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Assembly of Signaling Complexes01:30

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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
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Cytoskeletal filaments are polymeric forms of smaller protein subunits. However, individual cytoskeletal filaments may easily disassemble or associate with other similar filaments to form rigid structures. Microfilaments, made of actin monomers, rely on actin-binding proteins to form bundles and create networks of individual actin filaments. Microtubules rely on microtubule-associated proteins (MAPs) to form sturdy cylindrical structures. However, the proteins involved in forming complex...
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A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker...
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Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
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Dynamic multiprotein assemblies shape the spatial structure of cell signaling.

Ruth Nussinov1, Hyunbum Jang2

  • 1Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA; Sackler Inst. of Molecular Medicine, Department of Human Genetics and Molecular Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.

Progress in Biophysics and Molecular Biology
|July 22, 2014
PubMed
Summary

Cell signaling relies on dynamic, multiprotein assemblies, not just discrete pathways. These networks, like those involving IQGAP1, enable efficient and reliable cellular communication across the cell.

Keywords:
Cell organizationCell signalingCell structureDiffusionSignal transductionSignaling modules

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Area of Science:

  • Cell Biology
  • Molecular Biology
  • Biochemistry

Background:

  • Cell signaling governs crucial cellular decisions, requiring coordination, efficiency, and fail-safe mechanisms.
  • Traditional models often view signaling through discrete, modular pathways, potentially neglecting spatial organization and inter-protein interactions.
  • The spatial arrangement and dynamics of signaling molecules significantly impact cellular function.

Purpose of the Study:

  • To challenge the traditional view of cell signaling as solely discrete pathways.
  • To propose that cell signaling is fundamentally shaped by dynamic networks of multiprotein assemblies.
  • To highlight the role of scaffolding proteins and membrane anchoring in organizing signaling networks.

Main Methods:

  • The study presents a theoretical framework based on existing literature and experimental observations.
  • It analyzes the structure and function of multiprotein complexes, focusing on scaffolding proteins like IQGAP1.
  • It discusses the dynamic nature of protein-protein interactions and their contribution to cellular organization.

Main Results:

  • Cell signaling is proposed to occur through loose, dynamic networks of pre-organized multiprotein assemblies.
  • Scaffolding proteins, such as IQGAP1, mediate transient complexes and contribute to membrane-anchored nanoclusters and cytoskeleton dynamics.
  • These dynamic networks exhibit gel-like properties, facilitating efficient and reliable signaling.

Conclusions:

  • Cell signaling is primarily driven by transient, pre-organized, and cooperative protein-protein interactions within dynamic networks.
  • This network model provides a more comprehensive understanding of spatial organization in cell signaling.
  • The findings suggest that signaling efficiency and reliability are enhanced by these cooperative interactions over stochastic processes.