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Zhang, H.

Publications and source records attributed to Zhang, H..

At least 235 records · Page 13Linked to original sources

Design, synthesis and profiling of highly potent antivirals targeting emerging drug-resistant HIV-1 variants

AbstractLenacapavir (LEN), the first-in-class HIV capsid inhibitor (CAI), is approved by FDA as a long acting injectable (LAI) for both treatment and pre-exposure prophylaxis (PrEP). Despite its exceptional potency and long pharmacokinetics (PK), a few major resistant mutations have been selected in LEN-treated patients, underscoring the need to develop second-generation LEN analogs to mitigate resistance. Particularly, the M66I mutation confers an extraordinarily high-level LEN resistance, essentially abrogating LEN potency. In this work, we have designed and synthesized LEN analogs featuring a cycloalkyl R2 in subunit B drastically different from known analogs. Against wild-type HIV-1, the potency of our analog 3 (EC50 = 0.073 nM) was 2.6-fold higher than LEN (EC50 = 0.19 nM). More importantly, against the M66I mutant, 3 (EC50 = 5.8 nM) was decisively more potent than LEN (EC50 > 15 M) or any known analogs. We have also shown that the size of the R2 cycloalkyl ring is a major pharmacophore factor as a smaller (cyclopropyl, analog 1) or bigger (cyclohexyl, analog 4) ring confers weaker antiviral potency against both WT HIV-1 and M66I. The vastly improved profile of our lead 3 against M66I was confirmed in the target binding thermal shift assay. These results strongly validate our design and may represent a breakthrough in LEN-based HIV therapy and prophylaxis.

microbiology↗

Type 2 diabetes Reprograms Bone Marrow Hematopoiesis and Dysregulates Immune Signaling in Response to Stroke

Type 2 diabetes mellitus (T2DM) worsens stroke outcomes, but the underlying mechanisms linking T2DM to systemic immune dysfunction remain unclear. We investigated whether T2DM alters bone marrow (BM) hematopoiesis and dysregulate immune signaling following ischemic stroke in mice. Single-cell RNA sequencing, GeoMx digital spatial profiling (DSP), nCounter, and flow cytometry were used to analyze BM cells from control (db/+, Ctrl) and diabetic (db/db, T2DM) mice underwent experimental stroke or sham surgery. Diabetes caused marked structural remodeling of BM, with reduced cellularity and imbalance of hematopoietic lineages. Pseudotime trajectory analysis revealed impaired differentiation and maturation signatures of hematopoietic progenitor cells (HPC1) and granulocytes, and overactivation toward monocytes in diabetes after stroke. CellChat analysis demonstrated reorganization of intercellular communication, with hematopoietic progenitor cells (HPC1) and monocytes emerging as dominant signaling hubs through upregulated MIF, SIRP, and THBS pathways. AUCell enrichment indicated increased glycolysis and oxidative phosphorylation but reduced interferon-{gamma} (IFN-{gamma}) signaling, reflecting metabolic activation coupled with immune dysregulation. DSP and nCounter further confirmed upregulation of genes in the MIF, SIRP and THBS pathways in CD115 monocytes and Ly6G neutrophils, indicating proinflammatory and migratory activation in diabetic bone marrow. Our data suggest that T2DM reprograms hematopoiesis and signaling networks, leading to maladaptive myeloid responses and impaired immune regulation after stroke. This maladaptive BM environment amplifies inflammation and limits repair, linking diabetic metabolic stress to worsened ischemic outcomes. Targeting bone marrow immune dysfunction may offer a therapeutic strategy to improve stroke recovery in diabetic patients.

neuroscience↗

PocketX: Preference Alignment for Protein Pockets Design through Group Relative Policy Optimization

