Purchase of a Q Exactive HF mass spectrometer system for metabolomics
购买用于代谢组学的 Q Exactive HF 质谱仪系统
基本信息
- 批准号:9274622
- 负责人:
- 金额:$ 60万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-04-15 至 2018-04-14
- 项目状态:已结题
- 来源:
- 关键词:Biological AssayCancer BiologyConsultationsCore FacilityCoupledEducational workshopEnsureEquilibriumEyeFundingFutureGrantIndividualInstitutesJournalsLogisticsMaintenanceMetabolismPositioning AttributePriceProteomicsRecruitment ActivityResearch PersonnelRoleScotlandSourceSupervisionSystemTechnologyThe Wistar InstituteTimeTrainingUnited States National Institutes of Healthcancer research center directorcostdesignequipment acquisitionexperienceexperimental studyhuman diseaseimprovedinstrumentmass spectrometermetabolic abnormality assessmentmetabolomicsoperationprofessor
项目摘要
PROJECT SUMMARY / ABSTRACT
This is a proposal to acquire a Thermo Q Exactive HF mass spectrometer and a conventional flow UPLC for a
range of metabolomics assays including untargeted (global) metabolite comparisons, flux analyses, and
lipidomics profiling (untargeted and targeted). This instrument is needed to support 8 major users and 2 other
users at the Wistar Institute to conduct metabolism and lipidome studies involving 22 NIH grants. Eight of
these users have multiple NIH grants that will benefit from the requested mass spectrometer system. One of
the other users is Dr. Zachary Schug who does not yet have NIH funding because he recently moved from his
postdoctoral position in Scotland to the Wistar Institute. Dr. Schug is a critical contributor to this proposal
because he has in-depth expertise in all of the analytical approaches that will be used. It is estimated that this
user group will initially require nearly all available time on the requested instrument. However, we expect to
improve throughput with experience and anticipate that in future years the number of users will grow
substantially, thereby ensuring that this instrument will continue to be heavily utilized. Acquisition of this
instrument and expansion of our metabolomics capacity is part of a strong institutional commitment driven by
the expanding role of metabolism in multiple aspects of cancer biology and other human diseases, coupled
with very limited and inadequate access to these technologies from external sources. As a result, metabolism
studies at the Wistar Institute have sometimes not been pursued due to logistical barriers and studies that were
pursued sometimes suffered from the lack of adequate consultative expertise to ensure optimal experiment
design. The requested system will be housed in the Wistar Institute Proteomics and Metabolomics Core
Facility under the supervision of the Facility’s Scientific Director, Dr. David Speicher. Day-to-day maintenance
and operation of the instrument will be handled by Dr. Hamid Baniasadi, who trained in Dan Raftery’s lab and
has more than 8 years of experience with developing and using metabolomics assays. In addition, Dr. Zachary
Schug, who is a recently recruited assistant professor from Eyal Gottlieb’s lab, will provide expert consultative
advice and will train and educate users through training workshops, a metabolomics journal club, and
individual consultation as needed. The Wistar Institute’s CEO and Cancer Center Director confirms the
Institute’s very strong commitment to implementing and maintaining state-of-the-art metabolomics capacities.
Wistar has already invested more than $1.6M in metabolomics expertise and capacities. Specific to this grant,
the Institute is committed to: 1) providing the $66,571 balance of the purchase price above the SIG cap, 2)
covering any costs associated with instrument installation, 3) ensuring support is available for expert operators
and instrument maintenance throughout its useful lifetime, and 4) ensuring that NIH funded investigators have
primary access to the instrument.
