| Literature DB >> 17381163 |
Andrew H A Clayton1, Maria L Tavarnesi, Terrance G Johns.
Abstract
Characterization of the association states of the unligated epidermal growth factor receptor (EGFR) is important in understanding the mechanism of EGFR tyrosine kinase activation in a tumor cell environment. We analyzed, in detail, the association states of unligated, immunotagged EGFR on the surface of intact epidermoid carcinoma A431 cells, using AlexaFluor488 and AlexaFluor546 anti-EGFR antibody, mAb528, as probes. Image correlation microscopy revealed the presence of unligated EGFR in submicron scale clusters containing an average of 10-30 receptors (mean cluster density = 32 +/- 9 clusters per square micron). Lifetime-based Förster resonance energy transfer (FRET) techniques as a function of acceptor:donor labeling ratio disclosed a clustering of the unligated EGFR in clusters containing an average of four receptors on the nanometer (<10 nm) scale. The relationship between the nanoscale and submicron scale associations was determined using a new analysis that combines nanoscale information from lifetime-detected FRET imaging with submicron scale information obtained with image correlation microscopy. This analysis revealed the presence of monomers (or small oligomers) and larger clusters containing 15-30 receptors that were partially associated on the sub-10 nm scale. Pretreatment of the cells with the tyrosine kinase inhibitor AG1478 caused a partial dispersal of the submicron clusters (mean cluster density = 85 +/- 15 clusters per square micron; mean degree of association = 4-10 receptors per cluster) and reduced the level of FRET down to our limit of detection. These results are consistent with a higher order nanoscale receptor organization of the unligated receptor population that is partially controlled by the kinase domains. The ramifications of the results to mechanisms of EGFR activation in a tumor cell environment are discussed.Entities:
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Year: 2007 PMID: 17381163 DOI: 10.1021/bi700002b
Source DB: PubMed Journal: Biochemistry ISSN: 0006-2960 Impact factor: 3.162