Biology subjects

Liu, Y.

Publications and source records attributed to Liu, Y..

At least 415 records · Page 23Linked to original sources

bioRxiv2026

AI-driven discovery and engineering of human endogenous nanocage proteins for mRNA delivery

Safe and effective gene delivery remains a central challenge for therapeutic applications. While non-viral and viral vectors have enabled substantial progress, their reliance on non-human components often triggers immune responses, limiting their use in chronic treatments. Here, we developed DeepDelivery, an artificial intelligence-driven platform to repurpose human proteins for mRNA delivery. An unbiased screening of the human proteome nominated 512 candidates, with experimental validation confirming that 80% of top-ranked hits form mRNA-encapsulating particles and mediate efficient functional delivery in human cells without provoking detectable inflammation. Notably, multiple tripartite motif (TRIM) family proteins, typically linked to antiviral responses, exhibited strong assembly and delivery activity. Quantitative analysis and interpretation of the model revealed structural domains that govern nanocage formation, enabling domain-guided engineering of TRIM25 variants with enhanced function. Our work establishes a generalizable framework for discovering human-derived delivery vehicles and provides a path toward programmable, non-immunogenic mRNA therapeutics.

synthetic biology↗

bioRxiv2026

Noncanonical loops regulated by EMF1 and cohesin-associated factors shape the distinct 3D genome architecture in plants

In mammals, cohesin-mediated chromatin loop extrusion is blocked at boundaries, where CTCF, WAPL, and PDS5s co-bind and regulate cohesin, establishing an impermeable barrier with no exceptions. In contrast, our study revealed that in Arabidopsis, some noncanonical contacts have emerged between the boundary flanking regions, which suggest that cohesin is not absolutely blocked but enables sliding beyond boundaries. We identified these interactions as noncanonical loops and clarified their regulatory proteins. Firstly, the plant-specific boundary binding protein EMF1 is essential for noncanonical loops formation. Surprisingly, although both Arabidopsis WAPLs and PDS5s inhibit loop extension as mammals, PDS5s do not co-bind and cooperate with WAPLs at boundaries. Instead, PDS5s bind to boundary-flanking regions enriched with H3K4me1 through their Tudor domains, restricting further extension of noncanonical loops. Consequently, pds5a/b/c mutants lose noncanonical loops, resulting in emergence of larger canonical loops but anchored on boundaries and co-upregulation of anchored gene pairs. Collectively, our findings reveal that the plant-specific noncanonical loop, regulated by plant-specific EMF1 and PDS5 proteins, is the fundamental structure of the distinctive chromatin organization of plants, which provides novel mechanistic insights into eukaryotic chromatin architecture regulation.

plant biology↗

bioRxiv2026

Neurons in the Human Substantia Nigra Respond to Cognitive Boundaries and Predict Memory

Segmenting mnemonic episodes from continuous experience is a key aspect of human episodic memory. The brain constantly forms predictions about what will happen next based on previous experience and knowledge, and prediction errors are thought to signal when a new event begins (cognitive boundaries). Dopamine has been closely linked to prediction error signals, yet it remains unknown how human midbrain neurons are modulated by cognitive boundaries and how their responses influence memory. To address these questions, we recorded activity of individual neurons in the human substantia nigra, a critical brain structure for dopamine production and regulation, while participants undergoing deep brain stimulation surgery watched a series of clips embedded with cognitive boundaries and performed a recognition memory task. We found that neural activity in the substantia nigra was robustly modulated by cognitive boundaries during clip viewing. Moreover, a subset of these boundary-responsive neurons also differentiated novel from familiar images during recognition, and their firing rates were indicative of participants memory success. These findings reveal that neurons in the human substantia nigra carry boundary- and novelty-related signals consistent with prediction error mechanisms that influence the encoding and retrieval of episodic memories.

neuroscience↗

bioRxiv2026

PhyloSOLID: Robust phylogeny reconstruction from single-cell data despite inherent error and sparsity

