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Record W4405218591 · doi:10.1101/2024.12.09.627393

The CECR2 bromodomain displays distinct binding modes to select for acetylated histone proteins versus non-histone ligands

2024· preprint· en· W4405218591 on OpenAlexaff
Margaret Phillips, Elizabeth D. Cook, Matthew R. Marunde, Marco Tonelli, Laiba F Khan, Amy Henrickson, James Lignos, Janet Stein, Gary S. Stein, Seth Frietze, Borries Demeler, Karen C. Glass

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsBromodomainAcetylationHistoneHistone methyltransferaseHistone H2AHistone H3ChemistryEpigeneticsHistone methylationIsothermal titration calorimetryBiochemistryBiologyCell biologyDNA methylationGene expressionGene

Abstract

fetched live from OpenAlex

ABSTRACT The cat eye syndrome chromosome region candidate 2 (CECR2) protein is an epigenetic regulator involved in chromatin remodeling and transcriptional control. The CECR2 bromodomain (CECR2-BRD) plays a pivotal role in directing the activity of CECR2 through its capacity to recognize and bind acetylated lysine residues on histone proteins. This study elucidates the binding specificity and structural mechanisms of CECR2-BRD interactions with both histone and non-histone ligands, employing techniques such as isothermal titration calorimetry (ITC), nuclear magnetic resonance (NMR) spectroscopy, and a high-throughput peptide assay. The CECR2-BRD selectively binds acetylated histone H3 and H4 ligands, exhibiting a preference for multi-acetylated over mono-acetylated targets. The highest affinity was observed for tetra-acetylated histone H4. Neighboring post-translational modifications, including methylation and phosphorylation, modulate acetyllysine recognition, with significant effects observed for histone H3 ligands. Additionally, this study explored the interaction of the CECR2-BRD with the acetylated RelA subunit of NF-κB, a pivotal transcription factor in inflammatory signaling. Dysregulated NF-κB signaling is implicated in numerous pathologies, including cancer progression, with acetylation of RelA at lysine 310 (K310ac) being critical for its transcriptional activity. Recent evidence linking the CECR2-BRD to RelA suggests it plays a role in inflammatory and metastatic pathways, underscoring the need to understand the molecular basis of this interaction. We found the CECR2-BRD binds to acetylated RelA with micromolar affinity, and uses a distinctive binding mode to recognize this non-histone ligand. These results provide new insight on the role of CECR2 in regulating NF-κB-mediated inflammatory pathways. Functional mutagenesis of critical residues, such as Asn514 and Asp464, highlight their roles in ligand specificity and binding dynamics. Notably, the CECR2-BRD remained monomeric in solution and exhibited differential conformational responses upon ligand binding, suggesting adaptive recognition mechanisms. Furthermore, the CECR2-BRD exclusively interacts with nucleosome substrates containing multi-acetylated histones, emphasizing its role in transcriptional activation within euchromatic regions. These findings position the CECR2-BRD as a key chromatin reader and a promising therapeutic target for modulating transcriptional and inflammatory processes, particularly through the development of selective bromodomain inhibitors. HIGHLIGHTS The CECR2 bromodomain recognizes a range of combinatorial PTMs on the histone H3 and H4 N-terminal tails. The CECR2 bromodomain binds to an acetylated RelA ligand with micromolar affinity. NMR perturbation studies delineate the distinct binding modes driving CECR2-BRD recognition of histone versus non-histone ligands. Site-directed mutagenesis reveals the specificity determinants of CECR2-BRD ligand binding. The bromodomain of CECR2 exhibits a strong interaction with multi-acetylated nucleosomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.262
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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