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Similarities of Drosophila rab GTPases Based on Expression Profiling: Completion and Analysis of the rab-Gal4 Kit

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Title
Similarities of Drosophila rab GTPases Based on Expression Profiling: Completion and Analysis of the rab-Gal4 Kit
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040912
Pubmed ID
Authors

Eugene Jennifer Jin, Chih-Chiang Chan, Egemen Agi, Smita Cherry, Elizabeth Hanacik, Michael Buszczak, P. Robin Hiesinger

Abstract

We recently generated rab-Gal4 lines for 25 of 29 predicted Drosophila rab GTPases. These lines provide tools for the expression of reporters, mutant rab variants or other genes, under control of the regulatory elements of individual rab loci. Here, we report the generation and characterization of the remaining four rab-Gal4 lines. Based on the completed 'rab-Gal4 kit' we performed a comparative analysis of the cellular and subcellular expression of all rab GTPases. This analysis includes the cellular expression patterns in characterized neuronal and non-neuronal cells and tissues, the subcellular localization of wild type, constitutively active and dominant negative rab GTPases and colocalization with known intracellular compartment markers. Our comparative analysis identifies all Rab GTPases that are expressed in the same cells and localize to the same intracellular compartments. Remarkably, similarities based on these criteria are typically not predicted by primary sequence homology. Hence, our findings provide an alternative basis to assess potential roles and redundancies based on expression in developing and adult cell types, compartment identity and subcellular localization.

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Geographical breakdown

Country Count As %
Portugal 1 2%
Canada 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 25%
Researcher 8 17%
Student > Master 6 13%
Student > Bachelor 5 10%
Professor > Associate Professor 4 8%
Other 7 15%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 44%
Biochemistry, Genetics and Molecular Biology 11 23%
Neuroscience 7 15%
Medicine and Dentistry 2 4%
Engineering 1 2%
Other 0 0%
Unknown 6 13%