While lineage tracing based on somatic mutations in single-cell sequencing data offers a powerful approach to reconstructing cellular histories in vivo, its reliability is fundamentally limited by pervasive technical artifacts--specifically, high error rates and data sparsity. These issues introduce false phylogenetic signals that corrupt tree topology and lead to spurious evolutionary conclusions. To overcome these limitations, we present PhyloSOLID, a phylogenetic algorithm designed to be inherently robust to these data imperfections. PhyloSOLID employs a progressive scaffolding strategy that begins with graph-based construction of a low-resolution, high-confidence backbone tree from reliable and uniformly covered mutations. This scaffold is then refined through the iterative integration of remaining data, guided by a Bayesian statistical model that penalizes phylogenetic inconsistencies to effectively separate the true evolutionary signal from technical artifacts. Benchmarking on both simulated datasets and multiple ground-truth datasets demonstrates that PhyloSOLID achieves superior lineage reconstruction accuracy over existing methods, for both single-cell RNA-seq and DNA-seq data. Additionally, a user-friendly web interface enables customized quality assessment, artifact removal, and interpretation of lineage structures. PhyloSOLID provides a powerful solution for decoding cellular evolution in developmental and disease contexts.

bioinformatics↗

bioRxiv2026

eScreen: a deep learning framework for functionally decoding the regulatory genome at single-nucleotide resolution

The human genome is densely populated with cis-regulatory elements (CREs), yet deciphering their functional regulatory syntax and combinational logic remains a fundamental challenge. Here, we integrate 379 genome-scale CRISPR screen experiments, encompassing 21 million perturbations across 23 cell types, to construct a compendium of 41,239 high-confidence functional CREs from 530,527 candidates. Leveraging this resource, we develop eScreen, a deep learning model built on the StripedHyena2 architecture to functionally decode the regulatory genome at single-nucleotide resolution. eScreen achieves three primary functions: (1) predicts genome-wide cell-type-specific CRE functional activity with high accuracy, outperforming existing models; (2) provides mechanistic interpretation of regulatory syntax at single-nucleotide resolution; (3) dissects the functional organization of enhancer clusters through in silico perturbation analysis. We perform multiple independent CRISPR knockout, CRISPR interference (CRISPRi), and base editing screens to validate these functions of eScreen both at scale and on individual cases. Furthermore, we provide an interactive web server (https://escreen.huanglabxmu.com/) for the community to access the integrated CRISPR screen resources and eScreen functions. Collectively, our work establishes a highly precise and convenient tool to decode the causal effects of the regulatory genome.

genomics↗

bioRxiv2026

The genetic repertoire of the deep sea: from sequence to structure and function

The deep sea as the largest and maybe most hostile environment on Earth is still underexplored especially regarding its genetic repertoire. Yet, previous work has revealed significant habitat-specific deep-sea biodiversity. Here, we present an integrated deep-sea genetic dataset comprising 502 million nonredundant genes from 2,138 samples and 2.4 million predicted structures, and used it to link specific protein structures with genetic variants associated with life in the deep sea and to assess their biotechnology potential. Combining global sequence analysis with biophysical and biochemical measurements revealed unprecedented sequence diversity, yet substantial structural conservation of proteins. Especially proteins involved in replication, recombination, and repair were identified to be under rapid evolution and with specialized properties. Among these, a structurally divergent helicase exhibited advantages in controlling nanopore sequencing speed. Thus, our work positions the deep sea as a unique evolutionary engine that generates and hosts genetic diversity and bridges genetic knowledge with biotechnology.

bioinformatics↗

bioRxiv2026

Stem cell control and cancer initiation by an autocrine, injury-activated Igf complex

Stem cells rapidly proliferate after injury to repair damaged tissue, and chronic injury predisposes to cancer. However, injury-activated mitogens, the mechanisms that keep them inactive until injury, and their role in cancer are not understood. Here we identify Igf2 as the injury-activated mitogen for neuroendocrine stem cells, a facultative airway stem cell and origin of small cell lung cancer. Igf2 is constitutively produced by the stem cells but sequestered in inactive form by co-expressed Igf binding proteins. Injury releases Igf2 and induces proliferation by activating its receptors and repressing Rb tumor suppressor, which normally enforces stem cell quiescence. Persistent pathway activation initiates oncogenesis. Thus, in addition to its classical hormonal roles in physiology, growth, and aging, Igf operates locally with Igf binding proteins and Rb to control injury-induced stem cell activation and cancer. This pathway may also control related stem cells and cancers of the body and brain.

cell biology↗

bioRxiv2026

Metabolic Reprogramming Driven by mpSte11A Deletion Redirects Carbon Flux toward Overproduction of Monascus Pigments in Monascus spp

