Biology subjects

Cui, J.

Publications and source records attributed to Cui, J..

At least 19 recordsLinked to original sources

bioRxiv2026

Catamers: Multi-specific therapeutics that concatenate individual warheads on a DNA scaffold via Watson-Crick interactions

We describe the concept for a new modality to create multi-specific therapeutics that utilizes modified nucleic acids as a scaffold to concatenate multiple warheads (hence called 'catamers'). Catamers are assembled via Watson-Crick interactions into multi-specific molecules from individual components such as ligand-binding modules, protease-cleavage sites, and toxins. Each warhead is covalently bound to an oligonucleotide, which in turn is connected to the catamer scaffold. Post-synthesis of the individual catamer components, they are annealed together such that Watson-Crick base pairs on the oligonucleotides dictate the organization of the warheads on the complete catamer. Notably, catamers are not aptamers, though they can contain aptamers as warheads, along with small molecules and peptides. By design, catamers are intended to address three key problems that have hamstrung the field of multi-specifics: (i) optimization rate; (ii) manufacturing cost; and (iii) unpredictable immunogenicity (Amash et al., 2024 PMID: 39189686). Catamers are purely synthetic and do not require cultured cells to produce. These advantages are based on the underlying design of the catamer and will require experimental validation in future studies. As a proof-of-concept catamer, we focus on a prostate-specific membrane antigen (PSMA)-targeted toxin conjugate. In molecular simulations, this catamer displays structural characteristics to support its intended pharmacology. Importantly, the design addresses one of the key shortcomings of antibody drug-conjugates (ADCs): off-target toxicity caused by release of the toxin after pinocytosis by healthy cells in contact with the blood.

molecular biology↗

bioRxiv2026

Multi-kingdom microbial diversity and interaction landscapes in mosquitoes revealed by 5,163 individual meta-transcriptomes

Mosquitoes are pathogen vectors embedded within diverse microbial ecosystems. However, the nature and interactions among their multi-kingdom microbiome remain poorly understood. We conducted a nationwide single-mosquito meta-transcriptomic survey of 5,163 mosquitoes representing 100 species across China, integrating viral discovery with marker-gene profiling of bacteria, archaea, fungi, and other eukaryotic microbes. From this, we identified 1,606 microbial species-level taxa, including extensive novel diversity, and revealed pronounced host species-specific organization of mosquito-associated communities. We detected 34 pathogens or potential pathogens of human or animal relevance, whose prevalence, abundance, host range, and geographic distribution defined distinct epidemiological patterns. Network analysis uncovered pervasive cross-kingdom microbial associations, including candidate antiviral relationships involving Wolbachia and other microbial taxa. Our study establishes a detailed view of the full-spectrum microbiome and provides a resource and conceptual framework for studying vector competence, pathogen emergence, and microbiome-informed mosquito-borne disease control.

microbiology↗

bioRxiv2026

Cytokinesis Arrest-induced Binucleation of Macrophages ProducesHighly Efficient Efferocytes

Efferocytosis, the phagocytic clearance of dying cells and debris, supports tissue homeostasis, immune tolerance, and inflammation resolution, whereas its failure contributes to autoimmunity, atherosclerosis, aging, and impaired tissue repair. Although many molecular regulators of efferocytosis have been defined, less is known about whether macrophages can be reprogrammed into a distinct cellular state with intrinsically enhanced efferocytosis capacity. Guided by a CRISPR screen, we found that Pdcd6ip loss induces cytokinesis arrest and binucleation, creating macrophages with superior efferocytic function. Binucleated Pdcd6ip-/- bone marrow-derived macrophages demonstrate a coordinately enhanced multi-corpse capture and processing, and resolution response, and acquired a distinct transcriptomic signature. In vivo, Pdcd6ip deletion enhanced splenic macrophage efferocytosis, reduced autoimmune responses after repeated apoptotic cell challenge, and promoted plaque stability without metabolic or hematologic changes. PDCD6IP perturbation similarly increased binucleation and engulfment in human macrophage-like cells. Thus, incomplete cytokinesis represents an unrecognized route to macrophage specialization with enhanced efferocytosis capacity.

cell biology↗

bioRxiv2026

T50 O-GlcNAc PKM2 promotes aerobic glycolysis and PDAC progression via ARNT-CDC27-AKT pathway

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers and more evidence suggests that glucose metabolism plays a significant role in the development and progression with glycosylation at multiple sites potentially being a key characteristic. However, the underlying mechanisms remain insufficiently studied. Here, we first confirmed the presence of O-GlcNAc glycosylation modifications at Thr50 on PKM, which is highly expressed in PDAC and strongly correlated with poor prognosis. Further, we found that PKM expression was significantly positively correlated with CDC27 levels, and mutation of the Thr50 O-GlcNAc site in PKM abolished the upregulation of CDC27. We confirmed that O-GlcNAc-modified PKM enhances nuclear translocation of ARNT, which binds to the CDC27 promoter to upregulate its expression. Finally, we demonstrated that reduced expression of CDC27, as a key component of the APC/C complex, leads to downregulation of ubiquitination at the K11 site of PPP2CA, resulting in upregulation of PPP2CA expression, in turn, reduces AKT phosphorylation, ultimately driving PDAC regression by inhibiting aerobic glycolysis. Thus, we delineate a novel O-GlcNAcylation-dependent pathway where PKM drives PDAC progression through ARNT-mediated CDC27 transcriptional activation and AKT-mediated glycolysis.

