BrainEXP: a database featuring with spatiotemporal expression variations and co-expression organizations in human...

Area of Science:

• Neuroscience
• Genomics
• Bioinformatics

Background:

• Gene expression and co-expression patterns are dynamic, varying with age, sex, and tissue type.
• Comprehensive data on normal human brain gene expression and co-expression remains limited.
• Understanding these patterns is crucial for deciphering brain function and disease.

Purpose of the Study:

• To present the Brain EXPression Database (BrainEXP), a novel resource for human brain gene expression.
• To provide spatiotemporal expression profiles of individual genes and their co-expression patterns.
• To analyze gene expression across diverse brain regions, age groups, and sexes.

Main Methods:

• Compiled a large dataset of 4567 samples from 2863 healthy individuals.
• Integrated data from both microarray and RNA-Seq library types from public and internal sources.
• Performed analyses on gene expression across specific brain regions, age ranges, and sexes.
• Conducted gene co-expression analyses utilizing data from different platforms.

Main Results:

• BrainEXP provides spatiotemporal gene expression data for the normal human brain.
• The database details gene co-expression patterns across various demographic and anatomical contexts.
• Analysis reveals variations in gene expression and co-expression related to age, sex, and brain region.

Conclusions:

• BrainEXP serves as a valuable, publicly accessible resource for human brain gene expression research.
• The database facilitates the quantification and understanding of spatiotemporal gene activity in the brain.
• This resource will aid in future studies of brain development, function, and neurological disorders.