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MediSapiens Ltd gene expression data
Gene Expression Data, supplied by MediSapiens Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/genesifter%E2%84%A2+microarray+data+analysis+system/microarray+data+analysis/pmc05036535-165-0-10
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Expressing:

Article Title: ZEB1/miR-200c/AGR2: A New Regulatory Loop Modulating the Epithelial-Mesenchymal Transition in Lung Adenocarcinomas
Article Snippet: .. Oncomine box plots of AGR2 and ZEB1 levels in human lung adenocarcinoma and normal lung tissues in three various datasets (Okamaya, Selamat, Landi), Figure S2: Lung cancer patients’ mRNA expression profiling ( n = 1439) to compare AGR2 vs. CDH1 and ZEB1 ( http://ist.medisapiens.com ), Figure S3: Graph for TCGA Lung adenocarcinoma data showing the gene expression of ZEB1 in lung adenocarcinoma patients with respect to AGR2 expression ( http://xena.ucsc.edu ), Figure S4: The AGR2 expression level in primary tumor site and metastasis. ..

Article Title: Cullin3-KLHL15 ubiquitin ligase mediates CtIP protein turnover to fine-tune DNA-end resection.
Article Snippet: .. Interestingly, publicly available gene expression databases, such as MediSapiens, indicate highest KLHL15 expression levels predominantly in hematopoietic stem cells and in all four main types of leukemia (http://ist.medisapiens.com/#ENSG00000174010). ..


Article Title: B7-H7 Is Inducible on T Cells to Regulate Their Immune Response and Serves as a Marker for Exhaustion
Article Snippet: .. While antigen-presenting cells and myeloid cells were reported to be the major cell types that expressed B7-H7, mRNA expression data from IST Medisapiens demonstrated that B7-H7 was expressed on most immune cells at the RNA level, including T cells ( ). ..

Gene Expression:

Article Title: ZEB1/miR-200c/AGR2: A New Regulatory Loop Modulating the Epithelial-Mesenchymal Transition in Lung Adenocarcinomas
Article Snippet: .. Oncomine box plots of AGR2 and ZEB1 levels in human lung adenocarcinoma and normal lung tissues in three various datasets (Okamaya, Selamat, Landi), Figure S2: Lung cancer patients’ mRNA expression profiling ( n = 1439) to compare AGR2 vs. CDH1 and ZEB1 ( http://ist.medisapiens.com ), Figure S3: Graph for TCGA Lung adenocarcinoma data showing the gene expression of ZEB1 in lung adenocarcinoma patients with respect to AGR2 expression ( http://xena.ucsc.edu ), Figure S4: The AGR2 expression level in primary tumor site and metastasis. ..

Article Title: Cullin3-KLHL15 ubiquitin ligase mediates CtIP protein turnover to fine-tune DNA-end resection.
Article Snippet: .. Interestingly, publicly available gene expression databases, such as MediSapiens, indicate highest KLHL15 expression levels predominantly in hematopoietic stem cells and in all four main types of leukemia (http://ist.medisapiens.com/#ENSG00000174010). ..

Article Title: Systematic Analysis of Human Protein Phosphatase Interactions and Dynamics.
Article Snippet: .. 10 Cell Systems 4, 1–15, April 26, 2017 Since the most common mechanism of cancer development is the overexpression of cellular genes, we also extracted and hierarchically clustered the gene expression profiles of these 46 phosphatase-CAP network proteins from 281 different human cancer tissues (IST Online; MediSapiens). ..

Article Title: THZ1 targeting CDK7 suppresses c-KIT transcriptional activity in gastrointestinal stromal tumours.
Article Snippet: .. E Gene expression profile in the MediSapiens IST Online transcriptome database. ..

other:

Article Title: Low infiltration of tumor-associated macrophages in high c-Myb-expressing breast tumors
Article Snippet: We calculated correlation coefficients for MYB and monocyte/macrophage recruitment factors in three independent datasets (Gene Expression Omnibus, GEO, accession numbers GSE22358, GSE12276, GSE25066) and in Medisapiens meta-base.

Over Expression:

Article Title: Systematic Analysis of Human Protein Phosphatase Interactions and Dynamics.
Article Snippet: .. 10 Cell Systems 4, 1–15, April 26, 2017 Since the most common mechanism of cancer development is the overexpression of cellular genes, we also extracted and hierarchically clustered the gene expression profiles of these 46 phosphatase-CAP network proteins from 281 different human cancer tissues (IST Online; MediSapiens). ..

