Method for constructing genetic regulation network based on total-transcriptome high-throughput sequencing

A gene regulatory network and transcriptome sequencing technology, applied in the field of biomedicine, can solve problems such as insufficient comprehensive interpretation of complex diseases, and difficulty in finding deep-level regulatory mechanisms by listing results.

Active Publication Date: 2019-04-16
BIOMARKER TECH
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Problems solved by technology

[0004] However, studying a certain RNA alone is not enough to comprehensively explain the biological process of complex dise

Method used

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  • Method for constructing genetic regulation network based on total-transcriptome high-throughput sequencing
  • Method for constructing genetic regulation network based on total-transcriptome high-throughput sequencing

Examples

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Embodiment 1

[0072] Example 1 Joint analysis of whole-transcriptome sequencing data to construct a disease-related key gene regulatory network

[0073] In this example, the whole transcriptome sequencing data of 6 groups of people were used to verify the method for constructing the regulation network of key disease-related genes provided by the present invention. The above 6 sets of sequencing data are respectively the sequencing data of tumor tissues and normal tissues of 3 breast cancer patients. Each set of sequencing data includes lncRNA sequencing data and miRNA sequencing data. Among them, the lncRNA, circRNA and gene sequence and expression information of the sample can be obtained from the lncRNA sequencing data; the miRNA sequence and expression information of the sample can be obtained from the miRNA sequencing data.

[0074] The edgeR software was used to analyze the differential expression of lncRNA, circRNA, gene and miRNA in the three samples of the disease group and the nor...

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Abstract

The invention relates to the technical field of biomedicine, and particularly relates to a method for constructing a genetic regulation network based on total-transcriptome high-throughput sequencing.The method comprises the steps that a disease related competitive endogenous RNA regulation network is constructed on the basis of total-transcriptome high-throughput sequencing data through the screening of differently expressed genes, lncRNA, circRNA and miRNA, the co-expression analysis of the genes, the lnc RNA and the circRNA and the miRNA combining target prediction, key genes in the regulation network are screened according to a random walking algorithm, the pathway in which the key genes are significantly enriched is determined through pathway enrichment analysis, and the biological mechanism of the key genes in the disease regulation process is analyzed combining with the genetic regulation relationship of the pathway. The invention provides methods for the verification of the disease related key genes and the construction of the regulation network of the key genes, and a novel approach is provided for the study of generating developing mechanisms of complicated diseases.

Description

technical field [0001] The invention relates to the field of biomedical technology, in particular to a method for constructing a disease-related key gene regulatory network through joint analysis of high-throughput sequencing data of the whole transcriptome. Background technique [0002] The vast majority of common human diseases (including malignant tumors, cardiovascular and cerebrovascular diseases, metabolic system diseases, nervous system diseases, etc.) are complex diseases. Complex diseases, also known as polygenic diseases, are the result of the interaction of polygenic inheritance and environmental factors. They do not conform to Mendel's laws, and their development involves complex biological processes regulated by multiple genes and proteins. Although a large number of research results have been achieved in big data research such as genome, human beings' understanding of the nature of diseases is still far from enough. Multi-omics research provides powerful condi...

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Application Information

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IPC IPC(8): G16B25/10G16B30/00
Inventor 郑洪坤温颜华聂佩瑶黎松林海军
Owner BIOMARKER TECH
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