Project description:We have developed a microfluidics-based in vitro model of the human gut allowing co-culture of human and microbial cells and subsequent multi-omic assessment of the effect of the co-culture on the host transcriptome. We compare the transcriptional changes induced in the human epithelial cell line, Caco-2 after co-culture with Lactobacillus rhamnosus GG or a consortium of Lactobacillus rhamnosus GG and Bacteroides caccae.
Project description:The purpose of this study is to determine whether cross feeding relationships can contribute to the alleviation of colitis. The two strains used in this study are Anaerostipes caccae and Bifidobacterium bifidum. Both strains are clearly present in significant amounts in the intestines of healthy humans. A. caccae is a butyrate-producing bacterium that uses lactic acid and acetate to produce butyrate. On the other hand, B. bifidum is known to produce lactic acid and acetate. The purpose of this study is to confirm the effect of the ecological network between the two strains on the improvement of colitis, particularly in terms of protecting intestinal epithelial cells.
Project description:The data set consist of three different sources. 1) All files with ecoli_* derive from a pure culture of Escherichia coli K-12 (MG1655). 2) All files with SIHUMI_standard_* derive from a mixed culture of 8 bacteria (SIHUMIx) Anaerostipes caccae (DSMZ 14662), Bacteroides thetaiotaomicron (DSMZ 2079), Bifidobacterium longum (NCC 2705), Blautia producta (DSMZ 2950), Clostridium butyricum (DSMZ 10702), Clostridium ramosum (DSMZ 1402), Escherichia coli K-12 (MG1655) and Lactobacillus plantarum (DSMZ 20174). A standard proteomic protocol was used for purification. 3) All files with SIHUMI_small_* derive from the same bacteria culture as second source in contrast a variety of different proteomic protocols were used to enhance enrichment of small (<100 AS) Proteins. The goal of the project was to design a workflow to quickly prioritize novel protein candidates. The workflow was designed to be robust in a meta-omics context and facilitate the integration of transcriptomic and other information on a genomic level. The MS-data from the first source was used to test the workflow under well controlled conditions, namely in pure culture and near complete annotation. The workflow was used with data from the second source to see if good results can be produced in a mixed culture. To enhance the chances of finding novel proteins we incorporated the data from the third source.
Project description:We used a whole-genome microarray based on the sequenced strain Lactobacillus sakei 23K to study ribose catabolism in three Lactobacillus sakei strains by screening for differentially expressed genes when grown on ribose compared to glucose