Monascus spp., a food fermentation microorganism, produced valuable secondary metabolites including Monascus pigments (MPs) which served as natural food colorants. However, rational metabolic engineering to enhance MPs production remained limited by the lack of regulatory targets that govern metabolic branching. Mitogen-activated protein kinase cascades, particularly the STE20-STE11-STE7 core module, regulated fungal growth and metabolism, but their roles in MPs biosynthesis remain unexplored. In this study, we functionally characterized MpSte11A, the first STE11 homolog identified in Monascus spp., through bioinformatic analysis and genetic manipulation. Most importantly, deletion of mpSte11A triggered a profound metabolic shift, which resulted in a 22-fold increase in MPs production. Integrated transcriptomic and metabolomic analysis revealed that MpSte11A functioned as a metabolic gatekeeper where its deletion redirected carbon flux from primary to MPs biosynthesis by controlling the TCA cycle. These findings not only elucidated the signaling role of the MAPK cascade in Monascus spp. specialized metabolism but also provided a robust strategy for re-engineering carbon partitioning to maximize the output of high-value secondary metabolites in filamentous fungal cell factories. ImportanceFilamentous fungi are versatile cell factories for the production of diverse high-value secondary metabolites, but the rational enhancement of these compounds is often limited by a lack of universal regulatory targets. In this study, we employed the food-fermentation fungus Monascus spp. as a model and identified MpSte11A as a master "metabolic gatekeeper" that governed the trade-off between fungal growth and secondary metabolism. By disrupting this single signaling node, we achieved a remarkable 22-fold increase in compound production. This significant enhancement resulted from a systematic redirection of carbon flux from primary growth (the TCA cycle) to secondary biosynthesis. This work provided a precise molecular blueprint for the reprogramming of fungal metabolism. It also demonstrated that the tuning of core MAPK modules is a powerful and broadly applicable strategy for the engineering of robust fungal cell factories producing a wide array of bioproducts. Graphical Abstract (For Table of Contents Only) O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/703344v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1b062a5org.highwire.dtl.DTLVardef@11c4cd6org.highwire.dtl.DTLVardef@f8a34eorg.highwire.dtl.DTLVardef@1a97f69_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2026

Critical assessment of intratumor and low-biomass microbiome using long-read sequencing

The detection of low-biomass microbial DNA in human tissues is often confounded by contamination, as demonstrated in the debates over the existence of microbiomes in the placenta, brain, blood, and tumors. Here we show that genomic DNA fragment length serves as a discriminator: while genuine microbiome genomes have long genomic DNA fragments, contaminant DNA is typically short. Using germ-free mouse tissues with bacterial spike-ins and human cell lines, we developed a metric that normalizes microbial read length to host read length. Across multiple human tumor and normal tissues, we found genuine microbiome signals are largely limited to tissues with natural microbial exposure (e.g., gastrointestinal tract, cervix, vagina, skin), while other tissues (e.g. kidney, brain, blood, and placenta) showed no evidence of resident microbiome. These findings support DNA fragment length as a metric for quality controlling low-biomass microbiome profiling, clarifying the debates and strengthen future studies of resident microbiome in tissues.

genomics↗

bioRxiv2026

YAP disrupts bile acid homeostasis to drive cancer-associated cachexia

Cancer-associated cachexia is a severe metabolic syndrome marked by dramatic loss of adipose and muscle mass. Although preclinical models have advanced our understanding of cachexia, there are still no approved therapies due to the limited insights into the mechanisms underlying tissue wasting. Here, we utilise a YAP-driven model of liver cancer in zebrafish, which rapidly develops cachexia, to uncover an evolutionarily conserved role for bile acid disruption in the onset of cachexia. Spatial transcriptomic analysis revealed that YAP induces a bi-lineage cholangiocarcinoma phenotype, which was associated with bile acid dysregulation. Mechanistically, we establish that both bile acid synthesis (via CYP7A1) and signalling through the bile acid receptor TGR5 are essential for cachexia induction. Notably, we find that the promotion of bile acid excretion with odevixibat ameliorates cachexia. Together, our findings reveal an evolutionarily conserved mechanism by which YAP promotes cachexia and suggest a potential therapeutic strategy to treat the syndrome.

cancer biology↗

bioRxiv2026

SLC33A1 exports oxidized glutathione to maintain endoplasmic reticulum redox homeostasis

