管家基因

用于对相对基因表达图谱分析实验进行归一化处理

在 GeneGlobe 配置

寻找或定制设计合适的靶标特异性检测和组合，以研究您感兴趣的生物靶标。

RT² Profiler PCR Array

Cat. No. / ID: 330231

RT² Profiler PCR Array

在 GeneGlobe 配置要查看价格

在 GeneGlobe 配置

管家基因旨在用于分子生物学应用。这些产品不能用于疾病诊断、预防和治疗。

在 GeneGlobe 配置

寻找或定制设计合适的靶标特异性检测和组合，以研究您感兴趣的生物靶标。

特点

程序简单，可快速识别稳定的内参基因
集成的在线数据分析使选择变得简单
有 96 孔板和 384 孔板或 100 环盘可供选择

产品详情

RT² Profiler Array 管家基因 PCR 阵列用于筛选潜在的归一化基因，以用于 real-time PCR 分析。管家基因编码的蛋白质通常是维持细胞功能所必需的，在大多数实验条件下通常保持不变。有了这个阵列，您就可以使用基于 SYBR 绿色的 qPCR 技术，轻松分析八 (8) 个样品中十二 (12) 个常用管家基因的表达情况。

绩效

有保障的系统

RT² Profiler PCR Array 经过测试和优化，可与 RT² SYBR^® Green qPCR Mastermix 和 RT² First Strand Kit 结合使用。这项测试意味着，当这三种成分一起使用时，RT² Profiler PCR Array 的性能是有保证的。

灵敏度

使用 RT² First Strand Kit 时，每个样品的总 RNA 量可低至 1 ng 或高至 5 µg。

重复性

完整的 PCR 阵列系统在不同技术重复、批次和仪器之间具有很强的相关性，平均相关系数大于 0.99，可确保可靠地检测生物样品之间的表达差异。

特异性

PCR 阵列系统使用高品质的输入 RNA，可产生预测大小的单个条带，没有引物二聚体或其他次级产物，因此可提供高度准确的 real-time PCR 结果。

统一的 PCR 扩增效率

PCR 阵列技术需要统一的 PCR 扩增效率，才能准确比较所有基因和所有样品的基因表达情况。我们独有的引物设计算法与对每种引物检测的严格测试相结合，保证了 PCR 阵列上每种引物检测的高性能。

原理

RT² Profiler PCR Array 是分析重点基因组合表达的可靠工具。每个 96 孔板、384 孔板或 100 孔圆盘 PCR 阵列都包含 SYBR Green 优化引物检测，用于全面研究相关基因、通路基因或疾病基因。RT² Profiler PCR Array 还可根据您的特定研究兴趣定制基因组合。高品质的引物设计和 RT² SYBR Green qPCR Mastermix 配方使 PCR 阵列能在统一的循环条件下同时扩增 96 或 384 个不同的基因特异性产物。

这种组合为 RT² Profiler PCR Array 提供了准确的实时 SYBR Green 结果所需的特异性和高扩增效率。PCR 阵列易于在任何研究实验室中使用。

RT² Profiler PCR Array 灵敏度高，可用于常规样品 (0.1–5 µg RNA)、FFPE 样品和小样品 (1–100 ng RNA) 制备的 RNA。

程序

只需将 cDNA 模板与相应的即用型 PCR Mastermix 混合，等量分装到同一平板的每个孔中，然后运行 real-time PCR 循环程序即可。RT² Profiler PCR Array 与所有 QIAGEN、ABI、Bio-Rad、Eppendorf、Roche 和 Stratagene 仪器兼容。

灵活的布局和控制

RT² Profiler PCR Array 有 96 孔板、384 孔板和 100 孔圆盘格式，用于监测与疾病状态或通路相关的 84 或 370 个基因以及 5 个管家基因的表达。每个 RT² Profiler PCR Array 还包括用于以下目的的对照元件：

