Soile V.E. Keranen

TL;DR: It is suggested that most animal transcription factors will be found to show a similar broad overlapping pattern of binding in vivo, with specificity achieved by modulating the amount, rather than the identity, of bound factor.

TL;DR: A suite of methods are described that provide the first quantitative three-dimensional description of gene expression and morphology at cellular resolution in whole embryos, and are sufficiently accurate to detect previously undescribed features of morphology and gene expression.

TL;DR: In this article, it is shown that to accurately describe gene expression and computationally model animal transcriptional networks, it is essential to determine the changing locations of cells in developing embryos in order to accurately predict gene expression.

TL;DR: The first components of a visualization tool, PointCloudXplore, that allows the relationships between different gene's expression to be analyzed using the Berkeley Drosophila Transcription Network Project's datasets are reported.

TL;DR: It is demonstrated that the blastoderm embryos of these species differ in their morphology in terms of size, shape, and number of nuclei, and that cell types at this stage of development are conserved, which suggests that transcriptional networks can diverge over short evolutionary timescales and that even small changes can lead to distinct output in terms.