human hg u133 2 0 plus chip Thermo Fisher Search Results


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    Thermo Fisher genechip human genome u133 plus 2 0 array
    Genechip Human Genome U133 Plus 2 0 Array, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 94/100, based on 2911 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    86
    Thermo Fisher hg u133a plus 2 0 oligonucleotide arrays
    Hg U133a Plus 2 0 Oligonucleotide Arrays, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 86/100, based on 4 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    99
    Thermo Fisher human hg u133 2 0 plus chip
    Comparison of the mRNA expression levels of CD147 and All_Genes in cancer cell lines from different <t>microarray</t> platforms ( A ) Expression values were obtained from CCLE. Five microarray platforms that have been exploited to generate transcriptome values in the NCI60: ( B ) Agilent WHG (Agilent Technologies; containing 41,000 probes), ( C ) Human Genome U133 Plus 2.0 (HG-U133 Plus 2.0; approximately 47,000 features), ( D ) Human Genome U133 (HG-U133a and b; approximately 44,000 features), ( E ) Affymetrix Human Genome U95 (HG-U95; approximately 60,000 features; Affymetrix Inc.) and ( F ) Affymetrix GeneChip Human Exon 1.0 ST (GH Exon 1.0 ST; approximately 850,000 features). The GC robust multi-array average (GCRMA) was used to normalize HG-U133 and HG-U95 arrays, whereas RMA was exploited for HG-U133 Plus 2.0 and HuEx 1.0 normalization. **** P
    Human Hg U133 2 0 Plus Chip, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 2533 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human hg u133 2 0 plus chip/product/Thermo Fisher
    Average 99 stars, based on 2533 article reviews
    Price from $9.99 to $1999.99
    human hg u133 2 0 plus chip - by Bioz Stars, 2020-08
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      Buy from Supplier

    99
    Thermo Fisher human genome hg u133a 2 0 plus oligonucleotide arrays
    Comparison of the mRNA expression levels of CD147 and All_Genes in cancer cell lines from different <t>microarray</t> platforms ( A ) Expression values were obtained from CCLE. Five microarray platforms that have been exploited to generate transcriptome values in the NCI60: ( B ) Agilent WHG (Agilent Technologies; containing 41,000 probes), ( C ) Human Genome U133 Plus 2.0 (HG-U133 Plus 2.0; approximately 47,000 features), ( D ) Human Genome U133 (HG-U133a and b; approximately 44,000 features), ( E ) Affymetrix Human Genome U95 (HG-U95; approximately 60,000 features; Affymetrix Inc.) and ( F ) Affymetrix GeneChip Human Exon 1.0 ST (GH Exon 1.0 ST; approximately 850,000 features). The GC robust multi-array average (GCRMA) was used to normalize HG-U133 and HG-U95 arrays, whereas RMA was exploited for HG-U133 Plus 2.0 and HuEx 1.0 normalization. **** P
    Human Genome Hg U133a 2 0 Plus Oligonucleotide Arrays, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human genome hg u133a 2 0 plus oligonucleotide arrays/product/Thermo Fisher
    Average 99 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    human genome hg u133a 2 0 plus oligonucleotide arrays - by Bioz Stars, 2020-08
    99/100 stars
      Buy from Supplier

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    Comparison of the mRNA expression levels of CD147 and All_Genes in cancer cell lines from different microarray platforms ( A ) Expression values were obtained from CCLE. Five microarray platforms that have been exploited to generate transcriptome values in the NCI60: ( B ) Agilent WHG (Agilent Technologies; containing 41,000 probes), ( C ) Human Genome U133 Plus 2.0 (HG-U133 Plus 2.0; approximately 47,000 features), ( D ) Human Genome U133 (HG-U133a and b; approximately 44,000 features), ( E ) Affymetrix Human Genome U95 (HG-U95; approximately 60,000 features; Affymetrix Inc.) and ( F ) Affymetrix GeneChip Human Exon 1.0 ST (GH Exon 1.0 ST; approximately 850,000 features). The GC robust multi-array average (GCRMA) was used to normalize HG-U133 and HG-U95 arrays, whereas RMA was exploited for HG-U133 Plus 2.0 and HuEx 1.0 normalization. **** P