Designing protein pockets that target specific ligands is crucial for drug discovery and enzyme engineering. Although deep generative models show promise in proposing high-quality pockets, they are usually trained purely to match the data distribution and therefore overlook key biophysical properties, such as binding affinity, expression, and solubility, that ultimately determine developability and success. We introduce PocketX, an online reinforcement learning framework that explicitly aligns a generative model with desired biophysical properties. The framework first trains a base model that co-designs pocket structures and sequences conditioned on a target ligand, and then fine-tunes this model with Group Relative Policy Optimization (GRPO) to reward the desired attributes. Because GRPO employs group-relative rewards, it produces lower-variance policy updates, resulting in more stable and efficient learning than competing alignment strategies. Evaluated on the CrossDocked2020 benchmark, PocketX surpasses existing methods in metrics such as binding energy and evolutionary plausibility. Ablation studies further show that GRPO outperforms alternative alignment strategies, including Direct Preference Optimization (DPO), confirming GRPOs effectiveness for biophysical property alignment.

bioinformatics↗

SF3A2 deacetylation at lysin 10 mitigates myocardial pathological remodeling by reprogramming cardiomyocyte metabolism

BackgroundDysregulation of splicing factor-mediated pre-mRNA alternative splicing (AS) underlies the progression of complex diseases, but the specific involvement of AS in myocardial pathological remodeling remains unclear. This study aimed to elucidate the role of splicing factor 3A, subunit 2 (SF3A2) in the development of myocardial pathological remodeling by regulating AS and its effect on metabolic reprogramming. MethodsWe evaluated the function and mechanism of SF3A2 in myocardial pathological remodeling using murine models induced by myocardial infarction (MI) and isoproterenol. The gain- and loss-of-function models (AAV9-cTNT delivery-mediated knock-in and lentivirus-mediated knockdown) combined with acetylomics, metabolomics, lipidomics, 13C-glucose tracing and immunoprecipitation coupled with liquid chromatography-tandem mass spectrometry (IP-MS) analyses were used to demonstrate the mechanism of SIRT7-mediated SF3A2 deacetylation at lysin 10 (K10). Unbiased RNA sequencing and AS analysis were conducted to identify the downstream effector of SF3A2. ResultsSF3A2 acetylation at lysine 10 was upregulated in cardiomyocytes in response to myocardial pathological remodeling. Functionally, the knock-in of a deacetylation-mimetic SF3A2 (K10R) mutant attenuated myocardial hypertrophy, fibrosis, and improved heart function. These phenotypes were accompanied by a redirection of glucose flux from anaerobic glycolysis to the TCA cycle, along with a promotion of fatty acid {beta}-oxidation by inhibiting CD36 translocation and decreasing ACLY activity. Mechanistically, SF3A2 mitigated metabolic reprogramming and mitochondrial dysfunction by regulating Nnt AS, a process involving the SF3A2-interacting protein Ddx1. IP-MS further identified SIRT7 as the deacetylase for SF3A2, which was found to be activated by ginsenoside Rg1 in a high-throughput screen, leading to improved heart function. ConclusionsOverall, our findings establish the SIRT7-SF3A2-Nnt axis as a critical regulator in metabolic reprogramming to delay pathological myocardial remodeling. Promoting SF3A2 deacetylation, mediated by AAV9 delivery or pharmacological activation of SIRT7, improved heart function, suggesting its potential as a therapeutic target for pathological myocardial remodeling.

molecular biology↗

Structural Insights into Single-Stranded DNA Recognition and Modified Substrate Tolerance in an Engineered Terminal Deoxynucleotidyl Transferase

Terminal deoxynucleotidyl transferase (TdT) is the cornerstone enzyme for de novo enzymatic DNA synthesis (EDS), promising to overcome the length and sustainability limitations of traditional phosphoramidite chemistry. We previously identified a highly active TdT ortholog from Zonotrichia albicollis (ZaTdT) and engineered a variant (R335L/K337G) capable of efficiently incorporating 3-aminooxy (3-ONH2) reversible terminators. However, the atomic-level mechanism by which these engineered mutations alter substrate specificity has remained elusive. Here, we present the high-resolution (2.20 [A]) crystal structure of the engineered ZaTdT in complex with a single-stranded DNA primer. Structural analysis reveals a conserved catalytic core anchored by a hydrophobic platform (Phe110/Phe257/Trp308) that stabilizes the primer. Crucially, comparative modeling with the homologous murine TdT ternary complex demonstrates that the engineered mutations (corresponding to L190/G192 in the crystal structure) disrupt a rigid salt-bridge network at the active site entrance. This electrostatic remodeling not only reduces local positive charge but also expands the catalytic pocket depth from 3.8 [A] to 5.8 [A]. This specific spatial expansion provides the structural rationale for the accommodation of bulky 3-blocking groups, validating our rational design strategy and paving the way for next-generation long-read DNA synthesis.

