The human genome contains approximately 20,000 protein-coding genes, yet each cell type expresses only a fraction of these at any given time. Understanding which genes are active, when they are expressed, and at what levels has become central to modern biomedical research. Technologies such as RNA-seq, single-cell transcriptomics, and spatial transcriptomics have revolutionized our ability to map gene expression with unprecedented resolution.
The GTEx (Genotype-Tissue Expression) project has cataloged expression patterns across 54 human tissue types from nearly 1,000 individuals. This resource has revealed that approximately 80% of protein-coding genes are expressed in most tissues, though expression levels vary dramatically. Tissue-specific genes, such as insulin in pancreatic beta cells or hemoglobin in erythroid cells, account for critical biological functions and disease processes.
Epigenetic modifications, including DNA methylation and histone modifications, play crucial roles in regulating gene expression. Recent studies using ATAC-seq and ChIP-seq have identified millions of regulatory elements that control when and where genes are turned on or off. Understanding these regulatory landscapes is essential for interpreting the effects of non-coding genetic variants identified in genome-wide association studies (GWAS).