ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2010
Identifying neuronal lineages of Drosophila by sequence analysis of axon tracts.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Article
- From bristle to brain: embryonic development of topographic projections from basiconic sensilla in the antennal nervous system of the locust Schistocerca gregaria.Development genes and evolution · 2024Article
- ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research.Advances in neurobiology · 2024Article
- The role of cell lineage in the development of neuronal circuitry and function.Developmental biology · 2021Review
- Structure and development of the subesophageal zone of the Drosophila brain. I. Segmental architecture, compartmentalization, and lineage anatomy.The Journal of comparative neurology · 2018Article
- A conserved plan for wiring up the fan-shaped body in the grasshopper and Drosophila.Development genes and evolution · 2017Article
- FluoRender: joint freehand segmentation and visualization for many-channel fluorescence data analysis.BMC bioinformatics · 2017Article
- Developmental analysis of the dopamine-containing neurons of the Drosophila brain.The Journal of comparative neurology · 2017Article
- Shedding light on cell compartmentation in the candidate phylum Poribacteria by high resolution visualisation and transcriptional profiling.Scientific reports · 2016Article
- NBLAST: Rapid, Sensitive Comparison of Neuronal Structure and Construction of Neuron Family Databases.Neuron · 2016Article
- Synaptic circuitry of identified neurons in the antennal lobe of Drosophila melanogaster.The Journal of comparative neurology · 2016Article
- Adaptive and Background-Aware GAL4 Expression Enhancement of Co-registered Confocal Microscopy Images.Neuroinformatics · 2016Article
- Patterns of growth and tract formation during the early development of secondary lineages in the Drosophila larval brain.Developmental neurobiology · 2016Article
- Article
- Article
- BlastNeuron for Automated Comparison, Retrieval and Clustering of 3D Neuron Morphologies.Neuroinformatics · 2015Article
- Lineage-associated tracts defining the anatomy of the Drosophila first instar larval brain.Developmental biology · 2015Article
- Topological characterization of neuronal arbor morphology via sequence representation: II--global alignment.BMC bioinformatics · 2015Article
- Hydroxyurea-mediated neuroblast ablation establishes birth dates of secondary lineages and addresses neuronal interactions in the developing Drosophila brain.Developmental biology · 2015Article
- Genetic transformation of structural and functional circuitry rewires the Drosophila brain.eLife · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.