biochemistry↗

Rapid and repeated evolution of myosin copy number in threespine stickleback

Copy number variants at genomic loci evolve at a high rate, are linked to many different diseases, and play a role in adaptive evolution in humans and other organisms. Here we show that stickleback fish from freshwater environments have rapidly and repeatedly evolved an expanded number of copies of a gene family involved in muscle development, Myosin Heavy Chain 3 Cluster C (MYH3C), compared to marine populations. Differences in copy number between marine and freshwater fish are maintained even in the presence of gene flow, suggesting that MYH3C changes represent adaptive divergence between ecotypes. Copy number expansion occurs by tandem duplication of MYH3C coding and regulatory regions on the stickleback sex chromosome. We identify a muscle regulatory enhancer within the expanded MYH3C region and show that elevated copy number is associated with developmental and tissue-specific increases in corresponding mRNA expression levels in skeletal muscle. Common MYH3C clusters include 3-, 4-, 5-, and 6-copy variants that likely evolved through a combination of microhomology-mediated break repair and non-allelic homologous recombination. Our results provide a new example of copy number changes in a wild species and identify CNVs as potential "hotspots" of repeated adaptive evolution.

evolutionary biology↗

Sampling Function-Related Metastable States of Proteins With DASH

Rational discovery of function-specific protein modulators as well as activity-enhanced engineering proteins underscore the need to identify function-related metastable states (FMSs) of proteins. However, current experimental and computational methods struggle to generate these states directly from their native state (NS), likely because the NS [->] FMS transition is non-spontaneous. To address this challenge, we introduce Deep learning guided Adaptive sampling with seed Selection and Hopping (DASH), integrating both deep learning and physical functions to guide molecular dynamics (MD) simulation towards FMS. DASH successfully sampled NS [->] FMS transitions in 18 cases across two tasks: protein activation and cryptic allosteric site opening. DASH combined with secondary-structure collective variables is further able to sample folding of disordered regions. Compared to existing methods, DASH demonstrates superior performance while requiring comparable simulation time. Crucially, we applied DASH to sample new conformations of proteins, by which revealing new folding states, previously unknown allosteric sites, and potential activators. These predictions have been further verified in wet-lab experiments and crystal structures determinations. Collectively, our framework provides a robust strategy for function-specific pharmacy research and could accelerate future drug discovery efforts.

bioinformatics↗

The natural flavonoid dihydromyricetin targets senescent cells via PRDX2 and alleviates age-related diseases

Aging is a preeminent risk factor for chronic diseases, with cellular senescence as one of the major hallmarks and an effective target to delay, prevent or alleviate age-related disorders. Here we report in vitro screening outputs from a natural medicinal agent (NMA) library, wherein dihydromyricetin (DMY), a natural flavonoid, showed senotherapeutic potential. DMY protected senescent fibroblasts from further DNA damage and attenuated the senescence-associated secretory phenotype (SASP), acting as a senomorphic agent. Proteomics suggested that DMY promotes nuclear translocation of peroxiredoxin 2 (PRDX2), a reactive oxygen species (ROS) scavenger, facilitating DNA repair in senescent cells. In prematurely aged mice, DMY administration mitigated tissue aging changes and age-related physiological decline. In anticancer regimens, DMY improved outcomes of chemotherapy. However, DMY demonstrated senolytic activity against senescent microglial cells, wherein basal PRDX2 expression remains low, by impairing mitochondrial function to promote ROS-mediated apoptosis. In mice developing an Alzheimers disease (AD)-like state, DMY eliminated senescent microglial cells from amyloid {beta}-protein (A{beta}) plaques, alleviating A{beta}-associated pathological phenotypes. Together, our study proposes DMY to be a natural senotherapeutic agent representing a therapeutic solution for mitigating age-related morbidities including but not limited to cancers and AD.

