Biology subjects

Yang, Y.

Publications and source records attributed to Yang, Y..

At least 91 records · Page 5Linked to original sources

bioRxiv2026

The Proposed Bone Post-Arterial Type R Capillaries Resolve into Venous and Fatty Acid-Handling Endothelial Cells

Endothelial specialization is increasingly recognized as a fundamental regulator of tissue homeostasis, yet the cellular diversity of the skeletal vasculature remains incompletely resolved. Here, we integrate large-scale single-cell transcriptomics, cross-tissue comparisons, and imaging to comprehensively define endothelial heterogeneity across the skeleton. Our analyses demonstrate that the proposed post- arterial "type R" endothelial population is not a distinct endothelial subtype but instead comprises canonical venous endothelial cells and fatty acid-handling endothelial state. RNA velocity supports a venous continuum, while the proposed type R markers FMO2, and AQP7 lack both endothelial and skeletal specificity. The fatty acid-handling endothelial state, characterized by Lpl and Cd36 is conserved across multiple skeletal sites and non-skeletal tissues, indicating a general endothelial metabolic programme. Within bone, this endothelial state expands following high-fat diet and is suppressed during injury. Together, these findings redefine skeletal endothelial heterogeneity and establish the proposed type R population as part of a venous continuum.

cell biology↗

bioRxiv2026

Nectar chemistry reflects pollination strategies in alpine plant communities

Nectar is a primary floral reward, which can also deter non-specialist pollinators; yet, the role of complex nectar composition in plant-pollinator interactions and its relationship to other floral traits remain understudied, particularly in natural communities. We profiled the nectar metabolome of 43 co-occurring species in an alpine grassland to evaluate relationships among nectar chemistry, phylogeny, floral display traits and pollinator visitation. Field observations revealed a dominant bee vs fly visitation gradient. Several aggregated nectar traits tracked this gradient independently of plant phylogeny, indicating functional convergence: specifically, bee visitation was associated with higher nectar sucrose proportion, greater compound richness, and more divergent profiles of uncommon sugars. Nectar traits exhibited variable relationships to floral display traits, suggesting partial inter-trait phenotypic integration. Together, these findings indicate that detailed features of nectar composition, including phytochemical diversity, play a functional role in floral phenotypes, with previously unappreciated implications for plant-pollinator community ecology.

ecology↗

bioRxiv2026

ZDHHC14-Mediated Palmitoylation of TBK1 Promotes Pathological Cardiac Hypertrophy via Type I Interferon Signaling Activation

Pathological cardiac hypertrophy represents a common maladaptive response to cardiovascular stress and constitutes a major harbinger of heart failure. Although S-palmitoylation--a reversible post-translational modification--critically governs protein localization, trafficking, and stability, its involvement in cardiac hypertrophy remains poorly characterized. In this study, we aimed to explore the role and regulatory mechanism of a palmitoyltransferase, zinc finger DHHC-type palmitoyltransferase 14 (ZDHHC14), in cardiac hypertrophy. We found that ZDHHC14 was significantly upregulated in cardiac hypertrophy tissues from both human patients and mouse models. Cardiomyocyte-specific ZDHHC14 knockdown ameliorated transverse aortic constriction (TAC)-induced cardiac hypertrophy and dysfunction in male mice, whereas cardiac-specific ZDHHC14 overexpression via AAV9 exacerbated these pathological phenotypes. Mechanistically, TANK-binding kinase 1 (TBK1) was identified as a novel substrate of ZDHHC14 through interactomic screening. ZDHHC14 catalyzed TBK1 palmitoylation at cysteine 267, which in turn facilitated TBK1 phosphorylation and subsequent activation of type I interferon (IFN-I) signaling, ultimately promoting cardiac hypertrophy. Importantly, our findings demonstrate that the TBK1-C267S mutation rectifies ZDHHC14 overexpression-induced exacerbation of cardiac hypertrophy. This study illustrated a ZDHHC14-TBK1-IFN-I axis in regulating cardiac hypertrophy, which may provide a potential therapeutic target to ameliorate pathological cardiac hypertrophy.

