bioRxivSynthetic BiologyPreprint
Design of synthetic activators for programmable gene expression
Wei Chen, Ruopu Jiao, Brian CoventryiD, Xiangli QuiD, Magnus S. BaueriD, Long TraniD, Tabitha TcheauiD, Kejia WuiD, Zihao SongiD, Nicole RoullieriD, Xinting LiiD, Cameron J. GlasscockiD, Isaac B. HiltoniD, David BakeriD
Abstract
Transcription factors control gene expression by recruiting transcriptional coactivators through intrinsically disordered transcriptional activation domains (TADs), whose weak and promiscuous interactions make it difficult to establish quantitative relationships between coactivator recruitment and transcriptional output, and to precisely modulate gene expression. To overcome this limitation, we set out to design coactivator-recruiting proteins using AlphaFold3-predicted TAD-coactivator interactions as a guide. We developed a high-throughput functional screening platform in mammalian cells and identified over 300 well folded nanomolar affinity binders to the transcription coactivators Mediator (multiple subunits), BRD4, NCOA, and p300; targeted interface mutations enabled systematic tuning of their binding affinities. Using a panel of p300 binders spanning nanomolar to micromolar affinities, we found an ultrasensitive relationship between coactivator-binding affinity and transcriptional output, with a sharp transcriptional activation threshold at ~500 nM. Incorporating p300 binder designs into CRISPRa yielded compact synthetic effectors that drove stronger activation than VPR across multiple genomic loci with minimal detectable cytotoxicity. Combining p300- and Mediator-specific binders further enhanced transcription, revealing functional synergy between these coactivators. Together, our work establishes a quantitative framework linking coactivator-binding affinity to transcriptional output and provides compact synthetic effectors for programmable gene activation.
- organism: human
- assay: CRISPR screen
- research focus: drug response / drug discovery
- approach: statistical model
- approach: experimental assay
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- High-throughput functional characterization of combinations of transcriptional activators and repressors
Adi Xiyal Mukund, Josh Tycko, … Lacramioara Bintu·Cell SystemsPeer-reviewed·Aug 4, 2023
- High-throughput affinity measurements of direct interactions between activation domains and co-activators
Nicole V. DelRosso, Peter Suzuki, … Polly Morrell Fordyce·bioRxiv·Aug 19, 2024
- Transcription factors use a unique combination of cofactors to potentiate different promoter-dependent steps in transcription
Charles C. Bell, Jesse J. Balic, … Mark A. Dawson·Nature GeneticsPeer-reviewed·May 20, 2024
- p300 Is an Obligate Integrator of Combinatorial Transcription Factor Inputs
J. J. Ferrie, J. P. Karr, … X. Darzacq·bioRxiv·May 18, 2023
- Allosteric Constraints on Rewiring Inducible Repressors
Abhilasha Gupta, Mitchell Lewis·bioRxiv·Aug 7, 2026
- Systematic identification of transcriptional activator domains from non-transcription factor proteins in plants and yeast
Niklas F. C. Hummel, Kasey Markel, … Patrick M. Shih·bioRxiv·Sep 12, 2023