Research method for key genes of intracranial aneurysm formation and rupture

Abstract

The invention relates to the field of bioinformatics, in particular to a research method of key genes of intracranial aneurysm formation and rupture, which comprises the following steps: S1, chip data acquisition and chip data pretreatment; s2, screening key genes; s3, gene function enrichment analysis and immune microenvironment analysis, on the basis of screening of key genes, a method combining differential expression gene analysis and WGCNA is adopted, on the basis, the key genes obtained after intersection of results of the two methods are subjected to protein interaction network analysis, the gene with the most core of IAs formation and rupture is screened out, and the key genes with the core of IAs formation and rupture are screened out. The method realizes identification of potential key genes causing formation and rupture of IAs through a weight gene co-expression network analysis method.

Description

technical field [0001] The invention relates to the field of bioinformatics, in particular to a research method for key genes of intracranial aneurysm formation and rupture. Background technique [0002] The formation of intracranial aneurysms (Intracranial Aneurysms, IAs) is considered to be the result of both genetic and environmental factors. Similarly, there are genetic and environmental factors in the occurrence of IAs rupture. Many studies have discussed the risk factors and pathophysiological mechanisms of IAs formation and rupture. For example, related studies have shown that factors such as immune inflammatory response, extracellular matrix degradation, and hemodynamic stress are involved in the occurrence and rupture of IAs. Although many studies have carried out detailed experiments to elucidate the relevant molecular mechanisms, the exact mechanism affecting the formation and rupture of IAs has not yet been clarified, so the genes and possible molecular mechanis...

AI Technical Summary

Problems solved by technology

However, few studies identified potential key genes leading to the formation and rupture of IAs by Weighted Gene Coexpression Network Analysis (WGCNA) approach

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