cell biology↗

A haplotype-resolved, chromosome-scale genome assembly and annotation for Carya glabra (pignut hickory; Juglandaceae)

Carya glabra (2n = 4x = 64), also known as pignut hickory, is a widely distributed species in the walnut family (Juglandaceae). Native to the central and eastern United States and southeastern Canada, C. glabra plays an important ecological role as a common upland forest species; it is closely related to several economically valuable nut trees, including C. illinoinensis (pecan). A deeper understanding of the genetics of C. glabra is essential for studying its evolutionary history and biology, with potential implications for agricultural improvement of pecan. Here, we present the first nuclear genome assembly and annotation of C. glabra. The assembly is chromosome-level and phased, representing the first assembled polyploid genome in the genus Carya. A total of 64 pseudochromosomes were assembled and phased into four haplotypes. The haplotype A assembly spans 600.4 Mb, comprises 55.0% repetitive sequences, and contains 30,947 protein-coding genes, with a BUSCO completeness score of 97.7%. Functional annotation assigned 94.3% of haplotype A genes to gene families, and 79.7% and 86.3% of genes were annotated with Gene Ontology terms and protein domains, respectively; 635 putative plant disease resistance genes were found in haplotype A. The other three haplotypes exhibited similarly high-quality annotation metrics. Our genomic analyses also suggest that C. glabra is an autotetraploid. Comparative genomic analyses revealed high collinearity among the four haplotypes of C. glabra and the published genomes of three other Carya species, although structural variation among the genomes of these species was identified. In addition, we provide an improved chloroplast genome assembly and the first mitochondrial genome for C. glabra. Importantly, most members of the research team are undergraduate students; the sequenced individual is located in McCarty Woods, a Conservation Area on the University of Florida campus. This work highlights the value of genome assembly efforts as powerful tools for teaching genomics and supporting conservation initiatives. This first high-quality reference genome for C. glabra provides a valuable resource for studying Carya, a genus of significant ecological and economic importance. Article summaryCarya glabra (pignut hickory) is a common upland forest species in North America. This species is a member of the walnut family (Juglandaceae), which includes many economically important nut trees. Here, we present the first nuclear genome assembly and annotation of C. glabra. The assembly is chromosome-level and phased. The haplotype A assembly contains 30,947 protein-coding genes, with a BUSCO completeness score of 97.7%. Our genomic analyses suggest that C. glabra is an autopolyploid. We also provide chloroplast and mitochondrial genome assemblies. This nuclear genome provides a valuable resource for studying Carya, a genus of significant ecological and economic importance.

genomics↗

Efficient Generation of Humanized Cloned Cattle via Embryonic Stem Cell-Mediated Dual-Round Site-Specific Editing

Transgenic cloning allows genetic modification in cattle, yet its translational potential is constrained by low cloning efficiency and limited gene-editing capacity, due largely to the restricted proliferative ability of somatic donor cells. Pluripotent stem cells (PSCs), with their unlimited self-renewal ability, represent a promising alternative to overcome these bottlenecks. Here, we first established stable bovine epiblast stem cell lines (bEpiSCs) and achieved site-specific integration of the HCSN2-HLF-GFP cassette into the {beta}-casein locus, with high transfection (72.07%) and correct integration efficiency (80.48%). Following Cre LoxP mediated excision of the selectable marker, we obtained marker free HCSN2-HLF bEpiSCs that retained pluripotency markers, tri lineage differentiation potential, and supported target protein expression in immortalized bovine mammary epithelial cells. When used as nuclear donors, these cells produced blastocysts with quality comparable to in vitro fertilization (IVF) embryos. Notably, cloning with HCSN2-HLF bEpiSCs resulted in the birth of twelve calves, with significantly higher birth and survival rates (30.71% and 16.74%, respectively) than those obtained using fibroblasts. Both PCR-based genotyping of the edited loci and microsatellite kinship analysis confirmed that all cloned calves were genetically derived from the HCSN2-HLF bEpiSCs. Collectively, this study establishes an efficient embryonic stem cell based platform for targeted gene editing and rapid production of multigene edited cloned cattle, offering a scalable strategy with strong potential for industrial translation.

