Similar Datasets
Project description:SLAMF5 blocking of sorted Bregs CD19+IL10+ (GFP+)
| PRJNA674605 | ENA
Project description:10X-based scRNA-seq data human fetal kidneys at 5 different ages
2019-02-21 | GSE114530 | GEO
Project description:That commensal bacteria can influence intestinal inflammation has been observed using other models of chronic colitis. Loss of IL-10, a major immunosuppressive cytokine, induces spontaneous colitis in mice. The incidence of spontaneous polyp formation in IL-10-deficient mice was also completely eliminated in the absence of STING We used microarrays to evaluate the inflammatory cytokine expression in the colon from IL10 KO mice and IL10/STING KO mice.
2018-02-01 | GSE107810 | GEO
Project description:Purpose: Our results show that in the absence of SLAMF5 ( by KO or blocking ab), there is an accumulation of Bregs (CD19+IL10+) and a specific increase of their survival. Here, using RNAseq, we wished to identify genes that take place in the regulation of Breg by SLAMF5 blocking. Method: Total RNA was extracted from 3x10e5 sorted CD19+GFP+cells from 2-3 Vert-x mice (induced with EAE) incubated with SLAMF5 blocking Ab or control IgG using the Direct-zol RNA kit (ZymoResearch) according to the manufacturer’s instructions. RNA-seq was performed using the MARS-seq protocol. Showing here 2 biological replicates of each group.
2021-01-25 | GSE160828 | GEO
Project description:Computational identification of gene expression pathways and key regulatory factors in the Pkd1 KO kidneys treated by Salsalate
2019-10-03 | GSE126454 | GEO
Project description:Splenic B cells isolated from SCAP+/+ CD19-Cre (WT) and SCAPfl/fl CD19-Cre (KO) mice were stimulated with LPS or anti-CD40 for 24 and 48 hours. Cells were then analyzed by metabolomics. Metabolomics reveals global metabolic changes in SCAP deficient B cells.
2022-10-19 | ST002322 | MetabolomicsWorkbench
Project description:Abstract: Interleukin-10-deficient (Il10-/-) mice serve as a model for inflammatory bowel disease (IBD). The severity of colitis strongly depends on the inbred strain carrying the disrupted Il10 gene: C3H/HeJBir (C3) confers disease susceptibility, whereas C57BL/6J (B6) confers resistance. Genome-wide scans with microsatellite markers on segregrating backcross and F2 populations resulted in the detection of ten colitogenic quantitative trait loci (QTL). The aim of this study was to reduce the large number of candidate genes within the QTL intervals by identifying those genes which are located within the candidate gene intervals and which are differentially expressed in the colon of IBD-susceptible and -resistant strains. Using this combination of QTL mapping and microarray analysis, we identified 16 genes which were differentially expressed between B6- and C3-Il10-/- mice and were located within the candidate gene intervals. Three of these genes (Pla2g2a, Gbp1, Cd14) showed prominent differences in expression levels between B6- and C3-Il10-/- as well as between B6 and C3 wildtype mice and were considered to be major candidate genes. Pla2g2a and Gbp1 are known to be polymorphic between C3 and B6 mice. Expression data for Cd14 were confirmed by real-time RT PCR using specified pathogen free and germfree Il10-/- mice. In conclusion, the large number of candidate genes was reduced to three major candidates by using a combination of QTL mapping and microarray analysis. All three genes play an important role in inflammatory processes and immune response. Material & Methods: Two independent microarray experiments were performed using SPF mice: 19 for the first experiment (4 C3 WT [GSM39296], 5 C3-Il10-/- [GSM39297], 5 B6 WT [GSM39290], 5 B6-Il10-/- [GSM39291]) and 18 for the second (4 C3 WT [GSM39295], 4 C3-Il10-/- [GSM39294], 5 B6 WT [GSM39288], 5 B6-Il10-/- [GSM39289]). The mice were euthanized by cervical dislocation. Following a ventral midline incision, the colon (including the rectum, but not the anus) was removed and flushed with PBS. Each colon was opened longitudinally with a pair of scissors, further dissected and homogenized using a micropistill in 1.5 ml peqGOLD Trifast FL. RNA was isolated according to the manufacturer´s protocol, and quality was checked using RNA Nano LabChip® technology (Agilent, Böblingen, Germany). For each of the two array experiments, equal amounts (7 micro gram) of RNA were pooled from the four or five animals of each mouse strain, resulting in a total of eight samples. For biotin-labeled target synthesis starting from 3-5 µg of total RNA, reactions were performed using standard protocols supplied by the manufacturer (Affymetrix; Santa Clara, CA). Briefly, 3-5 µg total RNA were converted to dsDNA using 100 pmol of a T7T23V primer (Eurogentec; Seraing, Belgium) containing a T7 promoter. The cDNA was then used directly in an in-vitro transcription reaction in the presence of biotinylated nucleotides. The concentration of biotin-labeled cRNA was determined by UV absorbance. In all cases, 12.5 µg of each biotinylated cRNA preparation were fragmented and placed in a hybridization cocktail containing four biotinylated hybridization controls (BioB, BioC, BioD, and Cre) as recommended by the manufacturer. Samples were hybridized to an identical lot of Affymetrix MG U74Av2 for 16 hours. Data selection and transformation procedures. For normalization, all array experiments were scaled to a target intensity of 150, otherwise using the default values of the Microarray suite 5.0 (MAS 5.0). Filtering of the results was done as follows: Genes were considered as strong regulated if their fold change was greater than or equal 2 or less than or equal -2, the statistical parameter for a significant change was less than 0.01 (change p-Value for changes called Increased) or greater than 0.99 (change p-Value for changes called Decreased). Additionally, the signal difference of a certain gene was greater than 200. Genes were considered as weak regulated if their fold change was greater than or equal 1.5 or less than or equal -1.5, the statistical parameter for a significant change was less than 0.001 or greater than 0.999 and the signal difference of a certain gene was greater than 40. Keywords = Inflammatory Bowel Disease Keywords = IBD Keywords = interleukin-10 Keywords = microarray Keywords = mice Keywords = quantitative trait locus Keywords = QTL Keywords = susceptibility Keywords: parallel sample
2005-12-31 | GSE2172 | GEO
Project description:Transcriptional profiling of mouse embryonic kidneys lacking Mdm4 function in the ureteric bud lineage
2020-06-01 | GSE137994 | GEO
Project description:Computational identification of gene expression pathways or key regulatory factors in the Pkd1 KO kidneys treated by salsalate, tolvaptan, and in combination
2023-01-16 | GSE198340 | GEO
Project description:We performed single-cell transcriptomics analyses (10x Chromium 3' v3.1) using dissociated total kidney cells to identify the difference in gene expression patterns and signaling pathways between male and female mouse kidneys after selective induction of ferroptotic stress in renal tubular epithelial cells.
2022-10-27 | GSE197528 | GEO