whole human genome oligo microarray-based mrna data  (Agilent technologies)

Journal: Frontiers in Pharmacology

Article Title: Pharmacogenomic Characterization and Isobologram Analysis of the Combination of Ascorbic Acid and Curcumin—Two Main Metabolites of Curcuma longa —in Cancer Cells

doi: 10.3389/fphar.2017.00038

Figure Lengend Snippet: Meta-data of genes shown in the cluster analysis of whose mRNA expression correlated with log 10 IC 50 -values of vitamin C in the NCI tumor cell line panel .

Article Snippet: We correlated the IC 50 -values expressed on induction by curcumin and AA of 60 tumor cell lines by COMPARE analysis of microarray-based transcriptome-wide mRNA expression levels of these cell lines (Scherf et al., ).

Techniques: Expressing, Virus, Transduction, Activity Assay, Binding Assay, Coagulation, Phospho-proteomics, Residue, Sequencing, Membrane, Activation Assay, Control, Ubiquitin Proteomics

Journal: Frontiers in Pharmacology

Article Title: Pharmacogenomic Characterization and Isobologram Analysis of the Combination of Ascorbic Acid and Curcumin—Two Main Metabolites of Curcuma longa —in Cancer Cells

doi: 10.3389/fphar.2017.00038

Figure Lengend Snippet: Dendrograms and cluster image map of curcumin obtained by hierarchical cluster analysis of mRNA expression of 40 genes in the NCI cell line panel as analyzed by the Novartis microarray platform . The dendrogram on the left shows the clustering of cell lines and the dendrogram on the top shows the clustering of genes. The cluster image map shows each single mRNA expression value obtained by microarray analysis. The expression values have been normalized and color-coded.

Article Snippet: We correlated the IC 50 -values expressed on induction by curcumin and AA of 60 tumor cell lines by COMPARE analysis of microarray-based transcriptome-wide mRNA expression levels of these cell lines (Scherf et al., ).

Techniques: Expressing, Microarray

Journal: Frontiers in Pharmacology

Article Title: Pharmacogenomic Characterization and Isobologram Analysis of the Combination of Ascorbic Acid and Curcumin—Two Main Metabolites of Curcuma longa —in Cancer Cells

doi: 10.3389/fphar.2017.00038

Figure Lengend Snippet: Dendrograms and cluster image map of vitamin C obtained by hierarchical cluster analysis of mRNA expression of 40 genes in the NCI cell line panel as analyzed by the Novartis microarray platform . The dendrogram on the left shows the clustering of cell lines and the dendrogram on the top shows the clustering of genes. The cluster image map shows each single mRNA expression value obtained by microarray analysis. The expression values have been normalized and color-coded.

Article Snippet: We correlated the IC 50 -values expressed on induction by curcumin and AA of 60 tumor cell lines by COMPARE analysis of microarray-based transcriptome-wide mRNA expression levels of these cell lines (Scherf et al., ).

Techniques: Expressing, Microarray

Journal: Proceedings of the National Academy of Sciences of the United States of America

Article Title: Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling

doi: 10.1073/pnas.1509322112

Figure Lengend Snippet: Rank correlations between microarray- and real-time quantitative PCR–based gene expression

Article Snippet: An additional cryosection from each of 16 normal specimens, 13 CIN1/CIN2 specimens, 23 CIN3 specimens, and 16 cancer specimens was used to independently validate the Affymetrix microarray-based mRNA profiling data by RTQ-PCR.

Techniques: Microarray

Journal: Proceedings of the National Academy of Sciences of the United States of America

Article Title: Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling

doi: 10.1073/pnas.1509322112

Figure Lengend Snippet: Expression of genes encoding ribosomal proteins and mitochondrial electron transport chain complexes I, III, IV, and V is reduced at the transition from CIN3 to cancer. (A) Twenty-four small and 35 large ribosomal subunit proteins (∼70% of all ribosomal proteins) are expressed at statistically significant reduced levels in cancers compared with precancerous CIN3 lesions. Histograms show measurements in cancers by all 177 Affymetrix microarray probe sets for ribosomal protein-encoding genes, normalized to levels measured in CIN3s. (B) Green dots in the five complexes of the mitochondrial electron transport chain indicate proteins with reduced gene expression in cancers. Box plots (Tukey) show the average distribution of gene expression of all differentially expressed ETC complex I, III, IV, and V components (median levels are in red).

Article Snippet: An additional cryosection from each of 16 normal specimens, 13 CIN1/CIN2 specimens, 23 CIN3 specimens, and 16 cancer specimens was used to independently validate the Affymetrix microarray-based mRNA profiling data by RTQ-PCR.

Techniques: Expressing, Microarray

Journal: Proceedings of the National Academy of Sciences of the United States of America

Article Title: Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling

doi: 10.1073/pnas.1509322112

Figure Lengend Snippet: Differential expression of estrogen-responsive genes correlates strongly with cervical cancer progression. (A) Hierarchical clustering of 128 specimens based on changes in gene expression measured by 365 Affymetrix probe sets measuring expression of 217 estrogen-responsive genes shows strong correlation with disease progression. (B) Box plots (Tukey) show the distribution of Affymetrix microarray-based gene expression measurements of CDKN2A (p16), ERα, and estrogen-responsive genes GREB1, PGR1, and AR. White and red horizontal lines indicate median expression levels.

Article Snippet: An additional cryosection from each of 16 normal specimens, 13 CIN1/CIN2 specimens, 23 CIN3 specimens, and 16 cancer specimens was used to independently validate the Affymetrix microarray-based mRNA profiling data by RTQ-PCR.

Techniques: Expressing, Microarray