RT² Profiler PCR Array: Technology Overview

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September 22, 2011

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  • RT2 Profiler PCR Arrays enable gene expression profiling of hundreds of pathways and diseases in
    any lab with a real-time PCR cycler. Free data analysis tools simplify interpretation of results.

    Gene expression profiling in pathway and disease research using RT² Profiler PCR Arrays
    Real-time RT-PCR is a highly sensitive and reliable method for gene expression analysis. Its wide
    dynamic range makes real-time RT-PCR the preferred choice for the simultaneous quantification of
    both rare and abundant genes in the same sample. RT2 Profiler PCR Arrays take advantage of the
    combination of real-time PCR performance and the ability of microarrays to detect the expression of
    many genes simultaneously. RT2 Profiler PCR Arrays are designed to analyze a panel of genes
    related to a disease state or biological pathway. RT2 Profiler PCR Arrays are especially suitable for
    researchers who are more familiar with or prefer real-time RT-PCR technology but are looking for the
    multigene profiling capabilities of a microarray. RT2 Profiler PCR Arrays, RT2 SYBR® Green
    Mastermixes, and the RT2 First Strand Kit have been optimized in combination for SYBR Greenbased,
    real-time RT-PCR detection, providing RT2 Profiler PCR Arrays with high sensitivity and wide
    linear dynamic ranges. The simplicity of RT2 Profiler PCR Arrays makes them accessible for routine
    use in every research laboratory.
    RT² Profiler PCR Array procedure
    The procedure begins with the conversion of experimental RNA samples into first-strand cDNA using
    the RT2 First Strand Kit. Next, the cDNA is mixed with an appropriate RT2 SYBR Green Mastermix.
    This mixture is aliquoted into the wells of the RT2 Profiler PCR Array. PCR is performed and finally
    relative expression is determined using data from the real-time cycler. Free Web-based software for
    analysis of data from RT2 Profiler PCR Arrays allows conversion of raw data to graphics with a few
    mouse clicks, enabling easy interpretation of results. For quick and effortless data analysis, raw CT
    data and the array catalog number can be uploaded and ΔΔCT based fold-change calculations are
    automatically performed. The tool also interprets control data, and scatter, volcano, multi-group plots,
    and clustergrams can be generated.

    Analytical TechniquesGenomicsInformaticsMolecular Biology

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