项目摘要/摘要
这是获取热Q精确HF质谱仪和常规流量UPLC的提议
代谢组学测定范围包括未靶向的(全球)代谢物比较,通量分析和
脂质组学分析(未靶向和针对性)。需要此工具来支持8个主要用户和其他2个
Wistar Institute的用户进行代谢和脂质群学研究,涉及22个NIH赠款。八个
这些用户有多个NIH赠款,可以从请求的质谱仪系统中受益。之一
其他用户是Zachary Schug博士,他还没有NIH资金,因为他最近从他的
苏格兰的博士后职位。舒格博士是该建议的关键因素
因为他在将使用的所有分析方法中都有深入的专业知识。据估计这是
用户组最初将需要几乎所有可用仪器上的可用时间。但是,我们希望
通过经验改善吞吐量,并预计在未来几年中,用户数量将会增加
基本上,确保该工具将继续被大量利用。收购这一点
我们的代谢组学能力的工具和扩展是强大的工具承诺的一部分
代谢在癌症生物学和其他人类疾病的多个方面的扩大作用,耦合
从外部来源访问这些技术的情况非常有限且不足。结果,新陈代谢
Wistar Institute的研究有时由于后勤障碍而没有进行
追捕有时会因缺乏足够的咨询专业知识而受到损害以确保最佳实验
设计。所请求的系统将安置在Wistar Institute蛋白质组学和代谢组学核心中
该设施的科学总监David Speicher博士的监督下的设施。日常维护
该乐器的操作将由在Dan Raftery的实验室培训的Hamid Baniasadi博士处理
在开发和使用代谢组学测定方面拥有超过8年的经验。此外,Zachary博士
舒格(Schug)是最近从Eyeal Gottlieb实验室招募的助理专业人士,将提供专家咨询
建议,并将通过培训研讨会,代谢组学期刊俱乐部和
根据需要进行个人咨询。 Wistar Institute的首席执行官兼癌症中心主任确认
学院致力于实施和维护最先进的代谢组学能力。
Wistar已经投资了超过160万美元的代谢组学专业知识和能力。特定于这笔赠款,
该研究所致力于:1)提供高于Sig Cap的购买价格的66,571美元的余额,2)
支付与仪器安装相关的任何费用,3)确保专家运营商提供支持
和仪器维护整个有用的一生,以及4)确保NIH资助的调查人员拥有
对乐器的主要访问。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Genomic analyses of glycine decarboxylase neurogenic mutations yield a large-scale prediction model for prenatal disease.
- DOI:10.1371/journal.pgen.1009307
- 发表时间:2021-03
- 期刊:
- 影响因子:4.5
- 作者:Farris J;Alam MS;Rajashekara AM;Haldar K
- 通讯作者:Haldar K
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{{ truncateString('DAVID W. SPEICHER', 18)}}的其他基金
Identification of ovarian cancer plasma biomarkers
卵巢癌血浆生物标志物的鉴定
- 批准号:
7736151 - 财政年份:2009
- 资助金额:
$ 60万 - 项目类别:
Identification of Ovarian Cancer Plasma Biomarkers
卵巢癌血浆生物标志物的鉴定
- 批准号:
8759302 - 财政年份:2009
- 资助金额:
$ 60万 - 项目类别:
Identification of ovarian cancer plasma biomarkers
卵巢癌血浆生物标志物的鉴定
- 批准号:
8192927 - 财政年份:2009
- 资助金额:
$ 60万 - 项目类别:
Identification of ovarian cancer plasma biomarkers
卵巢癌血浆生物标志物的鉴定
- 批准号:
8296102 - 财政年份:2009
- 资助金额:
$ 60万 - 项目类别:
Protein Modification with Oxidative Stress in ALI
ALI 中氧化应激的蛋白质修饰
- 批准号:
7796691 - 财政年份:2009
- 资助金额:
$ 60万 - 项目类别:
Identification of ovarian cancer plasma biomarkers
卵巢癌血浆生物标志物的鉴定
- 批准号:
7881494 - 财政年份:2009
- 资助金额:
$ 60万 - 项目类别:
Identification of Ovarian Cancer Plasma Biomarkers
卵巢癌血浆生物标志物的鉴定
- 批准号:
8910661 - 财政年份:2009
- 资助金额:
$ 60万 - 项目类别:
Discovery and validation of novel serological biomarkers of colon cancer
结肠癌新型血清学生物标志物的发现和验证
- 批准号:
7669083 - 财政年份:2006
- 资助金额:
$ 60万 - 项目类别:
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