Gene expression of 4, 5, and 6 days differentiated Flk1+ WT ES cells, and of 6 days differentiated Flk1+ Runx1-/- and Tal-1-/- ES cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Joachim GrM-CM-<n
PROVIDER: E-GEOD-46970 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:To understand differences in the pathogenesis of synovial hyperplasia during TNF-induced arthritis, we compared the global gene expression of hTNFtg and hTNFtg;Rsk2-/y primary synovial fibroblasts. Murine fibroblast-like synoviocytes (FLS) were isolated from the hind paws of hTNFtg and hTNFtg;Rsk2-/y (background: C57BL/6) 6-9 week-old mice via collagenase digestion. The cells of two mice were pooled and cultivated for at least 3 passages before usage. For characterization, the cells were tested for the surface expression of CD90.2 and VCAM1 by flow cytometric analysis, whereas CD11b as a monocytic marker had to be absent. Total RNA was extracted using the RNeasy Mini kit (Qiagen). The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer (Agilent, Waldbronn, Germany) and a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). Double-stranded complementary RNA was synthesized from 1 M-BM-5g total RNA using Message AmpII Biotin (Ambion, USA). Fifteen micrograms of fragmented cRNA of each sample were hybridized to six MG_U430_2 GeneChips (Affymetrix). Hybridization was performed in a Hybridization Oven 640, and chips were washed and stained in the Fluidics Station 450 (both Affymetrix). Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software, version 1.4, both Affymetrix. All relevant GCOS data of quality checked microarrays were analyzed with High Performance Chip Data Analysis (HPCDA, unpublished), using the BioRetis database (www.bioretis-analysis.de), as described and validated previously.
2014-12-04 | E-GEOD-52992 | biostudies-arrayexpress
Project description:This study demonstrates quantitative and qualitative differences between type I IFN signatures in autoimmunity and viral infection using purified CD4pos T cells and CD16pos- and CD16neg-monocyte subsets. We were able to discriminate between cell-specific viral response signatures and the pathogenically amplified IFN signatures observed in autoimmunity. The differences were of both a qualitative and quantitative nature, as the signatures in the patients with SLE were characterized by much more complexly compiled gene patterns with increased absolute gene expression levels. Collection of cells from Systemic Lupus Erythematosus (SLE) patients: For CD4pos T cells, six patients with SLE (average age: 29.0 +/- 7.6) and four normal healthy donors (ND; 24.8 +/- 0.5) were recruited. For CD16neg monocytes, four patients with SLE (26.5 +/- 1.7) and four NDs (24.8 +/- 0.5) were recruited. For CD16pos monocytes, four patients with SLE (26.5 +/- 1.7) and three NDs (24.7 +/- 0.6) were recruited. All patients and NDs were female. The same NDs were examined before and after immunisation with yellow fever vaccine (YFV). Collection of cells from yellow-fever vaccinated individuals: ND were immunised with a vaccine against the wild-type YF virus, which is a single-stranded RNA virus without adjuvants. This vaccine consists of a live but attenuated strain of the yellow fever virus (YFV-17D). Based on its vaccination-associated clinical and serological manifestations, this immunisation can be regarded as a real viral infection. A total of 50 ml peripheral blood was taken 7 days after immunisation, when sufficient numbers of CD19pos/CD27high plasmablasts were detected by flow cytometry. Cell sorting: A total of 50 ml peripheral blood was collected in Vacutainer heparin tubes and erythrocytes were lysed in EL buffer. Subsequently, granulocytes were depleted using CD15-conjugated microbeads (MACS). The CD15-depleted fraction was stained with a CD14-fluorescein isothiocyanate (FITC) antibody, a CD16-APC-Cy7 antibody, a CD3-Vioblue antibody and a CD4-FITC antibody. Using a FACSAria cell sorter, CD4pos T cells, CD16neg monocytes and CD16pos monocytes were isolated with purities and viabilities of >97%. After sorting, the cells were immediately lysed with RLT buffer and frozen at -70 M-BM-0C. Total RNA was isolated using an RNeasy mini kit, and quality control was ensured by Bioanalyser measurements.Total RNA was extracted using the RNeasy Mini kit. The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer and a NanoDrop ND-1000 spectrophotometer. Biotinylated complementary RNA (cRNA) was synthesized from 100 ng total RNA, using reagents as recommended in the technical manual from Affymetrix. Fifteen micrograms of fragmented cRNA of each sample were hybridized to HG-U133 plus 2.0 arrays. Hybridization was performed according to procedure 2 as described in the technical manual. Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software. All relevant GCOS data of quality checked microarrays were analyzed with High Performance Chip Data Analysis (HPCDA, unpublished), using the BioRetis database (www.bioretis-analysis.de), as described and validated previously.
