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The binding of multiple transcription factors (TFs) to genomic enhancers drives gene expression in mammalian cells 1 . However, the molecular details that link enhancer sequence to TF binding, promoter state and transcription levels remain unclear. Here we applied single-molecule footprinting 2,3 to measure the simultaneous occupancy of TFs, nucleosomes and other regulatory proteins on engineered enhancer-promoter constructs with variable numbers of TF binding sites for both a synthetic TF and an endogenous TF involved in the type I interferon response. Although TF binding events on nucleosome-free DNA are independent, activation domains recruit cofactors that destabilize nucleosomes, driving observed TF binding cooperativity. Average TF occupancy linearly determines promoter activity, and we decompose TF strength into separable binding and activation terms. Finally, we develop thermodynamic and kinetic models that quantitatively predict both the enhancer binding microstates and gene expression dynamics. This work provides a template for the quantitative dissection of distinct contributors to gene expression, including TF activation domains, concentration, binding affinity, binding site configuration and recruitment of chromatin regulators., Competing Interests: Competing interests: W.J.G. is a consultant and equity holder for 10x Genomics, Guardant Health, Quantapore and Ultima Genomics, co-founder of Protillion Biosciences and is named on patents describing ATAC–seq. L.B. is a co-founder of Stylus Medicine and a member of its scientific advisory board. All other authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Histone H3.3 is frequently mutated in tumors, with the lysine 36 to methionine mutation (K36M) being a hallmark of chondroblastomas. While it is known that H3.3K36M changes the epigenetic landscape, its effects on gene expression dynamics remain unclear. Here, we use a synthetic reporter to measure the effects of H3.3K36M on silencing and epigenetic memory after recruitment of the ZNF10 Krüppel-associated box (KRAB) domain, part of the largest class of human repressors and associated with H3K9me3 deposition. We find that H3.3K36M, which decreases H3K36 methylation and increases histone acetylation, leads to a decrease in epigenetic memory and promoter methylation weeks after KRAB release. We propose a model for establishment and maintenance of epigenetic memory, where the H3K36 methylation pathway is necessary to maintain histone deacetylation and convert H3K9me3 domains into DNA methylation for stable epigenetic memory. Our quantitative model can inform oncogenic mechanisms and guide development of epigenetic editing tools., Competing Interests: Declaration of interests L.B. is a co-founder of Stylus Medicine and a member of its scientific advisory board., (Copyright © 2024 Elsevier Inc. All rights reserved.)

In mammalian cells genes that are in close proximity can be transcriptionally coupled: silencing or activating one gene can affect its neighbors. Understanding these dynamics is important for natural processes, such as heterochromatin spreading during development and aging, and when designing synthetic gene regulation circuits. Here, we systematically dissect this process in single cells by recruiting and releasing repressive chromatin regulators at dual-gene synthetic reporters, and measuring how fast gene silencing and reactivation spread as a function of intergenic distance and configuration of insulator elements. We find that silencing by KRAB, associated with histone methylation, spreads between two genes within hours, with a time delay that increases with distance. This fast KRAB-mediated spreading is not blocked by the classical cHS4 insulators. Silencing by histone deacetylase HDAC4 of the upstream gene can also facilitate background silencing of the downstream gene by PRC2, but with a days-long delay that does not change with distance. This slower silencing can sometimes be stopped by insulators. Gene reactivation of neighboring genes is also coupled, with strong promoters and insulators determining the order of reactivation. Our data can be described by a model of multi-gene regulation that builds upon previous knowledge of heterochromatin spreading, where both gene silencing and gene reactivation can act at a distance, allowing for coordinated dynamics via chromatin regulator recruitment., Competing Interests: SL, MH, CL, JS, MH, AM, TF, LB No competing interests declared, (© 2022, Lensch et al.)