476b50f4-b297-43f4-aeca-71d156f38e81 - samples
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ABSTRACT:
PROVIDER: EGAD00001009677 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:H69 cells were cultured in H69 medium with 1 ng/ml lipopolysaccharide(LPS, for smaples 04, 05 and 06) or without LPS(for samples 01, 02 and 03) for 8 hours and then collected for array analysis. <br>
2010-02-11 | E-MEXP-2052 | biostudies-arrayexpress
Project description:H69 cells were cultured in H69 medium with Cryptosporidium parvum oocysts(10 X 5 per well, for smaples 04, 05 and 06) or without oocysts(for samples 01, 02 and 03)for 8 hours and then collected for array analysis. Sample 07 was cells exposed to heated inactived oocysts. <br>
2010-02-11 | E-MEXP-2050 | biostudies-arrayexpress
Project description:HLA-C expresion varies widely across the different HLA-C alleles. MicroRNA binding can partly explain the differences in HLA-C allele expression however other contributing factors still remain undetermined. Here we use two common HLA-C alleles, HLA-C*05:01 and HLA-C*07:02, to explore differences in expression levels. Using functional, structural and peptide repertoire comparisons we demonstrate that HLA-C expression levels are not only modulated at the RNA level but also at the protein level. This dataset contains RAW data and database search results for HLA-C*05:01 and HLA-C*07:02 from the 721.221 cell line.
2017-07-03 | PXD006455 | Pride
Project description:The prostate stroma is a key mediator of epithelial differentiation and development, and potentially plays a role in the initiation and progression of prostate cancer. Isolation and characterization of viable populations of the constituent cell types of prostate tumors could provide valuable insight into the biology of cancer. The CD90+ stromal fibromuscular cells from tumor specimens were isolated by cell-sorting and analyzed by DNA microarray. Dataset analysis was used to compare gene expression between normal and tumor-associated reactive stromal cells. Reactive stroma is characterized by smooth muscle differentiation, prostate down-regulation of SPOCK3, MSMB, CXCL13, and PAGE4, bladder down-regulation of TRPA1, HSD17B2, IL24, and SALL1, and an up-regulation of CXC-chemokines. This study identified a group of differentially expressed genes in CD90+ reactive stromal cells that are potentially involved in organ development and smooth muscle cell differentiation. Experiment Overall Design: A total of 15 arrays were run for the following sample types obtained from 10 patients: Experiment Overall Design: 2 CD90+ prostate tumor-associated stromal: Experiment Overall Design: Patient 1: CP_Str_08-028_CD90posi Experiment Overall Design: Patient 2: 08-032_CP_strom_CD90posi Experiment Overall Design: 2 CD13+ normal bladder stromal: Experiment Overall Design: Patient 3: 06-125_NB_CD13posi Experiment Overall Design: Patient 4: 06-070_NB_str_CD13posi Experiment Overall Design: 1 CD13+ bladder tumor-associated stromal: Experiment Overall Design: Patient 5: 07-008_CB_str_CD13posi Experiment Overall Design: 5 whole tissue prostate cancer and 5 normal tissue from matched pairs: Experiment Overall Design: Patient 6: 05-206_CaP, 05-206_NP Experiment Overall Design: Patient 7: 05-213_CaP, 05-213_NP Experiment Overall Design: Patient 8: 05-214_CaP, 05-214_NP Experiment Overall Design: Patient 9: 05-218_CaP, 05-218_NP Experiment Overall Design: Patient 10: 05-220_CaP, 05-220_NP Experiment Overall Design: Additionally, 8 arrays were run for the following sample types obtained from 7 patients: Experiment Overall Design: 5 CD49a+ normal prostate stromal (PMID 16638148): Experiment Overall Design: Patient 1: CD49a_01-26-04 Experiment Overall Design: Patient 2: CD49a_03-23-04 Experiment Overall Design: Patient 3: CD49a_03-04-04 Experiment Overall Design: Patient 4: CD49a-1_06-02-04 Experiment Overall Design: Patient 5: CD49a-4_06-02-04 