课题基金 / 基金详情

项目摘要

项目成果

RAMA RANGANATHAN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
Cells collect and process information about the external world through elaborate networks of proteins and small molecules that we call the signal transduction machinery. The functional capability of the transduction machinery is often prodigious; weak input signals can be selectively amplified and filtered for optimal sensing of physiological stimuli, and layers of feedback control provide for complex regulatory characteristics and protection against output saturation. For example, sensory neurons of the eye can generate reliable electrical responses to the absorption of single photons under dark adapted conditions, but can also adjust the gain to continue operating in bright daylight conditions without response saturation. The overall goal of our research program is to understand how signaling systems provide for such functional characteristics, and how disease processes arise from defects in the underlying mechanisms. In this application, we propose to mechanistically understand a specific macromolecular complex that is required for visual function in Drosophila. The complex is assembled by a multi-PDZ domain protein called InaD, and our recent work shows that rather than acting as a passive scaffold, this protein is a dynamic machine that undergoes light-dependent conformational changes at the time scale of visual signaling. In the course of the experiments proposed here, we will (1) understand the exact physiological processes controlled by InaD dynamics, (2) define how light-signaling is coupled to the conformational switching of InaD, (3) define how the conformational change regulates the visual output, and (4) carry out studies to see if InaD organizes spatial gradients of signaling molecules. InaD has already served as a classic model system for understanding macromolecular organization of signaling systems. We expect that this work will expose new mechanisms of InaD function, and will help resolve current models for scaffolding in general. Scaffolding is thought to enhance the efficiency and specificity of signaling events in many cells, and defects in scaffolding have been associated with diverse disease processes, including cancer, chronic inflammaton, and developmental abnormalities. By showing how scaffolding proteins can alsoactively shape signaling events through dynamical conformational change, this work should help extend our understanding of the normal and pathological states of cellular signlaing systems.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.cell.2009.07.038
发表时间: 2009-08-21
期刊: Cell
影响因子: 64.5
作者: [Halabi N, Rivoire O, Leibler S, Ranganathan R]
通讯作者: Ranganathan R
A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing.
利用高通量测序对全蛋白饱和诱变文库进行功能评估的方案。
DOI: 10.3791/54119
发表时间: 2016
期刊: Journal of visualized experiments : JoVE
影响因子: --
作者: [Stiffler,MichaelA, Subramanian,SubuK, Salinas,VictorH, Ranganathan,Rama]
通讯作者: Ranganathan,Rama
DOI: 10.1126/science.1159052
发表时间: 2008-10-17
期刊: Science (New York, N.Y.)
影响因子: --
作者: [Lee J, Natarajan M, Nashine VC, Socolich M, Vo T, Russ WP, Benkovic SJ, Ranganathan R]
通讯作者: Ranganathan R
Evolution-based design of proteins.
基于进化的蛋白质设计。
DOI: 10.1016/b978-0-12-394292-0.00010-2
发表时间: 2013
期刊: Methods in enzymology
影响因子: --
作者: [Reynolds,KimberlyA, Russ,WilliamP, Socolich,Michael, Ranganathan,Rama]
通讯作者: Ranganathan,Rama
6
    Data-driven, evolution-based design of proteins
    • 批准号:
      10185231
    • 项目类别:
    • 资助金额:
      $31.69万
    • 财政年份:
      2021
    • 负责人:
      RAMA RANGANATHAN
    • 依托单位:
    Data-driven, evolution-based design of proteins
    • 批准号:
      10451529
    • 项目类别:
    • 资助金额:
      $31.69万
    • 财政年份:
      2021
    • 负责人:
      RAMA RANGANATHAN
    • 依托单位:
    Data-driven, evolution-based design of proteins
    • 批准号:
      10626884
    • 项目类别:
    • 资助金额:
      $31.69万
    • 财政年份:
      2021
    • 负责人:
      RAMA RANGANATHAN
    • 依托单位:
    Electric Field-stimulated Protein Mechanics
    • 批准号:
      10093087
    • 项目类别:
    • 资助金额:
      $30.45万
    • 财政年份:
      2019
    • 负责人:
      RAMA RANGANATHAN
    • 依托单位:
    海外基金