课题基金 / 基金详情

Proteomic platform

Proteomic platform
蛋白质组平台
批准号:
280720994
负责人:
Professor Dr. Stefan Lichtenthaler
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Research Units
财政年份:
2015
资助国家:
德国
项目状态:
已结题
起止时间:
2014-12-31 至 2022-12-31
关键词:

项目摘要

项目成果

Professor Dr. Stefan Lichtenthaler的其他基金

相似基金

相关文献

中文摘要
翻译
蛋白质组平台将是研究联合体的组成部分,并进行鉴定和验证项目P1、P2和P3的新型膜内蛋白酶底物所需的大量定量质谱学测量。该联盟的所有项目都需要质谱学分析的结果,例如P7中的比较生物信息学分析。该平台拥有两台高分辨率Orbitrap质谱仪和相关设备,包括纳米LC,并拥有所需方法的专业知识,如无标记定量和不同的含同位素标记方法。这包括体外和体内的“细胞培养中氨基酸稳定同位素标记”(SILAC)分析。
英文摘要
The proteomic platform will be an integral part of the research consortium and performs the numerous quantitative mass spectrometry measurements required for identification and validation of novel intramembrane protease substrates for projects P1, P2 and P3. The results of the mass spec analyses will be required for all projects in the consortium, e.g. for the comparative bioinformatic analyses in P7. The platform has two high resolution Orbitrap mass spectrometers plus associated equipment, including nanoLCs, and has expertise with the required methods, such as label free quantification and different isotope label-containing methods. This includes 'stable isotope labelling with amino acids in cell culture' (SILAC) analyses in vitro and in vivo.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Mechanistic characterization of substrate recognition by gamma-secretase
  • 批准号:
    280720330
  • 项目类别:
    Research Units
  • 资助金额:
    $0.0万
  • 财政年份:
    2015
  • 负责人:
    Professor Dr. Stefan Lichtenthaler
  • 依托单位:
Cellular function of the amyloid precursor like protein 1 in endocytosis and proteolytic shedding of APP
  • 批准号:
    5436079
  • 项目类别:
    Priority Programmes
  • 资助金额:
    $0.0万
  • 财政年份:
    2004
  • 负责人:
    Professor Dr. Stefan Lichtenthaler
  • 依托单位:
Expressionsklonierung der alpha-Sekretase der Alzheimer Krankheit
  • 批准号:
    5210552
  • 项目类别:
    Emmy Noether International Fellowships
  • 资助金额:
    $0.0万
  • 财政年份:
    1999
  • 负责人:
    Professor Dr. Stefan Lichtenthaler
  • 依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information