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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-47195

Cardona, A; Saalfeld, S; Arganda, I; Pereanu, W; Schindelin, J; Hartenstein, V (2010). Identifying neuronal lineages of Drosophila by sequence analysis of axon tracts. Journal of Neuroscience, 30(22):7538-7553.

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Abstract

The Drosophila brain is formed by an invariant set of lineages, each of which is derived from a unique neural stem cell (neuroblast) and forms a genetic and structural unit of the brain. The task of reconstructing brain circuitry at the level of individual neurons can be made significantly easier by assigning neurons to their respective lineages. In this article we address the automation of neuron and lineage identification. We focused on the Drosophila brain lineages at the larval stage when they form easily recognizable secondary axon tracts (SATs) that were previously partially characterized. We now generated an annotated digital database containing all lineage tracts reconstructed from five registered wild-type brains, at higher resolution and including some that were previously not characterized. We developed a method for SAT structural comparisons based on a dynamic programming approach akin to nucleotide sequence alignment and a machine learning classifier trained on the annotated database of reference SATs. We quantified the stereotypy of SATs by measuring the residual variability of aligned wild-type SATs. Next, we used our method for the identification of SATs within wild-type larval brains, and found it highly accurate (93-99%). The method proved highly robust for the identification of lineages in mutant brains and in brains that differed in developmental time or labeling. We describe for the first time an algorithm that quantifies neuronal projection stereotypy in the Drosophila brain and use the algorithm for automatic neuron and lineage recognition.

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
DDC:570 Life sciences; biology
Language:English
Date:1 June 2010
Deposited On:04 Mar 2011 15:59
Last Modified:28 Nov 2013 01:17
Publisher:Society for Neuroscience
Series Name:The journal of neuroscience
Number of Pages:15
ISSN:0270-6474
Additional Information:Holder of copyright: The Society for Neuroscience
Publisher DOI:10.1523/JNEUROSCI.0186-10.2010
Citations:Web of Science®. Times Cited: 19
Google Scholar™
Scopus®. Citation Count: 18

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