The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
CBP-IDRs regulate acetylation and gene expression
Open accessPublished version of a preprint
Abstract
Intrinsically disordered regions (IDRs) are essential regulators of protein function despite lacking stable secondary and tertiary structures. IDRs are integral to the function of multidomain regulatory proteins, such as the essential transcriptional coactivators cAMP response element-binding protein (CREB)-binding protein (CBP) and EP300 (p300), but how their multiple IDRs work together to regulate function remains poorly understood. Here, we demonstrate that different CBP-IDRs cooperate to control complex nuclear behaviors. We show how CBP-IDRs with different sequence properties make unique contributions to CBP behavior, establishing a critical balance between positive and negative regulation of CBP condensates. These opposing interactions are functionally important, tuning CBP's sensitivity to regulatory cues such as lysine acetylation. Disruption of this balance fundamentally alters CBP's chromatin occupancy, patterns of histone acetylation, and downstream gene expression. Together, our work reveals an unexpected mechanism of intramolecular cooperation between distinct IDRs and highlights how their properties shape the functional landscape of multi-domain proteins.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures








Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Highly accurate protein structure prediction for the human proteome
Tunyasuvunakool, K., Adler, J., Wu, Z., Green, T., Zielinski, M., Žídek, A., Bridgland, A., Cowie, A., Meyer, C., Laydon, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03828-1 · Cited by 3,025
Rubinstein-Taybi syndrome caused by mutations in the transcriptional co-activator CBP
Petrif, F., Giles, R. H., Dauwerse, H. G., Saris, J. J., Hennekam, R. C. M., Masuno, M., Tommerup, N., van Ommen, G.-J. B., Goodman, R. H., Peters, D. J. M., et al. (1995) · Nature · doi:10.1038/376348a0 · Cited by 1,217
RNA Binding to CBP Stimulates Histone Acetylation and Transcription
Bose, D. A., Donahue, G., Reinberg, D., Shiekhattar, R., Bonasio, R., & Berger, S. L. (2017) · Cell · doi:10.1016/j.cell.2016.12.020 · Cited by 426
Self-citation
Research works printed but not linked: 70
- Holehouse, 2023, The molecular basis for cellular function of intrinsically disordered protein regions, Nat. Rev. Mol. Cell Biol., 25, 187, 10.1038/s41580-023-00673-0 · DOI
- van der Lee, 2014, Classification of intrinsically disordered regions and proteins, Chem. Rev., 114, 6589, 10.1021/cr400525m · DOI
- Lobel, 2025, Deciphering disordered regions controlling mRNA decay in high-throughput, Nature, 642, 805, 10.1038/s41586-025-08919-x · DOI
- Moses, 2024, Structural biases in disordered proteins are prevalent in the cell, Nat. Struct. Mol. Biol., 31, 283, 10.1038/s41594-023-01148-8 · DOI
- Cuevas-Velazquez, 2021, Intrinsically disordered protein biosensor tracks the physical-chemical effects of osmotic stress on cells, Nat. Commun., 12, 5438, 10.1038/s41467-021-25736-8 · DOI
- Narita, 2021, Enhancers are activated by p300/CBP activity-dependent PIC assembly, RNAPII recruitment, and pause release, Mol. Cell, 81, 2166, 10.1016/j.molcel.2021.03.008 · DOI · Paper page
- Hunt, 2022, p300/CBP sustains Polycomb silencing by non-enzymatic functions, Mol. Cell, 82, 3580, 10.1016/j.molcel.2022.09.005 · DOI
- Weinert, 2018, Time-resolved analysis reveals rapid dynamics and broad scope of the CBP/p300 acetylome, Cell, 174, 231, 10.1016/j.cell.2018.04.033 · DOI
- Tropberger, 2013, Regulation of transcription through acetylation of H3K122 on the lateral surface of the histone octamer, Cell, 152, 859, 10.1016/j.cell.2013.01.032 · DOI
