Lineage specifying transcription factors determine cell function by direct control of metabolism

作者：Alex J. Bott, Joshua C. Youngs, Corey N. Cunningham, Jonathan G. Van Vranken, Peng Wei, Ahmad A. Cluntun, Steven P. Gygi, Donald E. Ayer, Jared Rutter · 发表于：bioRxiv (Cold Spring Harbor Laboratory) · 年份：2026 · DOI：10.64898/2026.07.02.735862 · 被引用次数：1 · 研究领域：Gene Regulatory Network Analysis、RNA and protein synthesis mechanisms、Bioinformatics and Genomic Networks

Execution of a complex cellular function requires the coherent expression of a set of genes that encode the requisite biochemical program. It is believed that this is typically accomplished by employing common transcription factors to activate those genes, thus ensuring coherence. However, many of these programmatic gene sets are expressed at differing levels and in distinct configurations in different cell types. This creates a unique challenge for the logic of gene regulation—precisely tuning the expression of programs across cell types while maintaining coherence. Using the glycolysis pathway as a model of co-expressed genes with highly divergent cell-specific regulation, we developed a CRISPR screening approach to identify trans-acting factors that control RNA abundance. Using this platform, we discovered that lineage-specifying transcription factors directly activate glycolytic gene expression and alter metabolism. We showed that impaired metabolism disrupts lineage-specific activities via loss of specialized biochemical pathways and functions. We hypothesize that lineage-specifying transcription factors directly regulate metabolic gene expression to ensure that cellular metabolism is tuned to the specific demands imparted by specialized cell function.