A new publication of F. Devaux Team in NAR:
The discovery of novel specific ribosome-associated factors challenges the assumption that translation relies on standardized molecular machinery. In this work, we demonstrate that Tma108, an uncharacterized translation machinery-associated factor in yeast, is a specific nascent-chain associated factor selectively recruited during the translation of less than 200 mRNAs encoding proteins with ATP or Zinc binding domains. Tma108 is a unique example of a nascent chain-associated factor with high selectivity and its study illustrates the existence of other specific translation-associated factors besides RNA binding proteins.
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World Community Grid (WCG - IBM) posts a news on our new article appeared in Proteins exploring data obtained in WCG during the "Help Cure Muscular Dystrophy Project". This work is part of the MAPPING project (Investissement d'Avenir en Bioinformatique).
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Martin Weigt co-organizes the conference "Statistical physics methods in biology and computer science", a satellite of StatPhys2016, Ecole Normale Superieure, Paris, July 11-16, 2016. It will cover recent progress on the use of methods from statistical mechanics of disordered systems for high dimensional problems related to biology and computer science. Organizers: Simona Cocco, Florent Krzakala, Remi Monasson, Guilhem Semerjian, Martin Weigt, Lenka Zdeborova.
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We published a new generation domain annotation approach, demonstrating that "multi-source" domain modelling is more appropriate than "mono-source" domain modelling for capturing remote homology. We re-annotate the Plasmodium falciparum genome.
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F. Devaux's team published one of the first ChIP-seq-based description of the transcriptional regulatory networks in the pathogenic yeast Candida glabrata. This work, which was performed in collaboration with J-M. Camadro and G. Lelandais from the Jacques Monod Institute and with the NGS platform directed by S. Le Crom, is the first publication from a larger ANR project aiming at a comprehensive description of stress response regulatory networks in this emerging human pathogen.
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Alessandra Carbone organises with Ion Petre (Turku Centre for Computer Science) the special session "Computation in biological systems" at the international conference "Computability in Europe 2016", Université Paris 7, June 27th 2016 - July 1st 2016
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On June 21, 2016, LCQB was the Paris Hub for the Global City Sampling Day, an international study of antimicrobial resistance spanning six continents, 32 countries and 54 cities. This event brings together more than 400 people, expected to collect about 12.000 samples of DNA, RNA and microbes from surfaces in well-traveled public meeting spaces. The data will help scientists of the MetaSub Global consortium better understand antimicrobial resistance in urban centers, and also identify new, naturally occurring drugs made by microbes, known as biosynthetic gene clusters. UPMC students in Computer Science and Molecular Biology, together with researchers collected more 80 samples at the entrance of parisian subway stations. The Paris event was organised by Hugues Richard (Analytical Genomics) and Ingrid Lafontaine (Biology of Genomes).
More information on the project: www.metasub.org
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