The endoplasmic reticulum (ER) requires an oxidative environment to support the efficient maturation of secretory and membrane proteins. This is in part established by glutathione, a redox-active metabolite present in reduced (GSH) and oxidized (GSSG) forms. The ER maintains a higher GSSG:GSH ratio than the cytosol; however, the mechanisms controlling ER redox balance remain poorly understood. To address this, we developed a method for the rapid immunopurification of the ER, enabling comprehensive profiling of its proteome and metabolome. Combining this approach with CRISPR screening, we identified SLC33A1 as the major ER GSSG exporter in mammalian cells. Loss of SLC33A1 leads to GSSG accumulation in the ER and a liposome-based assay demonstrates that SLC33A1 directly transports GSSG. Cryo-EM structures and molecular dynamics simulations reveal how SLC33A1 binds GSSG and identify residues critical for its transport. Finally, an imbalance in GSSG:GSH ratio induces ER stress and dependency on the ER-associated degradation (ERAD) pathway, driven by a shift in protein disulfide isomerases (PDIs) toward their oxidized forms. Altogether, our work establishes SLC33A1-mediated GSSG export as a key mechanism for ER redox homeostasis and protein maturation.

cell biology↗

bioRxiv2026

Molecular architecture of the tumor microenvironment caused by BRCA1 and BRCA2 somatic mutations in lung adenocarcinoma

ObjectivesHomologous recombination repair (HRR) deficiency is associated with improved immunotherapy responses in non-small cell lung cancer (NSCLC) patients. The HRR genes BRCA1/2 are key regulators of DNA repair, yet their impact on the tumor microenvironment (TME) in lung adenocarcinoma (LUAD) remains unclear. MethodsUsing single-cell sequencing and multi-omics data, we characterized BRCA1/2 mutation-associated transcriptional programs, immune cell composition, and functional alterations in T cells, investigating the molecular and immune architecture of BRCA-mutant LUAD patients. ResultsBRCA1/2 mutations were associated with increased genomic instability and poor prognosis in LUAD patients, but predicted better clinical outcomes following immune checkpoint blockade (ICB) treatment. BRCA1 mutations correlated with an upregulated type I IFN/IFN-{gamma} signature and CD8+ T cell activation. BRCA2 mutations were associated with alveolar/stress/inflammatory responses and enhanced MHC-II antigen presentation, linked to CD4+ T cell differentiation. Both alterations coincided with reduced CD28 co-stimulation and CTL activity, hinting of immune evasion. We identified two tissue-resident memory T cell (Trm) subsets as predictors of clinical outcomes and ICB response. BRCA1 mutations were associated with CD8+ Trm expansion, whereas BRCA2 mutations linked to tumor CD4+ Trm expansion and peripheral T/NK cell cytotoxicity. Furthermore, a cancer-promoting program activated by BRCA1 mutation was vulnerable to histone deacetylase inhibitors, which inhibited LUAD tumor growth. ConclusionsThis study provides a preliminary characterization of the BRCA-mutant TME in LUAD patients, revealing distinct transcriptional and immune patterns that highlight differences in BRCA1/2-associated molecular architecture and offer a framework for improving therapy efficacy in LUAD.

cancer biology↗

bioRxiv2026

Hydrogel-imposed boundary conditions guide single-lumen neuroepithelial morphogenesis

Three-dimensional (3D) stem cell-based cultures have emerged as promising in vitro model systems for studying human neurodevelopment. Current neural organoid protocols lack well-defined extracellular matrix (ECM) signaling and are limited by the formation of irregular tissue morphologies with multiple organizing centers, in contrast to the single neuroepithelial structure that emerges during embryonic development. This variability limits inter-organoid reproducibility and constrains their utility for modeling early developmental processes. To overcome these limitations, we leverage a materials-based approach to impose dynamic boundary conditions that extrinsically guide the self-organization of human induced pluripotent stem cells (iPSCs). Specifically, we develop a family of hyaluronic acid-elastin-like protein (HELP) hydrogels crosslinked with dynamic covalent bonds that recapitulate key biochemical and biophysical properties of the developing human neural ECM. Within these HELP hydrogels, iPSCs robustly self-organize from a single cell into complex neuroepithelial tissues with a single lumen. By tuning the boundary conditions imposed by the hydrogel, we identify matrix stress relaxation rate and tensional homeostasis as key regulators of single-lumen rosette formation and maintenance. With this hydrogel-enabled system, we identify phenotypic abnormalities in an early neurodevelopmental model of 22q11.2 deletion syndrome. Ultimately, our tunable engineered hydrogel supports the initiation of single-cell derived 3D neuroepithelial tissues, enables investigation into how matrix-imposed boundary conditions guide developmental morphogenesis, and establishes a reproducible platform for disease modeling.