- Tie, 2009, CBP-mediated acetylation of histone H3 lysine 27 antagonizes Drosophila Polycomb silencing, Development, 136, 3131, 10.1242/dev.037127 · DOI
- Ma, 2021, Co-condensation between transcription factor and coactivator p300 modulates transcriptional bursting kinetics, Mol. Cell, 81, 1682, 10.1016/j.molcel.2021.01.031 · DOI
- Dyson, 2016, Role of Intrinsic Protein Disorder in the Function and Interactions of the Transcriptional Coactivators CREB-binding Protein (CBP) and p300, J. Biol. Chem., 291, 6714, 10.1074/jbc.R115.692020 · DOI
- Sturzenegger, 2018, Transition path times of coupled folding and binding reveal the formation of an encounter complex, Nat. Commun., 9, 4708, 10.1038/s41467-018-07043-x · DOI
- Demarest, 2002, Mutual synergistic folding in recruitment of CBP/p300 by p160 nuclear receptor coactivators, Nature, 415, 549, 10.1038/415549a · DOI
- Hou, 2022, Analysis of estrogen-regulated enhancer RNAs identifies a functional motif required for enhancer assembly and gene expression, Cell Rep., 39, 10.1016/j.celrep.2022.110944 · DOI
- Thompson, 2004, Regulation of the p300 HAT domain via a novel activation loop, Nat. Struct. Mol. Biol., 11, 308, 10.1038/nsmb740 · DOI · Paper page
- Ortega, 2018, Transcription factor dimerization activates the p300 acetyltransferase, Nature, 562, 538, 10.1038/s41586-018-0621-1 · DOI
- Thompson, 2001, Transcriptional coactivator protein p300. Kinetic characterization of its histone acetyltransferase activity, J. Biol. Chem., 276, 33721, 10.1074/jbc.M104736200 · DOI
- Zhang, 2021, Nuclear condensates of p300 formed though the structured catalytic core can act as a storage pool of p300 with reduced HAT activity, Nat. Commun., 12, 4618, 10.1038/s41467-021-24950-8 · DOI
- Perissi, 1999, Factor-specific modulation of CREB-binding protein acetyltransferase activity, Proc. Natl. Acad. Sci. USA, 96, 3652, 10.1073/pnas.96.7.3652 · DOI · Paper page
- Boisvert, 2001, The transcription coactivator CBP is a dynamic component of the promyelocytic leukemia nuclear body, J. Cell Biol., 152, 1099, 10.1083/jcb.152.5.1099 · DOI
- LaMorte, 1998, Localization of nascent RNA and CREB binding protein with the PML-containing nuclear body, Proc. Natl. Acad. Sci. USA, 95, 4991, 10.1073/pnas.95.9.4991 · DOI
- Jones, 2015, DISOPRED3: precise disordered region predictions with annotated protein-binding activity, Bioinformatics, 31, 857, 10.1093/bioinformatics/btu744 · DOI
- Xue, 2010, PONDR-FIT: a meta-predictor of intrinsically disordered amino acids, Biochim. Biophys. Acta, 1804, 996, 10.1016/j.bbapap.2010.01.011 · DOI
- Wang, 2008, Induced ncRNAs allosterically modify RNA-binding proteins in cis to inhibit transcription, Nature, 454, 126, 10.1038/nature06992 · DOI
- Ruff, 2026, Molecular grammars of predicted intrinsically disordered regions that span the human proteome, Cell, 189, 323, 10.1016/j.cell.2025.10.019 · DOI
- King, 2024, Macromolecular condensation organizes nucleolar sub-phases to set up a pH gradient, Cell, 187, 1889, 10.1016/j.cell.2024.02.029 · DOI
- Rodríguez, 2024, Architectonic principles of polyproline II helix bundle protein domains, Arch. Biochem. Biophys., 756, 10.1016/j.abb.2024.109981 · DOI · Paper page
- Piai, 2016, Just a Flexible Linker? The Structural and Dynamic Properties of CBP-ID4 Revealed by NMR Spectroscopy, Biophys. J., 110, 372, 10.1016/j.bpj.2015.11.3516 · DOI
- Shin, 2017, Spatiotemporal Control of Intracellular Phase Transitions Using Light-Activated optoDroplets, Cell, 168, 159, 10.1016/j.cell.2016.11.054 · DOI
