Project description:<p>A variety of anthropogenic organohalide contaminants generated from industry are released into the environment, and thus cause serious pollution that endangers human health. In the present study, we investigated the microbial community composition of industrial saponification wastewater using 16S rRNA sequencing, providing genomic insights of potential organohalide dehalogenation bacteria (OHDBs) by whole-metagenome sequencing. We also explored yet-to-culture OHDBs involved in the microbial community. Microbial diversity analysis reveals that Proteobacteria and Patescibacteria phyla dominate microbiome abundance of the wastewater. In addition, a total of six bacterial groups (Rhizobiales, Rhodobacteraceae, Rhodospirillales, Flavobạcteriales, Micrococcales, and Saccharimonadales) were found as biomarkers in the key organohalide removal module. Ninety-four metagenome-assembled genomes (MAGs) were reconstructed from the microbial community, and 105 hydrolytic dehalogenase genes within 42 MAGs were identified, suggesting that the potential for hydrolytic organohalide dehalogenation is present in the microbial community. Subsequently, we characterized the organohalide dehalogenation of an isolated OHDB, Microbacterium sp. J1-1, which shows the dehalogenation activities of chloropropanol, dichloropropanol, and epichlorohydrin. This study provides a community-integrated multi-omics approach to gain functional OHDBs for industrial organohalide dehalogenation.</p>
Project description:The AT2-receptor (AT2R) and the receptor MAS are GPCRs within the renin-angiotensin-system mediating protective actions. Their unconventional signaling mechanisms are still not well characterized, but those known display a high degree of similarity. The proposed project is part of a large-scale collaboration with the group of Robson Santos, a leader in Ang1-7/MAS research, aiming at a better characterization of AT2R-MAS signaling and crosstalk. Building up on our finding that the AT2R and MAS heterodimerise and on the mapping of the entire Ang-(1−7)/MAS signaling network by the Santos group, the proposed studies will look at AT2R-MAS signaling in two ways: mapping the AT2R signaling network by quantitative phosphoproteomics and compare it with the MAS network.
Project description:Purpose: The goals of this study are to verify the dynamic changes of MAGs in BC1 derived different population of cells during human early hematopoietic differentian. Methods: mRNA profiles of hESC samples collected from day 0 to day 8 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions:MAGs showed convincingly dynamic expression during early hematopoietic differentiation of BC1 cells
Project description:Purpose: The goals of this study are to verify the dynamic changes of MAGs in H1 derived different population of cells during human early hematopoietic differentian. Methods: mRNA profiles of hESC samples collected from day 0 to day 8 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions:MAGs showed convincingly dynamic expression during early hematopoietic differentiation of H1 cells
Project description:Purpose: The goals of this study are to verify SNAI1 deletion is suffice to downregulate other MAGs during human early hematopoietic differentiation through comparing the transcriptome profilings in WT samples and SNAI1-knockout samples collected at day 2 after hematopoietic differentiation. Methods: mRNA profiles of hESC samples collected at day 2 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions: Knockout of SNAI1 indeed suppresses the expression of other MAGs