{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["2"],"submitter":["Wotton KR"],"pubmed_abstract":["Gap genes are involved in segment determination during early development in dipteran insects (flies, midges, and mosquitoes). We carried out a systematic quantitative comparative analysis of the gap gene network across different dipteran species. Our work provides mechanistic insights into the evolution of this pattern-forming network. As a central component of our project, we created a high-resolution quantitative spatio-temporal data set of gap and maternal co-ordinate gene expression in the blastoderm embryo of the non-drosophilid scuttle fly, Megaselia abdita. Our data include expression patterns in both wild-type and RNAi-treated embryos. The data-covering 10 genes, 10 time points, and over 1,000 individual embryos-consist of original embryo images, quantified expression profiles, extracted positions of expression boundaries, and integrated expression patterns, plus metadata and intermediate processing steps. These data provide a valuable resource for researchers interested in the comparative study of gene regulatory networks and pattern formation, an essential step towards a more quantitative and mechanistic understanding of developmental evolution."],"journal":["Scientific data"],"pagination":["150005"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4423355"],"repository":["biostudies-literature"],"pubmed_title":["High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita."],"pmcid":["PMC4423355"],"pubmed_authors":["Wotton KR","Jimenez-Guri E","Jaeger J","Cicin-Sain D","Crombach A"],"additional_accession":[]},"is_claimable":false,"name":"High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita.","description":"Gap genes are involved in segment determination during early development in dipteran insects (flies, midges, and mosquitoes). We carried out a systematic quantitative comparative analysis of the gap gene network across different dipteran species. Our work provides mechanistic insights into the evolution of this pattern-forming network. As a central component of our project, we created a high-resolution quantitative spatio-temporal data set of gap and maternal co-ordinate gene expression in the blastoderm embryo of the non-drosophilid scuttle fly, Megaselia abdita. Our data include expression patterns in both wild-type and RNAi-treated embryos. The data-covering 10 genes, 10 time points, and over 1,000 individual embryos-consist of original embryo images, quantified expression profiles, extracted positions of expression boundaries, and integrated expression patterns, plus metadata and intermediate processing steps. These data provide a valuable resource for researchers interested in the comparative study of gene regulatory networks and pattern formation, an essential step towards a more quantitative and mechanistic understanding of developmental evolution.","dates":{"release":"2015-01-01T00:00:00Z","publication":"2015","modification":"2025-04-22T10:25:53.618Z","creation":"2019-03-27T01:51:10Z"},"accession":"S-EPMC4423355","cross_references":{"pubmed":["25977812"],"doi":["10.1038/sdata.2015.5"]}}