Project description:Regulatory T cells (Tregs) are immune cells that play a crucial role in maintaining tolerance to harmless antigens, including commensal microbes. In the intestine, Tregs can be classified into subsets based on their expression of transcription factors Helios, Rorg, Gata3 and cMaf. The exact functions of the intestinal Treg subsets and their role in maintaining tolerance to intestinal microbes is not fully understood. Here, we generated conditional knockout mice of each Treg subset and profiled the composition of their intestinal microbiota by performing 16S rRNA sequencing of stool from conditional knockouts and matched littermate controls.
Project description:Within the human gut reside diverse microbes coexisting with the host in a mutually advantageous relationship. We comprehensively identified the modulatory effects of phylogenetically diverse human gut microbes on the murine intestinal transcriptome. Gene-expression profiles were generated from the whole-tissue intestinal RNA of mice colonized with various single microbial strains. The selection of microbe-specific effects, from the transcriptional response, yielded only a small number of transcripts, indicating that symbiotic microbes have only limited effects on the gut transcriptome overall. Moreover, none of these microbe-specific transcripts was uniformly induced by all microbes. Interestingly, these responsive transcripts were induced by some microbes but repressed by others, suggesting different microbes can have diametrically opposed consequences.
2017-02-16 | GSE88919 | GEO
Project description:Sequencing of intestinal microbes
| PRJNA883582 | ENA
Project description:Intestinal microbes
| PRJNA1013113 | ENA
Project description:Intestinal microbes
| PRJNA1013364 | ENA
Project description:Intestinal microbes
| PRJNA1013250 | ENA
Project description:Intestinal microbiota from broilers
| PRJNA1120625 | ENA
Project description:Intestinal microiota in broilers
Project description:To investigate genes involved in abdominal fat deposition and fat metabolism of broilers, we used highthroughput sequencing to detect the differentially expressed genes in livers and abdominal fats of broilers which were fed with a normal diet and a high-fat diet, respectively. The broilers began to fed with a normal or a high-fat diet in 1-week-old. After 7 weeks, the broilers were be executed and the livers and abdominal fats were used to extracted total RNAs. Finally, the total RNAs were be sequenced used BGISEQ-500 platform.