bioengineering↗

bioRxiv2026

α-tACS Modulates Reward-Dependent Pupil Responses and Corticostriatal Connectivity

IntroductionNoninvasive brain stimulation can help clarify the neural basis of reward processing and potentially inform treatments for disorders involving reward dysfunction. However, widely used methods such as transcranial magnetic and electrical stimulation cannot directly stimulate deep-brain regions like the striatum. Here, we tested whether stimulating the ventrolateral prefrontal cortex (VLPFC)--a cortical region strongly connected to the striatum-- could indirectly influence reward-related neural and physiological responses. MethodsIn a within-subjects design, participants performed a card-guessing task involving monetary rewards for correct guesses and punishments for incorrect guesses. During the task, participants underwent functional magnetic resonance imaging (fMRI) and pupillometry while receiving concurrent 10 Hz transcranial alternating current stimulation (-tACS). Stimulation targeted either the VLPFC or a control region (temporoparietal junction). We measured pupil dilation, brain activation (BOLD signal), and functional connectivity between the ventral striatum and dorsal anterior cingulate cortex (VS-dACC). ResultsVLPFC stimulation increased pupil size during reward and punishment outcomes, indicating greater physiological arousal. At the neural level, -tACS enhanced VLPFC activation during reward and suppressed its responses during punishment. Stimulation also changed VS- dACC connectivity in a context-dependent manner. Importantly, stimulation-driven increases in pupil size during reward correlated positively with stimulation-induced changes in VS-dACC connectivity. Exploratory moderated mediation analyses suggested that stimulation influenced the degree to which striatal responses mediated the relationship between task outcomes and pupil size changes. ConclusionsTargeting VLPFC with -tACS modulates local cortical activity and corticostriatal networks during reward processing, providing a promising noninvasive approach to influence reward circuitry. HighlightsO_LI-tACS over VLPFC increases pupil responses to reward and punishment. C_LIO_LIStimulation alters reward-related VLPFC activity without enhancing striatal BOLD. C_LIO_LI-tACS modulates ventral striatum-dACC connectivity in a task-dependent manner. C_LIO_LIConnectivity changes predict pupil dilation, linking brain and autonomic responses. C_LI

neuroscience↗

bioRxiv2026

Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts

Brain charts, or normative models of quantitative neuroimaging measures, can identify trajectories of brain development and abnormalities in groups and individuals by leveraging large populations. Recent work has extended these brain charts to model microstructural and macrostructural features of white matter. Assessments of variance for these brain charts are necessary to determine whether the models being used for these data are stable. We implement an analytic approach to characterize variability of the parameters in previously released brain charts created using the generalized additive models for location, scale, and shape (GAMLSS) framework. Additionally, we empirically validate the accuracy of each analytic model through a comparison to a bootstrapping approach from 0.2 to 90 years of age. We find that across all models, the analytic coefficient of variation (COV) remains below 5% for ages greater than 0.25 years, with the maximum empirical observed COV reaching 7% at 0.2 years of age. Further, the empirical assessment shows high agreement with the analytic assessment, with COV estimates averaged across the lifespan for all models having a Pearson correlation coefficient of 0.776 and a mean difference of 4 x 10-4. Both methods exhibit volume and surface area as the features with the largest average COV for the majority of tracts. However, the analytic assessment yields axial diffusivity as the feature most frequently having the smallest COV, whereas the corresponding feature for the empirical assessment is average length. These results suggest that the analytic approach overestimates model stability for WM brain charts when the COV is low and that the validation method is suitable for assessing whether GAMLSS models are unstable.

