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human u133a u133 plus 2 0 microarray data  (Thermo Fisher)


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    Thermo Fisher human u133a u133 plus 2 0 microarray data
    Human U133a U133 Plus 2 0 Microarray Data, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/u133a+microarray+data/pmc11296390-281-9-8
    Average 86 stars, based on 1 article reviews
    human u133a u133 plus 2 0 microarray data - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    Expressing:

    Article Title: The molecular prognostic score, a classifier for risk stratification of high-grade serous ovarian cancer
    Article Snippet: .. Hence, our 20-gene expression-based mPS value, derived from Affymetrix Human U133A/U133 Plus 2.0 microarray data in TCGA and GEO repositories, is a robust and dynamic prognostic indicator. ..

    Derivative Assay:

    Article Title: The molecular prognostic score, a classifier for risk stratification of high-grade serous ovarian cancer
    Article Snippet: .. Hence, our 20-gene expression-based mPS value, derived from Affymetrix Human U133A/U133 Plus 2.0 microarray data in TCGA and GEO repositories, is a robust and dynamic prognostic indicator. ..

    Microarray:

    Article Title: The molecular prognostic score, a classifier for risk stratification of high-grade serous ovarian cancer
    Article Snippet: .. Hence, our 20-gene expression-based mPS value, derived from Affymetrix Human U133A/U133 Plus 2.0 microarray data in TCGA and GEO repositories, is a robust and dynamic prognostic indicator. ..



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    Expression of the metagene clusters in immunological cell types. (a) The 199 ProbeSets from Figure 1a were used to cluster 44 samples of isolated cells and tissues with immune-system-related functions that were profiled on Affymetrix U133A arrays by Su and colleagues [GEO:GSE1133] . In each case, two samples for the following cell/tissue types are presented from left to right: fetal liver (1,2), K-562 (3,4), whole blood (5,6), CD33 myeloid (7,8), CD14 monocytes (9,10), CD34 (11,12), B lymphoblasts (13,14), CD56 natural killer cells (15,16), CD4 T cells (17,18), CD8 T cells (19,20), MOLT-4 (21,22), Raji (23,24), HL-60 (25,26), Daudi (27,28), CD105 (29,30), CD71 (31,32), BDCA4 dendritic cells (33,34), CD19 B cells (35,36), thymus (37,38), tonsil (39,40), lymph node (41,42), bone marrow (43,44). Details about the respective samples are given in Additional data file . HCK, hemopoietic cell kinase; LCK, lymphocyte-specific kinase; MHC, major histocompatibility complex; STAT1, signal transducer and activator of transcription 1. (b) Representation of the seven metagenes that were derived from the 199 ProbeSets as in Figure 1b.

    Journal: Breast Cancer Research : BCR

    Article Title: T-cell metagene predicts a favorable prognosis in estrogen receptor-negative and HER2-positive breast cancers

    doi: 10.1186/bcr2234

    Figure Lengend Snippet: Expression of the metagene clusters in immunological cell types. (a) The 199 ProbeSets from Figure 1a were used to cluster 44 samples of isolated cells and tissues with immune-system-related functions that were profiled on Affymetrix U133A arrays by Su and colleagues [GEO:GSE1133] . In each case, two samples for the following cell/tissue types are presented from left to right: fetal liver (1,2), K-562 (3,4), whole blood (5,6), CD33 myeloid (7,8), CD14 monocytes (9,10), CD34 (11,12), B lymphoblasts (13,14), CD56 natural killer cells (15,16), CD4 T cells (17,18), CD8 T cells (19,20), MOLT-4 (21,22), Raji (23,24), HL-60 (25,26), Daudi (27,28), CD105 (29,30), CD71 (31,32), BDCA4 dendritic cells (33,34), CD19 B cells (35,36), thymus (37,38), tonsil (39,40), lymph node (41,42), bone marrow (43,44). Details about the respective samples are given in Additional data file . HCK, hemopoietic cell kinase; LCK, lymphocyte-specific kinase; MHC, major histocompatibility complex; STAT1, signal transducer and activator of transcription 1. (b) Representation of the seven metagenes that were derived from the 199 ProbeSets as in Figure 1b.

    Article Snippet: Affymetrix HG-U133A microarray data of 1,781 primary breast cancer samples from 12 datasets were included.

    Techniques: Expressing, Isolation, Derivative Assay