molecular biology↗

bioRxiv2026

Targeting NAT10 suppresses TFH responses and alleviates allergic asthma via an ac4C-TOX2 axis

Chemical modifications of RNA, such as N4-acetylcytidine (acC), fine-tune gene expression, but their roles in cell fate determination within the immune system remain poorly understood. Here, we identify the RNA cytidine acetyltransferase NAT10 as a pivotal regulator of T follicular helper (TFH) cell differentiation and the germinal centre response. T cell-specific ablation of Nat10 in mice severely impaired TFH cell development, germinal centre formation, and antibody production following viral infection. Integrated epitranscriptomic and transcriptional profiling revealed that NAT10 deposits acC modifications on a cohort of mRNAs critical for immune function. We pinpointed the transcription factor TOX2 as a key downstream target, showing that acC modification within its mRNA coding sequence enhances both transcript stability and translation efficiency, thereby promoting TOX2 protein expression. Enforced TOX2 expression fully rescued the TFH differentiation defect in NAT10-deficient cells. This NAT10-acC-TOX2 axis is conserved in humans, where its activity correlates with the magnitude of vaccine-elicited TFH responses. Furthermore, we identified R428 as a potent NAT10 inhibitor and demonstrated that its administration could suppress pathogenic TFH responses and alleviate symptoms in a mouse model of allergic asthma. Our work elucidates a central epitranscriptomic mechanism controlling T helper cell fate and humoral immunity, and nominates NAT10 as a potential therapeutic target for TFH-driven diseases.

immunology↗

bioRxiv2026

Multidimensional variation and population stratification across 8000 complete human centromeres

Human centromeres are indispensable for the faithful segregation of chromosomes during cell division, yet their highly repetitive nature has historically precluded comprehensive characterization, leaving fundamental questions about their sequence diversity, evolution trajectories and function dynamics unresolved. Here, we generated 6,312 complete human centromere sequences from 320 phased genome assemblies in Asian Pan-Genome project phase 1. By integrating the assemblies from the Human Pangenome Reference Consortium (HPRC) and Human Genome Structural Variation Consortium (HGSVC), we constructed a multidimensional genetic variation map encompassing over 8,000 gapless centromeres. Centromeric satellite arrays account for 4.19% to 6.01% of the whole genome, with substantial variations in size and architecture across chromosomes. Using a refined alpha satellite clustering approach that captures global diversity, we identified 195 higher-order repeat (HOR) arrays, 56.4% of which are absent from the T2T-CHM13 reference genome. Extensive structural variations across multiple dimensions exhibit population stratification, including centromeric haplotypes (CenHaps), ultra-large pericentric inversions spanning up to 36.6 Mbp, and inter-chromosomal HOR sharing that reflects sequence exchange among chromosomes. Integrating CENP-A CUT&Tag experiments and long-read-based DNA methylation profiles, we demonstrate that 16.8% of centromeres harbor multiple potential kinetochore assembly sites, and CenHap-specific local HOR homogenization is associated with kinetochore positioning. Despite global suppression of recombination at centromeres, we observed asymmetric linkage disequilibrium flanking centromeres and an ancient recombination event within the centromere of chromosome 19. Furthermore, contrary to the prevailing assumption of high mutation rates in centromeres, our estimates based on stringent orthology reveal no significantly higher single-base substitution rates for centromeres relative to flanking pericentromeric regions with substantial variations across chromosomes, despite extraordinary structural plasticity. Collectively, these multi-scale centromeric variations provide a global view of human centromere diversity and population stratification, fundamentally redefine centromere evolution through a dual-track model balancing structural innovation with mutational constraint, and establish an essential resource for investigating centromere biology and a baseline reference for diagnosing centromere-associated disorders.