bioengineering↗

Structural Mechanism of Specific Nucleobase Recognition by a Monoclonal Antibody in CoolMPSTM Sequencing

Massively parallel sequencing (MPS) has revolutionized genomics, yet traditional methods utilizing fluorescently labeled nucleotides suffer from "scarring" effects that limit read accuracy. The CoolMPS technology overcomes this by using unlabeled reversible terminators (RTs) with a 3-O-azidomethyl blocking group, detected by highly specific fluorescent antibodies. However, the atomic-level mechanism by which these antibodies discriminate between modified and natural nucleotides within a DNA strand remains unclear. Here, we report the crystal structures of the "A-fab" antibody fragment in complex with the monomeric antigen 3-O-azidomethyl-dATP (dATP-N3) at 2.50 [A] resolution, and with an one strand of the duplex carries an azide-modified deoxyadenosine nucleotide at its 3' terminus (dsDNA-dATP-N3) at 1.99 [A] resolution. Isothermal titration calorimetry (ITC) revealed that A-fab binds dATP-N3 with nanomolar affinity (KD{approx}17.14 nM), while binding to natural dATP is negligible (KD{approx}7.51{micro}M), representing a [~]440-fold specificity. Structural analysis reveals a conserved hydrophobic pocket formed by CDR residues (e.g., Trp79, Tyr53, Leu67) that specifically accommodates the 3-azidomethyl group. This interaction is critical for affinity and is maintained in the dsDNA-ATP-N3 complex, validating the antibodys function in a sequencing context. These findings provide the structural rationale for the high fidelity of the CoolMPS platform.

biochemistry↗

Understanding the LLM-based gene embeddings

Large language model (LLM)-derived gene embeddings, generated from brief NCBI gene descriptions, have shown strong performance in recent biological applications, yet the biological information they contain remains unclear. We evaluate these embeddings using a Gene Set Enrichment Analysis (GSEA)-based framework that treats each embedding dimension as a potential carrier of pathway-level information. OpenAIs embeddings recover over 93% of Hallmark and C2 pathways, with pathway signals distributed across many dimensions. Even embeddings generated from gene symbols alone recover more than 64% of pathways, indicating substantial prior biological knowledge embedded in the model. Comparing 11 small language models reveals that domain-specific models perform best with minimal input, but all models approach OpenAI-level coverage when given modest textual context. Collectively, these results show that LLM-derived embeddings encode unexpectedly extensive pathway-level information, supporting their use as lightweight, informative representations for downstream biological analysis.

bioinformatics↗

Dual cholinergic mechanisms for sculpting striatal dopamine in vivo

Striatal dopamine (DA) and acetylcholine constitute a computationally powerful neuromodulatory dyad that orchestrates action selection, motivational vigor, and reward learning. Striatal cholinergic interneurons (CINs) synapse onto DA axons and stimulate DA release via {beta}2-containing nicotinic receptors ({beta}2-nAChRs), providing a local modulatory channel distinct from midbrain-derived spikes. Yet whether this mechanism operates in vivo and how it contributes to striatal computations, orthogonal to those facilitated by prediction errors encoded in the DA somata, remains unresolved. Using spatiotemporally precise optogenetic stimulation of CINs paired with ultrafast DA imaging in the dorsal striatum, we identify a biphasic mode of CIN-evoked DA release in awake mice. CIN activation evoked an ultra-fas {beta}2-nAChR-dependent DA transient peaking within ~40 ms that requires millimeter-scale CIN synchrony and is systematically obscured by conventional imaging bandwidths or slow DA sensor kinetics. A second, delayed DA elevation peaking at ~180 ms persisted despite {beta}2-nAChR blockade and is mediated by muscarinic receptors, 7- and 6*-nAChRs, and a non-cholinergic CIN messenger, revealing a previously unrecognized polysynaptic CIN mechanism. Our observations reconcile discrepancies between slice and in vivo studies and show that CINs engage DA release through two mechanistically distinct pathways: (i) an ultra-fast, monosynaptic mode provides a spatially expansive DA signal ideally positioned to reconfigure striatal microcircuits globally, and (ii) a slower, spatially flexible polysynaptic DA mode suited for sustaining ongoing decisions. This dual architecture expands the computational repertoire of striatal DA dynamics in behavioral and cognitive control.

