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High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita

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 evolu...

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Autores principales: Wotton, Karl R, Jiménez-Guri, Eva, Crombach, Anton, Cicin-Sain, Damjan, Jaeger, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423355/
https://www.ncbi.nlm.nih.gov/pubmed/25977812
http://dx.doi.org/10.1038/sdata.2015.5
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author Wotton, Karl R
Jiménez-Guri, Eva
Crombach, Anton
Cicin-Sain, Damjan
Jaeger, Johannes
author_facet Wotton, Karl R
Jiménez-Guri, Eva
Crombach, Anton
Cicin-Sain, Damjan
Jaeger, Johannes
author_sort Wotton, Karl R
collection PubMed
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.
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spelling pubmed-44233552015-05-14 High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita Wotton, Karl R Jiménez-Guri, Eva Crombach, Anton Cicin-Sain, Damjan Jaeger, Johannes Sci Data Data Descriptor 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. Nature Publishing Group 2015-03-03 /pmc/articles/PMC4423355/ /pubmed/25977812 http://dx.doi.org/10.1038/sdata.2015.5 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
spellingShingle Data Descriptor
Wotton, Karl R
Jiménez-Guri, Eva
Crombach, Anton
Cicin-Sain, Damjan
Jaeger, Johannes
High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita
title High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita
title_full High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita
title_fullStr High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita
title_full_unstemmed High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita
title_short High-resolution gene expression data from blastoderm embryos of the scuttle fly Megaselia abdita
title_sort high-resolution gene expression data from blastoderm embryos of the scuttle fly megaselia abdita
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423355/
https://www.ncbi.nlm.nih.gov/pubmed/25977812
http://dx.doi.org/10.1038/sdata.2015.5
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