Biomic_AUTh, Center of Excellence in Metabolomics research (BiACEM)
Biomic_AUTh, Center of Excellence in Metabolomics research (BiACEM)
批准号:
10050966
负责人:
金额:
$17.99万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
BiACEM旨在将亚里士多德大学塞萨洛尼基的跨学科实验室BIOMIC_AUT与三个世界领先的代谢组学研究小组联系起来:伦敦帝国理工学院的生物信息学团队、代谢组学/脂肪组学研究团队Fundación University San Pablo CEU(马德里)和HMGU。通过该项目的实施,将发展战略伙伴关系和联网,促进生物技术研究人员的研究状况和能力,弥补现有的专门知识和技术方面的差距。生物组学的长期目标是引领、发展新的概念、分析方法和途径来产生或分析全面的数据集,进一步推动代谢组学在生命科学和生物标记物发现中的应用。要达到这一水平,应解决现有的紧要点。被确认为高级合作伙伴的优势和生物组学改进的关键领域的主题包括:在LC-MS中开发和组织脂肪组学实验,利用先进的质谱学获取和离子迁移率光谱数据,代谢物识别,有效挖掘和使用多个数据集,数据管理,用于代谢组学数据和文本挖掘的人工智能工具(自然语言处理),数据融合,有效的生化解释。知识转移通过一系列培训活动、网络研讨会、电子会议、员工交流和与高级合作伙伴的合作研究来组织。还强调了研究管理方面的培训,并在生物学院设立了一个研究管理单位。三个临床生物标记物发现示范项目构成了BiACEM的研究内容。该项目的实现将对生物技术公司、他们的合作者和希腊代谢组学生态系统产生重大影响,因为它将弥补弱点,并首次为希腊科学家提供新的、及时和必要的技术解决方案,提升水平或研究和创新。
英文摘要
BiACEM aims to link Biomic_AUT an interdisciplinary laboratory of the Aristotle University Thessaloniki, with three world leading metabolomics research groups: the bioinformatics team of Imperial College London, the metabolomics/lipidomic research team Fundación Universitario San Pablo CEU (Madrid) and HMGU. Via the realization of the project, strategic partnership and networking will be developed, promoting the research status and capacity of Biomic researchers and covering existing gaps in know-how and technology. Long term aim of Biomic is to lead, develop new concepts, analytical methods, and ways to produce or analyze comprehensive datasets, furthering the application of metabolomics in life science and biomarker discovery. To reach this level, existing pinch points should be addressed. Themes identified as strengths of the advanced partners and key areas of Biomic improvement include: development and organisation of lipidomic experimentation in LC-MS, exploitation of advanced mass spectrometry acquisition and ion mobility spectrometry data, metabolite identification, effective mining and use of multiple data sets, data management, artificial intelligence tools for metabolomics data and for text mining (natural language processing), data fusion, effective biochemical interpretation. Transfer of knowledge is organised as a series of training events, webinars, e-meetings, staff exchanges and collaborative research with the advanced partners. Emphasis is also put on training on research management and setting a research management unit in Biomic. Three clinical biomarker discovery demonstration projects constitute the research element of BiACEM. Realization of the project will have major impact on Biomic, their collaborators and the Greek metabolomics ecosystem as it will remedy weaknesses, and provide new, timely and necessary technological solutions for the first time to Greek scientists, promoting level or research and innovation.
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