ArticleBMC research notes2012
Spatial gene expression quantification: a tool for analysis of in situ hybridizations in sea anemone Nematostella vectensis.
Article in BMC research notes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Studying gastrulation by invagination: The bending of a cell sheet by mechanical cell properties using 3D deformable cell based simulations.PLoS computational biology · 2025Article
- Article
- The rise of the starlet sea anemone Nematostella vectensis as a model system to investigate development and regeneration.Wiley interdisciplinary reviews. Developmental biology · 2016Review
- Analysis of a spatial gene expression database for sea anemone Nematostella vectensis during early development.BMC systems biology · 2015Article
- Current directions and future perspectives from the third Nematostella research conference.Zoology (Jena, Germany) · 2015Article
- Inference of the Xenopus tropicalis embryonic regulatory network and spatial gene expression patterns.BMC systems biology · 2014Article
- A computational approach towards a gene regulatory network for the developing Nematostella vectensis gut.PloS one · 2014Article
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Abstract
backgroundSpatial gene expression quantification is required for modeling gene regulation in developing organisms. The fruit fly Drosophila melanogaster is the model system most widely applied for spatial gene expression analysis due to its unique embryonic properties: the shape does not change significantly during its early cleavage cycles and most genes are differentially expressed along a straight axis. This system of development is quite exceptional in the animal kingdom.In the sea anemone Nematostella vectensis the embryo changes its shape during early development; there are cell divisions and cell movement, like in most other metazoans. Nematostella is an attractive case study for spatial gene expression since its transparent body wall makes it accessible to various imaging techniques.
findingsOur new quantification method produces standardized gene expression profiles from raw or annotated Nematostella in situ hybridizations by measuring the expression intensity along its cell layer. The procedure is based on digital morphologies derived from high-resolution fluorescence pictures. Additionally, complete descriptions of nonsymmetric expression patterns have been constructed by transforming the gene expression images into a three-dimensional representation.
conclusionsWe created a standard format for gene expression data, which enables quantitative analysis of in situ hybridizations from embryos with various shapes in different developmental stages. The obtained expression profiles are suitable as input for optimization of gene regulatory network models, and for correlation analysis of genes from dissimilar Nematostella morphologies. This approach is potentially applicable to many other metazoan model organisms and may also be suitable for processing data from three-dimensional imaging techniques.
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