- Delvecchio, 2013, Structure of the p300 catalytic core and implications for chromatin targeting and HAT regulation, Nat. Struct. Mol. Biol., 20, 1040, 10.1038/nsmb.2642 · DOI
- Riback, 2020, Composition-dependent thermodynamics of intracellular phase separation, Nature, 581, 209, 10.1038/s41586-020-2256-2 · DOI
- Holehouse, 2017, CIDER: Resources to analyze sequence-ensemble relationships of intrinsically disordered proteins, Biophys. J., 112, 16, 10.1016/j.bpj.2016.11.3200 · DOI
- Martin, 2016, Sequence Determinants of the Conformational Properties of an Intrinsically Disordered Protein Prior to and upon Multisite Phosphorylation, J. Am. Chem. Soc., 138, 15323, 10.1021/jacs.6b10272 · DOI
- Lancaster, 2014, PLAAC: a web and command-line application to identify proteins with prion-like amino acid composition, Bioinformatics, 30, 2501, 10.1093/bioinformatics/btu310 · DOI
- Hunter, 2026, Rational design of disordered proteins for systematic sequence-to-function investigation, bioRxiv
- Wang, 2018, A molecular grammar governing the driving forces for phase separation of prion-like RNA binding proteins, Cell, 174, 688, 10.1016/j.cell.2018.06.006 · DOI
- Ibrahim, 2022, Structural insights into p300 regulation and acetylation-dependent genome organisation, Nat. Commun., 13, 7759, 10.1038/s41467-022-35375-2 · DOI · Paper page
- Lasko, 2017, Discovery of a selective catalytic p300/CBP inhibitor that targets lineage-specific tumours, Nature, 550, 128, 10.1038/nature24028 · DOI · Paper page
- Yi, 2023, Regulation of RB1CC1/FIP200 stability and autophagy function by CREBBP-mediated acetylation in an intrinsically disordered region, Autophagy, 19, 1662, 10.1080/15548627.2022.2148432 · DOI
- Henninger, 2021, RNA-mediated feedback control of transcriptional condensates, Cell, 184, 207, 10.1016/j.cell.2020.11.030 · DOI
- Favorov, 2012, Exploring massive, genome scale datasets with the GenometriCorr package, PLoS Comput. Biol., 8, 10.1371/journal.pcbi.1002529 · DOI
- Moore, 2020, Expanded encyclopaedias of DNA elements in the human and mouse genomes, Nature, 583, 699, 10.1038/s41586-020-2493-4 · DOI · Paper page
- Chong, 2022, Tuning levels of low-complexity domain interactions to modulate endogenous oncogenic transcription, Mol. Cell, 82, 2084, 10.1016/j.molcel.2022.04.007 · DOI
- He, 2024, Dual-role transcription factors stabilize intermediate expression levels, Cell, 187, 2746, 10.1016/j.cell.2024.03.023 · DOI
- Trojanowski, 2022, Transcription activation is enhanced by multivalent interactions independent of phase separation, Mol. Cell, 82, 1878, 10.1016/j.molcel.2022.04.017 · DOI · Paper page
- Boeynaems, 2023, Poly(A)-binding protein is an ataxin-2 chaperone that regulates biomolecular condensates, Mol. Cell, 83, 2020, 10.1016/j.molcel.2023.05.025 · DOI
- Ferrie, 2024, p300 is an obligate integrator of combinatorial transcription factor inputs, Mol. Cell, 84, 234, 10.1016/j.molcel.2023.12.004 · DOI
- Boija, 2018, Transcription Factors Activate Genes through the Phase-Separation Capacity of Their Activation Domains, Cell, 175, 1842, 10.1016/j.cell.2018.10.042 · DOI · Paper page
- Xu, 2023, TAZ2 truncation confers overactivation of p300 and cellular vulnerability to HDAC inhibition, Nat. Commun., 14
- Haghshenas, 2024, Menke-Hennekam syndrome; delineation of domain-specific subtypes with distinct clinical and DNA methylation profiles, HGG Adv., 5
- Pasqualucci, 2011, Inactivating mutations of acetyltransferase genes in B-cell lymphoma, Nature, 471, 189, 10.1038/nature09730 · DOI
- Mensah, 2023, Aberrant phase separation and nucleolar dysfunction in rare genetic diseases, Nature, 614, 564, 10.1038/s41586-022-05682-1 · DOI
- Conant, 2022, Inference of CRISPR edits from Sanger trace data, CRISPR J, 5, 123, 10.1089/crispr.2021.0113 · DOI
