Gene expression method for simultaneously detecting 11 sports-related genes and 4 internal reference genes in human blood

Abstract

The invention provides a gene expression method for simultaneously detecting 11 sports-related genes and 4 internal reference genes in human blood. The expression conditions of the 15 genes are detected simultaneously in the same reaction system by applying a multi-PCR, universal primer and nucleic acid hybridization method. The 11 sports-related genes are ciliary neurotrophic factor (CNTF) gene, beta2-adrenergic receptor (beta2-AR) gene, leptin receptor gene, transforming growth factor-beta1 (TGF-beta1) gene, mitochondrial uncoupling protein 2 gene, phospholipase C-gamma1 gene, tumor necrosis factor (TNF) gene, haptoglobin gene, RAD1 homologue gene, hypoxia inducible factor-1alpha (HIF-1alpha) gene and insulin-like growth factor-1 (IGF-1) of a human; and the 4 internal reference genes are histone deacetylase gene, glyceraldehyde-3-phosphate dehydrogenase gene, 18s-rRNA gene and beta-actin gene. Compared with the conventional real-time fluorescent quantitative polymerase chain reaction (PCR) detection method, the method of the invention has the advantages of high throughput, quickness, high automation degree, moderate cost, high accuracy and sensitivity and the like.

Description

technical field [0001] The invention relates to a method for simultaneously detecting the expression of 11 exercise-related genes and 4 internal reference genes in human blood, belonging to the field of medical molecular biology. Background technique [0002] The selective expression of genes in different cells of different individuals and at different growth stages determines the diversity of life activities, such as development and differentiation, aging and death, internal environment stability, cell cycle regulation, etc. Comparing the differences in gene expression among individuals can provide a basis for us to reveal the differences in certain abilities among living individuals. By studying the expression of sports-related genes in athletes and comparing them with non-athletes, we can reveal the reasons why athletes perform well at the molecular level to a certain extent. Human ciliary neurotrophic factor (CNTF, NM_000614) has a good effect on promoting the growth of...

AI Technical Summary

Problems solved by technology

[0004] The traditional technology for gene expression detection is real-time fluorescent quantitative PCR technology, but this method is only suitable for single-plex reactions. If multiple genes are expressed, they need to be detected one by one, which is very cumbersome, and the error in the detection process is difficult to control

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