A method for establishing spatiotemporal norms of human brain gene expression

Abstract

The invention discloses a method for establishing a spatio-temporal norm of gene expression in the human brain, collecting brain spatio-temporal raw data to obtain a gene standardized expression data set; constructing a two-dimensional spatio-temporal framework of brain regions and developmental stages, and dividing all gene standardized expression data into brain regions Corresponding to the constructed spatiotemporal framework and developmental stage information, the spatiotemporal expression pattern of single gene is obtained; the gene coexpression network analysis method is used to analyze the obtained single gene spatiotemporal expression matrix data, and multiple gene modules are obtained and the average gene expression of each gene is obtained. Quantitatively obtain the spatiotemporal expression pattern of gene modules; through the analysis of normal human nerve cell expression data, the characteristic genes of nerve cells and the obtained gene modules are enriched and analyzed to obtain the cell expression patterns of gene modules. The present invention finally presents all reference data sets in the same two-dimensional space-time frame, which not only synthesizes data sets from different sources, but also facilitates researchers to intuitively supplement and compare the contents of the space-time frame.

Description

technical field [0001] The invention relates to the technical field of human brain modeling, in particular to a method for establishing a spatiotemporal norm of human brain gene expression. Background technique [0002] The development of the human brain occurs over a long period of time, with extremely complex and precise regulation. From embryonic stage to adulthood and various stages of aging, the human brain undergoes long-term development, refinement and maturation, undergoing molecular, connection and structural changes. Provide insights into susceptibility to certain brain disorders such as neurodegenerative and psychiatric disorders by studying gene expression patterns in regions of normal brain function, developmental stages, and different neural cell types. [0003] A large amount of high-quality gene expression data of different types in the human brain is available. Considering the difference in gene length and sequencing depth in RNA-seq data analysis, it is a...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the existing large amount of high-quality and different types of human brain gene expression data, the present invention optimizes the problem that existing database data resources are scattered and difficult to comprehensively utilize by integrating the normal human brain gene expression data of different developmental stages, brain regions and nerve cell types. The problem is to establish a comprehensive and systematic normal human brain gene spatiotemporal expression norm and provide a gene spatiotemporal model reference. For this reason, the present invention provides a method for establishing a human brain gene expression spatiotemporal norm

Images