genomics↗

bioRxiv2026

Deciphering complete archaic introgression sequences in modern human genomes

Genetic introgression from archaic hominins has profoundly reshaped the genetic diversity and adaptive potential of modern humans, yet the full catalog of introgressed sequences, particularly those residing in structurally complex regions has remained elusive. Here, we present ASMaid (ASseMbly-based archaic introgression detector), a Hidden Markov Model-based framework that leverages haplotype-resolved pangenome assemblies to identify archaic-derived sequences with unprecedented completeness. By integrating both single-nucleotide genotype and structural variation (SV) signals, ASMaid captures significantly more intact archaic segments than conventional reference-based approaches. Applying ASMaid to a global panel of 610 phased human genome assemblies, we show that non-African individuals carry approximately 79.8 Mbp of Neanderthal and 8.3 Mbp of Denisovan sequences, representing substantial increases over previous estimates, respectively. Notably, we detected several centromere-spanning archaic segments, including EAS-specific calls on chromosomes 5 and 7. Our assembly-based approach uncovered 1,701 archaic-derived SVs, revealing a previously overlooked layer of archaic functional legacy. High-frequency introgressed loci are enriched in pathways associated with metabolism, immunity, and nervous system (e.g. CTNNA2 linked to early-onset schizophrenia risk), underscoring the fundamental role of introgression in modulating modern human traits. Notably, we identified dozens of loci potentially facilitating local adaptation, such as PRDM16 involved in adipocyte differentiation and cold tolerance, and CSGALNACT2 associated with chondroitin sulfate synthesis. Furthermore, our analysis delineates three distinct Denisovan introgression pulses in Eastern Eurasian genomes, in which the first two pulses are shared across East Eurasian and Oceanian populations, while the third remain primarily exclusive in East Asians. Reflecting these complex introgression events, 31 Denisovan-derived segments, including the TBX15-WARS2 locus, are inferred to have been introduced via at least two events. This comprehensive map of archaic introgression provides a fundamental resource for understanding how ancient gene flow continuously shapes human phenotypic diversity and adaptation.

evolutionary biology↗

bioRxiv2026

The Thermodynamics of Biomolecular CO2 Capture:Disentangling Equilibria in Amino-Acid-based Systems

Amino acids and peptides are promising building blocks for aqueous biomolecular CO2 capture systems, yet the coupled thermodynamics governing carbamate formation, proton transfer, carbonate speciation, and hydration remain difficult to resolve experimentally. Here, we establish isothermal titration calorimetry (ITC) as a quantitative platform for characterizing these coupled processes by integrating calorimetry with pH titrations, NMR spectroscopy, and a mechanistic thermodynamic model. Using L-lysine, L-arginine, and a series of Lys- and Arg-containing peptides, global fitting of ITC thermograms yielded thermodynamic parameters describing protonation and carbamate formation that accurately reproduced independent pH titrations and NMR-derived speciation. The analysis revealed that the characteristic biphasic calorimetric response originates from the coupled carbonate-amine equilibrium network and buffer collapse rather than carbamate saturation. Lys formed -, {varepsilon}-, and ,{varepsilon}-dicarbamates and exhibited more favorable apparent carbamate thermodynamics than Arg with the {varepsilon}-carbamate lying among the most favorable carbamate-forming amine sites reported for aqueous amines. Model-guided exploration of the fitted thermodynamic landscape further demonstrated that maximizing total CO2 retention, amine-mediated capture, and carbamate formation are distinct optimization problems governed by different combinations of pH, temperature, and CO2 loading. Extension to systematically spaced Lys-containing peptides showed that inter-amine separation alone does not control carbamate stability, highlighting the dominant role of the local thermodynamic environment in biomolecular CO2 capture. This work establishes ITC as a powerful experimental approach for extracting CO2-amine thermodynamics and provides a predictive framework for the rational design and optimization of amino acid-, peptide-, and protein-based carbon capture systems.

biochemistry↗

bioRxiv2026

Macrophage-instructed GSDME couples glioblastoma cell-state plasticity with inflammatory cell death

