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Native, Spatiotemporal Profiling of the Global Human Regulome

Pino, L. K.; Canzani, D.; Gutierrez, A.; Hubbard, E.; Broderick, E.; Prymolenna, A.; Mercenne, G.; Siebenthall, K.; Fondrie, W. E.; Robbins, J.; McEllin, B.; Takta, L.; Paez, J. S.; Federation, A. J.

2025-06-15 cell biology
10.1101/2025.06.14.659727 bioRxiv
Show abstract

The regulome, comprising transcription factors, cofactors, chromatin remodelers, and other regulatory proteins, forms the core machinery by which cells interpret signals and execute gene expression programs. Despite its central role in development, disease, and drug response, the regulome remains largely uncharted at scale due to its dynamic, low-abundance, and chromatin-associated nature. Here, we present a method for scalable, regulome profiling for global, compartment-resolved quantification of native regulome proteins. By enriching DNA- and chromatin-associated proteins and profiling them using high-throughput, label-free DIA mass spectrometry, regulome profiling captures chromatin-associated proteins across 36 human cell lines and thousands of perturbations. The resulting Regulome Atlas recovers nearly 60% of known human transcription factors, reveals lineage-specific TF localization, and distinguishes active nuclear engagement from latent, unbound states. We demonstrate that regulome profiles resolve acute immune pathway activation prior to transcriptional changes, identify previously unrecognized drug-induced regulome responses, and enable proteome-scale readouts of compound target engagement and complex remodeling. This work establishes a foundational resource for decoding the regulatory proteome and provides a blueprint for integrating regulome data into next-generation models of cellular behavior.

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