Rosetta (Merck) Expression Validated Gene Hybridizations
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE918 | GEO | 2003/12/18
SECONDARY ACCESSION(S): PRJNA87935
REPOSITORIES: GEO
Similar Datasets
Project description:Rosetta (Merck) Expression Validated Gene Hybridizations
2003-12-17 | E-GEOD-918 | biostudies-arrayexpress
Project description:Rosetta (Merck) Expression Validated Gene Hybridizations
| PRJNA87935 | ENA
Project description:Labeled organ cDNA samples from six organs were hybridized on one glass slide with identical conditions. The hybridizations were repeated for 19 times with 4 biological replications each with 5 technical replications. Keywords: repeat sample
2005-12-02 | GSE1963 | GEO
Project description:A series of dual-channel gene expression profiles obtained using Rosetta/Merck Mouse TOE 75k microarrays was used to examine the sex-dependent and STAT5b-dependent differences in gene expression in adult mouse liver. This series is comprised of 4 pools of 3 randomly chosen independent wildtype male and female mouse liver cDNA samples and 4 pools of 3 randomly chosen independent STAT5b-deficient male and female mouse liver cDNA samples, totaling 16 pools. The pools were paired randomly to generate 4 comparisons of M-WT:F-WT, M-WT:M-KO, F-KO:F-WT, and F-KO:M-KO. Comparison of the set of sex-dependent genes with the set of genes responsive to the loss of STAT5b in males shows that 75% of the sex-specific genes were also regulated by STAT5b in males. Only 20% of the sex-specific genes retained sex-specificity in the absence of STAT5b, indicating a large role for STAT5b in sex-specific liver gene expression. Keywords: genetic knockout and sex response
2006-07-26 | GSE5072 | GEO
Project description:Gene expression data of gdT-derived iPSCs and validated iPS clone for pluritest
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Project description:Idiopathic pulmonary fibrosis (IPF) is a chronic fibrosing lung disease that is difficult to diagnose and follows an unpredictable clinical course. The object of this study was to develop a predictive gene signature model of IPF from whole lung tissue. We collected whole lung samples from 11 IPF patients undergoing diagnostic surgical biopsy or transplantation. Whenever possible, samples were obtained from different lobes. Normals consisted of healthy organs donated for transplantation. We measured gene expression on microarrays. Data were analyzed by hierarchical clustering and Principal Component Analysis. By this approach, we found that gene expression was similar in the upper and lower lobes of individuals with IPF. We also found that biopsied and explanted specimens contained different patterns of gene expression; therefore, we analyzed biopsies and explants separately. Signatures were derived by fitting top genes to a Bayesian probit regression model. We developed a 153-gene signature that discriminates IPF biopsies from normal. We also developed a 70-gene signature that discriminates IPF explants from normal. Both signatures were validated on an independent cohort. The IPF Biopsy signature correctly diagnosed 76% of the validation cases (p < 0.01), while IPF Explant correctly diagnosed 78% (p < 0.001). Examination of differentially expressed genes revealed partial overlap between IPF Biopsy and IPF Explant and almost no overlap with previously reported IPF gene lists. However, several overlapping genes may provide a basis for developing therapeutic targets.