Glioblastoma (GBM) cell states reflect spatial microenvironmental interactions. Here, using COMET spatial proteomics and RNAscope across multiregional human GBM tissue, spanning tumor cores with pseudopalisading regions, infiltrative margins and peripheral regions, together with multiplex spatial profiling of 202 specimens from 33 patients with matched primary and recurrent tumors, we identify full-length gasdermin E (GSDME-FL) as a macrophage-instructed regulator of malignant cell plasticity. Integration with single-cell transcriptomics and functional perturbation shows that GSDME-high tumor cells localize to macrophage-rich perivascular niches and are associated with delayed recurrence and longer patient survival. Mechanistically, macrophage-derived S100A4 activates EGFR-Sp1 signaling to induce GSDME-FL in neighboring GBM cells. GSDME-FL restrains hypoxia-associated mesenchymal plasticity and shapes macrophage-induced tumor state transitions independently of caspase activation. During immunogenic cell death (ICD), cleaved GSDME promotes pre-lytic swelling, early ATP efflux, and the release of canonical ICD-associated cytokines and chemokines. NLRP3 signaling further supports ATP release and licenses macrophage phagocytosis of dying GBM cells, whereas NINJ1-dependent membrane rupture enables terminal HMGB1 release. Vaccination with ICD-treated glioma cells elicits tumor rejection in a prophylactic intracranial challenge model. Notably, co-expression of GSDME and NINJ1 in macrophage-rich perivascular niches provides a spatial correlate of pathway convergence in patient tumors. Thus, our findings define how a spatial macrophage niche induces GSDME-FL, thereby coupling malignant cell state plasticity to the inflammatory properties of GBM cell death.

cancer biology↗

bioRxiv2026

From Hodgkin-Huxley to Pretrained Neural Inference AI

High-density probes record from thousands of neurons simultaneously, yet resolving single-neuron identity remains an illposed inverse problem. While detailed simulations precisely characterize the biophysical forward process, their utility for interpreting brain signal remains unclear. Here we show that biophysical simulations of population neuronal electrical signals serve as an effective bridge between theory and experiment. By pre-training artificial neural networks exclusively on large-scale synthetic data, we demonstrate robust zero-shot generalization across diverse brain regions, experimental paradigms and species, enabling the accurate inference of single-unit activities and cell-type properties without exposure to real data. Further-more, uncovering a substantial population of functionally competent but weakly active neurons systematically obscured by conventional heuristics, our framework resolves a long-standing discrepancy regarding ocular dominance in mouse primary visual cortex. These findings establish biophysical simulations as a reference standard, bridging the gap between theoretical understanding and experimental observation through data-driven inference.

neuroscience↗

bioRxiv2026

PFM: perturbed flow matching for structure-based drug design

Generating 3D molecules that bind to specific protein targets via generative models has shown great promise in structure-based drug design. Recently, diffusion-based methods have achieved promising results, but their reliance on high sampling steps poses risks of slowing the drug discovery process due to increased time and computational costs. In this work, we propose a novel method named Perturbed Flow Matching (PFM), which significantly reduces sampling steps by leveraging a Flow Matching framework. PFM introduces a unique perturbed conditional probability path design that incorporates pocket binding site information and atom type-coordinate coupled information to enhance molecular generation performance. Experiments on CrossDocked2020 dataset demonstrate that PFM generates molecules with competitive 3D structures and state-of-the-art (SOTA) binding affinities towards the protein targets, achieving an Avg. of -7.12. Additionally, PFM accelerates the generation of valid molecules by a factor of 21.3, while demonstrating potential for further improvement. The code is available at https://github.com/kurisu92725/PFM.

bioinformatics↗

bioRxiv2026

Targeting cellular senescence alleviates bone marrow aging

Aging of the hematopoietic system impairs hematopoietic stem cell (HSC) function and alters bone marrow niche behavior, increasing susceptibility to anemia, infections, and hematologic malignancies. Here, pharmacologic clearance of senescent cells with the PROTAC compound 753b simultaneously targeting BCL-xL and BCL-2 reverses key secretory, transcriptional, and functional hallmarks of hematopoietic aging with low toxicity, restoring balanced lineage output. Single-cell RNA sequencing further demonstrates that 753b treatment attenuates aging-associated transcriptional signatures in HSCs, while selectively eliminating senescent, pro-survival niche cells without grossly perturbing niche composition. Functionally, 753b suppresses pro-inflammatory cues from both niche and hematopoietic cells including those emanating from neutrophil progenitors, rebalancing global bone marrow secretory ecosystem across stromal and hematopoietic compartments. Collectively, we identify 753b-induced senescent cell clearance as a powerful strategy to rejuvenate aged hematopoiesis and re-establish homeostatic communication between HSCs and their microenvironment, with implications for mitigating age-related hematologic dysfunction and improving hematologic health in older individuals.