    Journal: Oncotarget

    Article Title: System analysis of the regulation of the immune response by CD147 and FOXC1 in cancer cell lines

    doi: 10.18632/oncotarget.24161

    Figure Lengend Snippet: Comparison of the mRNA expression levels of CD147 and All_Genes in cancer cell lines from different microarray platforms ( A ) Expression values were obtained from CCLE. Five microarray platforms that have been exploited to generate transcriptome values in the NCI60: ( B ) Agilent WHG (Agilent Technologies; containing 41,000 probes), ( C ) Human Genome U133 Plus 2.0 (HG-U133 Plus 2.0; approximately 47,000 features), ( D ) Human Genome U133 (HG-U133a and b; approximately 44,000 features), ( E ) Affymetrix Human Genome U95 (HG-U95; approximately 60,000 features; Affymetrix Inc.) and ( F ) Affymetrix GeneChip Human Exon 1.0 ST (GH Exon 1.0 ST; approximately 850,000 features). The GC robust multi-array average (GCRMA) was used to normalize HG-U133 and HG-U95 arrays, whereas RMA was exploited for HG-U133 Plus 2.0 and HuEx 1.0 normalization. **** P

    Article Snippet: The reproducibility of CD147 mRNA expression measures was evaluated by comparing its transcriptional profile from the CCLE with the data from five different microarray platforms (Affymetrix HG-U95, HG-U133 a-b, HG-U133 Plus 2.0, Agilent WHG chips and Human Exon 1.0 ST) exploited in previous gene-expression studies of NCI60 ( http://discover.nci.nih.gov/cellminer/ ) [ , ], the cancer cell line collection of the National Cancer Institute Developmental Therapeutics Program (NCI-DTP).

    Techniques: Expressing, Microarray

    Heat maps of influenza-induced cytokine and IFN-related genes in human ATII cells from microarray experiments. ATII cells isolated from lungs of three patients were cultured, and infected with influenza A/PR/8/34 (PR/8) virus. RNA from virus-infected and noninfected cells at 4 hours and 24 hours post inoculation (PI) were extracted and subjected to Affymetrix HG-U133 Plus 2.0 gene chip analyses. Responses of innate immune genes were clustered using the “heat map” function from R statistical software (R Foundation, Vienna, Austria). ( A ) Cytokine-related genes at 4 hours PI. ( B ) Cytokine-related genes at 24 hours PI. ( C ) IFN-related genes at 4 hours PI. ( D ) IFN-related genes at 24 hours PI.

    Journal: American Journal of Respiratory Cell and Molecular Biology

    Article Title: Innate Immune Response to Influenza A Virus in Differentiated Human Alveolar Type II Cells

    doi: 10.1165/rcmb.2010-0108OC

    Figure Lengend Snippet: Heat maps of influenza-induced cytokine and IFN-related genes in human ATII cells from microarray experiments. ATII cells isolated from lungs of three patients were cultured, and infected with influenza A/PR/8/34 (PR/8) virus. RNA from virus-infected and noninfected cells at 4 hours and 24 hours post inoculation (PI) were extracted and subjected to Affymetrix HG-U133 Plus 2.0 gene chip analyses. Responses of innate immune genes were clustered using the “heat map” function from R statistical software (R Foundation, Vienna, Austria). ( A ) Cytokine-related genes at 4 hours PI. ( B ) Cytokine-related genes at 24 hours PI. ( C ) IFN-related genes at 4 hours PI. ( D ) IFN-related genes at 24 hours PI.

    Article Snippet: To investigate the regulation of the host response induced by IAV infection in ATII cells, we performed global gene profiling in differentiated human ATII cells from three individuals at 4 hours and 24 hours PI with Affymetrix HG-U133 Plus 2.0 chips.

