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The problem

The problem. How to integrate the massive amounts of data on Drosophila neurobiology to explore anatomy, formulate hypotheses and find reagents?. Behavior/neural process ontology on FlyBase. Gene ontology annotations of genes neurological system process

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The problem

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  1. The problem How to integrate the massive amounts of data on Drosophila neurobiology to explore anatomy, formulate hypotheses and find reagents?

  2. Behavior/neural process ontology on FlyBase • Gene ontology annotations of genes • neurological system process 7,904 annotations coverring 3,099 proteins and 121 terms • behavior • 1,964 annotations coverring 932 proteins and 89 terms • Phenotypes • Number of annotations: 4961 • Number of terms used in annotation: 24 – all defined using GO. • Gene ontology annotations of anatomical structures • neurological system process: 1479 • detection of stimulus involved in sensory perception: 1467 • GO behavior: 17

  3. Genetic dissection of neural circuit function behavior neural activity repress activate modulate UAS - < some activity modulator > transgenic driver(s) target expression to specific neuron classes direct assays of neural activity Mutant

  4. Anatomical phenotypes DA1 vPN Phenotype Expresses Scer\GAL4[fru-NP0021] Function GO: response to pheromone GO: sensory perception of smell GO: male courtship behavior Expresses Fru Phenotype

  5. Neuron based bioinformatics: tracking 3D data segmentation registration (warping) 3D co-ordinates for neuron 3D co-ordinates for Brain regions computation of overlap Standard brain => standard 3D coordinate space QUERIES e.g.- neurons with some part in AMMC

  6. Analysis of cross-registered 3 D image data • Predicted innervation patterns • NeuronBlast => predictions of neuron classes • Predicted connectivity from Arbor proximity

  7. 3D overlap defines potential connectivity Output 300 µm / 40,000 neurons

  8. 3D overlap defines potential connectivity 300 µm / 40,000 neurons

  9. Queries • Neurons by function (inferred from phenotype or electrophysiology) • Phenotypes due to modulation of neurons in expression domain of driver X • Potential circuit partners – direct or indirect, with X function

  10. Functional annotation using GO

  11. Functional annotation using GO

  12. What we need • Clear definitions and safe inference • infer classification • Avoid vertebrate specificity • references to anatomical structures • references to species specific movement types • Bundling together of functions in species specific ways (vestibulo-auditory) • Cross ontology integration • GO; Uberon; CHEBI, PATO

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