neuroscience↗

Characterizing the Effects of Protein Glycosylation Perturbation on Phosphorylation Signaling

Protein glycosylation and phosphorylation constitute two pervasive regulatory layers in mammalian cells, yet the effects that protein glycosylation play in phosphorylation signaling remain poorly understood. Here we show that controlled perturbation of N-linked glycan biosynthesis through glycoengineering fundamentally rewires phosphorylation signaling networks in human cells. Using comprehensive proteomics approaches, we simultaneously profiled the global proteome, glycoproteome, and phosphoproteome in engineered HEK293 cells designed to eliminate core fucosylation while enhancing sialylation and reducing GlcNAc branching complexity. Glycoengineering emerged as the dominant source of molecular variation across all datasets, with over 9,800 intact glycopeptides identified of which 3,400 are significantly altered, establishing a remodeled baseline cellular state. Upon serum stimulation, engineered cells not only exhibited markedly decreased phosphorylation responses compared to wild-type cells, but comprehensively re-wired to prefer signaling away from canonical EGFR/mTOR growth pathways. These findings establish a systematic framework for targeting glycosylation-phosphorylation regulation and nominate glycan-dependent signaling nodes as potential therapeutic vulnerabilities in glycosylation-remodeled disease states.

cell biology↗

Ultrahigh-Throughput Forster Resonance Energy Transfer-Activated Droplet Sorting for Terminator Polymerase Engineering

Droplet microfluidic screening systems enable high-throughput, labor-saving enzyme directed evolution by employing fluorescence, absorbance, and Raman-activated sorting strategies for library screening. Forster resonance energy transfer (FRET) - a nanoscale technique for monitoring intramolecular/intermolecular conformational changes - is yet to be integrated into this process. We upgraded a single-channel sorter to a dual-channel one without redesigning the microscopy setup, which can monitor FRET signals during enzyme reactions in droplets at kilohertz rates. We applied this upgraded sorter to improve the incorporation efficiency of KOD DNA polymerase towards reversible terminator deoxyribonucleotides, a property crucial for its application in next-generation sequencing (NGS). Our data show that a single-round sorting can achieve 30-fold enrichment of active variants. Five KOD variants enabling 100-cycle single-end runs of DNA sequencing were identified using a novel cyclic reversible termination (CRT) substrate featuring a terminator group {approx} 5-fold bulkier than the classical azidomethyl moiety. We also engineered a metagenome-derived novel polymerase, and a variant achieving 90% terminator incorporation efficiency within 2 minutes was identified after two rounds of enrichment. In sum, we provide a practical setup for dual-channel FRET-based droplet sorting, and demonstrate its ability in terminator polymerases engineering, thereby broaden the scope of microfluidic applications.

biochemistry↗

PERFECT PCR: Advancing DNA Data Storage to Near-Maximal Density

DNA-based data storage offers unprecedented storage density and durability compared to traditional media, but it faces challenges in long access latency and limited encoding efficiency. Current DNA storage methods achieve only 8% of the theoretical maximum storage density (TMSD) due to biological constraints and error rates. Here, we demonstrate an approach that improves both synthesis speed and encoding density, bringing DNA data storage closer to practical implementation. We describe Polymerase-Enabled Rapid and Frugal Error Correcting Technology (PERFECT) PCR, which integrates PCR with hyperthermophilic EndoNucS enzymes for efficient DNA mismatch detection and cleavage, enabling accurate and fast DNA synthesis using overlapping oligonucleotides. This approach reduced latency while streamlining the overall DNA synthesis process, achieving significantly lower error rates in amplicons compared to state-of-the-art methods, thereby reducing physical redundancy. Specifically, we achieved a substantially reduced error rate of 0.06 errors per kilobase, with 95% of sequences verified as accurate. As a result, our technique reached 94% TMSD, representing a twelve-fold improvement over current systems and approaching the theoretical limit for existing sequencing technologies. We further validated the versatility of PERFECT PCR by successfully encoding and retrieving digital images, music files, and multilingual text files with near-perfect information recovery. By addressing the core challenges of latency, density, and accuracy, our approach brings DNA-based data storage significantly closer to practical implementation. In addition, the accurate DNA synthesis methods described here may be applied to de novo genome assembly and therefore have broad implications for the synthesis and analysis of biological systems. SUMMARYLow cost, rapid, and error free de novo DNA synthesis for DNA-based data storage and gene synthesis applications.