cell biology↗

bioRxiv2026

Oral Gut Microbial Axis in Inflammatory Bowel Disease and Primary Sclerosing Cholangitis

The oral cavity is increasingly recognized as a reservoir of microbes that can translocate to and influence the gut microbiome. This oral-gut microbial axis may contribute to the pathogenesis of chronic gastrointestinal and hepatobiliary disorders, including inflammatory bowel disease (IBD) and its comorbidity, primary sclerosing cholangitis (PSC). To investigate the oral-gut microbial axis in IBD and PSC, we enrolled 191 participants spanning Crohns disease (CD), ulcerative colitis (UC), CD with PSC (CD-PSC), UC with PSC (UC-PSC), and healthy controls. We generated and analyzed the whole-metagenome shotgun sequencing data from saliva, tongue swabs, and fecal samples. Across oral and gut niches, we identified multiple microbial species differentially enriched in participants with UC compared with healthy controls, including Fusobacterium nucleatum and Gemella sanguinis in saliva, Catonella massiliensis and Tannerella serpentiformis on the tongue, and G. sanguinis and Sellimonas intestinalis in feces. Paired oral-gut analyses revealed 15 potential oral-origin species enriched in fecal samples; notably, G. sanguinis and Veillonella rogosae were consistently enriched in participants with UC. These findings were further supported by an external validation dataset comprising 1,716 gut metagenomes from five independent IBD cohorts, highlighting the reproducibility of oral microbial signatures. In exploratory analyses, smoking history was associated with shifts in the oral microbiome toward a UC-like state in healthy controls, suggesting a possible environmental modifier of the oral-gut microbial axis. Collectively, our study identifies distinct oral microbial signatures and their potential translocation to the gut in IBD and PSC, underscoring the role of the oral- gut microbial axis in disease progression.

microbiology↗

bioRxiv2026

A superfolding sfPepper enables superresolution and single-molecule RNA imaging in live cells

Fluorescent RNAs (FRs) have emerged as powerful tools for the visualization of RNA in live cells. However, the poor folding of FRs is a major limiting factor in many advanced RNA imaging applications. Here, we describe a novel strategy to significantly increase the folding efficiency of FRs. By introducing a stabilizing stem and performing targeted mutagenesis at key junction regions, we develop a superfolder variant of the Pepper aptamer, termed sfPepper, that exhibits a striking twofold increase in folding efficiency compared with Pepper under physiological conditions. sfPepper exhibits much improved thermostability and reduced ion dependence and, most importantly, is substantially brighter than Pepper in live cells. sfPepper enables robust imaging of diverse noncoding RNAs and messenger RNAs with increased signal-to-background ratios and stimulated emission depletion (STED) superresolution imaging of CUG trinucleotide repeat-containing toxic RNAs. Remarkably, only four sfPepper repeats facilitate sensitive single-molecule mRNA tracking, revealing dynamic heterogeneity among ER-associated mRNA molecules. Together, this study establishes an efficient strategy for improving FR folding and offers a powerful tool for fluorescently labelling RNAs in live cells.

molecular biology↗

bioRxiv2026

A multi-agent workflow converts CAR-T patient evidence into experimentally testable hypotheses

