Review



human genome u133 plus 2.0 microarray platform  (Thermo Fisher)


Bioz Verified Symbol Thermo Fisher is a verified supplier
Bioz Manufacturer Symbol Thermo Fisher manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 90

    Structured Review

    Thermo Fisher human genome u133 plus 2.0 microarray platform
    Human Genome U133 Plus 2.0 Microarray Platform, supplied by Thermo Fisher, 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/result/human genome u133 plus 2.0 microarray platform/product/Thermo Fisher
    Average 90 stars, based on 1 article reviews
    human genome u133 plus 2.0 microarray platform - by Bioz Stars, 2026-03
    90/100 stars

    Images



    Similar Products

    90
    Thermo Fisher human genome u133 plus 2.0 microarray platform
    Human Genome U133 Plus 2.0 Microarray Platform, supplied by Thermo Fisher, 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/result/human genome u133 plus 2.0 microarray platform/product/Thermo Fisher
    Average 90 stars, based on 1 article reviews
    human genome u133 plus 2.0 microarray platform - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    90
    Thermo Fisher gpl570 microarray platform human genome u133 plus 2.0 array
    Characteristics of the included datasets.
    Gpl570 Microarray Platform Human Genome U133 Plus 2.0 Array, supplied by Thermo Fisher, 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/result/gpl570 microarray platform human genome u133 plus 2.0 array/product/Thermo Fisher
    Average 90 stars, based on 1 article reviews
    gpl570 microarray platform human genome u133 plus 2.0 array - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    90
    Thermo Fisher genechip human genome u133 plus 2.0 microarray platform
    Genes associated with oxidative phosphorylation (mitochondria function). a Enrichment plot of KEGG_Oxidative phosphorylation gene set identified by GSEA. Middle section (black bars) illustrate the position of the genes belonging to the gene set in the context of all the genes on the Affymetrix <t>U133</t> plus 2.0 array. The enrichment score (ES) plotted as a function of the position within the ranked list of array genes is shown as a green line. The ranked list metric shown in gray illustrates the correlation between the signal to noise values of all individually ranked genes according to the neutrophil samples of the ‘before’ and ‘after’ tocilizumab treatment (experimental conditions). b on the left is GSEA-derived heat map of the 110 leading edge genes that correlates with response to tocilizumab and contributing to the enrichment score; on the right is the top 20 genes that includes some of the genes mapped by IPA to mitochondria dysfunction pathway (in red asterisks). Signal intensities are illustrated by varying shades of red (increased) and blue (decreased). c Quantitative real-time polymerase chain reaction (qRT-PCR) validation of differentially expressed genes ( NDUFB2 , COX6C , LAT ) observed in this microarray experiment. The relative fold change of both microarray (solid bar) and qRT-PCR (open bars) are shown. The data for qRT-PCR are the average of 3 independent experiments done on the same sample
    Genechip Human Genome U133 Plus 2.0 Microarray Platform, supplied by Thermo Fisher, 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/result/genechip human genome u133 plus 2.0 microarray platform/product/Thermo Fisher
    Average 90 stars, based on 1 article reviews
    genechip human genome u133 plus 2.0 microarray platform - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    Image Search Results


    Characteristics of the included datasets.

    Journal: Journal of Oncology

    Article Title: Identifying Stage II Colorectal Cancer Recurrence Associated Genes by Microarray Meta-Analysis and Building Predictive Models with Machine Learning Algorithms

    doi: 10.1155/2021/6657397

    Figure Lengend Snippet: Characteristics of the included datasets.

    Article Snippet: The majority of the datasets adopted the GPL570 microarray platform (Affymetrix Human Genome U133 Plus 2.0 Array), and 1 dataset adopted the GPL5175 microarray platform (Affymetrix Human Exon 1.0 ST Array), as shown in .

    Techniques: Microarray

    Genes associated with oxidative phosphorylation (mitochondria function). a Enrichment plot of KEGG_Oxidative phosphorylation gene set identified by GSEA. Middle section (black bars) illustrate the position of the genes belonging to the gene set in the context of all the genes on the Affymetrix U133 plus 2.0 array. The enrichment score (ES) plotted as a function of the position within the ranked list of array genes is shown as a green line. The ranked list metric shown in gray illustrates the correlation between the signal to noise values of all individually ranked genes according to the neutrophil samples of the ‘before’ and ‘after’ tocilizumab treatment (experimental conditions). b on the left is GSEA-derived heat map of the 110 leading edge genes that correlates with response to tocilizumab and contributing to the enrichment score; on the right is the top 20 genes that includes some of the genes mapped by IPA to mitochondria dysfunction pathway (in red asterisks). Signal intensities are illustrated by varying shades of red (increased) and blue (decreased). c Quantitative real-time polymerase chain reaction (qRT-PCR) validation of differentially expressed genes ( NDUFB2 , COX6C , LAT ) observed in this microarray experiment. The relative fold change of both microarray (solid bar) and qRT-PCR (open bars) are shown. The data for qRT-PCR are the average of 3 independent experiments done on the same sample

    Journal: Pediatric Rheumatology Online Journal

    Article Title: Mitochondrial and oxidative stress genes are differentially expressed in neutrophils of sJIA patients treated with tocilizumab: a pilot microarray study

    doi: 10.1186/s12969-016-0067-7

    Figure Lengend Snippet: Genes associated with oxidative phosphorylation (mitochondria function). a Enrichment plot of KEGG_Oxidative phosphorylation gene set identified by GSEA. Middle section (black bars) illustrate the position of the genes belonging to the gene set in the context of all the genes on the Affymetrix U133 plus 2.0 array. The enrichment score (ES) plotted as a function of the position within the ranked list of array genes is shown as a green line. The ranked list metric shown in gray illustrates the correlation between the signal to noise values of all individually ranked genes according to the neutrophil samples of the ‘before’ and ‘after’ tocilizumab treatment (experimental conditions). b on the left is GSEA-derived heat map of the 110 leading edge genes that correlates with response to tocilizumab and contributing to the enrichment score; on the right is the top 20 genes that includes some of the genes mapped by IPA to mitochondria dysfunction pathway (in red asterisks). Signal intensities are illustrated by varying shades of red (increased) and blue (decreased). c Quantitative real-time polymerase chain reaction (qRT-PCR) validation of differentially expressed genes ( NDUFB2 , COX6C , LAT ) observed in this microarray experiment. The relative fold change of both microarray (solid bar) and qRT-PCR (open bars) are shown. The data for qRT-PCR are the average of 3 independent experiments done on the same sample

    Article Snippet: RNA was extracted and gene expression profiling was performed using Affymetrix GeneChip Human Genome U133 Plus 2.0 microarray platform.

    Techniques: Derivative Assay, Real-time Polymerase Chain Reaction, Quantitative RT-PCR, Microarray