Biology subjects

Zhao, B.

Publications and source records attributed to Zhao, B..

At least 19 recordsLinked to original sources

bioRxiv2026

Evolution of histone mRNA 3' end processing machinery in eukaryotes

Replication-dependent histone mRNAs in metazoans terminate in a conserved 3' stem-loop (SL) recognized by stem-loop binding protein (SLBP) and processed by a specialized U7 snRNP-dependent cleavage machinery. Outside animals, the evolutionary history of this pathway remains poorly resolved, and fungi and most plants are widely thought to have lost SLBP-SL-dependent histone mRNA processing entirely. Here, we combine large-scale homology searches, structural and domain analyses, and genome-wide mapping of histone 3'-end features across eukaryotes to reconstruct the evolution of histone mRNA processing machinery. We show that SLBP, stem-loop motifs and multiple U7-associated factors are far more broadly distributed across eukaryotes than previously appreciated, revising earlier models of widespread loss outside metazoans. Contrary to prevailing views, early-diverging fungal lineages retain SLBP orthologs with conserved RNA-binding domains, stem-loop motifs and additional components of the canonical pathway. Across fungi, we identify a clade-wise shift from SL-associated processing features toward canonical polyadenylation-associated features. Early-diverging fungi retain noncanonical poly(A) polymerases alongside SLBP and stem-loop motifs despite sparse U7-associated machinery, consistent with a previously unrecognized intermediate state in histone mRNA 3'-end processing. Our results support a stepwise evolutionary transition from ancestral SLBP/stem-loop-associated histone mRNA processing to canonical polyadenylation and provide a revised framework for the evolution of histone mRNA 3'-end formation in eukaryotes.

evolutionary biology↗

bioRxiv2026

Decoupling of spontaneous and evoked activity in locus coeruleus neurons: early synaptic and ion-channel remodeling in a mouse model of Alzheimer's disease

The locus coeruleus (LC) is among the earliest brain regions affected in Alzheimer's disease (AD), yet the mechanisms underlying its early vulnerability remain poorly understood. Clarifying synaptic and intrinsic dysfunction in LC noradrenergic (NE) neurons is essential to determine how noradrenergic circuit failure contributes to prodromal AD. We combined whole-cell patch-clamp recordings with quantitative immunofluorescence to examine synaptic transmission, firing properties, voltage-gated currents, and synaptic organization in LC/NE neurons from young 3xTg mice prior to substantial neurodegeneration. Young 3xTg mice exhibited reduced excitatory and enhanced inhibitory synaptic input onto LC/NE neurons. Consistent with these functional shifts, structural analysis revealed decreased densities of VGLUT2, PSD95, and paired VGLUT2-PSD95 puncta, alongside increased VGAT, gephyrin, and paired VGAT-gephyrin puncta. Despite this net synaptic suppression, LC/NE neurons displayed elevated spontaneous firing rates but a markedly reduced capacity to generate spike output during sustained depolarization. Voltage-clamp recordings revealed a diminished total voltage-gated K current density alongside reduced voltage-gated Na current density, without significant shifts in their voltage-dependence or kinetics. These biophysical alterations provide a mechanistic basis for the divergent firing phenotype: reduced K current; conductance likely facilitates spontaneous pacemaker activity, whereas diminished Na current; current constrains repetitive, input-driven spike generation. Together, these findings demonstrate that LC/NE neurons undergo coordinated synaptic and ion-channel remodeling during prodromal AD. This unique decoupling of spontaneous baseline activity from stimulus-evoked excitability may impair dynamic noradrenergic modulation, positioning early LC cellular dysfunction as a candidate driver of network instability and a novel therapeutic target.