Clinical studies of chimeric antigen receptor (CAR)-T therapy generate diverse molecular and clinical evidence that remains fragmented across publications, public repositories and patient-derived datasets, limiting systematic therapeutic discovery. Here we present BioPathfinder, an evidence-guided multi-agent workflow for closed-loop biomedical discovery. BioPathfinder constructs a provenance-aware knowledge resource linking publications with patient single-cell RNA sequencing (scRNA-seq) datasets and clinical metadata, and uses role-specialized large language model agents to generate, review and prioritize diverse, falsifiable and dataset-aware mechanistic hypotheses for computational and experimental validation. Applied to a curated corpus of CAR-T-treated patient studies and matched scRNA-seq datasets, BioPathfinder identified candidate mechanisms underlying CAR-T persistence, dysfunction and therapeutic resistance. The workflow prioritized the hypothesis that genes associated with an NK-like transition programme could be targeted to reduce CAR-T exhaustion and improve persistence. Analysis of patient scRNA-seq datasets showed enrichment of this programme in exhausted post-infusion CAR-T cells. Virtual perturbation prioritized transition-associated receptor genes, including KLRC1, KLRD1 and KLRG1, and expert review selected KLRC1, encoding NKG2A, for experimental validation. In vitro and in vivo chronic-stimulation models showed that NKG2A marked activated, exhaustion-associated CD8 CAR-T cells, whereas NKG2A blockade enhanced antitumour activity and persistence-associated functional readouts in vivo. BioPathfinder establishes a generalizable framework that transforms fragmented clinical single-cell evidence into experimentally validated therapeutic hypotheses, providing a scalable strategy for AI-guided biomedical discovery. HIGHLIGHTSO_LIBioPathfinder integrates fragmented CAR-T clinical studies, patient scRNA-seq datasets and metadata into a provenance-aware evidence resource for AI-guided hypothesis discovery. C_LIO_LIA multi-agent workflow generates, critiques and prioritizes diverse, falsifiable, dataset-aware mechanisms underlying CAR-T persistence, dysfunction and therapeutic resistance. C_LIO_LIBioPathfinder prioritizes KLRC1/NKG2A as a therapeutic target, and experimental validation demonstrates that NKG2A blockade enhances CAR-T persistence and antitumour function. C_LI

bioengineering↗

bioRxiv2026

Spatial Topology Reveals Biologically Distinct Recurrent Motifs in Colorectal Cancer

Most spatial transcriptomic analyses of solid tumors focus on individual cell states or single-sample spatial domains rather than on recurrent multicellular tissue architectures shared across patients, and typically depend on predefined cell-type annotations or compartment definitions. We developed STORM (Spatial Topology analysis of Recurrent Motifs), an unsupervised graph-attention variational autoencoder that learns recurrent spatial motifs directly from cell-level graph structure and molecular profiles without cell-type labels, manual annotation, or predefined compartments. We applied to 32 Xenium sections from 16 patients with paired early-onset (EOCRC) and average-onset (AOCRC) colorectal cancer, STORM identified 10 recurrent motifs that self-organized into tumor-parenchymal, stromal, and immune macro-compartments. Among these, the Desmoplastic Fibrotic Barrier (DFB) motif, a CAF- and ECM-rich boundary architecture, was associated with restricted CD8+ T-cell geodesic access to tumor cores independently of CD8+ abundance, as demonstrated by abundance-normalized neighborhood enrichment statistics and within-sample mixed-effects models. EOCRC selectively amplified this barrier-exclusion architecture, exhibiting tighter tumor parenchyma, denser DFB shells, and a DFB-specific ECM activation program that yielded an age-specific prognostic signature in TCGA-COAD. Translation of motif macro-classes to H&E images via a Vision Transformer classifier produced an image-derived DFB-barrier composite that predicted overall survival in advanced-stage TCGA colorectal cancer. STORM provides an annotation-free framework for discovering recurrent spatial motifs and identifies a fibroblast barrier architecture whose topological association with immune exclusion is independent of effector abundance, amplified in early-onset disease, and translatable to a deployable pathology-based prognostic biomarker.

bioinformatics↗

bioRxiv2026

Disrupting a Convergent Acetylation Circuit Collapses Leukemic Identity Across AML Subtypes

