ArticleNucleic acids research2015
SuperFly: a comparative database for quantified spatio-temporal gene expression patterns in early dipteran embryos.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Developing an integrated understanding of the evolution of arthropod segmentation using fossils and evo-devo.Proceedings. Biological sciences · 2019Article
- Gap Gene Regulatory Dynamics Evolve along a Genotype Network.Molecular biology and evolution · 2016Article
- Geometric Morphometrics on Gene Expression Patterns Within Phenotypes: A Case Example on Limb Development.Systematic biology · 2016Article
- Germ line transformation and in vivo labeling of nuclei in Diptera: report on Megaselia abdita (Phoridae) and Chironomus riparius (Chironomidae).Development genes and evolution · 2015Article
- Maternal co-ordinate gene regulation and axis polarity in the scuttle fly Megaselia abdita.PLoS genetics · 2015Article
- Article
- Analysis of functional importance of binding sites in the Drosophila gap gene network model.BMC genomics · 2015Article
- High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita.Scientific data · 2015Article
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Authors and funding
8 authors.
Funding
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Abstract
We present SuperFly (http://superfly.crg.eu), a relational database for quantified spatio-temporal expression data of segmentation genes during early development in different species of dipteran insects (flies, midges and mosquitoes). SuperFly has a special focus on emerging non-drosophilid model systems. The database currently includes data of high spatio-temporal resolution for three species: the vinegar fly Drosophila melanogaster, the scuttle fly Megaselia abdita and the moth midge Clogmia albipunctata. At this point, SuperFly covers up to 9 genes and 16 time points per species, with a total of 1823 individual embryos. It provides an intuitive web interface, enabling the user to query and access original embryo images, quantified expression profiles, extracted positions of expression boundaries and integrated datasets, plus metadata and intermediate processing steps. SuperFly is a valuable new resource for the quantitative comparative study of gene expression patterns across dipteran species. Moreover, it provides an interesting test set for systems biologists interested in fitting mathematical gene network models to data. Both of these aspects are essential ingredients for progress toward a more quantitative and mechanistic understanding of developmental evolution.
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