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the oligonucleotide-based microarray platform  (Agilent technologies)


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    Agilent technologies the oligonucleotide-based microarray platform
    The Oligonucleotide Based Microarray Platform, supplied by Agilent technologies, 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/oligonucleotide-based+microarray+platform/pm25499032-48-2-6
    Average 90 stars, based on 1 article reviews
    the oligonucleotide-based microarray platform - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Microarray:

    Article Title: Detection of new pathways involved in the acceptance and the utilisation of a plant-based diet in isogenic lines of rainbow trout fry
    Article Snippet: Microarray analyses were performed on an Agilent-based microarray platform with 8 X 60 K probes per slide. .. This platform is based on a high density rainbow trout oligonucleotide microarray resource, which has been enriched with oligonucleotides utilizing recent NGS data from rainbow trout [ ](Agilent Technologies, Massy, France; Gene Expression Omnibus (GEO) accession no. GPL15840). ..

    Article Title: The Transcriptome of the Reference Potato Genome Solanum tuberosum Group Phureja Clone DM1-3 516R44
    Article Snippet: .. An oligonucleotide microarray based on the Agilent microarray platform was used in a series of studies examining tuber growth and metabolism . ..

    Article Title: High Resolution Genomic Analysis of 18q- using oligo-microarray Comparative Genomic Hybridization (aCGH)
    Article Snippet: .. All samples were analyzed using an oligonucleotide microarray comparative genomic hybridization (aCGH) platform manufactured by Agilent Technologies. ..

    Article Title: Deoxyguanosine kinase deficiency presenting as neonatal hemochromatosis.
    Article Snippet: Contents lists available at ScienceDirect Molecular Genetics and Metabolism j ourna l homepage: www.e lsev ie r.com/ locate /ymgme Deoxyguanosine kinase deficiency presenting as neonatal hemochromatosis Neil A. Hanchard a, Oleg A. Shchelochkov b, Angshumoy Roy c, Joanna Wiszniewska a, Jing Wang a, Edwina J. Popek c, Saul Karpen d, Lee-Jun C. Wong a, Fernando Scaglia a,⁎ a Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX, USA b Division of Genetics, Department of Pediatrics, University of Iowa Hospitals and Clinics, Iowa City, IA, USA c Department of Pathology, Baylor College of Medicine, Houston, TX, USA d Texas Children's Hospital Liver Center, Baylor College of Medicine, Houston, TX, USA Abbreviations: NH, neonatal hemochromatosis; dGK, d ⁎ Corresponding author at: Department of Molecula College ofMedicine and Texas Children's Hospital, Clinica Fannin Street, Mail Code CC1560, Houston, TX 77030, U E-mail address: fscaglia@bcm.edu (F. Scaglia).. 1096-7192/$ – see front matter © 2011 Elsevier Inc. Al doi:10.1016/j.ymgme.2011.03.006 a b s t r a c t a r t i c l e i n f o Article history: Received 8 January 2011 Received in revised form 7 March 2011 Accepted 8 March 2011 Available online 11 March 2011 Keywords: mtDNA mtDNA depletion syndrome Neonatal liver failure Mitochondria Neonatal hemochromatosis DGUOK Mutations in DGUOK result in mitochondrial DNA (mtDNA) depletion and may present as neonatal liver failure.. Neonatal hemochromatosis (NH1) is a liver disorder of uncertain and varied etiology characterized by hepatic and non-reticuloendothelial siderosis.

    Next-Generation Sequencing:

    Article Title: Detection of new pathways involved in the acceptance and the utilisation of a plant-based diet in isogenic lines of rainbow trout fry
    Article Snippet: Microarray analyses were performed on an Agilent-based microarray platform with 8 X 60 K probes per slide. .. This platform is based on a high density rainbow trout oligonucleotide microarray resource, which has been enriched with oligonucleotides utilizing recent NGS data from rainbow trout [ ](Agilent Technologies, Massy, France; Gene Expression Omnibus (GEO) accession no. GPL15840). ..

    Gene Expression:

    Article Title: Detection of new pathways involved in the acceptance and the utilisation of a plant-based diet in isogenic lines of rainbow trout fry
    Article Snippet: Microarray analyses were performed on an Agilent-based microarray platform with 8 X 60 K probes per slide. .. This platform is based on a high density rainbow trout oligonucleotide microarray resource, which has been enriched with oligonucleotides utilizing recent NGS data from rainbow trout [ ](Agilent Technologies, Massy, France; Gene Expression Omnibus (GEO) accession no. GPL15840). ..