2014-01-06 | E-GEOD-51997 | biostudies-arrayexpress
Project description:PreB cells were analyzed for differences in gene expression before and after the overexpression of miR-221. In order to dissect possible targets for the miR-221, gene expression profiles of preB cells un-induced or induced for the miR-221 expression after 8, 16 and 24 hours were compared. All induction time-points, e.g. after 8, 16 and 24 hours were compared to un-induced preB cells and to each other group. Gene expression profiles of un-induced preB cells, preB cells induced for miR-221 expression after 8, 16, and 24 hours were analyzed using Affymetrix MG 430 2.0 whole genome arrays. Each time-point was performed in triplicates for un-induced preB cells and preB cells induced for miR-221 expression after 8, 16, and 24 hours (12 arrays in total). To obtain genes significantly downregulated upon induction of miR-221, the expression profiles of un-induced preB cells were compared to preB cells activated for 8, 16, or 24 h and were also compared to each other. After total RNA extraction, reverse transcription, cDNA extraction, the biotinylated cRNA was transcribed, fragmented, and 15 M-BM-5g cRNA hybridized in triplicates for each of the four groups to the 12 GeneChip arrays: Group1, un-induced preB cells, Group2, preB cells induced for miR-221 expression after 8h, Group3, preB cells induced for miR-221 expression after 16h, Group4, preB cells induced for miR-221 expression after 24h.
2013-06-05 | E-GEOD-47643 | biostudies-arrayexpress
Project description:Recent data from our group, demonstrate that infusion of myelin oligodendrocyte glycoprotein (MOG35-55) peptide, leads to induction of MOG35-55-specific Tregs and subsequent suppression of Experimental Autoimmune Encephalomyelitis (EAE), the mouse model of multiple sclerosis. Amelioration of EAE was accompanied by reduced MOG-specific Th1 and Th17 responses in the draining lymph nodes (dLNs). Phenotypic analysis of the dLNs of MOG-infused mice revealed a significant Treg-mediated reduction in the recruitment of 7AAD-CD3-CD19-CD11c+CD11bhighGr-1+ iDCs compared to non-infused control immunized mice. Focusing on the delineation of novel molecules/genes that are involved in the MOG-specific Treg-mediated suppression of autoimmune responses, we have isolated highly purified iDCs from MOG infused and non-infused control immunized mice. Gene expression profiles of iDCs isolated from tolerized or immunized mice. Affymetrix MG 430 2.0 whole genome arrays were performed in triplicates for tolerized iDCs and immunized iDCs (6 arrays in total, 5 of them were analyzed). To obtain genes significantly regulated in iDCs upon tolerization with MOG35-55, the expression profiles of iDCs isolated from tolerized or immunized mice were compared to each other. After total RNA extraction, reverse transcription, cDNA extraction, the biotinylated cRNA was transcribed, fragmented, and 15 µg cRNA hybridized to the 6 GeneChip arrays: Group1 iDCs isolated from tolerized mice, Group2 iDCs isolated from immunized mice.
2015-04-20 | E-GEOD-47210 | biostudies-arrayexpress
Project description:The maintenance of the TFH phenotype depends on continuous signals via ICOS. For a global assessment of differences in gene expression after interruption of the ICOS pathway a genome wide transcriptome analysis was performed. We used the OT-II adoptive transfer system to isolate antigen-specific TFH cells (day 6 after immunization) after short-term (6 hours) blockade of the ICOS pathway using a monoclonal antibody against ICOS-L. Gene expression profiles of TFH cells with or without ICOS-L blockade. Affymetrix MG 430 2.0 whole genome arrays were performed in duplicates for the control and blockade group (4 arrays in total). To obtain genes significantly regulated upon ICOS L blockade, the expression profiles of TFH cells treated with an isotype control or anti-ICOS-L antibody were compared to each other. After total RNA extraction, reverse transcription, cDNA extraction, the biotinylated cRNA was transcribed, fragmented, and 15 M-BM-5g cRNA hybridized in duplicates for each of the two groups to the 4 GeneChip arrays: Group1 TFH cells control, Group2 TFH cells ICOS-L blockade.