neuroscience↗

bioRxiv2026

Complex enzyme active site scaffolding by iteratively detuned catalytic guidance

De novo enzyme design requires sequences whose structures reproduce prescribed catalytic geometries. This remains challenging for active sites that couple multiple catalytic residues, cofactors and substrates. Here we introduce the Catalytic Guidance Engine (CaGE), which optimizes designed sequences to satisfy complex sets of functional constraints by alternating constraint guided structure prediction trajectories with sequence design, gradually fading the strength of the constraint information over cycles to nudge the designed sequence towards satisfying all the constraints. We train RF3 to accept atom-pair distances and other design conditions, and use classifier-free guidance to fade their influence over multiple design cycles. We also develop training-free motif guidance protocols which operate at inference time by directly adjusting selected atoms towards the design target geometry during diffusion sampling. CaGE improves catalytic-motif geometry across a diverse enzyme benchmark and yields sequences that recover complex target active sites in independent AF3 predictions. We experimentally demonstrate the power of CaGE by designing active enzymes with complex catalytic sites: a nonheme-iron design positions four active-site residues around an iron centre and a transition-state ligand, and a PLP-dependent design positions four catalytic residues around a PLP cofactor with multiple functional groups. Active site substitutions and a 2.7[A] crystal structure support the designed mechanisms and structures. Thus, CaGE provides a route to functional de novo enzymes with complex active sites.

bioengineering↗

bioRxiv2026

Biological rationales from language models enable leakage-resistant forecasts of target-indication success

Identifying which target-indication (T-I) hypotheses can translate into clinical success remains a central challenge in drug discovery. We present PRIORITI (Prospective Rationale-Informed Outcome Reasoning for Integrated Target-indication Intelligence), a leakage-resistant framework that separates upstream biological evidence synthesis from outcome prediction. Given only a target gene and disease indication, a domain-instructed large language model (LLM) synthesizes drug-agnostic human genetics across prespecified channels. These evidence were embedded and combined with static entity context derived from gene summaries and disease definitions. The resulting representation is used to fit a supervised model trained on 6,784 temporally curated historical T-I outcomes, which is one of the largest cohorts assembled for this task. On a held-out historical test set of 1,696 T-I pairs, PRIORITI achieved a ROC-AUC of 0.883 and an expected calibration error (ECE) of 0.023, outperforming both a static target and indication context baseline and a human-curated genetic-evidence reference. On a strictly post-cutoff out-of-time benchmark of 765 T-I pairs, the largest such evaluation cohort reported to date, performance remained robust, with ROC-AUC 0.817, PR-AUC 0.357 and ECE 0.044, exceeding static target and indication context baseline and direct zero-shot LLM forecasting. A label-blinded LLM-based explainer further converted locked predictions into auditable prioritization rationales. Together, PRIORITI provides a calibrated, biology-first probability together with decision-oriented rationales for T-I prioritization before downstream translational investment.

bioinformatics↗

bioRxiv2026

Tissue resident CD4+ memory T-cells mark response to immune checkpoint inhibition in high-grade glioma

Background: Immune checkpoint inhibitors (ICI) are efficacious in many solid tumors, but response in glioma is restricted to a small subgroup. The determinants of response and resistance to ICI remain poorly understood. Methods: Here we exploit a syngeneic hypermutated high-grade glioma model with dichotomous response to combined PD-1 and CTLA-4 inhibition to unravel determinants of tumor-infiltrating T-cells driving response. Tumor-infiltrating T-cells from ICI-responsive and non-responsive tumors were analyzed by single-cell RNA and T-cell receptor sequencing and tumor-reactive T-cell receptor clonotypes were functionally validated to characterize their transcriptional phenotypes. We verify our findings in IDH1 wildtype glioblastoma patients treated with neoadjuvant pembrolizumab. Results: ICI response was associated with intratumoral clonal expansion of tumor-reactive cytotoxic T-cells and increased infiltration of CXCR6+ CD4+ tissue resident memory T-cells (Trm). CD4 stem-like memory T-cells in responding tumors demonstrated elevated interferon responses, following trajectories toward clonally expanded Trm, versus trajectories toward exhaustion in non-responsive tumors. In responsive tumors, CD4+ Trm interacted with infiltrating CXCR3+ tumor-reactive and clonally expanded, yet transcriptionally versatile cytotoxic T-cells. Probing the post neoadjuvant ICI high-grade glioma patient tissue dataset, we confirmed increased CXCR6 expression in CD4+ T cells and the association of CD4+ Trm with prolonged overall survival. Conclusion: These findings identify CD4 tissue-resident memory T-cells as determinants of ICI response in IDH1 wildtype high-grade glioma and warrant their further investigation to improve immunotherapy outcomes.

