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Human adipogenesis rt2 profiler pcr array

Manufactured by Qiagen

The Human Adipogenesis RT2 Profiler PCR Array is a laboratory equipment product that allows for the analysis of the expression of genes involved in the process of adipogenesis, which is the differentiation of adipocytes or fat cells. The array provides a comprehensive and standardized platform for the quantitative assessment of gene expression patterns related to this biological process.

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2 protocols using human adipogenesis rt2 profiler pcr array

1

Analysis of Lipid Metabolism Genes

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To investigate a wide spectrum of genes involved in lipid metabolism the Human Adipogenesis RT2 Profiler PCR Array (Qiagen) was used. 84 “metabolic” genes were analyzed in addition to positive control genes (beta actin and Ribosomal protein). Real-time PCR was performed with 7500 Fast Real-Time (Applied Biosystems) using Sybr green detection. Results were analyzed by RT2 Profiler PCR Array Data Analysis. Transcriptional levels of genes were shown as fold change vs Healthy Donors, values >1.50 or <0.5 were considered significantly modified. All dataset was submitted in Geo Repository http://www.ncbi.nlm.nih.gov/geo. Accession number: GSE54432
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2

Lipid Metabolism Gene Expression in HepG2 and Mouse Liver

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The expression of 84 metabolic genes involved lipid metabolism was analyzed in HepG2 cells treated with MOES 2.5 mg/ml, and mouse liver tissues exposed to mol-miR pool for 5 weeks. Analysis was performed on the cDNA obtained from total RNA using Human Adipogenesis RT2 Profiler PCR Array (PAHS-049Z; Qiagen) and Mouse Adipogenesis RT2 Profiler PCR Array (PAMM-049Z; Qiagen), respectively. A 7500 Fast Real-Time kit (Applied Biosystems) with SYBR Green detection (Hydra SYBR qPCR Master Mix, BIOLAB) was used according to the manufacturer’s instructions. Data elaboration was performed using the RT2 Profiler PCR Array Data Analysis software. Transcriptional levels were shown as fold change (HFD vs. ND; HFD + mol-miR pool vs. ND; HFD group vs. HFD + mol-miR pool). Values > 1.50 units or <0.5 units were considered significant. All dataset was submitted to Geo Repository http://www.ncbi.nlm.nih.gov/geo. Accession number: GSE125344 (human), GSE125346 (mouse).
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