2011-11-01 | GSE24206 | GEO
Project description:S. lividans TK21 - S. coelicolor M145 Comparative Genomic Hybridizations
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Project description:Evolutionary insights into scleractinian corals using comparative genomic hybridizations
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Project description:We used gene expression profiling to address several specific questions that arose in a study of repair of ultraviolet C radiation in C elegans, as well as to generate hypotheses regarding the possible mechanism(s) of decreased DNA repair observed in old adults in that study. This analysis was performed in order to analyze gene expression in the strain (JK1107) and experimental conditions that we used for our DNA repair studies. The supplementary file GSE4766_Resolver_all_data.txt includes Resolver generated fold-changes and p values based on ratios built in Rosetta Resolver as described in the Rosetta Biosoftware Technical Note (Lee Weng, 2004), Data processing and analysis methods in the Rosetta Resolver system (http://www.rosettabio.com/tech/default.htm). Keywords: C elegans, glp-1, age, nucleotide excision repair, ultraviolet radiation, DNA damage
2007-05-16 | GSE4766 | GEO
Project description:In this series we described the gene expression profiles of 18 APL patients using a high density DNA-oligonucleotide microarray (Agilent) representing about 20.000 genes demonstrating the presence of a very uniform expression pattern of APL cases among which two mainly types of gene profiles were recognized by unsupervised analysis. Relationship between these two subgroups and the different clinical, haematological and molecular APL features, comprising FLT3 status, were investigated. To identify biologically meaningful subsets of APL, fluorescently-labelled cRNA was generated by in vitro transcription using Low RNA Input Fluorescent Linear Amplification Kit (Agilent Technologies) according to the manufacturer?s instructions. Amplified cRNA of each patient was labelled with cyanine 5-CTP and Human Universal Reference (Stratagene) with 3-CTP in each experiment. Samples were hybridized on Agilent Human 1A Oligo Microarray (V2), ink-jet printed microarray, comprising 20,173 (60-mer) experimentally validated oligonucleotide probes (features). Fluorescence data were analysed with Feature Extraction Software v.7.5 (Agilent Technologies). Log10 ratio of the dye-normalized Cy3 and Cy5 channel signals were calculated. Raw signal intensities from each scan were imported into the gene expression analysis software Luminator (Rosetta Biosoftware). Two-dimensional clustering analysis was performed with Rosetta Luminator using an agglomerative algorithm with average link heuristics and correlation with mean subtraction. Supervised classification of APL samples into categories based on gene expression profiles was performed using Bayesian classifier implemented by Rosetta Biosoftware. Resultant gene expression profiles were first analyzed using an unsupervised, agglomerative hierarchical clustering. The matrix view clearly evidenced the high grade of uniformity in gene expression pattern among APL patients being the majority of genes expressed at high (red colour) or low (green colour) levels relative to reference in all APL cases analyzed. This appearance of unsupervised matrix reflects the homogeneous nature of acute promyelocytic leukemia whose gene expression pattern definitely distinguishes it from all other types of acute myeloid leukemia. Beside the homogeneous pattern, subtle differences in gene expression had the strength to distinguish three clusters of APL patients (designed I, II, III). Comparisons between cluster I and cluster II patients clearly revealed a preferential distribution of FLT3 gene mutated cases in cluster I. Again, cluster I was related to microgranular morphology (M3v) (p=0.035) and short-type PML-RAR isoform (bcr3) (p=0.044). Furthermore cluster I was significantly associated with higher presentation circulant blast cell percentage (p=0.030) as well as hyperleucocitosis (p=0.009). To identify those genes distinguishing the FLT3-ITD leukemic cells from FLT3-WT, we applied a Bayesian classifier. 147 genes, significantly different among classes based on t-tests, were selected and included into the classifier. Among them, 92 genes were up-regulated in FLT3-ITD class and 55 were down-regulated. FLT3 internal tandem duplication gene expression signature consisted of several high expressed genes, among them we found genes that are involved in cytoskeleton organization, cell adhesion and migration, in proliferation and coagulation/inflammation pathways as well as down-regulated genes of myeloid granules and differentiation suggesting a role of FLT3 mutations in the pathogenesis and clinical manifestation of an APL subtype. SUPPLEMENTARY DATA:1) Anova gene list ITD, 2)Anova gene list M3 morphology, 3)Anova gene list PML/RARalpha isoforms (bcr), 4)Intersection gene list ITD_M3, 5) Intersection gene list ITD_bcr, 6)Intersection gene list M3_bcr, 7)Bayesian classifier gene list for FLT3-ITD vs FLT3-wt, 8)Bayesian classifier gene list for bcr1 vs bcr3 Keywords = APL Keywords = FLT3 Keywords = ITD Keywords = mutation Keywords = expression profiling Keywords: other
2005-10-06 | GSE2550 | GEO