cancer biology↗

bioRxiv2026

A Human Genome-wide CRISPR-Cas9 Screen Reveals Host Factors That Support Epstein-Barr Virus B cell infection

Epstein-Barr virus (EBV) infects 90% of the population worldwide and is associated with multiple malignancies, including Burkitt, Hodgkin and post-transplant lymphomas, nasopharyngeal and gastric carcinoma. EBV also triggers autoimmune diseases, including multiple sclerosis and systemic lupus erythematosus. While host factors important for EBV B-cell entry have been defined, including CD21/CR2, MHC class II and R9AP, much remains to be learned about host factors that support post-entry steps of EBV infection. To gain insight, we conducted a human genome-wide CRISPR-Cas9 screen. In addition to known EBV B cell receptors/co-receptors, we identified multiple new factors and pathways essential for EBV B cell infection. These included multiple B cell signaling pathways, actin cytoskeleton and nuclear import factors. Knockout of CD19, its tetraspanin chaperone CD81 or karyopherin subunit alpha 1 (KPNA1, also called importin-5) significantly impaired establishment of EBV infection. EBV and CD19 co-localized at early stages of EBV infection, and the CD19 cytoplasmic tail was important for EBV infection, suggesting CD19 signaling supports EBV uptake. Depletion of KPNA1 significantly impaired establishment of EBV infection, but did not impair production of infectious EBV upon reactivation of latently infected B cells. Together, these results provide insights into pathways that support EBV B cell infection and identify potential therapeutic targets.

microbiology↗

bioRxiv2026

A breeder in the sky: scoring flowering with fewer flights

Flowering time is a trait of broad interest and importance to both plant breeders and plant biologists. Unlike many other traits, flowering time cannot be scored accurately from a single observation; its measurement requires repeated observations of the same experiments over time. Both classification- and object-detection-based approaches have demonstrated the potential to estimate flowering time from Unmanned aerial vehicle (UAV) imagery rather than by manual observation, but they still require data collection at many time points. Here, we train and deploy a regression-based framework for scoring flowering time. Using a dataset of more than 200,000 UAV images and associated flowering-time records collected across 27 environments, we demonstrate that this approach enables the prediction of flowering time from as few as one observation per field experiment and successfully generalizes to field experiments in environments not represented in the training dataset. These results indicate that regression-based approaches for predicting flowering time from sparse UAV observations have the potential to substantially reduce the data-collection burden in field experiments

plant biology↗

bioRxiv2026

Unbiased, systematic surfaceome profiling of Acute Leukemia to identify novel immunotherapy targets

Cell surface proteomics provides a direct topological assessment of the outer membrane of cells and enables the capture of low abundance proteins that may be missed by whole cell proteomics. Here we present an unbiased atlas of the whole cell and surface proteomes of 25 commonly used leukemic cell lines, encompassing both lymphoid and myeloid lineages, and a variety of driver mutations. Paired-wise analysis highlights recurrent surface proteins that are not detected by whole cell proteomics. Coupling this dataset to RNA-sequencing, we also discovered genes where protein and RNA abundances are discordant. In KMT2A-rearranged AML, CD70 expression was increased across cell lines and validated in primary patient samples, supporting CD70 as a candidate therapeutic target in this disease. Several proteins are enriched in the surface proteomes but lack surface annotation, adding to the growing list of potential non-canonical cell surface proteins. These findings reveal a substantial pool of proteins absent from conventional surface annotations, including RNA-binding proteins, an emerging class of candidate immunotherapeutic targets.

molecular biology↗

bioRxiv2026

Environmental DNA substrates capture complementary dimensions of insect biodiversity