Experiment Overall Design: 3 CD26+ prostate cancer (2 biological replicates, 1 sample run twice): Experiment Overall Design: Patient 6: 05-179_CD26t Experiment Overall Design: Patient 6: 05-179_CD26t_2 Experiment Overall Design: Patient 7: 08-032_CP_epi_CD26posi Experiment Overall Design: The following two prostate cancer samples were also included in the analyses: Experiment Overall Design: CD26+ cancer cell, replicate 1 Experiment Overall Design: CD26+ cancer cell, replicate 2 Experiment Overall Design: The tissue samples consisted of prostate tissue specimens obtained from patients undergoing radical prostatectomy under approval by the University of Washington Institutional Review Board. The same approach was used for both cancer-free and cancer-enriched (where at least 85% of the cells in the corresponding frozen section were of cancer) samples. To obtain bladder stromal cells for analysis, tissue specimens were obtained from cystoprostatectomy surgeries. For cell sorting, the collected specimens were processed within hours. Cell types were sorted using monoclonal antibodies specific for tumor-associated prostate stromal cells (CD90), tumor-associated bladder stromal cells (CD13) and normal bladder stromal cells (CD13) with MACS.
2009-09-18 | E-GEOD-17906 | biostudies-arrayexpress
Project description:Several HLA allelic variants have been associated with protection from, or susceptibility to infectious and autoimmune diseases. Here, we examined whether specific HLA alleles would be associated with different Mtb infection outcomes. We found that DQA1*03:01, DPB1*04:02, and DRB4*01:01 were signficantly more frequent in inividuals with active TB (susceptibility alleles). Furthermore, individuals who express any of the three susceptibility alleles were associated with lower magnitude of responses against Mtb antigens. We investigated the gene expression changes induced in PBMCs by Mtb lysate and a peptide pool (MTB300) in individuals with or without expression of the susceptibility alleles.
2023-03-29 | GSE207214 | GEO
Project description:Cross organ comparison. Probes made 10/22/04, slide hybes 10/25/04, scanned 10/26/04.
2004-08-30 | E-TABM-9 | biostudies-arrayexpress
Project description:The Human leukocyte antigen (HLA) -region, especially HLA class I and II genes, plays a major role in the predisposition to autoimmune disorders. Particularly three HLA haplotypes, DRB1*03-DQA1*05-DQB1*02 (DR3-DQ2), DRB1*04:01-DQA1*03-DQB1*03:02 (DR4-DQ8) and DRB1*15-DQA1*01-DQB1*06:02 (DR2-DQ6), have an important role in many autoimmune diseases: for example, in type 1 diabetes (T1D) the DR2-DQ6 is associated with a strongly decreased T1D risk and the DR3-DQ2 and DR4-DQ8 are associated with a moderately increased T1D risk. To clarify the mechanisms behind this association, we examined genome-wide DNA methylation in CD4+ T cells and CD19+ B cells of healthy subjects homozygous either for DR3-DQ2 (n = 19), DR4-DQ8 (n = 17) or DR2-DQ6 (n = 14), and compared methylation between the genotypes. For the study, CD4+ T cells and CD19+ B cells were isolated consecutively from PBMC samples using magnetic bead separation. DNA was extracted from the cell lysates with AllPrep DNA/RNA/miRNA Universal Kit (Qiagen, Germany). Then the individual DNA samples were pooled into 11 pooled samples with 4–5 samples per pooled sample. The original 50 samples were designated pools based on age and sex to ensure that the age and sex distributions would be as similar as possible between the pooled samples. The mean age (±SD) in the three HLA-groups (DR2-DQ6, DR3-DQ2 and DR4-DQ8) were 15.0 (±8.3), 11.1 (±5.6) and 11.8 (±7.9) and their male to female ratios were 8/6, 9/10 and 11/6. Similar pooled samples were created for both the CD4+ T cell and the CD19+ B cell samples. Then DNA methylation was examined in the pooled CD4+ T cell and CD19+ B cell samples using Illumina Infinium HumanMethylation EPIC beadchip.
