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gene expression microarray  (DNA Chip Research Inc)

 
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    DNA Chip Research Inc gene expression microarray
    Comparison of global gene expression in trisomy 12 hPSC lines. ( A ) Cluster dendrogram of <t>microarray</t> data from trisomy 12 hPSC lines and their original lines. N = 3 from each lines. ( B–D ) Scatter plot of signal intensity for all microarray probes. Each dot in the plot shows the mean signal intensity of each probe averaged from 3 samples of H9 ( X-axis ) and H9(+ 12) ( Y-axis ) hESC lines ( B ), 201B7 ( X-axis ) and 201B7(+ 12) ( Y-axis ) hiPSC lines ( C ), and 19–9-7 T ( X-axis ) and 19–9-7 T(+ 12) ( Y-axis ) hiPSC lines ( D ). ( E , F ) Pie charts of significantly upregulated ( E ) or downregulated ( F ) probes of the trisomy 12 hPSC lines in common from microarray analysis (FDR < 0.1). ( G , H ) Pie charts of significantly upregulated G or downregulated H probes of the trisomy 12 hPSC lines in common from microarray analysis (FDR < 0.1). The area in blue indicates the ratio of the probes targeting chromosome 12. The area in red indicates the probes targeting the other chromosomes. ( I , J ) The list of “PANTHER” pathways and their p values extracted from the commonly upregulated genes I and downregulated gene J.
    Gene Expression Microarray, supplied by DNA Chip Research Inc, 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/dna+microarray+gene+expression+datasets/gene+expression+microarray/pmc11126453-57-0-7
    Average 90 stars, based on 1 article reviews
    gene expression microarray - by Bioz Stars, 2026-10
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    1) Product Images from "Trisomy 12 compromises the mesendodermal differentiation propensity of human pluripotent stem cells"

    Article Title: Trisomy 12 compromises the mesendodermal differentiation propensity of human pluripotent stem cells

    Journal: In Vitro Cellular & Developmental Biology. Animal

    doi: 10.1007/s11626-023-00824-9

    Comparison of global gene expression in trisomy 12 hPSC lines. ( A ) Cluster dendrogram of microarray data from trisomy 12 hPSC lines and their original lines. N = 3 from each lines. ( B–D ) Scatter plot of signal intensity for all microarray probes. Each dot in the plot shows the mean signal intensity of each probe averaged from 3 samples of H9 ( X-axis ) and H9(+ 12) ( Y-axis ) hESC lines ( B ), 201B7 ( X-axis ) and 201B7(+ 12) ( Y-axis ) hiPSC lines ( C ), and 19–9-7 T ( X-axis ) and 19–9-7 T(+ 12) ( Y-axis ) hiPSC lines ( D ). ( E , F ) Pie charts of significantly upregulated ( E ) or downregulated ( F ) probes of the trisomy 12 hPSC lines in common from microarray analysis (FDR < 0.1). ( G , H ) Pie charts of significantly upregulated G or downregulated H probes of the trisomy 12 hPSC lines in common from microarray analysis (FDR < 0.1). The area in blue indicates the ratio of the probes targeting chromosome 12. The area in red indicates the probes targeting the other chromosomes. ( I , J ) The list of “PANTHER” pathways and their p values extracted from the commonly upregulated genes I and downregulated gene J.
    Figure Legend Snippet: Comparison of global gene expression in trisomy 12 hPSC lines. ( A ) Cluster dendrogram of microarray data from trisomy 12 hPSC lines and their original lines. N = 3 from each lines. ( B–D ) Scatter plot of signal intensity for all microarray probes. Each dot in the plot shows the mean signal intensity of each probe averaged from 3 samples of H9 ( X-axis ) and H9(+ 12) ( Y-axis ) hESC lines ( B ), 201B7 ( X-axis ) and 201B7(+ 12) ( Y-axis ) hiPSC lines ( C ), and 19–9-7 T ( X-axis ) and 19–9-7 T(+ 12) ( Y-axis ) hiPSC lines ( D ). ( E , F ) Pie charts of significantly upregulated ( E ) or downregulated ( F ) probes of the trisomy 12 hPSC lines in common from microarray analysis (FDR < 0.1). ( G , H ) Pie charts of significantly upregulated G or downregulated H probes of the trisomy 12 hPSC lines in common from microarray analysis (FDR < 0.1). The area in blue indicates the ratio of the probes targeting chromosome 12. The area in red indicates the probes targeting the other chromosomes. ( I , J ) The list of “PANTHER” pathways and their p values extracted from the commonly upregulated genes I and downregulated gene J.

    Techniques Used: Comparison, Gene Expression, Microarray

    Related Articles

    Gene Expression:

    Article Title: Trisomy 12 compromises the mesendodermal differentiation propensity of human pluripotent stem cells
    Article Snippet: Data analysis was carried out using the Web-based hPSC Scorecard Analysis Software at www.lifetechnologies.com/scorecarddata . .. Gene expression microarray experiments were performed by DNA Chip Research Inc (Tokyo, Japan). .. After obtaining the genomic DNA-free total RNA described above, the RNA quantity and quality were verified with a NanoDrop 1000 (Thermo Fisher Scientific), Qubit 2.0 Fluorometer (Thermo Fisher Scientific), and Bioanalyzer RNA6000 Nano (Agilent, Santa Clara, CA).

    Microarray:

    Article Title: Trisomy 12 compromises the mesendodermal differentiation propensity of human pluripotent stem cells
    Article Snippet: Data analysis was carried out using the Web-based hPSC Scorecard Analysis Software at www.lifetechnologies.com/scorecarddata . .. Gene expression microarray experiments were performed by DNA Chip Research Inc (Tokyo, Japan). .. After obtaining the genomic DNA-free total RNA described above, the RNA quantity and quality were verified with a NanoDrop 1000 (Thermo Fisher Scientific), Qubit 2.0 Fluorometer (Thermo Fisher Scientific), and Bioanalyzer RNA6000 Nano (Agilent, Santa Clara, CA).



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    Workflow of this study. The DNA microarray gene expression datasets of 92 borderline ovarian tumor (BOT) samples and 136 normal ovarian controls were downloaded from a publicly available database with the gene set regularity (GSR) index calculated by the Gene Ontology (GO) gene set. Functionomes consisting of 10,192 GO gene sets established from the polygenic model and machine learning with statistical methods and cumulative portion transformations were used to recognize the functionome patterns to discover dysfunctional GO terms, pathways, and differentially expressed genes (DEGs). Finally, the pathogenesis of BOTs was investigated by integrative analysis.

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    Figure Lengend Snippet: Workflow of this study. The DNA microarray gene expression datasets of 92 borderline ovarian tumor (BOT) samples and 136 normal ovarian controls were downloaded from a publicly available database with the gene set regularity (GSR) index calculated by the Gene Ontology (GO) gene set. Functionomes consisting of 10,192 GO gene sets established from the polygenic model and machine learning with statistical methods and cumulative portion transformations were used to recognize the functionome patterns to discover dysfunctional GO terms, pathways, and differentially expressed genes (DEGs). Finally, the pathogenesis of BOTs was investigated by integrative analysis.

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