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PROJECT SUMMARY This study investigates the specificity of farnesyl transferase (FTase) that isoprenylates CaaX proteins. Studies probing the in vivo activity of the FTase have historically used reporters (e.g. Ras GTPases) that undergo complex multi-step post-translational modification (PTM), involving initial farnesylation followed by CaaX proteolysis and carboxyl methylation. This study takes advantage of Hsp40 Ydj1, a farnesylation-only reporter for which we have developed a range of methods to monitor its PTM status. Its use reveals that farnesylation is not necessarily coupled to subsequent PTMs as has been generally accepted for CaaX proteins, and that FTase specificity is significantly more promiscuous than anticipated. These findings challenge the conventional paradigm for how farnesylated proteins are modified and which proteins are targeted by FTase. We will extend our studies to fully resolve the specificity of FTase using a combination of genetic, biochemical, bioinformatic, and biophysical studies. We bring to bear on our investigations an exceptionally strong set of preliminary findings, the complementary expertise of several research groups, and a comprehensive molecular toolbox for the study of farnesylated proteins and other enzymes associated with this post-translational modification pathway.
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Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining
  • 批准号:
    10457684
  • 项目类别:
  • 资助金额:
    $47.79万
  • 财政年份:
    2022
  • 负责人:
    Natarajan Kannan
  • 依托单位:
Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining (Kennady Boyd)
  • 批准号:
    10809950
  • 项目类别:
  • 资助金额:
    $0.91万
  • 财政年份:
    2022
  • 负责人:
    Natarajan Kannan
  • 依托单位:
Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining
  • 批准号:
    10661550
  • 项目类别:
  • 资助金额:
    $47.7万
  • 财政年份:
    2022
  • 负责人:
    Natarajan Kannan
  • 依托单位:
Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining (Rayna Carter)
  • 批准号:
    10809931
  • 项目类别:
  • 资助金额:
    $0.91万
  • 财政年份:
    2022
  • 负责人:
    Natarajan Kannan
  • 依托单位:
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