@article{401, abstract = {The actomyosin cytoskeleton, a key stress-producing unit in epithelial cells, oscillates spontaneously in a wide variety of systems. Although much of the signal cascade regulating myosin activity has been characterized, the origin of such oscillatory behavior is still unclear. Here, we show that basal myosin II oscillation in Drosophila ovarian epithelium is not controlled by actomyosin cortical tension, but instead relies on a biochemical oscillator involving ROCK and myosin phosphatase. Key to this oscillation is a diffusive ROCK flow, linking junctional Rho1 to medial actomyosin cortex, and dynamically maintained by a self-activation loop reliant on ROCK kinase activity. In response to the resulting myosin II recruitment, myosin phosphatase is locally enriched and shuts off ROCK and myosin II signals. Coupling Drosophila genetics, live imaging, modeling, and optogenetics, we uncover an intrinsic biochemical oscillator at the core of myosin II regulatory network, shedding light on the spatio-temporal dynamics of force generation.}, author = {Qin, Xiang and Hannezo, Edouard B and Mangeat, Thomas and Liu, Chang and Majumder, Pralay and Liu, Jjiaying and Choesmel Cadamuro, Valerie and Mcdonald, Jocelyn and Liu, Yinyao and Yi, Bin and Wang, Xiaobo}, journal = {Nature Communications}, number = {1}, publisher = {Nature Publishing Group}, title = {{A biochemical network controlling basal myosin oscillation}}, doi = {10.1038/s41467-018-03574-5}, volume = {9}, year = {2018}, } @article{318, abstract = {The insect’s fat body combines metabolic and immunological functions. In this issue of Developmental Cell, Franz et al. (2018) show that in Drosophila, cells of the fat body are not static, but can actively “swim” toward sites of epithelial injury, where they physically clog the wound and locally secrete antimicrobial peptides.}, author = {Casano, Alessandra M and Sixt, Michael K}, journal = {Developmental Cell}, number = {4}, pages = {405 -- 406}, publisher = {Cell Press}, title = {{A fat lot of good for wound healing}}, doi = {10.1016/j.devcel.2018.02.009}, volume = {44}, year = {2018}, } @article{410, abstract = {Lesion verification and quantification is traditionally done via histological examination of sectioned brains, a time-consuming process that relies heavily on manual estimation. Such methods are particularly problematic in posterior cortical regions (e.g. visual cortex), where sectioning leads to significant damage and distortion of tissue. Even more challenging is the post hoc localization of micro-electrodes, which relies on the same techniques, suffers from similar drawbacks and requires even higher precision. Here, we propose a new, simple method for quantitative lesion characterization and electrode localization that is less labor-intensive and yields more detailed results than conventional methods. We leverage staining techniques standard in electron microscopy with the use of commodity micro-CT imaging. We stain whole rat and zebra finch brains in osmium tetroxide, embed these in resin and scan entire brains in a micro-CT machine. The scans result in 3D reconstructions of the brains with section thickness dependent on sample size (12–15 and 5–6 microns for rat and zebra finch respectively) that can be segmented manually or automatically. Because the method captures the entire intact brain volume, comparisons within and across studies are more tractable, and the extent of lesions and electrodes may be studied with higher accuracy than with current methods.}, author = {Masís, Javier and Mankus, David and Wolff, Steffen and Guitchounts, Grigori and Jösch, Maximilian A and Cox, David}, journal = {Scientific Reports}, number = {1}, publisher = {Nature Publishing Group}, title = {{A micro-CT-based method for quantitative brain lesion characterization and electrode localization}}, doi = {10.1038/s41598-018-23247-z}, volume = {8}, year = {2018}, } @article{277, abstract = {Arabidopsis and human ARM protein interact with telomerase. Deregulated mRNA levels of DNA repair and ribosomal protein genes in an Arabidopsis arm mutant suggest non-telomeric ARM function. The human homolog ARMC6 interacts with hTRF2. Abstract: Telomerase maintains telomeres and has proposed non-telomeric functions. We previously identified interaction of the C-terminal domain of Arabidopsis telomerase reverse transcriptase (AtTERT) with an armadillo/β-catenin-like repeat (ARM) containing protein. Here we explore protein–protein interactions of the ARM protein, AtTERT domains, POT1a, TRF-like family and SMH family proteins, and the chromatin remodeling protein CHR19 using bimolecular fluorescence complementation (BiFC), yeast two-hybrid (Y2H) analysis, and co-immunoprecipitation. The ARM protein interacts with both the N- and C-terminal domains of AtTERT in different cellular compartments. ARM interacts with CHR19 and TRF-like I family proteins that also bind AtTERT directly or through interaction with POT1a. The putative human ARM homolog co-precipitates telomerase activity and interacts with hTRF2 protein in vitro. Analysis of Arabidopsis arm mutants shows no obvious changes in telomere length or telomerase activity, suggesting that ARM is not essential for telomere maintenance. The observed interactions with telomerase and Myb-like domain proteins (TRF-like family I) may therefore reflect possible non-telomeric functions. Transcript levels of several DNA repair and ribosomal genes are affected in arm mutants, and ARM, likely in association with other proteins, suppressed expression of XRCC3 and RPSAA promoter constructs in luciferase reporter assays. In conclusion, ARM can participate in non-telomeric functions of telomerase, and can also perform its own telomerase-independent functions.}, author = {Dokládal, Ladislav and Benková, Eva and Honys, David and Dupláková, Nikoleta and Lee, Lan and Gelvin, Stanton and Sýkorová, Eva}, journal = {Plant Molecular Biology}, number = {5}, pages = {407 -- 420}, publisher = {Springer}, title = {{An armadillo-domain protein participates in a telomerase interaction network}}, doi = {10.1007/s11103-018-0747-4}, volume = {97}, year = {2018}, } @inproceedings{299, abstract = {We introduce in this paper AMT 2.0 , a tool for qualitative and quantitative analysis of hybrid continuous and Boolean signals that combine numerical values and discrete events. The evaluation of the signals is based on rich temporal specifications expressed in extended Signal Temporal Logic (xSTL), which integrates Timed Regular Expressions (TRE) within Signal Temporal Logic (STL). The tool features qualitative monitoring (property satisfaction checking), trace diagnostics for explaining and justifying property violations and specification-driven measurement of quantitative features of the signal.}, author = {Nickovic, Dejan and Lebeltel, Olivier and Maler, Oded and Ferrere, Thomas and Ulus, Dogan}, editor = {Beyer, Dirk and Huisman, Marieke}, location = {Thessaloniki, Greece}, pages = {303 -- 319}, publisher = {Springer}, title = {{AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic}}, doi = {10.1007/978-3-319-89963-3_18}, volume = {10806}, year = {2018}, }