Environmental DNA (eDNA) metabarcoding has become a powerful approach for biodiversity assessment, yet whether different environmental substrates provide equivalent or complementary representations of terrestrial biodiversity remains unresolved. Here we addressed this question by comparing insect assemblages recovered from Malaise traps and six environmental substrates (water, sediment, soil, spiderwebs, deadwood, and anthills) across 45 forest locations using a standardized COI metabarcoding workflow. Substrate identity consistently shaped insect detection, diversity, taxonomic representation, and community composition, with each substrate recovering distinct components of insect biodiversity rather than a common biodiversity signal. Malaise traps recovered the greatest overall richness, while water and spiderwebs contributed the largest proportion of additional taxa, demonstrating that no single substrate represented the full spectrum of insect biodiversity. These findings show that environmental substrates capture complementary representations of biodiversity through distinct ecological processes of eDNA deposition, transport, accumulation, and persistence. Different substrates should therefore be interpreted as complementary sources of biodiversity observations instead of interchangeable sampling media, and their integration can support more comprehensive ecological inference. Our study identifies substrate complementarity as a key consideration for interpreting terrestrial eDNA observations and for designing future biodiversity surveys.

ecology↗

bioRxiv2026

Glutamine-regulated VCP acetylation creates a proteostasis vulnerability in RB1-deficient tumor

RB1 deficiency defines an aggressive tumor state with limited therapeutic options. Osteosarcoma represents a clinically relevant model of RB1 deficient malignancy, as RB1 alterations are among the most frequent genomic events in this tumor type. However, the non cell cycle vulnerabilities created by RB1 loss remain incompletely understood. We therefore used osteosarcoma to identify therapeutic dependencies associated with RB1 deficiency. Through high-throughput compound screening, we identified a selective vulnerability of RB1-deficient tumor cells to VCP inhibition. NMS-873 and other VCP-targeting compounds preferentially suppressed RB1 deficient cells across two-dimensional cultures, three-dimensional spheroids, patient-derived organoids, and in vivo tumor models. Mechanistically, VCP inhibition exacerbated proteostasis stress and activated endoplasmic reticulum stress responses in RB1-deficient cells. We further found that VCP function was regulated by glutamine-dependent acetylation, with lysine 615 serving as a dominant acetylation site that modulated sensitivity to VCP inhibition. Glutamine restriction phenocopied, whereas glutamine supplementation partially rescued, the effects of NMS-873 on VCP acetylation and tumor cell growth. Clinical and transcriptomic analyses further linked VCP expression and protein-folding stress programs to aggressive disease features. Together, these findings identify glutamine regulated VCP acetylation as a metabolic proteostasis dependency in RB1-deficient tumors and nominate VCP inhibition as a therapeutic strategy for this difficult-to-target tumor state.

cell biology↗

bioRxiv2026

An RBP-J-heparan sulfate-dependent gatekeeper directs macrophage fate between inflammatory regulation and osteoclastogenesis

Macrophages in bone possess a unique bi-potential capacity. Different from their primary roles in inflammation and immunity, these cells can differentiate into bone-resorbing osteoclasts. However, it remains unclear how macrophages determine which function to engage in bone, especially when exposed to the same stimulus, such as TNF, which can drive both pathways. Understanding these mechanisms is particularly important in inflammatory bone diseases, such as rheumatoid arthritis, where inflammation and bone resorption are hallmarks. Here, we identified an RBP-J-Hs2st1-2-O-sulfated heparan sulfate (HS)-IFN{beta} ; dependent molecular network that acts as a gatekeeper balancing macrophage fate inclinations in response to TNF. This network integrates cellular outside-in, inside-out, and relayed outside-in pathways. RBP-J deficiency in macrophages shifts TNF action from inflammatory regulation to osteoclastogenesis. Hs2st1, the exclusive biosynthetic enzyme for 2-O sulfation of HS, is a key target suppressed by RBP-J. Loss of Hs2st1 significantly reduces inflammatory osteoclastogenesis and arthritic bone erosion without affecting physiological bone mass. Elevated Hs2st1 expression and 2-O sulfation shift macrophages toward an osteoclastogenic fate, and vice versa. We further identified residues in IFN{beta} ; that are responsible for binding HS. Mutation of these sites diminished HS binding, augmented type I IFN response, and more strongly suppressed osteoclastogenesis. Our findings reveal a previously unrecognized molecular program fine-tuning macrophage fate and function, and highlight potential therapeutic strategies for inflammatory diseases with bone defects.

