GeneChip Expression Array
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA606964 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression analysis to compare control cells and sorted cells We transfected cDNA of human umbilical vein endothelial cells into rat myeloma cells, and sorted cells bound to patient IgG. Sorted cells were analyzed using the Affymetrix Human Genome U133 Plus 2.0 Array to investigate the cDNA inserted into the sorted cells. Array data was processed by Affymetrix GeneChip Command Console Software and Affymetrix Expression Console Software. No techinical replicates were performed.
2020-02-17 | GSE145367 | GEO
Project description:Cross-species Detection in Barley1 GeneChip Array
| PRJNA149123 | ENA
Project description:Affymetrix GeneChip miRNA 4.0 Array for meningioma recurrence profilling
| PRJNA522376 | ENA
Project description:This study was conducted to evaluate the efficiency of cross-species detection in Barley1 GeneChip array. We hybridized cRNA derived from first leaves of barley green seedlings (as a control), as well as the same stage of seedling leaf from representative genotypes of wheat, oat, rice, maize, and sorghum. Ten to twenty seedlings for each species were harvested and pooled for RNA preparation, labeling, and hybridization. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Rico Caldo. The equivalent experiment is BB1 at PLEXdb.]
2011-11-22 | GSE33391 | GEO
Project description:To define the parameters necessary to design short oligo arrays for maize (Zea mays L.), a species with particularly high nucleotide (SNP) and insertion-deletion (indel) polymorphism frequencies, gene expression was analyzed in for four maize inbred lines using a custom Affymetrix DNA array. Statistically significant interactions between probes and maize inbreds were detected, affecting five or more probes (out of 30 probes per transcript) in the majority of cases, indicating the effect of polymorphisms on gene expresison estimates using this platform. Keywords: genotype effect
2006-04-14 | GSE4663 | GEO
Project description:SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip
| PRJNA115105 | ENA
Project description:Cytogenetic profiles of 50 meningiomas using high-density GeneChip Mapping 500K set and Genome-Wide Human SNP 6.0 Array in the tumor tissues and in the peripheral blood of the same patients. A total of two hundred 500k arrays (100 tumor samples and 100 blood samples) and 14 SNP6.0 arrays (7 tumour samples and 7 peripheral blood samples) were studied to explore the most common recurrent chromosomal abnormalities (gains and losses) in meningiomas. Our results confirm that del(22q) (52%) and del(1p) (16%) (common deleted regions: 22q11.21-22q13.3. and 1p31.2-p36.33) are the most frequent abnormalities. Additionally, recurrent monosomy 14 (8%), del(6p) (10%), del(7p) (10%) and del(19p) (6%) were also observed, while copy number variation (CNV) patterns consistent with recurrent chromosome gains, gene amplification was absent or rare. Based on their overall SNP profiles meningiomas could be classified into: i) diploid cases, ii) meningiomas with a single chromosome change (e.g. monosomy 22/del(22q) and iii) tumours with ≥2 altered chromosomes.
2012-11-30 | GSE42624 | GEO
Project description:Gene expression (GeneChip) data from scramble- and CRMP2A siRNA-treated A549 cells.
| PRJNA805214 | ENA
Project description:GeneChip® Mouse Gene 2.0 ST Array for C57BL/6 mouse skin dermal primary lymphatic endothelial cells (Ms LEC) and mouse lymphatic endothelial cell line SVEC4-10 GeneChip® Human Gene 2.0 ST Array for human primary lymphatic endothelial cells (Hu LEC) Total RNA from lymphatic cell line SVEC4-10 were used for GeneChip® Mouse Gene 2.0 ST Array.
2016-07-20 | GSE84551 | GEO
Project description:BackgroundAs gene expression signatures may serve as biomarkers, there is a need to develop technologies based on mRNA expression patterns that are adaptable for translational research. Xceed Molecular has recently developed a Ziplex technology, that can assay for gene expression of a discrete number of genes as a focused array. The present study has evaluated the reproducibility of the Ziplex system as applied to ovarian cancer research of genes shown to exhibit distinct expression profiles initially assessed by Affymetrix GeneChip analyses.MethodsThe new chemiluminescence-based Ziplex gene expression array technology was evaluated for the expression of 93 genes selected based on their Affymetrix GeneChip profiles as applied to ovarian cancer research. Probe design was based on the Affymetrix target sequence that favors the 3' UTR of transcripts in order to maximize reproducibility across platforms. Gene expression analysis was performed using the Ziplex Automated Workstation. Statistical analyses were performed to evaluate reproducibility of both the magnitude of expression and differences between normal and tumor samples by correlation analyses, fold change differences and statistical significance testing.ResultsExpressions of 82 of 93 (88.2%) genes were highly correlated (p < 0.01) in a comparison of the two platforms. Overall, 75 of 93 (80.6%) genes exhibited consistent results in normal versus tumor tissue comparisons for both platforms (p < 0.001). The fold change differences were concordant for 87 of 93 (94%) genes, where there was agreement between the platforms regarding statistical significance for 71 (76%) of 87 genes. There was a strong agreement between the two platforms as shown by comparisons of log2 fold differences of gene expression between tumor versus normal samples (R = 0.93) and by Bland-Altman analysis, where greater than 90% of expression values fell within the 95% limits of agreement.ConclusionOverall concordance of gene expression patterns based on correlations, statistical significance between tumor and normal ovary data, and fold changes was consistent between the Ziplex and Affymetrix platforms. The reproducibility and ease-of-use of the technology suggests that the Ziplex array is a suitable platform for translational research.
| S-EPMC2724495 | biostudies-literature