2015-01-19 | E-GEOD-49314 | biostudies-arrayexpress
Project description:Gene expression profiling of cells isolated ex vivo is a unique tool to assess gene expression in vivo. Exemplified for CD4+CD45RO+ effector/memory T helper (T E/M) lymphocytes of human peripheral blood, we have analyzed different isolation procedures and storage conditions for the introduction of bias. Cells from clinical samples can be sorted to high purity by a flow cytometric sorter and assessed for their gene expression pattern but storage/shipping conditions and often necessary pre-enrichment due to low initial population frequencies bears the danger of introducing artificial changes. To test for changes introduced by different procedures, cells were enriched either by magnetic cell sorting (MACS) with Whole-Blood CD4 beads, density gradient centrifugation, alone or in combination with CD3 MACS, or by lysis of erythrocytes followed by MACS depletion of CD15+ cells prior to fluorescence-activated cell sorting (FACS) as CD3+CD4+CD45RO+ cells. A total of 7 different protocols were compared among each other and to T cells stimulated for 3 hours after isolation with Phorbol-12-myristate-13-acetate and Ionomycin (PMA/Iono). Preparation-induced de novo transcription was blocked in one of the protocols by addition of 2 M-BM-5g/ml Actinomycin D (ActD). To test for changes introduced by delays in sample preparation blood samples were drawn and either processed directly or kept at 4 M-BM-0C or room temperature (RT) for 2 or 6 hours before T E/M cells were isolated. Gene expression was compared among the various cell preparations and to T E/M cells isolated from 1 day old buffy coat fractions stored at RT. Sorted cells were lysed in TRIzol (Invitrogen) and frozen at -80M-BM-0C until used for RNA extraction. Total RNA was extracted using the miRNeasy kit (Qiagen). The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer (Agilent, Waldbronn, Germany) and a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). Double-stranded complementary RNA was synthesized from 1 M-BM-5g total RNA using Message AmpII Biotin (Ambion, USA). Fifteen micrograms of fragmented cRNA of each sample were hybridized to 26 HG-U133A plus 2.0 GeneChips (Affymetrix). Hybridization was performed in a Hybridization Oven 640, and chips were washed and stained in the Fluidics Station 400 (both Affymetrix). Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software, version 1.4, both Affymetrix. All relevant GCOS data of quality checked microarrays were analyzed with High Performance Chip Data Analysis (HPCDA, unpublished), using the BioRetis database (www.bioretis-analysis.de), as described and validated previously.
2014-03-24 | E-GEOD-54247 | biostudies-arrayexpress
Project description:To determine characterize human B cells that express IL-10 on a molecular level, we compared the global gene expression of primary CD19pos B cells secreting IL-10 or not, upon activation with anti-CD40, IL-4 and CpG for 2 days. Human B cells from healthy donors were sorted according to CD19 expression by magnetic cell separation. The cells were stimulated at 2.5E06 cells/ml by activating anti-CD40 mAb (1 M-BM-5g/ml, clone 82111, RnD Systems), recombinant human IL-4 (10 ng/ml, Immunotools) and CpG2006 (3 M-BM-5g/ml) for 2 days following restimulation for 3 h with phorbol myristate acetate (PMA, 10 ng/ml) and ionomycin (1 M-BM-5g/ml). Staining of viable IL-10 secreting human CD19pos B cells was performed by the IL-10 capture assay according the manufacturers instructions (Miltenyi Biotec, n=2). Finally, the cells were sorted into IL-10posCD69pos and IL-10negCD69pos cells by flow cytometric cell sorting on a BD Aria II sorter (Becton Dickinson). Dead cells were excluded using propidium iodide. Total RNA was extracted using the RNeasy Mini kit (Qiagen). The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer (Agilent, Waldbronn, Germany) and a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). Double-stranded complementary RNA was synthesized from 1 M-BM-5g total RNA using Message AmpII Biotin (Ambion, USA). Fifteen micrograms of fragmented cRNA of each sample were hybridized to four HG-U133A plus 2.0 GeneChips (Affymetrix). Hybridization was performed in a Hybridization Oven 640, and chips were washed and stained in the Fluidics Station 400 (both Affymetrix). Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software, version 1.4, both Affymetrix. All relevant GCOS data of quality checked microarrays were analyzed with High Performance Chip Data Analysis (HPCDA, unpublished), using the BioRetis database (www.bioretis-analysis.de), as described and validated previously.
