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microarray raw files  (Agilent technologies)


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    Agilent technologies microarray raw files
    Microarray Raw Files, 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/microarray+raw+files/pmc05225309-307-2-1
    Average 90 stars, based on 1 article reviews
    microarray raw files - by Bioz Stars, 2026-11
    90/100 stars

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    Microarray:

    Article Title: An mRNA Gene Expression–Based Signature to Identify FGFR1 -Amplified Estrogen Receptor–Positive Breast Tumors
    Article Snippet: .. The Agilent microarray raw files and the normalized gene expression data of the whole transcriptomes of the discovery cohort were deposited in the Gene Expression Omnibus ( http://www.ncbi.nlm.nih.gov/geo ) under the accession number GSE77626 . ..

    Gene Expression:

    Article Title: An mRNA Gene Expression–Based Signature to Identify FGFR1 -Amplified Estrogen Receptor–Positive Breast Tumors
    Article Snippet: .. The Agilent microarray raw files and the normalized gene expression data of the whole transcriptomes of the discovery cohort were deposited in the Gene Expression Omnibus ( http://www.ncbi.nlm.nih.gov/geo ) under the accession number GSE77626 . ..



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    Image Search Results


    Gene expression dataset . A) The gene expression dataset analyzed comprises cell samples from different levels of myeloid differentiation process (stem/progenitor cells, precursors and terminally differentiated cells). The graph describes relationships between the cellular contexts analyzed within myeloid differentiation tree. For each cell type, the number of samples examined with independent microarray experiments is indicated in brackets. B) Dendrogram obtained by unsupervised hierarchical clustering on gene expression data matrix. Pearson correlation and average were used as similarity measure and linking method, respectively.

    Journal: BMC Genomics

    Article Title: Genomic expression during human myelopoiesis

    doi: 10.1186/1471-2164-8-264

    Figure Lengend Snippet: Gene expression dataset . A) The gene expression dataset analyzed comprises cell samples from different levels of myeloid differentiation process (stem/progenitor cells, precursors and terminally differentiated cells). The graph describes relationships between the cellular contexts analyzed within myeloid differentiation tree. For each cell type, the number of samples examined with independent microarray experiments is indicated in brackets. B) Dendrogram obtained by unsupervised hierarchical clustering on gene expression data matrix. Pearson correlation and average were used as similarity measure and linking method, respectively.

    Article Snippet: In particular, raw microarray data (Affymetrix .CEL files) were obtained for a total of 24 samples from 8 different cell types of all myelopoietic lineages, representing a reference dataset for a comprehensive analysis of genomic expression during cell differentiation.

    Techniques: Expressing, Microarray

    Genetic deletion of SphK1 reduced CLDN2 in HER2/neu-induced mice breast tumors. (A) Whole genome expression profile evaluated by microarray analysis assessed the expression of 39000 gene transcripts. Gene expression microarray heatmap (n = 2 per group) of dysregulated genes. (B) Twenty molecules with the most significant expression changes (10 up-regulation and 20 down-regulation) between SphK1+/+ and SphK1−/− tumors are shown. (C) CLDN2 mRNA expression in tumors from SphK1+/+ and SphK1−/− mice was confirmed by qRT-PCR analysis and analyzed by unpaired t-test. ****P ≤ 0.0001 vs. SphK1+/+. (D) Representative paraffin-tumor sections immunostained for CLDN2 in tumors from SphK1+/+ and SphK1−/− mice (P = 0.1339).

    Journal: Carcinogenesis

    Article Title: Genetic deletion of sphingosine kinase 1 suppresses mouse breast tumor development in an HER2 transgenic model

    doi: 10.1093/carcin/bgx097

    Figure Lengend Snippet: Genetic deletion of SphK1 reduced CLDN2 in HER2/neu-induced mice breast tumors. (A) Whole genome expression profile evaluated by microarray analysis assessed the expression of 39000 gene transcripts. Gene expression microarray heatmap (n = 2 per group) of dysregulated genes. (B) Twenty molecules with the most significant expression changes (10 up-regulation and 20 down-regulation) between SphK1+/+ and SphK1−/− tumors are shown. (C) CLDN2 mRNA expression in tumors from SphK1+/+ and SphK1−/− mice was confirmed by qRT-PCR analysis and analyzed by unpaired t-test. ****P ≤ 0.0001 vs. SphK1+/+. (D) Representative paraffin-tumor sections immunostained for CLDN2 in tumors from SphK1+/+ and SphK1−/− mice (P = 0.1339).

    Article Snippet: Partek pre-processes raw intensity files from microarray experiment using GCRMA’s background subtraction and uses quantile normalization as the normalization technique.

    Techniques: Expressing, Microarray, Gene Expression, Quantitative RT-PCR

    SphK1 and CLDN2 levels are increased in HER2-positive breast cancers in humans. Tissue microarray containing breast cancer samples from 92 HER2-positive breast cancer patients and matched adjacent normal breast tissues (n = 34) are stained for SphK1 and CLDN2. Staining were scored based on the intensity (0–3) and proportion (0–3), and the total scores were used for the analysis. [(A) and (B)] SphK1 and CLDN2 expressions were compared with pathological features including grade, stage and hormone receptor status. [(C) and (D)] Representative image of high, moderate and low SphK1 and CLDN2 expressing tumors.

    Journal: Carcinogenesis

    Article Title: Genetic deletion of sphingosine kinase 1 suppresses mouse breast tumor development in an HER2 transgenic model

    doi: 10.1093/carcin/bgx097

    Figure Lengend Snippet: SphK1 and CLDN2 levels are increased in HER2-positive breast cancers in humans. Tissue microarray containing breast cancer samples from 92 HER2-positive breast cancer patients and matched adjacent normal breast tissues (n = 34) are stained for SphK1 and CLDN2. Staining were scored based on the intensity (0–3) and proportion (0–3), and the total scores were used for the analysis. [(A) and (B)] SphK1 and CLDN2 expressions were compared with pathological features including grade, stage and hormone receptor status. [(C) and (D)] Representative image of high, moderate and low SphK1 and CLDN2 expressing tumors.

    Article Snippet: Partek pre-processes raw intensity files from microarray experiment using GCRMA’s background subtraction and uses quantile normalization as the normalization technique.

    Techniques: Microarray, Staining, Expressing