immunology↗

bioRxiv2026

TigerAI: An AI-powered genetic evidence platform to support clinical development

Genetic evidence is a major determinant of clinical success in drug development, yet its aggregation has long relied on laborious human curation. Large language models (LLMs) have the potential to rapidly synthesize knowledge across biomedical resources, providing a route to scalable AI-driven genetic evidence generation. Here we develop a novel domain-grounded instruction framework to systematically evaluate GPT-5 for producing genetic evidence relevant to clinical trial success. Using 13,022 target-indication pairs from a comprehensive drug development database, we benchmark LLM-derived evidence against a recent exhaustive human expert-curated study. We find that GPT-5 yields genetic evidence that is at least as informative as expert curation for inferring clinical success, while substantially expanding coverage relative to traditional curation resources. Building on these results, we introduce TigerAI (https://tigerai.bio/), a dual-purpose platform for AI-powered genetic evidence that (i) benchmarks emerging state-of-the-art LLMs and (ii) provides an accessible service for querying reliable AI-generated genetic evidence. These contributions outline a practical, domain-grounded pathway for integrating AI-powered genetic evidence into drug development pipelines and for realizing the potential of LLMs to inform clinical success.

genetics↗

bioRxiv2026

The microbiome determines the phenotype in CTLA-4 insufficient mice and men

CTLA-4 (haplo)insufficiency displays incomplete penetrance and phenotypic heterogeneity, indicating the involvement of additional disease modifiers beyond the genetic defect. Microbiome analyses reveal a positive association between disease severity and intestinal dysbiosis, highlighting the microbiome as a critical contributor. To investigate this relationship mechanistically, we generated Ctla4/- wildlings harboring a natural microbiota. Unlike specific pathogen free (SPF) counterparts, which remain healthy, Ctla4/- wildlings spontaneously develop disease phenotypes resembling human CTLA-4 haploinsufficiency. Disease onset is followed by reduced microbial diversity and expansion of pathobionts. Integrative immunophenotyping shows that the natural microbiota synergizes with Ctla4 haploinsufficiency to reshape innate and adaptive immune compartments, generating a sustained pro-inflammatory milieu and reduced CTLA-4 expression in the cecum. Furthermore, microbiota-derived metabolites promote inflammatory cytokine production in both murine and human primary T cells via NF-{kappa}B activation. Collectively, Ctla4/- wildlings constitute an effective model for dissecting microbiome-immune crosstalk in CTLA-4 (haplo)insufficiency and for exploring therapeutic strategies.

immunology↗

bioRxiv2026

The HES1-SOD1 Antagonism Shapes Senescence Heterogeneity and Impacts Metastatic Relapse of Circulating Tumor Cells

Circulating tumor cells (CTCs) encounter multiple challenges within the blood microenvironment, including oxidative stress, flow shear forces, and immune surveillance, often leading to anoikis. Recently, a transitional state of CTC senescence has been identified, contributing to metastatic inefficiency. However, the molecular mechanisms linking senescent CTCs to disease relapse remain to be defined. By integrating a genetic model of cortactin knockdown-induced CTC senescence with single-cell multi-omic analyses, we revealed two distinct senescent CTC subpopulations marked by HES1 expression levels. These HES1low and HES1high subpopulations exhibited differential evolutionary trajectory dynamics and unique molecular and metabolic signatures, which were significantly correlated with adverse clinical outcome across several patient cohorts. HES1low senescent CTCs displayed enhanced mitochondrial fitness, oxidative phosphorylation, and ROS-detoxifying capabilities, resulting in more efficient tumor regrowth with a pro-inflammatory and thrombotic phenotype when compared to the HES1high group. Mechanistically, HES1 directly bound to the Sod1 promoter and repressed its expression, leading to redox imbalance and mitochondrial dysfunction that were linked to weakened tumor regrowth capacity. Both senescent CTC subpopulations were broadly resistant to cytotoxic and targeted therapies, yet they showed elevated dependency on anti-apoptosis programs that make them susceptible to dual blockade by SOD1 inhibitor and the anti-senolytic drug ABT737 in vivo. Finally, in a prospective cohort of on-treatment melanoma patients, HES1 senescent CTCs were highly enriched in patients with progressive disease. Thus, the HES1-SOD1 antagonism shapes CTC senescence heterogeneity and contributes to differential tumor relapse, which can be therapeutically explored for eliminating residual metastatic disease.