bioengineering↗

bioRxiv2026

Alpha oscillations are dysrhythmic in Fragile X syndrome

BackgroundAlpha oscillations are dominant rhythms in the human brain, supporting inhibitory control and coordination of neural activity. Altered alpha dynamics are observed across many neuropsychiatric and neurodevelopmental disorders, including Fragile X syndrome (FXS), the most common monogenic cause of autism and intellectual disability. FXS exhibits paradoxical alpha power: elevated absolute but reduced relative power. To resolve this incongruity, we considered that conventional power metrics, relying on averaging, may obscure the underlying critical temporal dynamics of such neural rhythms. MethodsHere, we investigate alpha oscillations in FXS as a model to decompose nonspecific alpha abnormalities into underlying temporal features. We used cycle-by-cycle (bycycle) alpha burst analysis from source-localized resting-state EEG of 70 individuals with FXS (20.5{+/-}10.0 years; 32 females, 38 males) and 71 age- and sex-matched typically developing controls (22.2{+/-}10.7 years; 30 females, 41 males). Statistical modeling examined group, sex, and regional differences in alpha burst features using generalized linear mixed-effects models. ResultsWe reveal that alpha bursts in FXS show reduced count only in males, prolonged periods across sexes, and elevated amplitudes, particularly in males. Spatial mapping identified differential circuit vulnerability: timing-associated dysregulation in cognitive-control regions and amplitude elevations in sensory cortices. Within the FXS group, global alpha burst amplitude correlated with hyperactivity symptoms and inversely with general intelligence scores, and burst count correlated with age. LimitationsThis study is limited by its resting-state design and cross-sectional nature. Future studies should explore task-based modulation of alpha burst features and longitudinal trajectories in FXS. Additionally, fragile X messenger ribonucleoprotein (FMRP) was not quantified for participants, limiting potential stratification by molecular severity. ConclusionsThese findings resolve paradoxical alpha power in FXS into features consistent with interneuron dysfunction, demonstrating the potential for burst-level decomposition in mechanistic hypothesis generation and biomarker development across neurodevelopmental and neuropsychiatric disorders.

neuroscience↗

bioRxiv2026

Catch-and-Display Immunoassay as an Accessible Platform for Digital Biomarker Detection

Digital immunoassays provide exceptional analytical sensitivity for detecting low-abundance biomarkers, but their broad adoption is limited by practical barriers. Commercial platforms are prohibitively expensive for routine use by individual laboratories, and laboratory-scale concepts typically describe specialized biosensors and sophisticated workflows. Here, we introduce a nanomembrane-based Catch-and-Display Immunoassay (CAD-IA) as a cost-effective and laboratory-friendly digital immunoassay for common research settings. In CAD-IA, fluorescent nanoparticles are "captured" by the nanoscale pores of ultrathin silicon nitride membranes through a pipette powered filtration. The captured nanoparticles serve as optically isolated hotspots for fluorescent immunocomplex formation when target antigen is present. Co-localization of the fluorescent particles and fluorescent immunocomplexes are then "displayed" and quantified by standard confocal microscopy to generate digital signals. CAD-IA is implemented using the {micro}SiM-DX (microfluidic device featuring an ultrathin silicon membrane for diagnostics) platform, which is manually assembled from mass produced, cost-effective components. Using the traumatic brain injury (TBI) biomarker S100B as a model, we demonstrate that CAD-IA provides consistent digital outputs and linear quantification with a dynamic range of at least two orders of magnitude when digital and analog analysis are combined on the same image sets. We further demonstrate that the assay maintains linearity in serum matrices and achieves suitable sensitivity (LoD = 0.02 g/mL) for clinically relevant diagnostic with the addition of tyramide signal amplification (TSA). While further optimization of CAD-IA is possible, these results constitute a proof-of-concept demonstration of a novel digital immunoassay deployable in most research laboratories.

bioengineering↗

bioRxiv2026

p300/CBP-Driven Acetylation Stabilizes PARP7 to Reinforce Negative Feedback on IFN-I Signaling

Immune suppression within the tumor microenvironment (TME) remains a major barrier to effective immunotherapy, yet the molecular mechanisms that constrain type I interferon (IFN-I) signaling in tumor cells are incompletely understood. PARP7 (also known as TIPARP), a mono-ADP-ribosyltransferase, has been reported to suppress IFN-I signaling by modifying TBK1. Here, we identify PARP7 as a previously unrecognized acetylation substrate of the histone acetyltransferases p300 and CBP. We show that p300/CBP-mediated acetylation of PARP7 at lysine 32 markedly enhances its stability, thereby reinforcing repression of the TBK1-IRF3-STAT1 axis and suppressing IFN-{beta}-induced expression of interferon-stimulated genes, including CXCL10. Beyond their established function as transcriptional co-activators that support tumor cell proliferation, our findings uncover a direct role for p300/CBP in shaping innate antitumor immunity. Pharmacological inhibition of p300/CBP catalytic activity by A-485 abolishes PARP7 acetylation, accelerates its proteasomal turnover, and restores IFN-I signaling. In immunocompetent tumor models, this is accompanied by enhanced CD8+ T-cell infiltration and effector function. Together, these findings define a p300/CBP-PARP7 regulatory axis, uncover a non-canonical role for p300/CBP in innate immune suppression, and nominate this pathway as a tractable target for restoring antitumor immunity.

cancer biology↗