Project description:In Hwang and Peli (2014), few errors occurred in computing the angular disparities. The direction of peripheral depth distortion (the angular disparity differences between what it is in real-world 3D viewing and S3D viewing) is reversed when the computational errors were corrected, making the perception of the peripheral depth to be expanded, not compressed. This reply points to the error and provides the corrected figures. Correcting these errors does not affect the general conclusion that S3D viewed on single screen display induces peripheral depth distortion which may be a cause of visually induced motion sickness.
Project description:Biogas plants (BGPs) produce methane and carbon dioxide through the anaerobic digestion of agricultural waste. Identification of strategies for more stable biogas plant operation and increased biogas yields require better knowledge about the individual degradation steps and the interactions within the microbial communities. The metaprotein profiles of ten agricultural BGPs and one laboratory reactor were investigated using a metaproteomics pipeline. Fractionation of samples using SDS-PAGE was combined with a high resolution Orbitrap mass spectrometer, metagenome sequences specific for BGPs, and the MetaProteomeAnalyzer software. This enabled us to achieve a high coverage of the metaproteome of the BGP microbial communities. The investigation revealed approx. 17,000 protein groups (metaproteins), covering the majority of the expected metabolic networks of the biogas process such as hydrolysis, transport, fermentation processes, amino acid metabolism, methanogenesis and bacterial C1-metabolism. Biological functions could be linked with the taxonomic composition. Two different types of BGPs were classified by the abundance of the acetoclastic methanogenesis and by abundance of enzymes implicating syntrophic acetate oxidation. Linking of the identified metaproteins with the process steps of the Anaerobic Digestion Model 1 proved the main model assumptions but indicated also some improvements such as considering syntrophic acetate oxidation. Beside the syntrophic interactions, the microbial communities in BGPs are also shaped by competition for substrates and host-phage interactions causing cell lysis. In particular, larger amounts of Bacteriophages for the bacterial families Bacillaceae, Enterobacteriaceae and Clostridiaceae, exceeding the cell number of the Bacteria by approximately four-fold. In contrast, less Bacteriophages were found for Archaea, but more CRISPR proteins were detected. On the one hand, the virus induced turnover of biomass might cause slow degradation of complex biomass in BGP. On the other hand, the lysis of bacterial cells allows cycling of essential nutrients.
Project description:In [1], several sentences were repeated three times on pages 4062, 4063 and 4065. In addition, many references were incorrect. The errors were introduced by the editorial office during the editing process. We apologize for this mistake and any inconvenience this may have caused to authors and readers. The corrected manuscript is given below.[...].
Project description:Comprehensive analysis of AML genomes has revealed co-occurring mutations in DNA andhistone modifying enzymes suggesting their crucial role in tumourigenesis. To gain inside intothe role of those genes in AML we generated mouse models recapitulating mutations in partof the most frequent ones. We hypothesise that aberrant chromatin modification andunderlying effect on gene expression largely contribute to leukemogenesis. To test thishypothesis we propose to compare gene expression and DNA and histone modification in thepresence or absence of single gene mutation in mouse hematopoietic stem and progenitorcompartment in a pre-leukaemia setting. Characterisation of these models will inform thebiology of AML, identify potential therapeutic targets and provide platforms for theassessment of novel therapeutics.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Fukuoka. Time-course transcriptional profiling of rice leaf in Fukuoka field in 2014. This experiment was performed to analyze the dynamics of field transcriptome data.