cancer biology↗

bioRxiv2026

LTBP isoforms differentially encode TGF-β spatial localization and activation

TGF-{beta} signals through a conserved pathway yet produces diverse outcomes, pointing to regulatory mechanisms upstream of receptor engagement. A family of four latent TGF-{beta} binding proteins (LTBPs) tether pro-TGF-{beta}s and control their localization and activation, but how distinct LTBPs contribute to this regulation is unclear. Here we combine cryo-electron microscopy with functional assays to dissect LTBP-pro-TGF-{beta} interactions. We resolve the LTBP-1/pro-TGF-{beta}1 and LTBP-3/pro-TGF-{beta}3 complex structures, revealing a conserved yet plastic hydrophobic binding interface, and systematically map key residues across all four LTBP and three pro-TGF-{beta} subtypes that determine binding specificity and affinity. Unexpectedly, LTBP-2, previously thought incapable of TGF-{beta} binding, engages pro-TGF-{beta}1 through a covalent linkage via its 16th EGF-like domain, providing a mechanistic link between LTBP-2 function and TGF-{beta} signaling. Beyond tethering, LTBP-3 shifts pro-TGF-{beta}3 from spontaneous activation toward integrin dependence, establishing LTPBs as dynamic modulators that dictate not only where but also how TGF-{beta} is unleashed. Collectively, these findings establish that LTBPs are not redundant ECM scaffolds but a family of functionally distinct regulators that differentially encode TGF-{beta} spatial localization and activation, with implications for isoform-selective therapeutic strategies.

biochemistry↗

bioRxiv2026

Microbial evolution, biogeochemical functions, and environmental adaptations in a desert saline lake on the Qinghai-Tibet Plateau

The Eboliang Hu saline lakes in the hyper-arid Qaidam Basin is a high-altitude, weakly acidic hypersaline system with strong environmental gradients and limited nitrogen availability. To resolve its microbial ecology and evolutionary context, we performed genome-resolved metagenomic sequencing across four distinct habitats, reconstructing 46 medium- to high-quality metagenome-assembled genomes (MAGs) and a comprehensive gene catalog. The community shows pronounced spatial heterogeneity and is dominated by Thermodesulfobacteriota, Pseudomonadota, Bacteroidota, and archaeal lineages. Phylogenomic placement and large-scale sequence comparisons indicate that multiple dominant taxa exhibit affinity to marine- and subsurface-associated reference lineages, consistent with long-term isolation of a marine-derived ecosystem about 10-11 million years ago. Functional reconstruction reveals a distributed metabolic system in which carbon, nitrogen, and sulfur cycling are partitioned across taxa. Notably, hydrogen oxidation and arsenite oxidation are recurrent energy-producing strategies across dominant lineages, indicating redox flexibility under oligotrophic conditions. Comparative genomics further suggests lineage-specific adaptations to osmotic stress, UV exposure, and nutrient limitation. Horizontal gene transfer and phylogenetic incongruence among key metabolic genes indicate that co-evolutionary processes and gene exchange have contributed to functional innovation. These findings provide a framework for understanding microbial persistence and evolution in isolated extreme environments and offer potential analogs for extraterrestrial habitability.

ecology↗

bioRxiv2026

AMPKγ2 Deacetylation Drives Nuclear Translocation and Doxorubicin-Induced Cardiomyopathy via Nucleolar Stress Signaling