数据归一化
基因组 DNA 污染检测
RNA 样品质量
一般 PCR 性能

易于使用的数据分析

可使用易于使用的基于 Excel 的数据分析模板或基于 Web 的软件进行数据分析。数据分析基于 ΔΔC_T 方法，并将原始数据归一化为管家基因。

应用

RT²PCR Profiler 阵列可用于生物和医学研究的所有领域，包括

癌症炎症和细胞因子谱图分析
干细胞
神经科学
信号转导途径
细胞粘附和细胞迁移
生物标记筛选和验证

资源

Simultaneously profile mRNA, miRNA and lncRNA using a simple, complete workflow

Download Safety Data Sheets for QIAGEN product components.

For analyzing gene expression data from RT2 Profiler PCR Arrays

Data analysis file for RT² ProfilerRT² Profiler™ PCR Array RT2 RNA QC
Catalog number- 330231
Pathway number- PAXX-999

Poster for download

For pathway-focused gene expression profiling using real-time RT-PCR

For gene expression and genomic analysis

For pathway-focused gene expression analysis

FAQ

The best way to set the threshold is to make sure that your PPC values are between 18 and 22. I would look my first PCR Array, set it so that the PPC is at 20, and see if the same threshold fits for the rest of the arrays.

FAQ ID -2705

Each PCR Array has 5 housekeeping genes. You can use one or an average of the most stable ones to do data analysis.

FAQ ID -2704

There are less than a dozen genes encoded by the mitochondrial genome (all other mitochondrial proteins are encoded by nuclear genes), and they are all transcribed as one transcript (just like any prokaryote), so distinguishing the expression of individual genes by real-time RT-PCR is not possible.

FAQ ID -2680

The RT² Profiler PCR Array is a 96-/384-well plate or 100-well disc that contains gene-specific Primer Assays for a thoroughly researched set of relevant, pathway- or disease-focused genes. It simultaneously profiles the expression of 84 pathway-specific genes, and five housekeeping genes. Each RT² Profiler PCR Array also includes a Genomic DNA Control (GDC) assay, triplicate Reverse Transcription Controls (RTC), and triplicate Positive PCR Controls (PPC).

FAQ ID -2718

If you are unsure of the correct housekeeping gene(s), review the literature and technical information in your field to determine which gene(s) other researchers commonly use. It is recommended that multiple housekeeping genes be utilized for each gene expression experiment, to account for any impact that an experimental condition may have on the expression of an individual housekeeping gene. For a systematic assessment of which housekeeping genes are appropriate for your specific experimental conditions, we recommend using the Housekeeping Genes RT2 Profiler PCR Arrays for human (330231 PAHS-000), mouse (330231 PAMM-000), or rat (330231 PARN-000). These arrays consist of 8 sets of 12 common housekeeping genes. They are a valuable tool for easily identifying genes with a constant level of expression among your different experimental conditions.

FAQ ID -2674

Be sure to carefully and completely seal the qPCR assay plate with fresh, optical, thin-wall, 8-cap strips or adhesive optical film before the plate is placed into the real-time cycler. In addition, refer to your instrument's user's manual to determine whether the real-time cycler manufacturer recommends use of a plate compression pad during the run.

FAQ ID -2679

No. Data Analysis can be done with a little as 2 PCR Arrays. Whether or not you run a sample in triplicate is determined by experimental setup and what you are going to use the data for.

FAQ ID -2703

With the additional RT2 PreAMP methodology, only 1 ng of RNA is now needed for PCR Array analysis. Pooling RNA from different sources should only be done when there is not enough sample. We recommend running biological replicates.

