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In Vivo Conditions to Identify Prkci Phosphorylation Targets Using the Analog-Sensitive Kinase Method in Zebrafish

Overview of attention for article published in PLOS ONE, June 2012
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Title
In Vivo Conditions to Identify Prkci Phosphorylation Targets Using the Analog-Sensitive Kinase Method in Zebrafish
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0040000
Pubmed ID
Authors

Elena Cibrián Uhalte, Marieluise Kirchner, Nicole Hellwig, Jasmina J. Allen, Stefan Donat, Kevan M. Shokat, Matthias Selbach, Salim Abdelilah-Seyfried

Abstract

Protein kinase C iota is required for various cell biological processes including epithelial tissue polarity and organ morphogenesis. To gain mechanistic insight into different roles of this kinase, it is essential to identify specific substrate proteins in their cellular context. The analog-sensitive kinase method provides a powerful tool for the identification of kinase substrates under in vivo conditions. However, it has remained a major challenge to establish screens based on this method in multicellular model organisms. Here, we report the methodology for in vivo conditions using the analog-sensitive kinase method in a genetically-tractable vertebrate model organism, the zebrafish. With this approach, kinase substrates can uniquely be labeled in the developing zebrafish embryo using bulky ATPγS analogs which results in the thiophosphorylation of substrates. The labeling of kinase substrates with a thiophosphoester epitope differs from phosphoesters that are generated by all other kinases and allows for an enrichment of thiophosphopeptides by immunoaffinity purification. This study provides the foundation for using the analog-sensitive kinase method in the context of complex vertebrate development, physiology, or disease.

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Geographical breakdown

Country Count As %
United States 2 4%
Canada 1 2%
Unknown 51 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 9 17%
Student > Bachelor 8 15%
Student > Master 7 13%
Student > Postgraduate 3 6%
Other 7 13%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 33%
Biochemistry, Genetics and Molecular Biology 13 24%
Chemistry 7 13%
Neuroscience 2 4%
Unspecified 1 2%
Other 4 7%
Unknown 9 17%