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.
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.
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.
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.
Project description:Gut microbiota dysbiosis characterizes systemic metabolic alteration, yet its causality is debated. To address this issue, we transplanted antibiotic-free conventional wild-type mice with either dysbiotic (“obese”) or eubiotic (“lean”) gut microbiota and fed them either a NC or a 72%HFD. We report that, on NC, obese gut microbiota transplantation reduces hepatic gluconeogenesis with decreased hepatic PEPCK activity, compared to non-transplanted mice. Of note, this phenotype is blunted in conventional NOD2KO mice. By contrast, lean microbiota transplantation did not affect hepatic gluconeogenesis. In addition, obese microbiota transplantation changed both gut microbiota and microbiome of recipient mice. Interestingly, hepatic gluconeogenesis, PEPCK and G6Pase activity were reduced even once mice transplanted with the obese gut microbiota were fed a 72%HFD, together with reduced fed glycaemia and adiposity compared to non-transplanted mice. Notably, changes in gut microbiota and microbiome induced by the transplantation were still detectable on 72%HFD. Finally, we report that obese gut microbiota transplantation may impact on hepatic metabolism and even prevent HFD-increased hepatic gluconeogenesis. Our findings may provide a new vision of gut microbiota dysbiosis, useful for a better understanding of the aetiology of metabolic diseases. all livers are from NC-fed mice only.
Project description:To compare the similarities and differences in species diversity of the gut microbiota between the patients with melasma and healthy subjects. The feces were collected for 16S rRNA sequencing analysis of the gut microbiota.
Project description:In the presented study, in order to unravel gut microbial community multiplicity and the influence of maternal milk nutrients (i.e., IgA) on gut mucosal microbiota onset and shaping, a mouse GM (MGM) was used as newborn study model to discuss genetic background and feeding modulation on gut microbiota in term of symbiosis, dysbiosis and rebiosis maintenance during early gut microbiota onset and programming after birth. Particularly, a bottom-up shotgun metaproteomic approach, combined with a computational pipeline, has been compred with a culturomics analysis of mouse gut microbiota, obtained by MALDI-TOF mass spectrometry (MS).
Project description:Gut microbial profiling of uterine fibroids (UFs) patients comparing control subjects. The gut microbiota was examined by 16S rRNA quantitative arrays and bioinformatics analysis. The goal was to reveal alterations in the gut microbiome of uterine fibroids patients.
Project description:We used a DNA microarray chip covering 369 resistance types to investigate the relation of antibiotic resistance gene diversity with humansM-bM-^@M-^Y age. Metagenomic DNA from fecal samples of 123 healthy volunteers of four different age groups, i.e. pre-school Children (CH), School Children (SC), High School Students (HSS) and Adults (AD) were used for hybridization. The results showed that 80 different gene types were recovered from the 123 individuals gut microbiota, among which 25 were present in CH, 37 in SC, 58 in HSS and 72 in AD. Further analysis indicated that antibiotic resistance genes in groups of CH, SC and AD can be independently clustered, and those ones in group HSS are more divergent. The detailed analysis of antibiotic resistance genes in human gut is further described in the paper DNA microarray analysis reveals the antibiotic resistance gene diversity in human gut microbiota is age-related submitted to Sentific Reports The antibiotic resistance gene microarray is custom-designed (Roche NimbleGen), based on a single chip containing 3 internal replicated probe sets of 12 probes per resistance gene, covering the whole 315K 12-plex platform spots.