FAQ ID -2663

Any DNA contamination will artificially inflate the SYBR Green signal, yielding skewed gene expression profiles and false-positive signals. The most common source of DNA contamination is from PCR products generated during previous experiments. Such contamination is most often due to the improper disposal of tubes, tips, and gels that previously came into contact with PCR products. Additionally, PCR products may also contaminate pipettors, racks, work pads, and commonly used reagents such as water and buffers. To minimize the risk of contaminating your experiment with extraneous DNA, the following steps should be taken:

Remove a single aliquot of water from your PCR-grade stock, sufficient to complete the experiment. This minimizes the number of times that the stock container is opened, thereby minimizing contamination risks.
Use only fresh PCR-grade reagents and disposable labware.
Treat any labware (tubes, tips, and tip boxes) used in PCR with 10% bleach, before discarding.
Maintain a dedicated workspace for PCR setup (perhaps a PCR-only hood), away from areas of the lab where post-PCR work is done, such as running gels, enzyme digestions, and cloning.
Change the lab bench pads/papers often and decontaminate lab benches and labware (racks, pipettors, etc.) before each use by washing with 10% bleach, and/or exposing to UV light for at least 10 minutes. This serves to degrade and/or inactivate contaminating DNA.
Before, during, and after the experiment, minimize the opening and closing of any tubes or plates used during the experiment.

FAQ ID -2654

For real-time detection, the RT² Profiler PCR Array is currently available for most QIAGEN, ABI, BioRad, Eppendorf, Stratagene, TaKaRa, Fluidigm, Cepheid, and Roche real-time instruments. Please refer to the link below, to determine which RT² Profiler PCR Array plate format is compatible with your instrument.

http://www.sabiosciences.com/manuals/PCRArrayGuide.pdf

FAQ ID -2719

The 3 most common negative controls included in a qPCR and/or qRT-PCR experiment are as follows:

1. A no template control (NTC) omits any DNA or RNA template from a reaction, and serves as a general control for extraneous nucleic acid contamination. When using SYBR Green chemistry, this also serves as an important control for primer dimer formation. Within the RT2 Profiler PCR Arrays, the GDC well also serves as a no template control, as this assay is designed to detect Genomic DNA.

2. A no reverse transcriptase control (NRT) or minus reverse transcriptase control (MRT) involves carrying out the reverse transcription step of a qRT-PCR experiment in the absence of reverse transcriptase. This control assesses the amount of DNA contamination present in an RNA preparation.

3. A no amplification control (NAC) omits the DNA polymerase from the PCR reaction. This is a control for background fluorescence that is not a function of the PCR. Such fluorescence is typically attributable to the use of a degraded, dual-labeled probe. This control is unnecessary when utilizing SYBR-Green probe chemistries.

FAQ ID -2672

There is no need to run a standard curve before doing the RT2 PCR Array experiment. Usually we recommend starting with 1000 ng total RNA for a 96-well PCR array.

FAQ ID -2664

We recommend the use of RNeasy Mini Kits. Cultured cells, and freshly isolated white blood cells, may be harvested by centrifugation, and used directly with this kit. For the isolation of high-quality RNA from animal tissues, we recommend RNeasy Plus Universal Kit.

FAQ ID -2657

The qBiomarker PCR Arrays contain gene lists that have been biologically validated and selected to measure the expression of a limited number of genes that are highly predictive for a biological process. Each qBiomarker PCR Array is designed to analyze multiple samples on the same 96-well or 384-well PCR plate. These arrays are best suited for screening and validation applications for a specific biological process. In contrast, the RT2 Profiler PCR Arrays typically have 84 pathway focused genes which are selected based on a different bioinformatic process and are best suited for gene expression profiling applications where a relative fold change result, and not a predictive answer, is necessary.

FAQ ID -2438

Assuming 100% amplification efficiency, each step increase in Ct value represents a doubling in the amount of qPCR template. Therefore, evaluating the difference in Ct values between the qPCR assay, and its matching NRT control, leads to the following predictions:

CtNRT - Ct+RT	Fraction of gene expression signal due to contaminating DNA	Percentage of gene expression signal due to contaminating DNA
1	(1/21) = 1/2	50%
2	(1/22) = 1/4	25%
3	(1/23) = 1/8	13%
4	(1/24) = 1/16	6%
5	(1/25) = 1/32	3%

FAQ ID -2688

The most rigorous method to detect genomic DNA contamination, particularly with the RT² qPCR Primer Assays, is to perform a No Reverse Transcriptase (NRT) control. The PCR will have no cDNA template derived from mRNA, and any detectable product could only have been derived from genomic DNA contamination.

