@article {48960, title = {Cell dynamics underlying oriented growth of the Drosophila wing imaginal disc.}, journal = {Development (Cambridge, England)}, volume = {144}, year = {2017}, month = {2017 Dec 01}, pages = {4406-4421}, abstract = {

Quantitative analysis of the dynamic cellular mechanisms shaping the Drosophila wing during its larval growth phase has been limited, impeding our ability to understand how morphogen patterns regulate tissue shape. Such analysis requires explants to be imaged under conditions that maintain both growth and patterning, as well as methods to quantify how much cellular behaviors change tissue shape. Here, we demonstrate a key requirement for the steroid hormone 20-hydroxyecdysone (20E) in the maintenance of numerous patterning systems in vivo and in explant culture. We find that low concentrations of 20E support prolonged proliferation in explanted wing discs in the absence of insulin, incidentally providing novel insight into the hormonal regulation of imaginal growth. We use 20E-containing media to observe growth directly and to apply recently developed methods for quantitatively decomposing tissue shape changes into cellular contributions. We discover that whereas cell divisions drive tissue expansion along one axis, their contribution to expansion along the orthogonal axis is cancelled by cell rearrangements and cell shape changes. This finding raises the possibility that anisotropic mechanical constraints contribute to growth orientation in the wing disc.

}, keywords = {Animals, Animals, Genetically Modified, Body Patterning, Cell Proliferation, Drosophila melanogaster, Ecdysterone, Gene Expression Profiling, Gene Expression Regulation, Developmental, Genes, Insect, Imaginal Discs, Insulin, Morphogenesis, Signal Transduction, Transcription, Genetic, Wings, Animal}, issn = {1477-9129}, doi = {10.1242/dev.155069}, author = {Dye, Natalie A and Popovi{\'c}, Marko and Spannl, Stephanie and Etournay, Rapha{\"e}l and Kainm{\"u}ller, Dagmar and Ghosh, Suhrid and Myers, Eugene W and J{\"u}licher, Frank and Eaton, Suzanne} } @article {48418, title = {PreMosa: Extracting 2D surfaces from 3D microscopy mosaics.}, journal = {Bioinformatics (Oxford, England)}, volume = {33}, year = {2017}, month = {2017 Apr 05}, pages = {2563-9}, abstract = {

Motivation: A significant focus of biological research is to understand the development, organization and function of tissues. A particularly productive area of study is on single layer epithelial tissues in which the adherence junctions of cells form a 2D manifold that is fluorescently labeled. Given the size of the tissue, a microscope must collect a mosaic of overlapping 3D stacks encompassing the stained surface. Downstream interpretation is greatly simplified by preprocessing such a dataset as follows: (a) extracting and mapping the stained manifold in each stack into a single 2D projection plane, (b) correcting uneven illumination artifacts, (c) stitching the mosaic planes into a single, large 2D image, and (d) adjusting the contrast.

Results: We have developed PreMosa, an efficient, fully automatic pipeline to perform the four preprocessing tasks above resulting in a single 2D image of the stained manifold across which contrast is optimized and illumination is even. Notable features are as follows. First, the 2D projection step employs a specially developed algorithm that actually finds the manifold in the stack based on maximizing contrast, intensity and smoothness. Second, the projection step comes first, implying all subsequent tasks are more rapidly solved in 2D. And last, the mosaic melding employs an algorithm that globally adjusts contrasts amongst the 2D tiles so as to produce a seamless, high-contrast image. We conclude with an evaluation using ground-truth datasets and present results on datasets from Drosophila melanogaster wings and Schmidtae mediterranea ciliary components.

Availability: PreMosa is available under https://cblasse.github.io/premosa.

Contact: blasse@mpi-cbg.de, myers@mpi-cbg.de.

}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btx195}, author = {Blasse, Corinna and Saalfeld, Stephan and Etournay, Rapha{\"e}l and Sagner, Andreas and Eaton, Suzanne and Myers, Eugene W} }