Transcriptional condensates anchored by chromatin readers are increasingly recognized as organizing hubs for gene expression, but how their assembly and stability are regulated remains poorly understood. Here, we identify an acetylation-dependent feed-forward circuit that controls the integrity of the Super Elongation Complex (SEC), a key driver of transcriptional elongation. We show that the SAGA histone acetyltransferase catalytic subunits KAT2A/KAT2B license acetylation of both histone H3 lysine 9 (H3K9ac) and SEC components themselves, including ENL, AFF1, and AFF3. Loss of this dual acetylation activity, achieved via a cereblon-recruiting PROTAC (GSK983/GSK699), displaces the chromatin reader ENL from target loci, dissolves ENL-anchored transcriptional condensates, and disrupts SEC-dependent transcriptional output - linking histone and non-histone acetylation to the physical integrity of a core transcriptional machine. Using genome-scale dependency data, we show that the SAGA complex is a selective chromatin dependency in acute myeloid leukemia (AML) AML and hematological malignancies and disrupting this feed-forward transcriptional circuit in AML demonstrates subtype independent antileukemia effects. KAT2A/B degradation drives potent, broad-spectrum antileukemic activity across genetically diverse AML cell lines, primary patient samples, and an isogenic KMT2A-rearranged model bearing cooperating oncogenic mutations, with H3K9ac loss concentrated asymmetrically at core AML oncogene loci such as MYC, MYB, and the HOXA cluster. Together, these findings define an acetylation-dependent circuit governing SEC integrity and establish KAT2A/B degradation as a mechanism-based, pan-AML therapeutic strategy, with implications for transcriptional condensate regulation beyond leukemia. HIGHLIGHTSO_LIThe SAGA complex is a selectively essential chromatin dependency across hematological malignancies and particularly in AML C_LIO_LIKAT2A/B degradation drives broad anti-leukemic activity across genetically diverse AML subtypes including chemo-refractory disease C_LIO_LIKAT2A/B degradation depletes H3K9ac at AML oncogene loci and dismantles ENL-anchored condensates C_LIO_LIKAT2A/B licenses regulation of super elongation complex acetylation and ENL interaction with SEC complex components C_LI

cancer biology↗

bioRxiv2026

Targeted ATAC-see (tATAC-see): A Visual Assay for Target-Specific Chromatin Profiling

We present targeted ATAC-see (tATAC-see), a visual genomics assay for site-specific chromatin profiling. By integrating the in situ visualization of ATAC-see with antibody-tethered tagmentation, tATAC-see captures chromatin states at defined protein-occupied domains with the simplicity of standard immunofluorescence. Modulating the spatial interaction radius of Tn5 via salt titration enables extended tagmentation of local chromatin environments near the target. We validated this imaging-based method by capturing the expanded chromatin neighborhoods of active euchromatin (H3K27ac, H3K4me3) alongside the dense structural lamina-associated domains (LADs) of lamin A/C and lamin B1. Using an HDAC inhibitor, we tested the assays sensitivity to detect dynamic structural remodeling. We not only tracked chromatin decompaction but also demonstrated the robust structural resistance of LADs. As a proof-of-principle biological application, we applied tATAC-see to models of replicative, chronological, and pathological (Hutchinson-Gilford progeria syndrome) aging to assess its ability to detect well-characterized peripheral heterochromatin and LAD remodeling. We observed divergent chromatin trajectories at the nuclear envelope, reflective of the lamins distinct roles. lamin B1 domains exhibit increased local accessibility consistent with age-associated heterochromatin erosion, while lamin A/C-associated domains physically detach from their scaffold. Ultimately, tATAC-see provides a robust, accessible platform for mechanistic and population-level studies to uncover spatial epigenome dynamics. Summary StatementtATAC-see is a tunable visual genomics assay that can capture target-specific chromatin remodeling across diverse biological contexts.

cell biology↗

bioRxiv2026

Interpreting Rewards from Inverse Reinforcement Learning

Inverse reinforcement learning can recover reward functions from observed behavior, but interpreting those rewards remains a fundamental challenge for understanding intelligent behavior and decision-making. To address this challenge, we introduce a novel framework for reward interpretation that combines reward-function analysis, latent mode assignments, and short-history behavioral analysis to infer latent motivations and behavioral dynamics. As a proof-of-concept, we instantiated the framework using switching inverse reinforcement learning on a large-scale dataset of multi-agent social interactions. Our framework interpreted the learned latent modes as cautious and volatile motivational profiles, demonstrating that recovered reward functions can reveal distinct patterns of behavioral dynamics. More broadly, these findings suggest that the proposed framework provides a promising approach for reverse-engineering and interpreting latent rewards underlying intelligent behavior and decision-making.

neuroscience↗