2014-03-24 | E-GEOD-49853 | biostudies-arrayexpress
Project description:To compare human memory CD4+ T cell subsets in peripheral blood (PB) and bone marrow (BM) of healthy individuals at transcriptional level, we analyzed the global gene expression of ex vivo PB CD69- as well as BM CD69- and CD69+ memory CD4+ T cells from 4 paired PB and BM samples. The gene expression of these subsets was additionally compared to the transcriptional profile of 8 PB samples taken ex vivo or stimulated with phorbol myristate acetate (PMA) and Ionomycin for 3 hours. Three ex vivo memory CD4+ T cell subsets (CD4+CD45RO+CD69+ and CD4+CD45RO+CD69- cells from bone marrow; CD4+CD45RO+CD69- cells from peripheral blood) were isolated from 4 paired bone marrow and blood samples (two males and two females) or from a different cohort of 8 blood samples (3 males and five females). The purity of sorted cells was higher than 95% as assessed by FACS. Subsequently, a fraction of purified cells from the 8 blood samples were stimulated with phorbol-myristic-acid/ionomycin (PMA/iono) for 3 h and used as high controls. Total RNA of each cell subset was extracted using a NucleoSpin RNA XS Kit (Macherey-Nagel) or RNeasy Mini kit (Qiagen). The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer (Agilent, Waldbronn, Germany) and a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). Double-stranded complementary RNA was synthesized from 1 M-BM-5g total RNA using Message AmpII Biotin (Ambion, USA). Fifteen micrograms of fragmented cRNA of each sample were hybridized to 28 HG-U133A plus 2.0 GeneChips (Affymetrix). Hybridization was performed in a Hybridization Oven 640, and chips were washed and stained in the Fluidics Station 400 (both Affymetrix). Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software, version 1.4, both Affymetrix. All relevant GCOS data of quality checked microarrays were analyzed with High Performance Chip Data Analysis (HPCDA, unpublished), using the BioRetis database (www.bioretis-analysis.de), as described and validated previously.
2014-06-17 | E-GEOD-50677 | biostudies-arrayexpress
Project description:To understand differences between resting and activated memory CD8+ T cells, we compared the global gene expression of ex vivo isolated naive and spleen and BM memory cells to in vitro activated spleen and BM memory cells. Single cell suspension from the spleen and bones of aged C57BL/6 mice were prepared. Naive (CD44-CD127+) and memory (CD44+CD127+) CD8+CD3+ T cells were then cytometrically sorted. Sorted cells were either immediately processed for RNA preparation or were activated with anti-CD3 and anti-CD28 for 42-44 hours. Total RNA was extracted using the NucleoSpin RNA (Macherey-Nagel). The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer (Agilent, Waldbronn, Germany) and a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). Double-stranded complementary RNA was synthesized from 1 M-BM-5g total RNA using Message AmpII Biotin (Ambion, USA). Fifteen micrograms of fragmented cRNA of each sample were hybridized to MG_U430_2 GeneChips (Affymetrix) in triplicates. Hybridization was performed in a Hybridization Oven 640, and chips were washed and stained in the Fluidics Station 400 (both Affymetrix). Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software, version 1.4, both Affymetrix. All relevant GCOS data of quality checked microarrays were analyzed with High Performance Chip Data Analysis (HPCDA, unpublished), using the BioRetis database (www.bioretis-analysis.de), as described and validated previously.
2015-02-05 | E-GEOD-62691 | biostudies-arrayexpress
Project description:Murine B cells can be activated via the surface receptors TLR4 and CD40. For a global assessment of differences in gene expression between these two different modes of B cell activation a genome wide transcriptome analysis was performed. In order to dissect different gene expression profiles of B cells, activation was induced by LPS or LPS + anti-CD40 for 24h and 72h. Both activation states were compared to each other but also to naM-CM-/ve B cells. Gene expression profiles of naM-CM-/ve B cells, B cells activated with LPS and B cells activated with LPS + anti-CD40. Affymetrix MG 430 2.0 whole genome arrays were performed in quadruplicates for naM-CM-/ve B cells, B cells activated via TLR4 for 24 h and 72 h, and B cells activated via TLR4 + CD40 for 24 h and 72 h (20 arrays in total). To obtain genes significantly regulated upon stimulation with LPS, the expression profiles of naM-CM-/ve B cells, B cells activated with LPS for 24 h, and B cells activated with LPS for 72 h were compared to each other. After total RNA extraction, reverse transcription, cDNA extraction, the biotinylated cRNA was transcribed, fragmented, and 15 M-BM-5g cRNA hybridized in quadruplicates for each of the five groups to the 20 GeneChip arrays: Group1 naM-CM-/ve B cells, Group2 LPS activated B cells 24h, Group3 LPS + anti-CD40 activated B cells 24h, Group4 LPS activated B cells 72h, and Group5 LPS + anti-CD40 activated B cells 72h. Access to PDF: http://dx.doi.org/10.1038/nature12979 All chips were imported into BioRetis (http://www.bioretis-analysis.de) and are open to the community now. If you want to obtain one or more lists of HPCDA significant genes you should click on a link of single chips (e.g. GSM879034) to get a description how to manage this.
2014-02-24 | E-GEOD-35998 | biostudies-arrayexpress