Dynamic Polarization of the Multiciliated Planarian Epidermis between Body Plan Landmarks.

Polarity is a universal design principle of biological systems that manifests at all organizational scales, yet its coordination across scales remains poorly understood. Here, we make use of the extreme anatomical plasticity of planarian flatworms to probe the interplay between global body plan polarity and local cell polarity. Our quantitative analysis of ciliary rootlet orientation in the epidermis reveals a dynamic polarity field with head and tail as independent determinants of anteroposterior (A/P) polarization and the body margin as determinant of mediolateral (M/L) polarization. Mathematical modeling rationalizes the global polarity field and its response to experimental manipulations as superposition of separate A/P and M/L fields, and we identify the core PCP and Ft/Ds pathways as their molecular mediators. Overall, our study establishes a framework for the alignment of cellular polarity vectors relative to planarian body plan landmarks and establishes the core PCP and Ft/Ds pathways as evolutionarily conserved 2D-polarization module.

PreMosa: extracting 2D surfaces from 3D microscopy mosaics.

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: (i) extracting and mapping the stained manifold in each stack into a single 2D projection plane, (ii) correcting uneven illumination artifacts, (iii) stitching the mosaic planes into a single, large 2D image and (iv) 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 AND IMPLEMENTATION: PreMosa is available under https://cblasse.github.io/premosa. CONTACT: blasse@mpi-cbg.de or myers@mpi-cbg.de. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Interplay of cell dynamics and epithelial tension during morphogenesis of the Drosophila pupal wing.

How tissue shape emerges from the collective mechanical properties and behavior of individual cells is not understood. We combine experiment and theory to study this problem in the developing wing epithelium of Drosophila. At pupal stages, the wing-hinge contraction contributes to anisotropic tissue flows that reshape the wing blade. Here, we quantitatively account for this wing-blade shape change on the basis of cell divisions, cell rearrangements and cell shape changes. We show that cells both generate and respond to epithelial stresses during this process, and that the nature of this interplay specifies the pattern of junctional network remodeling that changes wing shape. We show that patterned constraints exerted on the tissue by the extracellular matrix are key to force the tissue into the right shape. We present a continuum mechanical model that quantitatively describes the relationship between epithelial stresses and cell dynamics, and how their interplay reshapes the wing.

The balance of prickle/spiny-legs isoforms controls the amount of coupling between core and fat PCP systems.

BACKGROUND: The conserved Fat and Core planar cell polarity (PCP) pathways work together to specify tissue-wide orientation of hairs and ridges in the Drosophila wing. Their components form intracellularly polarized complexes at adherens junctions that couple the polarity of adjacent cells and form global patterns. How Fat and Core PCP systems interact is not understood. Some studies suggest that Fat PCP directly orients patterns formed by Core PCP components. Others implicate oriented tissue remodeling in specifying Core PCP patterns. RESULTS: We use genetics, quantitative image analysis, and physical modeling to study Fat and Core PCP interactions during wing development. We show their patterns change during morphogenesis, undergoing phases of coupling and uncoupling that are regulated by antagonistic Core PCP protein isoforms Prickle and Spiny-legs. Evolving patterns of Core PCP are hysteretic: the early Core PCP pattern is modified by tissue flows and then by coupling to Fat PCP, producing sequential patterns that guide hairs and then ridges. Our data quantitatively account for altered hair and ridge polarity patterns in PCP mutants. Premature coupling between Fat and Core PCP explains altered polarity patterns in pk mutants. In other Core PCP mutants, hair polarity patterns are guided directly by Fat PCP. When both systems fail, hairs still align locally and obey signals associated with veins. CONCLUSIONS: Temporally regulated coupling between the Fat and Core PCP systems enables a single tissue to develop sequential polarity patterns that orient distinct morphological structures.

From TER to trans- and paracellular resistance: lessons from impedance spectroscopy.

In epithelia and endothelia, overall resistance (TER) is determined by all ion-conductive structures, such as membrane channels, tight junctions, and the intercellular space, whereas the epithelial capacitance is due to the hydrophobic phase of the plasma membrane. Impedance means alternating current resistance and, in contrast to ohmic resistance, takes into account that, e.g., capacitors become increasingly conductive with increasing frequency. Impedance spectroscopy uses the association of the capacitance with the transcellular pathway to distinguish between this capacitive pathway and purely conductive components (tight junctions, subepithelium). In detail, one-path impedance spectroscopy distinguishes the resistance of the epithelium from the resistance of subepithelial tissues. Beyond that, two-path impedance spectroscopy allows for the separation of paracellular resistance (governed by tight junctional properties) from transcellular resistance (determined by conductive structures residing in the cell membranes). The present paper reviews the basic principles of these techniques, some historic milestones, as well as recent developments in epithelial physiology.

CancerResource: a comprehensive database of cancer-relevant proteins and compound interactions supported by experimental knowledge.

During the development of methods for cancer diagnosis and treatment, a vast amount of information is generated. Novel cancer target proteins have been identified and many compounds that activate or inhibit cancer-relevant target genes have been developed. This knowledge is based on an immense number of experimentally validated compound-target interactions in the literature, and excerpts from literature text mining are spread over numerous data sources. Our own analysis shows that the overlap between important existing repositories such as Comparative Toxicogenomics Database (CTD), Therapeutic Target Database (TTD), Pharmacogenomics Knowledge Base (PharmGKB) and DrugBank as well as between our own literature mining for cancer-annotated entries is surprisingly small. In order to provide an easy overview of interaction data, it is essential to integrate this information into a single, comprehensive data repository. Here, we present CancerResource, a database that integrates cancer-relevant relationships of compounds and targets from (i) our own literature mining and (ii) external resources complemented with (iii) essential experimental and supporting information on genes and cellular effects. In order to facilitate an overview of existing and supporting information, a series of novel information connections have been established. CancerResource addresses the spectrum of research on compound-target interactions in natural sciences as well as in individualized medicine; CancerResource is available at: http://bioinformatics.charite.de/cancerresource/.

FragmentStore--a comprehensive database of fragments linking metabolites, toxic molecules and drugs.

Consideration of biomolecules in terms of their molecular building blocks provides valuable new information regarding their synthesis, degradation and similarity. Here, we present the FragmentStore, a resource for the comparison of fragments found in metabolites, drugs or toxic compounds. Starting from 13,000 metabolites, 16,000 drugs and 2200 toxic compounds we generated 35,000 different building blocks (fragments), which are not only relevant to their biosynthesis and degradation but also provide important information regarding side-effects and toxicity. The FragmentStore provides a variety of search options such as 2D structure, molecular weight, rotatable bonds, etc. Various analysis tools have been implemented including the calculation of amino acid preferences of fragments' binding sites, classification of fragments based on the enzyme classification class of the enzyme(s) they bind to and small molecule library generation via a fragment-assembler tool. Using the FragmentStore, it is now possible to identify the common fragments of different classes of molecules and generate hypotheses about the effects of such intersections. For instance, the co-occurrence of fragments in different drugs may indicate similar targets and possible off-target interactions whereas the co-occurrence of fragments in a drug and a toxic compound/metabolite could be indicative of side-effects. The database is publicly available at: http://bioinformatics.charite.de/fragment_store.