cancer biology↗

bioRxiv2026

Screening of Isolation and Culture Conditions of Lactic Acid Bacteria in Mongolian Horse Feces

ObjectiveThis study aimed to establish an efficient isolation, culture, and preservation system for lactic acid bacteria from Mongolian horse feces by systematically evaluating the effects of sampling methods, culture conditions, media types, and cryopreservation protocols. MethodsFecal samples were collected using rectal and natural defecation methods, and bacteria were isolated by the spread plate technique, with isolates subcultured and identified via 16S rRNA gene sequencing. The performance of five commercial media (A-E), aerobic versus anaerobic conditions, and different glycerol concentrations (10% and 30%), temperatures (-20 {degrees}C and -80 {degrees}C), and storage durations (7, 15, and 30 days) were compared. ResultsRectal sampling showed significantly higher lactic acid bacterial survival and greater species diversity (12 vs. 8). Anaerobic culture yielded substantially higher counts and diversity (707 strains, 12 species) compared to aerobic conditions (36 strains, 5 species). Medium C (M.R.S. AGAR) exhibited the best isolation performance, producing the highest number of strains (311) and species (11), with selective enrichment for both bacilli and cocci. Glycerol effectively improved strain survival during sample cryopreservation, with the optimal short-term storage ([≤]15 days) achieved at -20 {degrees}C with 30% glycerol. Functional screening of randomly selected strains from optimized conditions demonstrated promising growth, acid and bile salt tolerance, and antimicrobial activity. ConclusionRectal sampling combined with anaerobic incubation using Medium C is recommended for optimal isolation. For samples that cannot be processed immediately, short-term preservation at -20 {degrees}C with 30% glycerol prior to isolation is effective. This study provides practical technical references for the acquisition and preservation of equine intestinal lactic acid bacteria resources.

microbiology↗

bioRxiv2026

A self-organized geometry sensing oscillator spatially regulates cell division in archaea

Cell division must be tightly regulate in time and space. Many bacteria and eukaryotes employ geometry sensing systems to regulate cell division spatiotemporally. However, how archaea ensure they divide in the right place at the right time is little understood. Here, we report the discovery of a geometry sensing oscillator that determines the division plane in the model haloarcheon Haloferax volcanii, which relies on two tubulin-like proteins, FtsZ1 and FtsZ2, for division. This archaeal oscillator (named as Arco system) is composed of three components, ArcoA, ArcoB and ArcoC, which are a membrane associated Ras superfamily GTPase, a SepF-like protein and an antagonist of FtsZ1, respectively. ArcoA interacts with both ArcoB and ArcoC. ArcoAB sense the geometry of the cell to oscillate between the two cell poles, generating a time-averaged ArcoC gradient which is high at the cell poles but low at the midcell, where FtsZs can assemble into the Z ring to initiate cytokinesis. As a result, deletion of the Arco system caused aberrant FtsZ assembly throughout the cell, leading to irregular division and formation of minicells. Interestingly, the Arco system is globally distributed among archaea and co-occurs with FtsZ1, suggesting that it emerged in the last archaeal common ancestor (LACA). The oscillatory behavior and phenotypes of the archaeal Arco system is remarkably analogous to the bacterial Min system and yet share no protein homology, representing a remarkable example of convergent evolution. Overall, these results suggest that archaea, similar to bacteria and eukaryotes, independently evolved self-organized Turing reaction diffusion systems to sense geometry and spatially regulate cell division.

microbiology↗

bioRxiv2026

Systematic identification of cell division proteins in haloarchaea and the discovery of a membrane anchor for the Z ring

Most archaea rely on the tubulin-like protein FtsZ for division. In the last decade, several novel cell division proteins have been discovered in the model haloarchaeon Haloferax volcanii which contains two FtsZ proteins, FtsZ1 and FtsZ2. However, the composition of this FtsZ-based archaeal divisome is largely uncharacterized. Here, using in vivo crosslinking coupled with immunoprecipitation and mass spectrometry (CLIP-MS), we identified ten proteins that localize to the division site, including wide-spread proteins predicted to be involved in DNA binding and energy metabolism. Deletion analysis indicate that most of these proteins have a modest or minor impact on cell division, but HVO_0399, renamed as Cell Division Protein C (CdpC), is important for cell division and functions as a membrane anchor for FtsZ1. CdpC consists of three domains, an N-terminal domain (NTD) containing an amphipathic helix critical for membrane binding, a long intrinsically disordered linker, and a C-terminal domain (CTD) that binds FtsZ1 with high affinity and likely promotes its polymerization. Notably, both the NTD and CTD of CdpC harbor a zinc finger that is indispensable for its function. Phylogenetic analysis indicates that CdpC sequences evolved fast across haloarchaea, but exhibited high conservation in domain structure and critical residues found in this study. Overall, our study expands the repertoire of candidate division proteins and establishes CdpC as a membrane anchor for FtsZ1 in haloarchaea. These findings pave the way for in-depth studies of arcaheal cell division and broaden the function of zinc finger proteins in archaea.

