FB2026_02 , released June 18, 2026
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Citation
Guan, J., Yamazaki, Y., Chand, D., van Dijk, J.R., Ruuth, K., Palmer, R.H., Hallberg, B. (2017). Novel Mechanisms of ALK Activation Revealed by Analysis of the Y1278S Neuroblastoma Mutation.  Cancers (Basel) 9(11): E149.
FlyBase ID
FBrf0237003
Publication Type
Research paper
Abstract
Numerous mutations have been observed in the Anaplastic Lymphoma Kinase (ALK) receptor tyrosine kinase (RTK) in both germline and sporadic neuroblastoma. Here, we have investigated the Y1278S mutation, observed in four patient cases, and its potential importance in the activation of the full length ALK receptor. Y1278S is located in the 1278-YRASYY-1283 motif of the ALK activation loop, which has previously been reported to be important in the activation of the ALK kinase domain. In this study, we have characterized activation loop mutations within the context of the full length ALK employing cell culture and Drosophila melanogaster model systems. Our results show that the Y1278S mutant observed in patients with neuroblastoma harbors gain-of-function activity. Secondly, we show that the suggested interaction between Y1278 and other amino acids might be of less importance in the activation process of the ALK kinase than previously proposed. Thirdly, of the three individual tyrosines in the 1278-YRASYY-1283 activation loop, we find that Y1283 is the critical tyrosine in the activation process. Taken together, our observations employing different model systems reveal new mechanistic insights on how the full length ALK receptor is activated and highlight differences with earlier described activation mechanisms observed in the NPM-ALK fusion protein, supporting a mechanism of activation more in line with those observed for the Insulin Receptor (InR).
PubMed ID
PubMed Central ID
PMC5704167 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Cancers (Basel)
    Title
    Cancers
    ISBN/ISSN
    2072-6694
    Data From Reference
    Alleles (9)
    Genes (2)
    Human Disease Models (1)
    Natural transposons (1)
    Experimental Tools (1)
    Transgenic Constructs (9)