Project description:The relationship between the microbial changes with clinical-pathological outcomes are still far from being conclusive. Herein, we investigate the ability of metagenomics (MG) and metaproteomics (MP) saliva data in distinguishing C, L0 and L1 patients. For that, we combined two strategies using MG analysis using 16S rDNA sequencing of saliva cells, and MP analysis using liquid chromatography tandem mass spectrometry of saliva supernatant and cells.
Project description:Prostate of SD rats was injected with 0.1 ml 1% carrageenan to induce chronic nonbacterial prostatitis, and the control rats injected with sterile saline. Then, the cecal contents were collected for 16S rDNA sequencing.
Project description:The aim of this study is to explore the mechanism by which Youtianli dietary supplement improves intestinal microbiota homeostasis and immune function in young mice by regulating the short chain fatty acid (SCFAs) - Tregs cell axis. We revealed the specific effects of Youtianli on LPS induced immune disorder model mice through 16S rDNA sequencing and various biological analysis methods.
Project description:We compared the microbiota of paired mouse caecal contents and faeces by applying a multi-omic approach, including 16S rDNA sequencing, shotgun metagenomics, and shotgun metaproteomics. The aim of the study was to verify whether faecal samples are a reliable proxy for the mouse colonic luminal microbiota, as well as to identify changes in taxonomy and functional activity between caecal and faecal microbial communities, which have to be carefully considered when using stool as sample for mouse gut microbiota investigations.
Project description:In Drosophila, we tried to determine the microbiota associated with age-dependent sleep fragmentation. To this end, the aged male flies showing sleep fragmentation was sampled to compare with those without showing sleep fragmentation. Using an optimized data analysis workflow, we obtained about 0.1 million reads of 16s rDNA from single flies. Data indicated different microbiome between two groups.
2026-04-20 | GSE294444 | GEO
Project description:dsHSP70 16s rDNA data
| PRJNA1134906 | ENA
Project description:Gut bacterial 16S rDNA sequencing data
| PRJNA609532 | ENA
Project description:Gut bacterial 16S rDNA sequencing data