RNA Expression:

Article Title: PROX1 transcription factor is a master regulator of myogenic and oncogenic features of rhabdomyosarcoma
Article Snippet: Several such genes were found to be significantly repressed by PROX1 silencing: FGFR4, MYL4 , IGFBP5, IGF2 ( ; ), MYOG , MYCN , RASSF4 , VANGL2 , Hey1 ( ) and NOTCH3 ( ) ( ). .. Correlation analysis of these genes with PROX1 using RMS tumor RNA expression data in MediSapiens (n = 49 tumors, http://ist.medisapiens.com/ ) showed significant correlation between PROX1 and six of these genes , of which one of the strongest correlations was found between PROX1 and FGFR4 ( ). ..



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BMDMs RNA was obtained from individual wt and IRF8 mutant F2 mice either prior to (unstimulated control) or 3 hrs following stimulation with IFNγ/CpG (6 samples per experimental group; 24 samples in total), and hybridized to microarrays. (A) By using a 2×2 interaction Anova analysis, 368 genes were recognized to be significantly differentially modulated by IRF8 in response to IFNγ/CpG exposure between the wt and IRF8 mutant cells. The expression profiles are ordered by hierarchical clustering; the genes, illustrated by their specific signal intensities (Log 2 scale) are displayed as rows and individual mouse samples/conditions as columns. Red coloring signifies high level of expression; green coloring denotes low level of expression. The dendrogram illustrates the clustering of the samples according to expression pattern similarities. RNA samples (6 per experimental group) used for this transcriptional profiling analysis were pooled and used for qPCR validation. Ephx1 , Cyp27a1 , Ciita , and Il10ra were selected as genes positively affected by the presence of functional IRF8 following IFNγ/CpG exposure (B), while Ms4a7 , C1qb , Angptl4 , and Slc40a1 were selected as genes negatively affected by the presence of a functional IRF8 following IFNγ/CpG exposure (C). The ratios of expression (IFNγ/CpG-stimulated versus unstimulated control), represented by fold induction, were calculated for the wt and IRF8 mutant mice separately (white bars), and compared to the corresponding <t>microarray</t> results (black bars). The black dots indicate the qPCR values obtained for each replicate. The microarray results were statistically significant according to Anova analysis ( t test p value of 0.05 and a fold-change cutoff of 1.5X). Hprt was used to standardize the mRNA levels of target genes for qPCR.
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BMDMs RNA was obtained from individual wt and IRF8 mutant F2 mice either prior to (unstimulated control) or 3 hrs following stimulation with IFNγ/CpG (6 samples per experimental group; 24 samples in total), and hybridized to microarrays. (A) By using a 2×2 interaction Anova analysis, 368 genes were recognized to be significantly differentially modulated by IRF8 in response to IFNγ/CpG exposure between the wt and IRF8 mutant cells. The expression profiles are ordered by hierarchical clustering; the genes, illustrated by their specific signal intensities (Log 2 scale) are displayed as rows and individual mouse samples/conditions as columns. Red coloring signifies high level of expression; green coloring denotes low level of expression. The dendrogram illustrates the clustering of the samples according to expression pattern similarities. RNA samples (6 per experimental group) used for this transcriptional profiling analysis were pooled and used for qPCR validation. Ephx1 , Cyp27a1 , Ciita , and Il10ra were selected as genes positively affected by the presence of functional IRF8 following IFNγ/CpG exposure (B), while Ms4a7 , C1qb , Angptl4 , and Slc40a1 were selected as genes negatively affected by the presence of a functional IRF8 following IFNγ/CpG exposure (C). The ratios of expression (IFNγ/CpG-stimulated versus unstimulated control), represented by fold induction, were calculated for the wt and IRF8 mutant mice separately (white bars), and compared to the corresponding <t>microarray</t> results (black bars). The black dots indicate the qPCR values obtained for each replicate. The microarray results were statistically significant according to Anova analysis ( t test p value of 0.05 and a fold-change cutoff of 1.5X). Hprt was used to standardize the mRNA levels of target genes for qPCR.
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BMDMs RNA was obtained from individual wt and IRF8 mutant F2 mice either prior to (unstimulated control) or 3 hrs following stimulation with IFNγ/CpG (6 samples per experimental group; 24 samples in total), and hybridized to microarrays. (A) By using a 2×2 interaction Anova analysis, 368 genes were recognized to be significantly differentially modulated by IRF8 in response to IFNγ/CpG exposure between the wt and IRF8 mutant cells. The expression profiles are ordered by hierarchical clustering; the genes, illustrated by their specific signal intensities (Log 2 scale) are displayed as rows and individual mouse samples/conditions as columns. Red coloring signifies high level of expression; green coloring denotes low level of expression. The dendrogram illustrates the clustering of the samples according to expression pattern similarities. RNA samples (6 per experimental group) used for this transcriptional profiling analysis were pooled and used for qPCR validation. Ephx1 , Cyp27a1 , Ciita , and Il10ra were selected as genes positively affected by the presence of functional IRF8 following IFNγ/CpG exposure (B), while Ms4a7 , C1qb , Angptl4 , and Slc40a1 were selected as genes negatively affected by the presence of a functional IRF8 following IFNγ/CpG exposure (C). The ratios of expression (IFNγ/CpG-stimulated versus unstimulated control), represented by fold induction, were calculated for the wt and IRF8 mutant mice separately (white bars), and compared to the corresponding <t>microarray</t> results (black bars). The black dots indicate the qPCR values obtained for each replicate. The microarray results were statistically significant according to Anova analysis ( t test p value of 0.05 and a fold-change cutoff of 1.5X). Hprt was used to standardize the mRNA levels of target genes for qPCR.
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BMDMs RNA was obtained from individual wt and IRF8 mutant F2 mice either prior to (unstimulated control) or 3 hrs following stimulation with IFNγ/CpG (6 samples per experimental group; 24 samples in total), and hybridized to microarrays. (A) By using a 2×2 interaction Anova analysis, 368 genes were recognized to be significantly differentially modulated by IRF8 in response to IFNγ/CpG exposure between the wt and IRF8 mutant cells. The expression profiles are ordered by hierarchical clustering; the genes, illustrated by their specific signal intensities (Log 2 scale) are displayed as rows and individual mouse samples/conditions as columns. Red coloring signifies high level of expression; green coloring denotes low level of expression. The dendrogram illustrates the clustering of the samples according to expression pattern similarities. RNA samples (6 per experimental group) used for this transcriptional profiling analysis were pooled and used for qPCR validation. Ephx1 , Cyp27a1 , Ciita , and Il10ra were selected as genes positively affected by the presence of functional IRF8 following IFNγ/CpG exposure (B), while Ms4a7 , C1qb , Angptl4 , and Slc40a1 were selected as genes negatively affected by the presence of a functional IRF8 following IFNγ/CpG exposure (C). The ratios of expression (IFNγ/CpG-stimulated versus unstimulated control), represented by fold induction, were calculated for the wt and IRF8 mutant mice separately (white bars), and compared to the corresponding microarray results (black bars). The black dots indicate the qPCR values obtained for each replicate. The microarray results were statistically significant according to Anova analysis ( t test p value of 0.05 and a fold-change cutoff of 1.5X). Hprt was used to standardize the mRNA levels of target genes for qPCR.

