Project description:We used LPS-stimulated chicken HD11 macrophage-like cell as a model to identify the key transcription factors involved in transcriptome regulation responsible for SeMC treatment. RNA-seq identified 3,263 transcripts significantly differentially expressed between the SeMC treated group and the control group, and 1,344 transcripts significantly differentially expressed between LPS+SeMC and LPS treated group (FDR < 0.05, FDR > 1.5). Bioinformatic analysis revealed that six transcription factors, NFKB2, RFX2, E2F5, ETV5, BACH1, and E2F7 were candidate genes for transcriptome regulation in SeMC treated HD11 cells.
Project description:RNA samples from chicken (Gallus gallus) embryonic fibroblasts (sample ID: ES90) as well as from the HD11 chicken macrophage cell line (sample ID: ES91) were sequenced at the National Institutes of Health Intramural Sequencing Center (NISC) using the Illumina GAIIx technology running the standard CASAVA/ELAND pipeline.
Project description:HD11 cells were stimulated with 1 ug/ml endotoxin from ST-798 for 1, 2, 4 and 8 hours Cells were harvested at 1, 2, 4 and 8 hrs post stimulation and RNA was isolated from these cells and microarray was conducted for these RNA samples using affymetrix genechips
2010-10-19 | GSE23881 | GEO
Project description:Lipopolysaccharide effect in HD11 cells
| PRJNA1153035 | ENA
Project description:Postbiotic - LPS interaction in HD11 cells
Project description:We infected HD11 macrophages with Salmonella Typhimurium, followed by chemical proteomic analysis of deubiquitinases by using ubiquitin-specific active-site probe.
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
Project description:Primary objectives: Characterization of the macrophage population subset that is modulated by enteric neurons
Primary endpoints: Characterization of the macrophage population subset that is modulated by enteric neurons via RNA sequencing
