Arthritic KRN T cells and wild type T cells from germ free and specific pathogen free mice
Ontology highlight
ABSTRACT: A general defect of GF K/BxN T cell proliferation response toward antigen motivated us to look for the impairment in GF K/BxN T cells that might leads to the low Ab production and reduced disease phenotype seen in GF K/BxN mice. To find the difference between GF and SPF K/BxN T cells in a broad and non-biased fashion, we performed gene-expression profiling of these cells using microarrays.
Project description:Liver clock regulates transcription of hepatic genes in response to feeding. To explore the possibility that the microbiome influences this process, we measured the liver transcriptome in normal mice (Specific Pathogen Free or SPF mice) and compared it to the transcriptome in mice lacking microbiota (Germ Free or GF mice) at different time points over 24h. We used microarrays to detail the global programme of gene expression in liver of GF and SPF 10-12 weeks-old male C57Bl/6 male mice. There are 40 liver samples, each from an individual mouse. The samples are from germ free mice (GF) and specific pathogen free mice (SPF). Mice of both types were sacrificed at four time points: Zeitgeber Time 0, 6, 12, and 18. There are five replicates per condition.
Project description:To begin to explore mechanisms by which microbiota signals regulate HSC lineage bias, gene expression profiling was performed on sorted LSK-SLAM cells from aged SPF and aged GF mice.
Project description:Liver clock regulates transcription of hepatic genes in response to feeding. To explore the possibility that the microbiome influences this process, we measured the liver transcriptome in normal mice (Specific Pathogen Free or SPF mice) and compared it to the transcriptome in mice lacking microbiota (Germ Free or GF mice) at different time points over 24h. We used microarrays to detail the global programme of gene expression in liver of GF and SPF 10-12 weeks-old male C57Bl/6 male mice.
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:The goal of this study is to understand the effect of microbiota on the cell frequencies and gene expression in adipose tissue. To achieve that we performed single cell sequencing of epididymal fat pad cells from germ-free (GF) and specific pathogen free (SPF) mice
Project description:ATACseq was performed on microglia from male and female, SPF or GF mice to elucidate the chromatin accessibility implicated by microbiota and gender. Differential accessible regions (DARs) between the various groups gave some ideas on what different pathways or functions might be affected due to the different factors.
Project description:RNAseq was performed on microglia from male and female, SPF or GF mice to elucidate the genetic differences implicated by microbiota and gender. DEGs between the various groups gave some ideas on what different pathways or functions might be affected due to the different factors.
Project description:q exactive hf, 28 min method, comparison between SPF and GF mice methanol extraction, comparison between ctrl and fiber diet mice methanol extraction, Human fecal matter transfer mice and human serum methanol extraction
Project description:Plasma was harvested from two cohorts of facility-matched germ free (GF) and specific-pathogen free (SPF) mice at the National Gnotobiotic Rodent Resource Center (NGRRC; North Carolina, USA). Plasma was then fractionated by size-exclusion chromatography using three tandem Superdex200 increase columns (Cytiva). Fractions corresponding with HDL were then pooled and concentrated prior to RNA isolation. Small RNA libraries were generated from total RNA using NextFlex V3 Small RNA Seq-kit (Perkin Elmer) according to manufacturer’s instructions. Equimolar amounts of each library were then pooled and sequenced on the NextSeq500 platform (Illumina). Individual libraries were then demultiplexed and analyzed with the TIGER analytical pipeline.
Project description:Environmental factors that enhance regeneration are largely unknown. We hypothesized that skin bacteria modulate regeneration. Here, we assessed low, medium, and high levels of bacterial burden in Wound Induced Hair follicle Neogenesis (WIHN), a rare adult organogenesis model. WIHN levels and stem cell markers indeed correlated with bacterial counts, being lowest in germ free (GF), intermediate in conventional specific pathogen free (SPF), and highest even in mice infected with pathogenic Staphylococcus aureus. We identified IL-1β and keratinocyte-dependent IL-1R-MyD88 signaling as necessary and sufficient for bacteria to promote regeneration. Finally, in a small clinical trial, we found that a topical broad-spectrum antibiotic slowed skin wound healing. These results counter conventional notions that infection inhibits regeneration and the need for full sterility of small wounds.