FAQ ID -2687

You may be using too much template. Use less input total RNA for reverse transcription, or use template at a greater dilution factor (lower concentration). Do not pipet a volume of less than 1 μl.

FAQ ID -2684

Dissociation curves are carried out at the end of a PCR experiment by following a 3-step procedure.

First, all the components are denatured at 95°C, followed by complete annealing at a set temperature (based on the primer Tm values), followed by a gradual increase in temperature up to 95°C. Fluorescence intensity is monitored during this final temperature increase, resulting in the generation of a melting curve or dissociation curve.

By analyzing the first derivative of such a curve, you can readily assess the homogeneity of the PCR products, including the presence of primer–dimers, thereby determining the specificity of the PCR reaction. It is important to carry out such post-PCR analyses when using SYBR Green probe chemistry due to this reagent's lack of sequence specificity.

FAQ ID -2678

It is critical to include appropriate positive controls in a qPCR experiment to determine if false negatives are being detected in the experiment. Positive controls fall into one of 2 classes.

1. Exogenous positive controls refer to the use of external DNA or RNA carrying a target of interest. If these positive controls are assayed in separate wells/tubes from the experimental sample, they serve as a control to determine whether or not the reverse transcription and/or PCR reaction conditions are optimal. Additionally, exogenous DNA or RNA positive controls may be spiked into the experimental sample(s), and assayed in parallel or in a multiplex format with, the target of interest. These control reactions assess whether the samples contain any components that inhibit reverse transcription and/or PCR.

2. Endogenous positive controls refer to the use of a native target that is present in the experimental sample(s) of interest, but is different from the target under study. These types of controls are often referred to as normalizers, and are typically used to correct for quantity and quality differences between samples.

Within the RT2 Profiler PCR Arrays, the Positive PCR Control (PPC) wells contain a plasmid with a primer assay that detects a sequence it produces. This allows for quick confirmation of the performance of the PCR steps.

The RTC wells include assays that detect the artificial RNA that is spiked in to each sample during the cDNA synthesis step. This ensures the Reverse Transcription step proceeded as needed.

FAQ ID -2673

The Reverse transcription control requires that the reverse transcription is done with the RT² first strand kit. No other cDNA synthesis method can use this control.

FAQ ID - 3534

18S ribosomal RNA is a widely used control for qRT-PCR analyses because of its invariant expression across tissues, cells, and experimental treatments. However, due to its extremely high expression in most cell types, it can sometimes be challenging to use 18S rRNA as an endogenous normalizer for several gene expression assays in the same reaction.

FAQ ID -2675

You can manually set the threshold line. If you are using a catalogued PCR Array, the PPC values should be 20 +/- 2 Cts. Use the same threshold on all of your PCR Arrays.

FAQ ID -2702

The Rn value, or normalized reporter value, is the fluorescent signal from SYBR Green normalized to (divided by) the signal of the passive reference dye for a given reaction. The delta Rn value is the Rn value of an experimental reaction minus the Rn value of the baseline signal generated by the instrument. This parameter reliably calculates the magnitude of the specific signal generated from a given set of PCR conditions. For more information, please refer to your cycler's user manual.

FAQ ID -2681

We determine the amplification efficiency during wet bench testing of our assays using standard curve dilutions, or by single curve analysis. If you would like to calculate the efficiency of each curve using single curve analysis, then you can try Real-Time PCR Miner, LinReg or Dart PCR. Each of these can be found using a GOOGLE search.

FAQ ID -2701

Yes, all you need to do is to organize your data into a “custom PCR Array” file. When you upload it to the website, use the custom PCR array name CUSTOM. The locations of the blank excel spreadsheet is: http://www.sabiosciences.com/pcrarraydataanalysis.php#custom

FAQ ID -2698