Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.07.24.665437

Consensus DNA Inhibits p53 Aggregation but Fails to Rescue Mutants

Abstract

The tumor suppressor p53 plays a crucial role in regulating gene expression under cellular stress. Somatic mutations to its DNA-binding domain are common in lethal cancers and lead to lost regulatory function and pathological hallmarks, such as misfolded p53 aggregates and amyloid-like fibrils. Despite decades of these observations, the molecular determinants driving p53 aggregation and its role in cancer incidence, progression, and lethality remain poorly defined. Identifying these determinants, however, is critical for developing therapeutic interventions that modulate protein solubility in cancer and understanding disparities in cancer outcomes. Therefore, we investigated whether consensus DNA sequences that stabilize wild-type p53 are sufficient to regulate the aggregation of oncogenic p53 mutants with reduced binding affinities. Using a combination of probe-based and label-free spectroscopic and microscopic techniques, we examined how consensus (p21, Bax) and non-consensus (p21-scramble, Poly-GC) DNA oligonucleotides regulate the aggregation of wild-type p53 in comparison to three cancer-associated mutants (R248Q, R273H, and R175H). We find that equimolar p21 consensus sequences significantly inhibits wild-type p53 aggregation, while other DNA sequences do not. In contrast, oncogenic p53 mutants evaded DNA regulation of protein aggregation, and some oligonucleotides even enhanced aggregation at low concentrations, which suggests concentration-dependent DNA-p53 interactions. These findings emphasize that DNA response elements are sufficient for regulating wild-type p53 aggregation in solution. However, key somatic mutations in cancer promote aggregation at the expense of DNA-binding, directly leading to the loss of p53 solubility through biochemical interactions. Taken together, these observations suggest that potent regulators of p53 aggregation should aim to restore affinity between oncogenic p53 mutants and regulatory DNA to minimize the pathological hallmarks of lethal tumors. Significance StatementOur research investigates whether DNA sequences that bind tumor suppressor protein p53 regulate its aggregation behavior in wild-type and somatically mutated forms linked to cancer. While specific DNA sequences regulate p53 aggregation, protein mutations that reduce affinity for consensus DNA or destabilize p53s conformation result in persistent, likely dysfunctional aggregates, even in the presence of regulatory nucleotides. Unsurprisingly, p53 and its mutants exhibit increased aggregation when there is substantially more protein to DNA, suggesting insufficient regulatory DNA or excess unregulated p53 may inevitably lead to pathological aggregation. These findings clarify our understanding of p53s molecular behavior and suggest that cancer-linked somatic mutations enable p53 to evade DNAs regulatory effects and subsequently aggregate, leading to downstream losses in function.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Steinsaltz, M., Gomes, G.-N. W., Levine, Z. A.. 2025-07-26. Consensus DNA Inhibits p53 Aggregation but Fails to Rescue Mutants. https://doi.org/10.1101/2025.07.24.665437

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A Minimally Perturbative DARPin Probe for Quantitative Fluorescence Imaging of the Human TCR-CD3 Complex

Fluorescence microscopy is a powerful tool for dissecting the molecular mechanisms of T-cell antigen recognition in living cells, but its quantitative insight critically depends on non-perturbative, high-quality probes. Here, we repurpose a small (~15 kDa) CD3epsilon-binding DARPin (designed ankyrin repeat proteins) to a fluorescent label for T-cell receptor (TCR)/CD3 complexes on primary human CD8+ T-cells, with the aim of generating a powerful tool for quantitative analysis, single-molecule tracking, and advanced imaging of TCR dynamics. We show that the DARPin binds CD3{varepsilon} with high affinity and selectivity and using single molecule tracking and brightness analysis, we characterize the TCR-CD3 diffusion behavior and show that the DARPin binds to both CD3epsilon; subunits. Importantly, labeling preserves antigen sensitivity: on supported lipid bilayers presenting cognate pMHC, T-cells remain responsive, assemble synapses, form TCR microclusters, and initiate signaling similar to unlabeled controls. We further demonstrate compatibility with lattice light-sheet microscopy for volumetric imaging of T-cell - APC interactions in living cells. Together, these results establish DARPins as versatile, minimally perturbative probes for high resolution, quantitative studies of T cell synapse organization and signaling.

biophysics↗

Monitoring intramolecular dynamics across two regions of the mouse prion protein during misfolding and oligomerization using fluorescence correlation spectroscopy

It is important to determine whether native state dynamics drive the misfolding and oligomerization of the prion protein, which are important events in prion disease, and how they are modulated by conformational conversion. Native (N) mouse prion protein (moPrP) is known to form small (OS) and large (OL) oligomers rich in {beta}-sheet, and in this study, photoinduced electron transfer-fluorescence correlation spectroscopy (PET-FCS) has been used to characterize intramolecular dynamics within individual monomeric units in both isolated OS and OL, as well as the diffusion properties of the oligomers. It is estimated that OS and OL comprise of about 15 and 55 monomeric units, respectively. Microsecond dynamics at each of the two regions that are the 1-3 and 2-3 interfaces of native protein are distinct in N, OS and OL, although they occur on very similar timescales. Analysis of the evolution of the distribution of diffusion times, determined using the maximum entropy method, indicates heterogeneity in the oligomerization reaction. Analysis of the change in the fluctuations which occur in two different timescales in the native state ensemble shows that they are damped more at the erstwhile 1-3 interface than the erstwhile 2-3 interface. The difference in the extent of damping at the erstwhile 1-3 and 2-3 interfaces can be explained on the basis of the structural changes known to occur across each region. The changes in dynamics occur concurrently in both regions, indicating that the structural changes accompanying conformational conversion also occur simultaneously during the oligomerization of moPrP.

biophysics↗

Combining CHARMM36m with OPC water improves accuracy

Atomistic simulations of intrinsically disordered proteins (IDPs) are notoriously sensitive to force field inaccuracies, either regarding the protein or the water model, yielding inaccurate observables such as compactness, secondary structure propensities, or kinetics. The currently most widely used IDP force fields are Amber99sb-disp (A99disp) and Charmm36m (C36m). A99disp includes a new water model and thus optimized both, the protein and the water interactions. In contrast, C36m used the Tip3p water model and optimized only protein interactions. In many cases, C36m+Tip3p underestimates radii of gyration compared to FRET or SAXS experiments. Such overly compact structural ensembles are believed to arise from an imbalance between protein-protein, protein-water, and water-water interactions, which might be due to Tip3p inaccuracies. Here, we aim at re-balancing these interactions by combining C36m with the Optimal Point Charge (OPC) water model. Recently, this C36m+OPC combination showed improved accuracy for the disordered domain of the measles virus nucleoprotein. Here we present a systematic assessment, comparing C36m+OPC, C36m+Tip3p, C36m+Tip4p, C22*, A03ws, A99sb-ws, and A99disp for five IDPs, as well as a subset of those for five globular proteins, a set of disordered AGQ-repeat peptides, and the fast folding miniprotein CLN025. We compared extensive MD simulations (> 8.5 ms) with SAXS, NMR, circular dichroism, photo-induced electron transfer (PET), T-jump infrared spectroscopy, and X-ray crystallography measurements. We found that combining C36m with OPC improved accuracy over C36m+Tip3p for IDP ensembles without compromising its accuracy for globular proteins. While also the kinetics of the AGQ-peptides were more accurate for C36m+OPC, those of CLN025 folding were less accurate. Overall, C36m+OPC showed similar accuracy as A99sb-ws and A99disp, the latter is currently considered among the most accurate protein force fields.

biophysics↗