bioengineering↗

Romaciclib, a CDK8/CDK19 inhibitor, can overcome venetoclax resistance through a combinatorial strategy

The combination of venetoclax (VEN) and hypomethylating agents (HMA) is the standard of care in acute myeloid leukemia (AML) for elderly patients unfit for intensive chemotherapy. Despite its clinical success, most patients eventually relapse, creating an urgent need for effective therapeutic alternatives. In this study, we aimed to evaluate the potential of romaciclib, a first-in-class CDK8/CDK19 inhibitor, in combination with VEN to overcome stroma-mediated and primary/acquired VEN-resistance. We assessed the efficacy of RVU120+VEN combination in both sensitive and resistant AML cell lines and primary patient-derived models. Our finding demonstrated that romaciclib synergizes with VEN in AML cell lines and in 8 out of 11 patient-derived cell samples. The proteomic and functional studies demonstrated that combination induced apoptosis through caspase-dependent cleavage of MCL-1. In vivo studies confirmed the efficacy of RVU120+VEN, showing eradication of leukemic cells and bone marrow recovery. Importantly, the combination effectively overcame both stroma-mediated and transcriptionally dependent VEN-resistance. Mechanistic studies, focusing on transcriptomic analyses, identified key resistance-associated pathways, including IL6/JAK/STAT3, TGF-{beta}, PI3K/AKT/MTOR, and inflammatory signaling, being suppressed by combination treatment. Furthermore, an in vivo study using a VEN-resistant patient-derived xenograft (PDX) model confirmed the efficacy of the combination, demonstrating a significant reduction in leukemia burden and a decreased proportion of leukemia initiating cells (LIC) following treatment. These findings prove the highly synergistic mechanism of action of RVU120+VEN combination and the potential to overcome primary/acquired VEN resistance in relapse/refractory AML disease. Altogether, the presented results support ongoing clinical studies evaluating romaciclib and VEN in VEN/HMA-refractory patients (NCT06191263) and provide a basis for future exploration as a frontline therapy in VEN-naive patients.

cancer biology↗

Polus: a Transformer-based Soft-decision Codec Enhancement Platform for DNA Storage

DNA storage offers exceptional information density and archival longevity, but is constrained by the complex, heterogeneous errors inherent to synthesis, storage, and sequencing. Conventional error-correction schemes often rely on excessive logical redundancy to mitigate these biochemical imperfections, thereby compromising storage efficiency. Here, we introduce Polus, a deep-learning-enabled platform that bridges the gap between biochemical constraints and digital reliability through soft-decision decoding. At its core is SeqFormer, a Transformer-based channel model that synergizes sequence context with quality signals to characterize platform-specific error profiles, generating calibrated per-base confidence scores. This mechanism transforms uncertain biochemical noise into informative "soft" erasures. In in silico benchmarks, Polus significantly enhances mainstream codecs: it reduces the sequencing coverage required for DNA Fountain by 38.9% --increasing effective physical density by [~]80%--and eliminates persistent indel-induced errors in the Yin-Yang codec. Furthermore, it enables a targeted resequencing strategy that achieves full recovery with 99.9% less overhead than brute-force deepening. To formalize these gains and address the lack of systematic benchmarking in the field, Polus establishes a standardized nine-metric evaluation framework that rigorously quantifies the trade-offs between reliability, density, and cost. This work provides a reproducible, quantitative foundation for next-generation, context-aware DNA storage systems.

bioinformatics↗