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A chemical-genetics approach to study the role of atypical protein kinase C in Drosophila

Authors: Matthew Hannaford; Nicolas Loyer; Francesca Tonelli; Martin Zoltner; Jens Januschke;

A chemical-genetics approach to study the role of atypical protein kinase C in Drosophila

Abstract

Studying the function of proteins using genetics in cycling cells is complicated by the fact that there is often a delay between gene inactivation and the timepoint of phenotypic analysis. This is particularly true when studying kinases, that have pleiotropic functions and multiple substrates. Drosophila neuroblasts are rapidly dividing stem cells and an important model system to study cell polarity. Mutations in multiple kinases cause neuroblast polarity defects, but their precise functions at particular time points in the cell cycle are unknown. Here we use chemical genetics and report the generation of an analogue-sensitive (as) allele of Drosophila atypical protein kinase C (aPKC). We demonstrate that the resulting mutant aPKC kinase can be specifically inhibited in vitro and in vivo. Acute inhibition of aPKC during neuroblast polarity establishment abolishes asymmetric localization of Miranda while its inhibition during NB polarity maintenance does not in the time frame of normal mitosis. However, aPKC contributes to sharpen the pattern of Miranda, by keeping it off the apical and lateral cortex after nuclear envelope breakdown.

Keywords

570, Embryo, Nonmammalian, /dk/atira/pure/subjectarea/asjc/1300/1312, Chemical genetics, Techniques and Resources, Neuroblasts, Loss of Function Mutation, atypical Protein Kinase C, Animals, Drosophila Proteins, Alleles, Protein Kinase C, Neurons, 500, Cell Polarity, name=Molecular Biology, name=Developmental Biology, Drosophila melanogaster, Larva, Asymmetric cell division, Drosophila, RNA Interference, /dk/atira/pure/subjectarea/asjc/1300/1309, Cell Division

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Average
Top 10%
Green
hybrid