Journal: PLoS Genetics

Article Title: Interferon Regulatory Factor 8 Regulates Pathways for Antigen Presentation in Myeloid Cells and during Tuberculosis

doi: 10.1371/journal.pgen.1002097

Figure Lengend Snippet: BMDMs RNA was obtained from individual wt and IRF8 mutant F2 mice either prior to (unstimulated control) or 3 hrs following stimulation with IFNγ/CpG (6 samples per experimental group; 24 samples in total), and hybridized to microarrays. (A) By using a 2×2 interaction Anova analysis, 368 genes were recognized to be significantly differentially modulated by IRF8 in response to IFNγ/CpG exposure between the wt and IRF8 mutant cells. The expression profiles are ordered by hierarchical clustering; the genes, illustrated by their specific signal intensities (Log 2 scale) are displayed as rows and individual mouse samples/conditions as columns. Red coloring signifies high level of expression; green coloring denotes low level of expression. The dendrogram illustrates the clustering of the samples according to expression pattern similarities. RNA samples (6 per experimental group) used for this transcriptional profiling analysis were pooled and used for qPCR validation. Ephx1 , Cyp27a1 , Ciita , and Il10ra were selected as genes positively affected by the presence of functional IRF8 following IFNγ/CpG exposure (B), while Ms4a7 , C1qb , Angptl4 , and Slc40a1 were selected as genes negatively affected by the presence of a functional IRF8 following IFNγ/CpG exposure (C). The ratios of expression (IFNγ/CpG-stimulated versus unstimulated control), represented by fold induction, were calculated for the wt and IRF8 mutant mice separately (white bars), and compared to the corresponding microarray results (black bars). The black dots indicate the qPCR values obtained for each replicate. The microarray results were statistically significant according to Anova analysis ( t test p value of 0.05 and a fold-change cutoff of 1.5X). Hprt was used to standardize the mRNA levels of target genes for qPCR.

Article Snippet: The GeneSifter™ microarray data analysis system (Geospiza Inc., Seattle, WA, USA) was used to examine data generated from comparisons between control (unstimulated) and IFNγ/CpG-stimulated (3 hrs) groups.

Techniques: Mutagenesis, Expressing, Functional Assay, Microarray