Literature DB >> 18849880

Expression of a chimeric CSF1R-LTK mediates ligand-dependent neurite outgrowth.

Shigeru Yamada1, Takashi Nomura, Kota Takano, Satoshi Fujita, Masato Miyake, Jun Miyake.   

Abstract

In an earlier screening, we identified several genes for kinases that might control the extension of neurites. One of these genes encoded a leukocyte tyrosine kinase (LTK), which is a receptor tyrosine kinase whose ligands remain to be identified. To examine the possible role of this LTK in neurite outgrowth, we constructed a chimeric receptor, in which the extracellular domain of the receptor for colony-stimulating factor-1 was fused to the cytoplasmic domain of LTK, which allowed the selective activation of LTK by colony-stimulating factor-1. Our studies using this chimeric receptor suggest that activation of the tyrosine kinase activity of LTK is sufficient to promote neurite outgrowth through pathways that include reactions catalyzed by phosphatidylinositol 3-kinase and MAPK.

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Year:  2008        PMID: 18849880     DOI: 10.1097/WNR.0b013e3283186bf8

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  5 in total

Review 1.  The role of tyrosine kinases in systemic lupus erythematosus and their potential as therapeutic targets.

Authors:  Wen-Hai Shao; Philip L Cohen
Journal:  Expert Rev Clin Immunol       Date:  2014-03-29       Impact factor: 4.473

2.  ALK-activating homologous mutations in LTK induce cellular transformation.

Authors:  J Devon Roll; Gary W Reuther
Journal:  PLoS One       Date:  2012-02-09       Impact factor: 3.240

Review 3.  Anaplastic Lymphoma Kinase (ALK) Receptor Tyrosine Kinase: A Catalytic Receptor with Many Faces.

Authors:  Hao Huang
Journal:  Int J Mol Sci       Date:  2018-11-02       Impact factor: 5.923

Review 4.  Anaplastic lymphoma kinase: signalling in development and disease.

Authors:  Ruth H Palmer; Emma Vernersson; Caroline Grabbe; Bengt Hallberg
Journal:  Biochem J       Date:  2009-05-27       Impact factor: 3.857

5.  Target inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathways.

Authors:  Jing Tang; Leena Karhinen; Tao Xu; Agnieszka Szwajda; Bhagwan Yadav; Krister Wennerberg; Tero Aittokallio
Journal:  PLoS Comput Biol       Date:  2013-09-12       Impact factor: 4.475

  5 in total

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