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This lecture explains how gene regulatory networks with interactions between transcription factors can encode a time course of changes for a cell. Using an example, the instructor demonstrates how a signal can trigger a cascade of gene expression changes, leading to the establishment of a stable steady state. The lecture also discusses the computational perspective of characterizing interactions in gene regulatory networks and simulating temporal events. Furthermore, it explores the overlapping nature of different regulatory networks within a cell and the importance of interactions between lineages and tissues in complex developmental processes.