91桃色

Abstract

Gene expression regulation and metabolic networks are fundamental to cellular function and organismal development. Recent advancements in systems biology and computational methods have facilitated a deeper understanding of these complex interactions. This article reviews integrative approaches that combine genomics, transcriptomics, metabolomics, and bioinformatics to elucidate gene expression regulation and metabolic pathways. We highlight key methodologies, including multi-omics integration, network modeling, and dynamic simulation, that offer insights into how genetic and metabolic processes are interlinked. Through case studies and recent research findings, we demonstrate the effectiveness of these approaches in deciphering the complexity of gene-regulatory networks and metabolic systems. Our review underscores the importance of a holistic perspective in studying gene expression and metabolism and discusses future directions for research in this rapidly evolving field.