Real-time quantification PCR chip used for detecting gene expression of mouse cholesterol metabolism

Abstract

The invention relates to a real-time quantification PCR chip used for detecting gene expression of mouse cholesterol metabolism. The real-time quantification PCR chip uses 88 genes closely related to cholesterol metabolism as detection sites and selects 4 house-keeping genes. The real-time quantification PCR chip provided by the invention can carry out target analysis on gene related to mouse cholesterol metabolism, needs a short experimental period, has simple data processing and low cost, does not need special experiment organization detection, needs only a quantification PCR instrument and has the advantages of high amplification efficiency, reliable quantification results, good repeatability and high specificity.

Description

technical field [0001] The invention belongs to the field of detecting the expression of cholesterol genes, in particular to a real-time quantitative PCR chip (qPCR array) for detecting the expression of cholesterol metabolism genes in mice. Background technique [0002] Currently, techniques for studying differences in gene expression mainly include expression profiling microarrays, RNA sequencing, and qPCR arrays. The expression profile chip uses cDNA or oligonucleotide fragments as probes, which are solidified on the chip; the mRNA of the test sample (treatment group) and the control sample are labeled with two different fluorescent molecules, and then hybridized with the chip at the same time , to detect changes in gene expression levels by analyzing the ratio of the fluorescence intensities of two samples hybridized with the probe. RNA sequencing, also known as transcriptome sequencing. Transcriptome refers to the collection of all transcribed mRNA products of a speci...

AI Technical Summary

Problems solved by technology

However, these two methods have the following disadvantages: there is no accurate quantitative information in the expression profile chip, and the results need a large number of experimental verifications; the expression profile chip is a broad-spectrum screening method, and it does not study genes in a targeted manner. Unrelated genes will generate a lot of useless or wrong information and interfere with the analysis of results; RNA-Seq can detect all RNA in a sample, and a large part of RNA in cells comes from ribosomes and mitochondria, limiting the number of reads for other RNAs and the accuracy of these RNA expression levels

At the same time, these two methods have high research costs and can only be completed in professional experimental centers

Not eligible to be completed in a general laboratory

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