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Pcr array data analysis web portal

Manufactured by Qiagen
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The PCR Array Data Analysis Web Portal is a software tool that enables the analysis and interpretation of data generated from PCR array experiments. The core function of this portal is to provide users with a platform to upload, process, and visualize their PCR array data.

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26 protocols using pcr array data analysis web portal

1

Quantitative Real-Time PCR Analysis

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Total RNA was extracted with Trizol (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions. cDNAs were prepared using the iScript™ cDNA Synthesis kit (Bio-Rad, Hercules, CA, USA). PCR primers (BioTNT, Shanghai, China) used for RT-PCR were as follows: human pro-IL-37: forward 5′-AGTGAGGTCAGCGATTAGGA-3′ and reverse 5′-TTTTAGTGAGCAGGTTTGGT-3′; human β-actin: forward 5′-CCACGAAACTACCTTCAACTCC-3′, and reverse 5′-GTGATCTCCTTCTGCATCCTGT-3′. RNA samples were normalized to control housekeeping genes (human β-actin) and relative mRNA levels of target genes were calculated by the 2-ΔΔ cycle threshold (Ct) method.
For PCR array experiments, an RT2 Profiler Custom PCR array was used to simultaneously examine the mRNA levels of 89 genes, including five housekeeping genes in 96-well plates according to the protocol of the manufacturer (SABiosciences, QIAGEN, Hilden, Germany). Real-time PCR was performed using the RT2 SYBR green qPCR Master Mix (SABiosciences) on an ABI 7500 Fast 96-well real-time PCR machine (Applied Biosystems, Foster City, CA, USA). Results were analyzed using the PCR Array Data Analysis Web Portal (SABiosciences). Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and β-actin were chosen as internal loading controls for standardization between samples and relative mRNA levels of target genes were calculated by the 2-ΔΔ Ct method.
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2

Transcriptomic Profiling of Breast Cancer Genes

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RNA was isolated from TBX3iso1 and TBX3iso2 transfectants, as well as vector controls, using the RNeasy Mini Kit (Qiagen). One microgram of RNA was converted into cDNA using the RT2 First Strand Kit (Qiagen). RT2 SYBR Green Mastermix was combined with the cDNA and dH2O as per the manufacturer’s protocol. Expression of 84 key genes commonly involved in dysregulation of signal transduction pathways and other biological processes involved in breast cancer were assessed using Human Breast Cancer RT2 PCR arrays (Qiagen, PAHS-131ZA-2). Data analysis was conducted by SA Biosciences PCR Array Data Analysis Web portal using the ΔΔCt method normalized to acidic ribosomal phosphoprotein P0 (RPLP0) expression. Heat map showing absolute expression of mRNA was generated using the SA Biosciences RT2 profiler PCR Array Data Analysis Web portal.
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3

Osteogenic and Angiogenic Genes Modulated by BMP2

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To examine the range of genes modulated by BMP2 over-expression in BMSC in the 3D-scaffold (in vitro), a custom PCR array (Cat no: 330131, SuperArray Bioscience, Frederick, MD, USA) containing primer pairs for 30 genes related to osteogenesis and angiogenesis (Table 1) was used. Total RNA from 3 biological replicates (n = 3) of both ad-GFP and ad-BMP2 groups were used for cDNA synthesis at 3 and 14 days. PCR amplification was performed using the following cycling conditions: 95°C for 10 min, (95°C for 15 sec, and 60°C for 1 min) x 40 cycles in ABI Prism Sequence Detector 7900 HT (Applied Biosystems, Foster City, USA). Pre- and post- PCR quality control measures, as recommended by the manufacturer, were strictly followed. PCR array data were analysed as described previously [25 (link)]. Briefly, threshold cycle (Ct) was used to calculate 2-ΔCt value for each gene using PCR Array Data Analysis Web Portal (SABiosciences). 2-ΔCt values were then exported to microarray data analysis software (J-Express 2012). For statistical analysis, unsupervised hierarchical clustering and significance analysis of microarray (SAM) tests were used. Differentially expressed genes with false discovery rate (FDR) = 0 were considered to be significantly modulated genes.
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4

Cytokine and Chemokine qPCR Profiling

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Real-time qPCR analysis for the PCR arrays was performed using the RT2 SYBR green qPCR Master Mix (SABiosciences) on a StepOnePlus Real-Time PCR System (Life Technologies) as described previously [21 (link)]. cDNA from groups of male mice (n = 4 per group) was tested using the Cytokines & Chemokines RT² Profiler PCR Array (Cat#: PAMM-150ZE), which contains 84 genes related to inflammatory pathways and the immune response (S1 Table). A set of 5 housekeeping genes (HKG) was used as internal controls for standardization between samples: Gusb, Hprt, Hsp90ab1, Gapdh and Actb. Results were analyzed using the PCR Array Data Analysis Web Portal (SABiosciences), followed by Benjami-Hochberg FDR correction.
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5

