Yunfei Lee, Miaoxing Wang, Kousuke Imamura, Makoto Sato
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Quantitative analysis of the roles of IRM cell adhesion molecules in column formation in the fly brain
The Drosophila visual center shows columnar structures, basic structural and functional units of the brain, that are shared with the mammalian cerebral cortex. Visual information received in the ommatidia in the compound eye is transmitted to the columns in the brain. However, the developmental mechanisms of column formation are largely unknown. The Irre Cell Recognition Module (IRM) proteins are a family of immunoglobulin cell adhesion molecules. The four Drosophila IRM proteins are localized to the developing columns, the structure of which is affected in IRM mutants, suggesting that IRM proteins are essential for column formation. Since IRM proteins are cell adhesion molecules, they may regulate cell adhesion between columnar neurons. To test this possibility, we specifically knocked down IRM genes in columnar neurons and examined the defects in column formation. We developed a system that automatically extracts the individual column images and quantifies the column shape. Using this system, we demonstrated that IRM genes play critical roles in regulating column shape in a core columnar neuron, Mi1. We also show that their expression in the other columnar neurons, Mi4 and T4/5, is essential, suggesting that the interactions between IRM proteins and multiple neurons shape the columns in the fly brain.
期刊介绍:
Development Growth & Differentiation (DGD) publishes three types of articles: original, resource, and review papers.
Original papers are on any subjects having a context in development, growth, and differentiation processes in animals, plants, and microorganisms, dealing with molecular, genetic, cellular and organismal phenomena including metamorphosis and regeneration, while using experimental, theoretical, and bioinformatic approaches. Papers on other related fields are also welcome, such as stem cell biology, genomics, neuroscience, Evodevo, Ecodevo, and medical science as well as related methodology (new or revised techniques) and bioresources.
Resource papers describe a dataset, such as whole genome sequences and expressed sequence tags (ESTs), with some biological insights, which should be valuable for studying the subjects as mentioned above.
Submission of review papers is also encouraged, especially those providing a new scope based on the authors’ own study, or a summarization of their study series.