Project description:The effects of maternal microbiota on the fetal development was investigated by comparing tissues of fetuses from germ-free (GF) and normal (SPF) murine dams using RNA-seq and non-targeted metabolomics (for metabolomics data, see: https://bmcmicrobiol.biomedcentral.com/articles/10.1186/s12866-022-02457-6). For RNA-seq, two E18.5 fetuses were collected from 6 GF dams and 6 SPF dams, and transcriptomes analyzed by QuantSeq in whole intestine, brain and placenta.
Project description:Transcriptomic, metabolomic and metagenomic approaches were performed to investigate the multifaceted health effects of municipal effluents (ME) on mice. After chronic exposure for 90 days, alterations in liver gene expression, serum and urine metabolic profiles. A total of 4446 differentially expressed genes (DEGs) were identified, which related to 107 KEGG pathways. Metabolomics identified 8 and 10 differential altered metabolites (DAMs) in serum and urine, respectively. Moreover, the ME exposure also induced some perturbations of the gut microbiota, which related to co-metabolism and immune responses. Nine mice in each group were selected and the livers of every three mice were homogenized together to obtain a total RNA sample. Three RNA samples in the treated or control group were hybridized separately onto three arrays to compare the genomic expression between the two groups.
Project description:Transcriptomic, metabolomic and metagenomic approaches were performed to investigate the multifaceted health effects of municipal effluents (ME) on mice. After chronic exposure for 90 days, alterations in liver gene expression, serum and urine metabolic profiles. A total of 4446 differentially expressed genes (DEGs) were identified, which related to 107 KEGG pathways. Metabolomics identified 8 and 10 differential altered metabolites (DAMs) in serum and urine, respectively. Moreover, the ME exposure also induced some perturbations of the gut microbiota, which related to co-metabolism and immune responses.
Project description:Metagenomic sequencing of mice with different treatments: Mice were randomly divided into donor control group (Donor + MRS), constipation model group (STC + MRS), or a Lactobacillus acidophilus treated group (STC + La): A humanized mouse model was established by intragastric administration of fecal bacterial liquid from healthy donors or STC patients on alternate days, followed by continuous administration of Lactobacillus acidophilus in treatment group. Finally, the feces of each group of mice were collected, and the intestinal microbial communities of the mice were analyzed through metagenomic sequencing. 16S rRNA sequencing of mice before and after the use antibiotics: Before and after treating the mice with antibiotics, the mice's feces were collected for 16s rRNA sequencing respectively.
Project description:Purpose: This study aims to compare and analyze the differences in bacterial community composition in fecal samples from mice treated with Control(DW), Vancomycin (VAN), Ampicillin (AMP), Neomycin (NEO), Metronidazole (MET), and a combination of all antibiotics (ALL, VANM) using 16S rRNA sequencing. Methods: Each antibiotics treated mice's fecal samples were collected and stored -80'c until analyzation. DNA was extracted using the NucleoSpin DNA Stool Kit (MACHEREY-NAGEL) following the manufacturer’s protocol. Metagenomic sequencing was performed on an Illumina MiSeq platform (Illumina), targeting the V3 and V4 regions of the 16S rRNA gene according to the manufacturer's instructions. PCR products were purified using AMPure XP beads, and sequencing adapters were added using the Nextera XT Index Kit (Illumina). The library was further purified with AMPure XP beads and quantified using automated electrophoresis with the TapeStation System (Agilent). Sequencing was performed using the MiSeq v3 reagent kit (Illumina), following the manufacturer’s protocol. Results: QIIME2 (v2023.02) was used to process and analyze 16S rRNA gene amplicon sequencing data, from sequence preprocessing to taxonomic classification. Paired-end sequences were merged and quality-filtered using Deblur. The resulting amplicon sequence variants (ASVs) were used for downstream analyses. Conclusions: Our study presents a comparative analysis of bacterial community composition in fecal samples from antibiotic-treated mice. We observed that microbiota composition varied distinctly depending on the type of antibiotic administered.
Project description:Metabolomics dataset of serum from T3-treated dams. Related to following publication by Oelkrug et al: "Maternal thyroid hormone receptor beta activation sparks brown fat thermogenesis in the offspring"