High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita.
Karl R WottonEva Jiménez-GuriAnton CrombachDamjan Cicin-SainJohannes JaegerPublished in: Scientific data (2015)
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.
Keyphrases
- high resolution
- gene expression
- electronic health record
- poor prognosis
- big data
- dna methylation
- genome wide
- binding protein
- mass spectrometry
- wild type
- physical activity
- pregnant women
- machine learning
- body mass index
- pregnancy outcomes
- quality improvement
- weight loss
- copy number
- dengue virus
- genome wide analysis
- zika virus
- preterm birth
- bioinformatics analysis
- weight gain
- tandem mass spectrometry