Molecular Systems Biology - New articles published - 1 Jun 2016

May 2016 | Volume 12, Number 5 Submit Table of Contents Articles Volume 12, Number 5 Articles Tristetraprolin binding site atlas in the macrophage transcriptome reveals a switch for inflammation resolution A time‐resolved quantitative analysis of TTP binding sites, mRNA abundance, and mRNA stability in mouse macrophages generates a transcriptome‐wide atlas of cis‐acting elements controlling mRNA decay in inflammation. Vitaly Sedlyarov, Jörg Fallmann, Florian Ebner, Jakob Huemer, Lucy Sneezum, Masa Ivin, Kristina Kreiner, Andrea Tanzer, Claus Vogl, Ivo Hofacker, and Pavel Kovarik Published online 13.05.2016 Translation elicits a growth rate‐dependent, genome‐wide, differential protein production in Bacillus subtilis Genome‐wide transcriptome and proteome data, measurements of translation efficiency in a library of synthetic reporter fusions and a mathematical model of protein production show that translation efficiency is growth rate dependent and transcript specific. Olivier Borkowski, Anne Goelzer, Marc Schaffer, Magali Calabre, Ulrike Mäder, Stéphane Aymerich, Matthieu Jules, and Vincent Fromion Published online 17.05.2016 A population‐based temporal logic gate for timing and recording chemical events A synthetic temporal logic gate is combined with stochastic single‐cell digital response to achieve population‐level encoding of the order, timing, and duration of two chemical inputs. Victoria Hsiao, Yutaka Hori, Paul WK Rothemund, and Richard M Murray Published online 17.05.2016 Slowdown of growth controls cellular differentiation The phosphorelay network controlling sporulation in Bacillus subtilis responds to starvation by sensing the slowdown of in cellular growth. Growth rate sensing enables indirect detection of starvation without specific nutrient‐sensing mechanisms. Jatin Narula, Anna Kuchina, Fang Zhang, Masaya Fujita, Gürol M Süel, and Oleg A Igoshin Published online 23.05.2016 Chemogenomics and orthology‐based design of antibiotic combination therapies Novel combination therapies are needed to counter antibiotic resistance and reduce treatment times. The INDIGO algorithm enables the discovery of effective antibiotic combinations in less‐studied pathogens by leveraging chemogenomics data in model organisms. Sriram Chandrasekaran, Melike Cokol‐Cakmak, Nil Sahin, Kaan Yilancioglu, Hilal Kazan, James J Collins, and Murat Cokol Published online 24.05.2016   Unsubscribe from or edit your subscription for this service. Or by mail: Customer Service * 425 Broadway St * Redwood City, CA 94063 * U.S.A. Copyright © 2016 by the European Molecular Biology Organisation.