ArticleBMC genomics2015
Putative synaptic genes defined from a Drosophila whole body developmental transcriptome by a machine learning approach.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Long-Term Memory Formation inCells · 2023Article
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- The E3 ligase Thin controls homeostatic plasticity through neurotransmitter release repression.eLife · 2022Article
- Genetic regulation of central synapse formation and organization in Drosophila melanogaster.Genetics · 2022Review
- Article
- An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach.BMC genomics · 2019Article
- The True Story ofFrontiers in physiology · 2019Review
- The Drosophila homologue of MEGF8 is essential for early development.Scientific reports · 2018Article
- Yeast interfering RNA larvicides targeting neural genes induce high rates of Anopheles larval mortality.Malaria journal · 2017Article
- Lure-and-Kill Yeast Interfering RNA Larvicides Targeting Neural Genes in the Human Disease Vector Mosquito Aedes aegypti.Scientific reports · 2017Article
- Genetic Architecture of Natural Variation Underlying Adult Foraging Behavior That Is Essential for Survival of Drosophila melanogaster.Genome biology and evolution · 2017Article
- BOD1 Is Required for Cognitive Function in Humans and Drosophila.PLoS genetics · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAssembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Although roughly a thousand genes are expected to be important for this function in Drosophila melanogaster, just a few hundreds of them are known so far.
resultsIn this work we trained three learning algorithms to predict a "synaptic function" for genes of Drosophila using data from a whole-body developmental transcriptome published by others. Using statistical and biological criteria to analyze and combine the predictions, we obtained a gene catalogue that is highly enriched in genes of relevance for Drosophila synapse assembly and function but still not recognized as such.
conclusionsThe utility of our approach is that it reduces the number of genes to be tested through hypothesis-driven experimentation.
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