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Qbaseplus data analysis software

Manufactured by CellCarta
Sourced in Belgium

QBasePLUS is a data analysis software that provides core functionality for processing and analyzing data. The software offers basic data management and visualization capabilities.

Automatically generated - may contain errors

2 protocols using qbaseplus data analysis software

1

Quantitative Analysis of Brown Adipocyte Transcripts

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Total RNA from brown adipocytes at differentiation days 1, 3, 6 and 9 was isolated using the RNeasy Mini Kit (Qiagen) before and after incubation with pro-inflammatory cytokines. Isolated RNA was quantified and analysed by NanoDrop 1000 (Thermo Scientific). Two micrograms of RNA were reverse transcribed into cDNA by using random hexamer primers. For quantitative real-time PCR (qRT-PCR), QuantiTect SYBR Green technology (Qiagen) and the ViiA™ 7 Real-Time PCR System (Life Technologies) were used. Samples were incubated at 50°C for 5 min followed by a 10 min denaturation step at 95°C. Following this initial denaturation, the 40 PCR cycles comprised a denaturation step at 95°C for 30 s, an annealing step at 60°C for 30 s and an extension step at 72°C for 30 s. The optimal PCR reaction parameters were defined empirically and the purity and specificity of the amplified PCR product in each experiment was verified by melting curves. Primers were designed to have annealing temperatures of 60°C and to provide amplicons between 79 and 190 base pairs (Supplementary Table S1). All measurements were performed in triplicate and normalized to the housekeeping genes β-actin, peptidylprolyl isomerase A (PPIA) and α-tubulin using the QBasePLUS data analysis software (Biogazelle).
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2

Efficient Gene Expression Quantification

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Quantification cycle (Cq) values for all the genes from all the samples were compiled and imported to qbasePLUS data analysis software (Biogazelle, Belgium). Each gene was adjusted for amplification efficiency according to their own standard curve and was scaled to the untreated control. The lower and upper boundaries of Cq range for positive controls were 5 and 35, respectively. The acceptable replicate variability (difference in Cq) was <0.5. For normalization, the genes of interest were normalized with the 2 reference genes that were chosen from 8 different housekeeping genes. For statistical analysis, unpaired t test was performed with multiple correction testing on the RT-qPCR data after normalization with the reference genes.
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