    Techniques: Microarray, Isolation, Cell Culture, Infection, Chromatin Immunoprecipitation, Software

    Correlation of Stat6 with lysosomal genes. Average expression correlations across the indicated number (n) of datasets were calculated between Stat6 and each of (A) 16,771 genes represented on Affymetrix Mouse_430_2 arrays and (F) 17,236 genes represented on HG_U133_Plus2 arrays (see Methods). Only datasets with a coefficient of variation for Stat6 expression of at least 5% were used for analyses. Genes were sorted according to correlation values, and the ranked lists were analyzed using the GSEA tool [ 57 ]. Gene set reference files in gene matrix transposed (gmt) format were generated by reformatting lists, downloaded from the AmiGO gene ontology website, containing all mouse and human GO associations (all gene product types and data sources) [ 38 ]. Complete results of GSEA and GOstats statistics are given in Additional file 8 . (A,F) Average expression correlations with Stat6 . (B,G) Running-sum enrichment scores for association with the gene set ‘lysosome’ (GO:0005764; 236 and 230 genes in mouse and human gene sets, respectively); arrows indicate the position of the maximum enrichment score and delimit the ‘leading-edge’ set of genes that account for the enrichment signal associated with the GO term ‘lysosome’ [ 57 ]. (C,H) Barcode plots indicate the positions of lysosomal genes along the rank lists. (D,I) Ranks of lysosomal genes that are positively regulated by Stat6 in IL-4 treated mouse macrophages (see Figure 5 and Additional file 9 ). (E,J) Ranks of lysosomal gene loci bound by Stat6 in mouse macrophages based on data deposited by Ostuni et al. (2013) [ 58 ] (see main text). Lines in barcode plots are drawn at 40% transparency.

    Journal: BMC Genomics

    Article Title: Reprogramming of lysosomal gene expression by interleukin-4 and Stat6

    doi: 10.1186/1471-2164-14-853

    Figure Lengend Snippet: Correlation of Stat6 with lysosomal genes. Average expression correlations across the indicated number (n) of datasets were calculated between Stat6 and each of (A) 16,771 genes represented on Affymetrix Mouse_430_2 arrays and (F) 17,236 genes represented on HG_U133_Plus2 arrays (see Methods). Only datasets with a coefficient of variation for Stat6 expression of at least 5% were used for analyses. Genes were sorted according to correlation values, and the ranked lists were analyzed using the GSEA tool [ 57 ]. Gene set reference files in gene matrix transposed (gmt) format were generated by reformatting lists, downloaded from the AmiGO gene ontology website, containing all mouse and human GO associations (all gene product types and data sources) [ 38 ]. Complete results of GSEA and GOstats statistics are given in Additional file 8 . (A,F) Average expression correlations with Stat6 . (B,G) Running-sum enrichment scores for association with the gene set ‘lysosome’ (GO:0005764; 236 and 230 genes in mouse and human gene sets, respectively); arrows indicate the position of the maximum enrichment score and delimit the ‘leading-edge’ set of genes that account for the enrichment signal associated with the GO term ‘lysosome’ [ 57 ]. (C,H) Barcode plots indicate the positions of lysosomal genes along the rank lists. (D,I) Ranks of lysosomal genes that are positively regulated by Stat6 in IL-4 treated mouse macrophages (see Figure 5 and Additional file 9 ). (E,J) Ranks of lysosomal gene loci bound by Stat6 in mouse macrophages based on data deposited by Ostuni et al. (2013) [ 58 ] (see main text). Lines in barcode plots are drawn at 40% transparency.

    Article Snippet: Abbreviations ChIP-seq: Chromatin immunoprecipitation-sequencing; ER: Endoplasmic reticulum; GO: Gene ontology; GSEA: Gene set enrichment analysis; H3K27ac: Acetylated histone H3-lysine-27; H3K4me1: monomethylated histone H3 lysine-4; HG_U133_Plus2: Affymetrix Human Genome U133 Plus 2.0 array; IL-4: Interleukin-4; IL-13: Interleukin-13; Mouse_430_2: Affymetrix mouse genome 430 2.0 array; qPCR: quantitative polymerase chain reaction; Stat6: Signal transducer and activator of transcription 6

    Techniques: Expressing, Generated