Project description:To explore the effects of gut microbiota of young (8 weeks) or old mice (18~20 months) on stroke, feces of young (Y1-Y9) and old mice (O6-O16) were collected and analyzed by 16s rRNA sequencing. Then stroke model was established on young mouse receive feces from old mouse (DOT1-15) and young mouse receive feces from young mouse (DYT1-15). 16s rRNA sequencing were also performed for those young mice received feces from young and old mice.
Project description:Analysis of breast cancer survivors' gut microbiota after lifestyle intervention, during the COVID-19 lockdown, by 16S sequencing of fecal samples.
Project description:Gut microbiota were assessed in 540 colonoscopy-screened adults by 16S rRNA gene sequencing of stool samples. Investigators compared gut microbiota diversity, overall composition, and normalized taxon abundance among these groups.
Project description:The present study provides the first large-scale characterization of miRNAs in M. amblycephala and miRNA profile of M. amblycephala with different growth performance. The discovery of miRNA resource from this study is expected to contribute to a better understanding of the miRNAs roles playing in regulating the growth biological processes in fish and the study of miRNA function and phenotype-associated miRNA identification in fish. To investigate the functions of miRNAs associated with growth of M. amblycephala, we adopted the Solexa sequencing technology to sequence two small RNA libraries prepared from four growth related tissues (brain, pituitary, liver and muscle) of M. amblycephala using individuals with relatively high and low growth rates.
Project description:Diet plays a major role in altering the composition and function of the gut microbiota. Previously most studies have focused on the effects of fiber, fat, and different amounts of protein on the gut microbiota. In this study we investigated how different sources of protein affect the gut microbiota of mice. We fed conventional and germ-free C57BL/6J mice a series of defined diets where the source of dietary protein was the key difference, which made up twenty or forty percent of the diet. The dietary protein sources used were purified protein. The diets were fed to the same mice for one week each with a fecal sample collected at the end of each week. The diets were fed in this order: standard chow, 20% soy, 20% casein, 20% rice, 40% soy, 20% yeast, 40% casein, 20% pea, 20% egg white protein, 20% chicken bone broth, and lastly at the end of the experiment half of the mice were fed the 20% soy and half the mice the 20% casein diet again as a control. We did not collect fecal samples for the chicken bone broth diet as the diet was stopped prematurely due to diet intolerance. 12 germ-free mice (6 female, 6 male) in four cages were used. 12 mice with a conventional gut microbiota in four cages were used (6 female, 6 male). One germ-free mouse was found dead after diet 5 (20% yeast) and one conventional mouse was sacrificed after the second diet (20% casein). No sample could be collected from one of the conventional mice after the 20% egg white diet.
Project description:Increasing evidence indicates that gut microbiota plays an important role in cancer progression. We have employed RNA-seq or microarray for genome including mRNA, microRNA or circRNA profiling in an gut microbiota -dependent manner, as a discovery platform to identify target genes with the potential to involve in tumor regulation. The deep sequencing analysis reveals regulatory functions of microbiota-mediated circular RNA (circRNA)/microRNA networks that may contribute to cancer progression.