Project description:To investigate the effect of soy peptides on gut microial composition during juvenile social isolation, group-house (GH) and social isolation (SI) mice were fed a diet consisting of soy peptides or a control diet for 4 weeks post-weaning. We then performed microbial community analysis using data obtained from bacterial 16S rRNA gene sequencing in the fecal samples of 4 mice groups (control diet-fed GH, soy peptide-diet fed GH, control diet-fed SI, and soy peptide-diet fed SI mice).
Project description:Soy-based diets have triggered the interest of the research community due to their beneficial effects on a wide variety of pathologies like breast and prostate cancer, diabetes, and atherosclerosis. However, the molecular details underlying these effects are far from being completely understood and several recent attempts have been made to elucidate the soy-induced liver transcriptome changes in different animal models. Here we used Next Generation Sequencing to identify a set of two microRNAs specifically modulated by short-term soy-enriched diet in young male mice and estimate their impact on the liver transcriptome assessed by microarray. Clustering and topological community detection (CTCD) network analysis of STRING generated interactions of transcriptome data led to the identification of five topological communities of genes characteristically altered and putatively targeted by microRNAs upon soy diet intervention.
Project description:Monitoring microbial communities can aid in understanding the state of these habitats. Environmental DNA (eDNA) techniques provide efficient and comprehensive monitoring by capturing broader diversity. Besides structural profiling, eDNA methods allow the study of functional profiles, encompassing the genes within the microbial community. In this study, three methodologies were compared for functional profiling of microbial communities in estuarine and coastal sites in the Bay of Biscay. The methodologies included inference from 16S metabarcoding data using Tax4Fun, GeoChip microarrays, and shotgun metagenomics.
Project description:Soy-based diets have triggered the interest of the research community due to their beneficial effects on a wide variety of pathologies like breast and prostate cancer, diabetes, and atherosclerosis. However, the molecular details underlying these effects are far from being completely understood and several recent attempts have been made to elucidate the soy-induced liver transcriptome changes in different animal models. Here we used Next Generation Sequencing to identify a set of two microRNAs specifically modulated by short-term soy-enriched diet in young male mice and estimate their impact on the liver transcriptome assessed by microarray. Clustering and topological community detection (CTCD) network analysis of STRING generated interactions of transcriptome data led to the identification of five topological communities of genes characteristically altered and putatively targeted by microRNAs upon soy diet intervention.
Project description:Characterization of bacterial and fungal community dynamics by high-throughput sequencing (HTS) metabarcoding during flax dew-retting
Project description:We aimed to investigate the microbial community composition in patients with intracerebral hemorrhage (ICH) and its effect on prognosis. The relationship between changes in bacterial flora and the prognosis of spontaneous cerebral hemorrhage was studied in two cohort studies. Fecal samples from healthy volunteers and patients with intracerebral hemorrhage were subjected to 16S rRNA sequencing at three time points: T1 (within 24 hours of admission), T2 (3 days post-surgery), and T3 (7 days post-surgery) using Illumina high-throughput sequencing technology.
Project description:Transcription factors and their specific interactions with targets are crucial in specifying gene expression programs. To gain insights into the transcriptional regulatory networks in embryonic stem cells, we used chromatin immunoprecipitation coupled to ultra-high-throughput DNA sequencing (ChIP-seq) to map the locations of OCT4, NANOG and CTCF. ChIP-enriched DNA from pooled ChIP samples were analyzed by Solexa sequencing.
Project description:Total bacterial DNA was isolated from water and sediment samples from a local watershed and 16S rRNA sequences were analyzed using the Illumina MiSeq v3 platform in order to generate snapshots of bacterial community profiles.
