Project description:Recent genetic evidence has revealed microRNA-137 (miR-137) as a risk gene in schizophrenia and autism spectrum disorder (ASD), and the following cellular studies have demonstrated the importance of miR-137 in regulating neurogenesis. We have generated miR-137 knockout mice which display behaviors that resemble some symptoms of these two diseases. To investigate the underlying molecular mechanism, we performed comprehensive analyses of the entire RNA and protein molecules of the miR-137 mouse brains. The dataset uploaded here is the raw data of the mass spectrometry-based whole proteome analysis of the six miR-137 mouse brains: wild-type, heterozygous (miR-137+/–) and homozygous (miR-137–/–) from two different litters. The tandem mass tag (TMT) methodology was employed in this proteomics analysis for the quantitation. The sample channels are: 128C (miR-137+/+, litter 1), 129N (miR-137+/–, litter 1), 129C (miR-137–/–, litter 1), 130N (miR-137+/+, litter 2), 130C (miR-137+/–, litter 2), and 131N (miR-137–/–, litter 2).
Project description:In our previous sow study, two subpopulations of feed-restricted sows (60% of anticipated feed intake) were identified: ‘Restrict (Risk)’ that mobilized higher levels of body tissue stores (>40MJ ME day-1) compared to ‘Restrict (Non-Risk)’ sows (Patterson et al. Reprod. Fert. Deveopl., 2011, 23, 889-898) and although Risk sows maintain higher litter growth in the weaned litter, this was at the expense of lower embryonic weight in their subsequent litter compared with Non-Risk sows. To understand the underlying molecular mechanisms involved, we investigated the gene expression profiles of embryos from Risk and Non-Risk litters in this experiment.
Project description:<p>Microbial life in soil is fueled by dissolved organic matter (DOM) that leaches from the litter layer. It is well known that decomposer communities adapt to the available litter source, but it remains unclear if they functionally compete or synergistically address different litter types. Therefore, we decomposed beech, oak, pine and grass litter from two geologically distinct sites in a lab-scale decomposition experiment. We performed a correlative network analysis on the results of direct infusion HR-MS DOM analysis and cross-validated functional predictions from 16S rRNA gene amplicon sequencing and with DOM and metaproteomic analyses. Here we show that many functions are redundantly distributed within decomposer communities and that their relative expression is rapidly optimized to address litter-specific properties. However, community changes are likely forced by antagonistic mechanisms as we identified several natural antibiotics in DOM. As a consequence, the decomposer community is specializing towards the litter source and the state of decomposition (community divergence) but showing similar litter metabolomes (metabolome convergence). Our multi-omics-based results highlight that DOM not only fuels microbial life, but it additionally holds meta-metabolomic information on the functioning of ecosystems.</p>
Project description:Analysis of gene expression in the lungs of pigs from high and low litter birth weight groups (HBW and LBW) inoculated with swine influenza virus. The aim of the experiment is to determine whether litter birth weight has an effect on the innate immune response to infection in pigs, and whether differences in gene expression can be linked to epigenetic differences between the two birth weight groups.