X004082/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $20.62万
  • 财政年份:
    2023
  • 负责人:
    Zoltan Takats
  • 依托单位:
Building research capacity with high-throughput Ultra-performance liquid chromatography high resolution Q-TOF
  • 批准号:
    MR/X013537/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $85.8万
  • 财政年份:
    2022
  • 负责人:
    Zoltan Takats
  • 依托单位:
Molecularly aware robotics for surgery (MARS)
  • 批准号:
    EP/W004798/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $38.52万
  • 财政年份:
    2021
  • 负责人:
    Zoltan Takats
  • 依托单位:
Development of a rapid bacterial identification method based on direct mass spectrometric metabolic profiling
  • 批准号:
    BB/L020858/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $61.91万
  • 财政年份:
    2014
  • 负责人:
    Zoltan Takats
  • 依托单位:
海外基金