TY - JOUR AB - In November 2016, developmental biologists, synthetic biologists and engineers gathered in Paris for a meeting called ‘Engineering the embryo’. The participants shared an interest in exploring how synthetic systems can reveal new principles of embryonic development, and how the in vitro manipulation and modeling of development using stem cells can be used to integrate ideas and expertise from physics, developmental biology and tissue engineering. As we review here, the conference pinpointed some of the challenges arising at the intersection of these fields, along with great enthusiasm for finding new approaches and collaborations. AU - Kicheva, Anna AU - Rivron, Nicolas ID - 654 IS - 5 JF - Development SN - 09501991 TI - Creating to understand – developmental biology meets engineering in Paris VL - 144 ER - TY - CONF AB - This paper studies the complexity of estimating Rényi divergences of discrete distributions: p observed from samples and the baseline distribution q known a priori. Extending the results of Acharya et al. (SODA'15) on estimating Rényi entropy, we present improved estimation techniques together with upper and lower bounds on the sample complexity. We show that, contrarily to estimating Rényi entropy where a sublinear (in the alphabet size) number of samples suffices, the sample complexity is heavily dependent on events occurring unlikely in q, and is unbounded in general (no matter what an estimation technique is used). For any divergence of integer order bigger than 1, we provide upper and lower bounds on the number of samples dependent on probabilities of p and q (the lower bounds hold for non-integer orders as well). We conclude that the worst-case sample complexity is polynomial in the alphabet size if and only if the probabilities of q are non-negligible. This gives theoretical insights into heuristics used in the applied literature to handle numerical instability, which occurs for small probabilities of q. Our result shows that they should be handled with care not only because of numerical issues, but also because of a blow up in the sample complexity. AU - Skórski, Maciej ID - 6526 SN - 9781509040964 T2 - 2017 IEEE International Symposium on Information Theory (ISIT) TI - On the complexity of estimating Rènyi divergences ER - TY - JOUR AB - The bacterial flagellum is a self-assembling nanomachine. The external flagellar filament, several times longer than a bacterial cell body, is made of a few tens of thousands subunits of a single protein: flagellin. A fundamental problem concerns the molecular mechanism of how the flagellum grows outside the cell, where no discernible energy source is available. Here, we monitored the dynamic assembly of individual flagella using in situ labelling and real-time immunostaining of elongating flagellar filaments. We report that the rate of flagellum growth, initially ~1,700 amino acids per second, decreases with length and that the previously proposed chain mechanism does not contribute to the filament elongation dynamics. Inhibition of the proton motive force-dependent export apparatus revealed a major contribution of substrate injection in driving filament elongation. The combination of experimental and mathematical evidence demonstrates that a simple, injection-diffusion mechanism controls bacterial flagella growth outside the cell. AU - Renault, Thibaud AU - Abraham, Anthony AU - Bergmiller, Tobias AU - Paradis, Guillaume AU - Rainville, Simon AU - Charpentier, Emmanuelle AU - Guet, Calin C AU - Tu, Yuhai AU - Namba, Keiichi AU - Keener, James AU - Minamino, Tohru AU - Erhardt, Marc ID - 655 JF - eLife SN - 2050084X TI - Bacterial flagella grow through an injection diffusion mechanism VL - 6 ER - TY - JOUR AB - Plant organs are typically organized into three main tissue layers. The middle ground tissue layer comprises the majority of the plant body and serves a wide range of functions, including photosynthesis, selective nutrient uptake and storage, and gravity sensing. Ground tissue patterning and maintenance in Arabidopsis are controlled by a well-established gene network revolving around the key regulator SHORT-ROOT (SHR). In contrast, it is completely unknown how ground tissue identity is first specified from totipotent precursor cells in the embryo. The plant signaling molecule auxin, acting through AUXIN RESPONSE FACTOR (ARF) transcription factors, is critical for embryo patterning. The auxin effector ARF5/MONOPTEROS (MP) acts both cell-autonomously and noncell-autonomously to control embryonic vascular tissue formation and root initiation, respectively. Here we show that auxin response and ARF activity cell-autonomously control the asymmetric division of the first ground tissue cells. By identifying embryonic target genes, we show that MP transcriptionally initiates the ground tissue lineage and acts upstream of the regulatory network that controls ground tissue patterning and maintenance. Strikingly, whereas the SHR network depends on MP, this MP function is, at least in part, SHR independent. Our study therefore identifies auxin response as a regulator of ground tissue specification in the embryonic root, and reveals that ground tissue initiation and maintenance use different regulators and mechanisms. Moreover, our data provide a framework for the simultaneous formation of multiple cell types by the same transcriptional regulator. AU - Möller, Barbara AU - Ten Hove, Colette AU - Xiang, Daoquan AU - Williams, Nerys AU - López, Lorena AU - Yoshida, Saiko AU - Smit, Margot AU - Datla, Raju AU - Weijers, Dolf ID - 657 IS - 12 JF - PNAS SN - 00278424 TI - Auxin response cell autonomously controls ground tissue initiation in the early arabidopsis embryo VL - 114 ER - TY - JOUR AB - Human neurons transplanted into a mouse model for Alzheimer’s disease show human-specific vulnerability to β-amyloid plaques and may help to identify new therapeutic targets. AU - Novarino, Gaia ID - 656 IS - 381 JF - Science Translational Medicine SN - 19466234 TI - Modeling Alzheimer's disease in mice with human neurons VL - 9 ER -