Doxorubicin (Dox)-induced cardiomyopathy (DIC), characterized by cardiomyocyte apoptosis, remains a major clinical challenge in chemotherapy. The regulatory {gamma}2 subunit of AMP-activated protein kinase (AMPK{gamma}2) plays a key role in cardiovascular diseases, but its function in DIC is poorly understood. Here, we report that Dox induces isoform-specific deacetylation and nuclear accumulation of {gamma}2, triggering nucleolar stress and p53-mediated apoptosis. Mechanistically, HDAC3 and TIP60 interact with {gamma}2 and modulate the acetylation of multiple lysine residues within its nuclear localization signal (NLS), controlling its nucleocytoplasmic shuttling. Dox enhances HDAC3-mediated {gamma}2 deacetylation, thereby driving nuclear accumulation of the {gamma}2-containing AMPK ({gamma}2-AMPK) while suppressing the cytosolic AMPK activity. Nuclear {gamma}2-AMPK phosphorylates and inactivates TIF-IA, a key RNA polymerase I-specific transcription initiation factor, leading to nucleolar stress through inhibition of rRNA transcription. rRNA deficit triggers release of free ribosomal proteins (RPs), which bind to and inhibit the E3 ubiquitin ligase MDM2, resulting in p53 stabilization and activation of apoptotic signaling. Using genetically engineered cardiomyocytes and a DIC mouse model, we found that a deacetyl-mimetic {gamma}2 mutant (6KR) exacerbated DIC, whereas an acetyl-mimetic mutant (6KQ) was cardioprotective. Collectively, our findings establish acetylation-driven nuclear translocation of {gamma}2 as a critical node linking Dox-induced nucleolar stress to p53-dependent apoptosis and suggest a promising cardio-oncology strategy that combines HDAC inhibitors with Dox to mitigate DIC. Significance statementDoxorubicin is an effective cancer drug, but its use is limited by cardiomyopathy. Our study reveals that doxorubicin drives HDAC3-mediated deacetylation of AMPK{gamma}2, exposing its nuclear localization signal and redirecting {gamma}2-containing AMPK from the cytoplasm to the nucleus. Nuclear AMPK{gamma}2 phosphorylates TIF-IA, suppresses ribosomal RNA synthesis, and activates a nucleolar stress pathway that stabilizes p53 and promotes cardiomyocyte apoptosis. In mice, a deacetylation-mimetic AMPK{gamma}2 mutant worsens doxorubicin-induced cardiomyopathy, whereas an acetylation-mimetic mutant is protective. These findings uncover an acetylation-controlled spatial switch in AMPK signaling and identify the AMPK{gamma}2 deacetylation-nucleolar stress axis as a potential target for reducing chemotherapy-associated cardiac injury.

cell biology↗

bioRxiv2026

Learning Shapes the Energy Cost of Neural Tasks

The stark difference in energy use between AI systems and biological brains highlights both the remarkable efficiency of the brain and our limited understanding of the energetics underlying neural computation. Although efficiency is widely cited as a principle of neural design, direct measurement of the energy cost of specific neural tasks within their corresponding circuits has remained limited. Here, by simultaneously measuring intracellular glucose and calcium dynamics in the same behaving mice in vivo, we use neuronal glucose consumption to define circuit-level energy costs associated with learning-based behavioral tasks. We found that the post-learning fuel cost per task was significantly lower than pre-learning levels across multiple hippocampus- and cortex-dependent learning models, with or without changes in bulk calcium dynamics. This change in fuel cost was not mediated by extracellular glucose transport but instead reflected a reduction in intracellular glucose consumption and depended on canonical plasticity mechanisms, including NMDAR signaling and protein synthesis. Together, these findings suggest that attenuation of task-specific energy cost may represent a general bioenergetic trajectory of learning and plasticity. This "energy minimization" hypothesis provides insight into how the biological brain achieves efficiency and offers an orthogonal, complementary perspective to neural activity-centered frameworks.

neuroscience↗