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.
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.]
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
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.
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.
Project description:Variability of meningioma growth, even within benign subgroup, makes some remain unaltered, while others grow fast despite an appended radiotherapy. Biomarkers that differentiate between less and more aggressive meningiomas would therefore have a significant clinical benefit in prediction of their biological behaviour. The aim of the study was to identify new candidate miRNAs enabling better and proper prediction of meningioma recurrence. We used miRNA 4.0 array (Applied Biosystems, Foster City, CA, USA) to detect miRNA profiles in 44 primary meningioma patients (19 with subsequent recurrence) and 5 healthy controls. Moreover, miRNA profiles were analyzed in 15 secondary meningiomas.
