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IQGAP1: insights into the function of a molecular puppeteer.

Molecular immunology | 2015

The intracellular spatiotemporal organization of signaling events is critical for normal cellular function. In response to environmental stimuli, cells utilize highly organized signaling pathways that are subject to multiple layers of regulation. However, the molecular mechanisms that coordinate these complex processes remain an enigma. Scaffolding proteins (scaffolins) have emerged as critical regulators of signaling pathways, many of which have well-described functions in immune cells. IQGAP1, a highly conserved cytoplasmic scaffold protein, is able to curb, compartmentalize, and coordinate multiple signaling pathways in a variety of cell types. IQGAP1 plays a central role in cell-cell interaction, cell adherence, and movement via actin/tubulin-based cytoskeletal reorganization. Evidence also implicates IQGAP1 as an essential regulator of the MAPK and Wnt/β-catenin signaling pathways. Here, we summarize the recent advances on the cellular and molecular biology of IQGAP1. We also describe how this pleiotropic scaffolin acts as a true molecular puppeteer, and highlight the significance of future research regarding the role of IQGAP1 in immune cells.

Pubmed ID: 25733387 RIS Download

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Associated grants

  • Agency: NCRR NIH HHS, United States
    Id: UL1RR031973
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI102893
  • Agency: NHLBI NIH HHS, United States
    Id: K08 HL087951
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI064826
  • Agency: NCI NIH HHS, United States
    Id: K08 CA151893
  • Agency: NCI NIH HHS, United States
    Id: CA151893-K08
  • Agency: NCI NIH HHS, United States
    Id: R01 CA179363
  • Agency: NCRR NIH HHS, United States
    Id: UL1 RR031973
  • Agency: NHLBI NIH HHS, United States
    Id: HL087951

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RRID:SCR_005012

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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