2024-06-20 | E-MTAB-13654 | biostudies-arrayexpress
Project description:Lipopeptide biosurfactant producing Bacillus strains have many useful applications in biotechnology and agriculture, based on their emulsifying, surface activity and antimicrobial properties. In the current study, lipopeptide production kinetics, and biocontrol potentials of two new B. velezensis strains, ES1-02 and EFSO2-04 were analyzed and compared with those of commercial strains QST713 and FZB42. ES1-02 and EFSO2-04 showed higher specific growth rates than FZB42, but lower growth rates than QST713. All strains produced surfactin lipopetides, while fengycin production was not observed in ES1-02 and EFSO2-04. Production of fengycin A, B, X and Y were however confirmed in strains QST713 and FZB42. Significant differences were observed in the production of lipopeptides of the iturin family. While ES1-02 and EFSO2-04 produced bacillomycin L, QST713 produced iturin A, and FZB42 produced bacillomycin D. This was in line with the PCR analysis of corresponding genes encoding the identified lipopeptides. Highest surfactin titer of 97.4 mg/L was observed in ES1-02, while QST713 produced highest amount of iturin/bacillomycin (8.5 mg/L). Surfactin isoforms C12 to C17, and iturin/bacillomycin isoforms C11 to C17 were identified by mass spectrometry. ES1-02 and EFSO2-04 showed biocontrol potentials comparable with that of QST713 against Diaporthe spp., while FZB42 showed superior antifungal potentials. Up to 41%, 43%, 47 % and 68.9 % inhibition of D. caulivora were achieved by ES1-02, EFSO2-04, QST713 and FZB42 respectively. Upon exposure to B. velezensis strains, morphological changes to Diaporthe hyphae in form of swellings, distortion, and complete disruption occurred. Interaction of D. longicolla DPC_HOH20 with ES1-02 and EFSO2-04 induced 10-fold and 5-fold increase in surfactin synthesis, respectively. Antagonist interaction with D. longicolla induced significant changes in the proteome of ES1-02 including an increased abundance of several proteins associated with biosynthesis of antimicrobial compounds and fatty acids, while proteins associated with phosphate uptake were decreased in abundance.
2023-10-24 | PXD035016 | Pride
Project description:The iNSC cells are two clones generated from the same MEF line. Therefore, we conducted one analysis that compared the two clonal lines and a separate analysis that compared iNSC vs. NSC, iNSC vs. MEF, and NSC vs. MEF. Both were single factor ANOVAs, the first compared two groups (the iNSC lines) and the second had three groups. For the second analysis, we then used linear contrasts to extract the information about differences between all pairs (e.g. iNSC vs. NSC). Looking at the iNSC lines, the correlations between samples from different clonal lines are as high as the correlations between samples from within a clonal line. Given this, we think that the analysis that combines all 6 of them to compare against the other cell types is appropriate. Array Platform: Affymetrix Mouse Gene 1.0 ST Samples: A total of 12 arrays array# filename genotype 1 01.iNSC1.1.CEL iNSC 2 02.iNSC1.2.CEL iNSC 3 03.iNSC1.3.CEL iNSC 4 04.iNSC2.1.CEL iNSC 5 05.iNSC2.2.CEL iNSC 6 06.iNSC2.3.CEL iNSC 7 07.WT.NSC.1.CEL NSC 8 08.WT.NSC.2.CEL NSC 9 09.WT.NSC.3.CEL NSC 10 10.WT.MEFs.1.CEL MEF 11 11.WT.MEFs.3.CEL MEF 12 12.WT.MEFs.5.CEL MEF
2012-06-06 | E-GEOD-37859 | biostudies-arrayexpress