- Schindelin, 2012, Fiji: an open-source platform for biological-image analysis, Nat. Methods, 9, 676, 10.1038/nmeth.2019 · DOI · Paper page
- Thévenaz, 1998, A pyramid approach to subpixel registration based on intensity, IEEE Trans. Image Process., 7, 27, 10.1109/83.650848 · DOI
- Martin, 2011, Cutadapt removes adapter sequences from high-throughput sequencing reads, EMBnet J., 17, 10, 10.14806/ej.17.1.200 · DOI · Paper page
- Li, 2009, Fast and accurate short read alignment with Burrows-Wheeler transform, Bioinformatics, 25, 1754, 10.1093/bioinformatics/btp324 · DOI · Paper page
- Li, 2009, The Sequence Alignment/Map format and SAMtools, Bioinformatics, 25, 2078, 10.1093/bioinformatics/btp352 · DOI · Paper page
- Quinlan, 2010, BEDTools: a flexible suite of utilities for comparing genomic features, Bioinformatics, 26, 841, 10.1093/bioinformatics/btq033 · DOI · Paper page
- Kent, 2010, BigWig and BigBed: enabling browsing of large distributed datasets, Bioinformatics, 26, 2204, 10.1093/bioinformatics/btq351 · DOI
- Zhang, 2008, Model-based analysis of ChIP-Seq (MACS), Genome Biol., 9, 10.1186/gb-2008-9-9-r137 · DOI · Paper page
- Ewels, 2020, The nf-core framework for community-curated bioinformatics pipelines, Nat. Biotechnol., 38, 276, 10.1038/s41587-020-0439-x · DOI
- Ramírez, 2016, deepTools2: a next generation web server for deep-sequencing data analysis, Nucleic Acids Res., 44, W160, 10.1093/nar/gkw257 · DOI · Paper page
- Langmead, 2009, Ultrafast and memory-efficient alignment of short DNA sequences to the human genome, Genome Biol., 10, R25, 10.1186/gb-2009-10-3-r25 · DOI · Paper page
- Liao, 2014, featureCounts: an efficient general purpose program for assigning sequence reads to genomic features, Bioinformatics, 30, 923, 10.1093/bioinformatics/btt656 · DOI · Paper page
- Love, 2014, Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2, Genome Biol., 15, 550, 10.1186/s13059-014-0550-8 · DOI · Paper page
- Dobin, 2013, STAR: ultrafast universal RNA-seq aligner, Bioinformatics, 29, 15, 10.1093/bioinformatics/bts635 · DOI · Paper page
- Pettersen, 2021, UCSF ChimeraX: Structure visualization for researchers, educators, and developers, Protein Sci., 30, 70, 10.1002/pro.3943 · DOI
- Zhang, 2023, NONO enhances mRNA processing of super-enhancer-associated GATA2 and HAND2 genes in neuroblastoma, EMBO Rep., 24, 10.15252/embr.202254977 · DOI
Metadata
- Authors
- Gelder, K. L., Carruthers, N. A., Gilbert, G., Harrison, L. J., Evans, B. V., Evans, T. I., Ball, S. S., Dunning, M., Craggs, T. D., Twelvetrees, A. E., & Bose, D. A.
- Affiliations
- University of Sheffield (GB)
- Corresponding author
- Bose, Daniel A.
- ORCID
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2026-03
- Volume
- 45
- Issue
- 3
- Pages
- 117109
- ISSN
- 2211-1247 (ISSN-L)
- PMC
- PMC13013760
- OpenAlex
- W7135046135
- Cited by
- 5
- References
- 4
- Citations by year
- 2026: 2
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Funders
- The Royal Society
- Biotechnology and Biological Sciences Research Council
- Wellcome Trust
- UK Research and Innovation Medical Research Council
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- intrinsically disordered regions, CREB-binding protein, EP300, lysine acetylation, protein condensates, histone acetylation, chromatin occupancy, gene expression regulation, transcriptional coactivator, multidomain proteins
- MeSH terms
- Acetylation, Animals, Chromatin, Gene Expression Regulation, Histones, Humans, Protein Binding, E1A-Associated p300 Protein, CREB-Binding Protein, HEK293 Cells, Intrinsically Disordered Proteins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review