    Hybridization:

    Article Title: High Resolution Genomic Analysis of 18q- using oligo-microarray Comparative Genomic Hybridization (aCGH)
    Article Snippet: .. All samples were analyzed using an oligonucleotide microarray comparative genomic hybridization (aCGH) platform manufactured by Agilent Technologies. ..



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    Image Search Results


    Microarray interplatform analysis . (A) Overlap of unique and named genes shared among the 3 microarray platforms used in this study. The pool of 17070 shared genes was used for further cross-platform analysis. The total numbers of genes for each platform and for all platforms combined are indicated. (B) Overlap of significantly regulated genes at 6 h after EGF treatment considering each of the 3 microarray platforms independently.

    Journal: BMC Genomics

    Article Title: Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis

    doi: 10.1186/1471-2164-12-326

    Figure Lengend Snippet: Microarray interplatform analysis . (A) Overlap of unique and named genes shared among the 3 microarray platforms used in this study. The pool of 17070 shared genes was used for further cross-platform analysis. The total numbers of genes for each platform and for all platforms combined are indicated. (B) Overlap of significantly regulated genes at 6 h after EGF treatment considering each of the 3 microarray platforms independently.

    Article Snippet: Here we use a combined approach to study the EGF dependent transcriptome of HeLa cells by using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer.

    Techniques: Microarray

    GSEA analysis on significantly regulated gene sets across microarray platforms . Profile of the Running ES Score & Positions of Gene Set Members on the Rank Ordered List using 6 h EGF treatment data according to each of the three microarray platforms. In each panel, the vertical black lines indicate the position of each of the genes of the tested gene set in the reference data set (ranked by average of the three respective EGF versus control log2ratios of replicate experiments). The green curve plots the ES (enrichment score), which is the running sum of the weighted enrichment score obtained from GSEA software. Within each queried gene set, the farther the position of a gene to the left (red) implies a higher correlation with EGF up-regulated genes in the reference platform, and the farther to the right (blue) implies a higher correlation with genes down-regulated upon EGF treatment in the reference platform. Studied gene sets correspond to lists of up- or down-regulated genes in each platform at 6 h of EGF treatment. Significantly enriched data sets are defined according to GSEA default settings (p < 0.001 and a false discovery rate (FDR) < 0.25). R.L.M = ranked list metric.

    Journal: BMC Genomics

    Article Title: Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis

    doi: 10.1186/1471-2164-12-326

    Figure Lengend Snippet: GSEA analysis on significantly regulated gene sets across microarray platforms . Profile of the Running ES Score & Positions of Gene Set Members on the Rank Ordered List using 6 h EGF treatment data according to each of the three microarray platforms. In each panel, the vertical black lines indicate the position of each of the genes of the tested gene set in the reference data set (ranked by average of the three respective EGF versus control log2ratios of replicate experiments). The green curve plots the ES (enrichment score), which is the running sum of the weighted enrichment score obtained from GSEA software. Within each queried gene set, the farther the position of a gene to the left (red) implies a higher correlation with EGF up-regulated genes in the reference platform, and the farther to the right (blue) implies a higher correlation with genes down-regulated upon EGF treatment in the reference platform. Studied gene sets correspond to lists of up- or down-regulated genes in each platform at 6 h of EGF treatment. Significantly enriched data sets are defined according to GSEA default settings (p < 0.001 and a false discovery rate (FDR) < 0.25). R.L.M = ranked list metric.

    Article Snippet: Here we use a combined approach to study the EGF dependent transcriptome of HeLa cells by using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer.

    Techniques: Microarray, Software

    Microarray versus DGE analysis . (A) Overlap of unique and named genes shared among the 3 microarray platforms and genes detected by DGE. The pool of 14645 shared genes was used for further cross-platform analysis. The total numbers of genes for each platform and for all platforms combined are indicated. (B) Overlap of significantly regulated genes considering the 3 microarray platforms at 6 h after EGF treatment and the genes found regulated after assessing significance by grouping microarray and DGE data in a RankProd analysis. Left panels show up-regulated genes and right panels show down-regulated genes.

    Journal: BMC Genomics

    Article Title: Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis

    doi: 10.1186/1471-2164-12-326

    Figure Lengend Snippet: Microarray versus DGE analysis . (A) Overlap of unique and named genes shared among the 3 microarray platforms and genes detected by DGE. The pool of 14645 shared genes was used for further cross-platform analysis. The total numbers of genes for each platform and for all platforms combined are indicated. (B) Overlap of significantly regulated genes considering the 3 microarray platforms at 6 h after EGF treatment and the genes found regulated after assessing significance by grouping microarray and DGE data in a RankProd analysis. Left panels show up-regulated genes and right panels show down-regulated genes.

