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-019118 human mirna microarray 2.0 platform  (Agilent technologies)


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    Agilent technologies -019118 human mirna microarray 2.0 platform
    Clinicopathological characteristics of TNBC patients in this study.
    019118 Human Mirna Microarray 2.0 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/human+mirna+microarray+platform/pmc07392022-72-7-7
    Average 90 stars, based on 1 article reviews
    -019118 human mirna microarray 2.0 platform - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse"

    Article Title: A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse

    Journal: Theranostics

    doi: 10.7150/thno.46142

    Clinicopathological characteristics of TNBC patients in this study.
    Figure Legend Snippet: Clinicopathological characteristics of TNBC patients in this study.

    Techniques Used: Preserving, Sequencing, Microarray

    Related Articles

    Microarray:

    Article Title: A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse
    Article Snippet: The GEOD-40525 dataset was based on an Agilent-019118 Human miRNA Microarray 2.0 platform (n=8).

    Preserving:

    Article Title: A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse
    Article Snippet: The GEOD-40525 dataset was based on an Agilent-019118 Human miRNA Microarray 2.0 platform (n=8).

    Sequencing:

    Article Title: A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse
    Article Snippet: The GEOD-40525 dataset was based on an Agilent-019118 Human miRNA Microarray 2.0 platform (n=8).



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    Image Search Results


    Clinicopathological characteristics of TNBC patients in this study.

    Journal: Theranostics

    Article Title: A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse

    doi: 10.7150/thno.46142

    Figure Lengend Snippet: Clinicopathological characteristics of TNBC patients in this study.

    Article Snippet: The GEOD-40525 dataset was based on an Agilent-019118 Human miRNA Microarray 2.0 platform (n=8).

    Techniques: Preserving, Sequencing, Microarray

    We confirmed the gene expression levels of miRNAs using real-time qPCR. We analyzed the expression of 7 miRNAs (hsa-miR-223, hsa-miR-365 hsa-miR-424, and hsa-miR-451, hsa-miR-144, hsa-miR-500 and hsa-miR-21*) selected from the microarray data by qPCR. The 2 −ΔΔCT method was used to normalize the relative gene expression data in the qPCR assay. U6 snRNA was set as the reference gene. The miRNA expression value in one subject with LTBI was normalized to 1. Statistical analysis was performed using the unpaired t-test. ** P <0.01, * P <0.05, NS: not significant.

    Journal: PLoS ONE

    Article Title: Comparative miRNA Expression Profiles in Individuals with Latent and Active Tuberculosis

    doi: 10.1371/journal.pone.0025832

    Figure Lengend Snippet: We confirmed the gene expression levels of miRNAs using real-time qPCR. We analyzed the expression of 7 miRNAs (hsa-miR-223, hsa-miR-365 hsa-miR-424, and hsa-miR-451, hsa-miR-144, hsa-miR-500 and hsa-miR-21*) selected from the microarray data by qPCR. The 2 −ΔΔCT method was used to normalize the relative gene expression data in the qPCR assay. U6 snRNA was set as the reference gene. The miRNA expression value in one subject with LTBI was normalized to 1. Statistical analysis was performed using the unpaired t-test. ** P <0.01, * P <0.05, NS: not significant.

    Article Snippet: MiRNA microarray assays were performed using the Agilent Human miRNA microarray platform (version 3, Agilent Technologies) at Shanghai Biochip Co., Ltd. (Shanghai, China).

    Techniques: Expressing, Microarray