Innate and Adaptive Immune Response Profiling

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RD cells in 24-well plates were infected with E7 WT or mutant viruses at an MOI of 10, or a consistent viral genome copy number equating to an MOI of 10 in the WT. Sendai virus and Poly I:C, strong inducers of IFNβ, were separately inoculated as positive controls. Viral RNA titres were confirmed in virus stock preps using qRT-PCR. Cells were harvested 8 h post infection, and RNA was isolated. RNA from six biological replicates was combined, and RNA integrity number was confirmed to be greater than 9.7 for all samples using a 2100 Bioanalyzer (Agilent). cDNA was made using the RT2 First Strand cDNA Synthesis kit (Qiagen) with 800 ng RNA per sample. The relative expression of 84 candidate genes was then analysed with pre-made ‘Human Innate & Adaptive Immune Responses PCR Array’ RT2 Profiler PCR Arrays (SABiosciences, catalogue number PAHS-052), and RT2 SYBR Green Rox Fast Master Mix (Qiagen). Cycling conditions were 95°C for 10 min, followed by 40 cycles of 95°C for 15 s and 60°C for 30 s. Data were normalized and fold changes calculated using the PCR Array Data Analysis Web Portal (SABiosciences).
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6

Cytokine and Chemokine Expression in Mouse Spleen

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The spleens of treated mice were harvested on day 6, snap frozen and RNA purified. RNA was converted to cDNA using the RT2 first strand kit (Qiagen) and qPCR performed using RT2 SYBR Green qPCR mastermix (Qiagen) and RT2 profiler PCR array for mouse cytokines and chemokines (Qiagen) as per manufacturer’s protocol. Data analysis was performed using the ΔΔCT method and SABiosciences PCR Array Data Analysis Web portal.
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7

Multiplex ELISA and qRT-PCR Analysis of Mouse Cochleae

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C57BL/6 mice were randomly grouped and treated as described in fig. S16. For multiplex ELISAs, cochleae were homogenized prior to performing multiplex ELISAs in duplicate (44 (link)). For quantitative RT-PCR, excised cochleae were placed in RNAlater (Ambion) and stored at 80° C. Tissue RNA was extracted, reverse-transcribed using an RT2 first-strand kit, prepared for RT-PCR using custom PCR arrays optimized for reaction conditions, primers, and probes (SABiosciences), and analyzed using the SABiosciences PCR Array Data Analysis Web Portal (44 (link)).
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8

Real-time RT-PCR for Gene Expression

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Real-time RT-PCR studies used an ABI Step One Plus system (Carlsbad, CA). Total RNA (500 ng) was reverse-transcribed using RT2 First Strand Kit (SABiosciences Corp, Frederick, MD) using the manufacturer’s instructions. Then samples were prepared for Real-time PCR using the RT2 Real-time SYBR Green/Rox PCR master mix. Thermal cycle condition was set as: 95°C 10 min, then 40 cycles: 95°C 15sec, 60°C 1 min followed by a melt curve. Data analysis follows the suggestion of the manufacturer (SABiosciences PCR Array Data Analysis Web Portal). The parameter CT (threshold cycle) is defined as the fractional cycle number at which the reporter fluorescence generated by cleavage of the probe passes a fixed threshold above baseline.
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9

Transcriptomic Analysis of Gestational Inflammation

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Clinical data was analysed using GraphPad Prism 5 software. Comparison of means was by unpaired t-test with categorical data analysed with Fisher’s exact test. Analysis of both the signalling arrays and the individual gene qPCR was carried out using Sabiosciences PCR array data analysis web portal[23 ]. To determine genes of interest, volcano plots were used comparing each of the three groups to each other for both amnion and chorion. Students t test was used to test for differential expression when comparing one group to another. A false discovery rate (p) threshold of 0.1 in conjunction with a fold change threshold of 2 to assign gene significance in the array analysis stage[24 (link)]. This is to screen the large amount of data generated and hone in on genes of interest. The same test and analysis software was used for the qPCR validation but here we used a threshold of p<0.05 to infer statistical significance. Correlation between gestational age and gene expression was estimated by least squares linear regression modelling using a significance of 0.05. Correlation between staging of inflammation (maternal and fetal) and gene expression was also estimated using least squares linear regression modelling; a p< 0.05 was used to define statistical significance.
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10

VEGFA and BMP2 Modulate Osteogenesis

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To examine the range of genes modulated by the expression of VEGFA and the co-expression of VEGFA and BMP2 in BMSC in the three-dimensional scaffold (in vitro), a custom PCR array (cat no.: 330131; SuperArray Bioscience, Frederick, MD, USA) containing primer pairs for 30 genes related to osteogenesis and angiogenesis was used. Total RNA from three biological replicates (n = 3) of ad-GFP, ad-VEGFA, and ad-BMP2 + VEGFA groups at 3 and 14 days was used for cDNA synthesis. PCR amplification was performed using the following cycling conditions: 95 °C for 10 min, (95 °C for 15 s, and 60 ° C for 1 min) × 40 cycles in ABI Prism Sequence Detector 7900 HT (Applied Biosystems, Foster City, USA). Pre- and post- PCR quality control measures, as recommended by the manufacturer, were strictly followed. PCR array data were analyzed as described previously [27 (link)]. Briefly, threshold cycle (Ct) was used to calculate the 2–ΔCt value for each gene using PCR Array Data Analysis Web Portal (SABiosciences). 2–ΔCt values were then exported to microarray data analysis software (J-Express 2012). For statistical analysis, unsupervised hierarchical clustering and one-way analysis of variance (ANOVA) with Bonferroni post hoc analysis were used.
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