    Article Snippet: Here we use a combined approach to study the EGF dependent transcriptome of HeLa cells by using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer.

    Techniques: Microarray

    Correlation between microarrays and Illumina GA-I sequencing . (A) Comparison of estimated log2ratios from DGE ( Y -axis) and the mean of all microarray platforms ( X -axis). We consider only genes that were interrogated using all platforms and genes with a mean number of counts across lanes greater than 0. Genes with counts greater than 32 reads (colored red or green) or less than (black) 32 reads in at least one sample are shown. (Red dots) Genes called differentially expressed based on DGE data at an 10% FDR by RankProd. (Green dots) Genes not called as differentially expressed but above 32 counts. (Inset box) Correlation between technologies is higher when considering genes above the 32 count detection level (0.57) than when all genes are included (0.49). (B-C) Concordance at the top (CAT) plots of the different platforms with the 500 top genes from a reference platform, shown for Agilent in (B) and DGE in (C). See inset box for color codes identifying each platforms compared to the remaining platform used as reference. (D) Correlation plots with regression lines between log2ratios of the five high content platforms measurements (Y-axis) and quantitative real time PCR results using SYBR green assays (X-axis), based on measurements for 21 genes at the 6 h time point (see Additional file , Table S1).

    Journal: BMC Genomics

    Article Title: Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis

    doi: 10.1186/1471-2164-12-326

    Figure Lengend Snippet: Correlation between microarrays and Illumina GA-I sequencing . (A) Comparison of estimated log2ratios from DGE ( Y -axis) and the mean of all microarray platforms ( X -axis). We consider only genes that were interrogated using all platforms and genes with a mean number of counts across lanes greater than 0. Genes with counts greater than 32 reads (colored red or green) or less than (black) 32 reads in at least one sample are shown. (Red dots) Genes called differentially expressed based on DGE data at an 10% FDR by RankProd. (Green dots) Genes not called as differentially expressed but above 32 counts. (Inset box) Correlation between technologies is higher when considering genes above the 32 count detection level (0.57) than when all genes are included (0.49). (B-C) Concordance at the top (CAT) plots of the different platforms with the 500 top genes from a reference platform, shown for Agilent in (B) and DGE in (C). See inset box for color codes identifying each platforms compared to the remaining platform used as reference. (D) Correlation plots with regression lines between log2ratios of the five high content platforms measurements (Y-axis) and quantitative real time PCR results using SYBR green assays (X-axis), based on measurements for 21 genes at the 6 h time point (see Additional file , Table S1).

    Article Snippet: Here we use a combined approach to study the EGF dependent transcriptome of HeLa cells by using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer.

    Techniques: Sequencing, Microarray, Real-time Polymerase Chain Reaction, SYBR Green Assay

    Top regulated genes derived from meta-analysis . RankProd analysis of the combination of microarray and Illumina GA-I ultrasequencing data sets. Heatmap of the top 50 up and down-regulated genes detected in all four platforms ordered by Median Fold Change (all have RankProd adjusted p-values < 0.0001). IL11, IL8, PLAUR, ANXA10 and FOS were validated by RT-qPCR showing concordant results (See Additional file , Table S1). The full RankProd matrix from these experiments is accessible in Additional file , Table S5. The list of all 1164 significantly regulated genes (median |FC| > 1.2 and RankProd q-value < 0.05) is given in Additional file , Table S6.

    Journal: BMC Genomics

    Article Title: Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis

    doi: 10.1186/1471-2164-12-326

    Figure Lengend Snippet: Top regulated genes derived from meta-analysis . RankProd analysis of the combination of microarray and Illumina GA-I ultrasequencing data sets. Heatmap of the top 50 up and down-regulated genes detected in all four platforms ordered by Median Fold Change (all have RankProd adjusted p-values < 0.0001). IL11, IL8, PLAUR, ANXA10 and FOS were validated by RT-qPCR showing concordant results (See Additional file , Table S1). The full RankProd matrix from these experiments is accessible in Additional file , Table S5. The list of all 1164 significantly regulated genes (median |FC| > 1.2 and RankProd q-value < 0.05) is given in Additional file , Table S6.

    Article Snippet: Here we use a combined approach to study the EGF dependent transcriptome of HeLa cells by using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer.

    Techniques: Derivative Assay, Microarray, Quantitative RT-PCR