microbiology↗

bioRxiv2026

mirCCC: Repression-aware graph learning for miRNA-mediated cell-cell communication inference

Cell-cell communication analyses usually focus on protein ligands and receptors and therefore miss extracellular vesicle transfer of microRNAs, an important route of signalling in cancer. Here we show that microRNA-mediated communication can be inferred from standard single-cell RNA sequencing by detecting coordinated decreases in the expression of validated miRNA target genes. We developed mirCCC, a computational framework that estimates cell-specific microRNA activity, models cellular sending and receiving capacity for extracellular vesicle transfer, and learns microRNA-resolved communication graphs from transcriptomic data. In synthetic benchmarks with strong confounding signals, mirCCC improved whereas all comparison methods declined. Applied to a human colorectal cancer atlas, mirCCC recovered known colorectal cancer-associated microRNAs and identified stromal- and myeloid-to-epithelial communication converging on a plasticity program linked to TGF-{beta} and Wnt/{beta}-catenin signalling. These results provide a practical route for studying extracellular vesicle-mediated communication in existing single-cell atlases. Author summaryCell-cell communication plays important roles across a wide range of biological processes. Most studies of cell-cell communication focus on interactions between ligands and receptors. However, cells can also use extracellular vesicles to deliver microRNAs (miRNAs), which regulate gene activity in receiving cells and contribute to cancer progression, immune regulation, and changes in the tissue environment. Since standard single-cell sequencing does not directly capture miRNAs, this mode of communication remains largely unexplored. Here we developed mirCCC, a computational method for inferring miRNA-mediated communication from standard single-cell transcriptomic data. Instead of detecting miRNAs directly, mirCCC examines the effects they leave in receiving cells. Active miRNAs often cause coordinated suppression of their target genes. mirCCC uses these coordinated reductions in the expression of known target genes to estimate miRNA activity and combines them with the ability of sending cells to package and release miRNAs and of receiving cells to process them. It can therefore reconstruct directional communication networks for individual miRNAs. Our evaluations show that mirCCC remains reliable in the presence of misleading signals and reveals biologically meaningful regulatory patterns in human colorectal cancer data. Overall, mirCCC provides a practical way to study miRNA-mediated cell-cell communication using existing single-cell transcriptomics datasets.

bioinformatics↗

bioRxiv2026

MLL3 adaptor function, not methyltransferase catalytic activity, is essential for breast tumor suppression

MLL3 (Mixed-Lineage Leukemia 3), also known as KMT2C, is one of the most frequently altered epigenetic regulators in breast cancer. MLL3 loss-of-function leads to accelerated tumor onset and growth and increased metastasis. As a large multi-domain protein, MLL3 functions as a histone methyltransferase and a nuclear protein adaptor interacting with other epigenetic proteins. Since breast cancer MLL3 mutations are often truncating mutations that lead to protein degradation, whether the MLL3 tumor suppressor activity depends on its catalytic activity or non-catalytic chromatin adaptor function remains unclear. Here, using CRISPR genetically engineered mouse mammary stem cell organoid-based breast tumor models, we dissected dosage-dependent and domain-specific functions of MLL3 in breast tumor suppression. MLL3 heterozygous loss breast tumor models revealed that MLL3 is haplo-insufficient for breast tumor suppression. Interestingly, homozygous catalytic-dead MLL3-Y4792A mutation did not accelerate tumor onset, growth, or metastasis. By contrast, G367V mutation in the PHD2 domain, which disrupts the BAP1 complex binding without affecting MLL3 protein stability, accelerated tumor onset and growth, phenocopying MLL3 loss. Mechanistically, MLL3 loss impaired chromatin localization of UTX, and genetic depletion of UTX accelerated breast tumor progression in MLL3-wildtype but not MLL3-deficient cells. Integrated RNA-seq, CUT&TAG, and ATAC-seq analyses further showed that transcriptional changes induced by MLL3 loss were more closely associated with promoter-proximal alterations in H3K27Ac, H3K27me3, and chromatin accessibility than with putative MLL3-dependent enhancer regions. Together, these findings reveal that MLL3 suppresses breast tumor initiation through a dosage-sensitive, catalytic-independent adaptor function that regulates promoter-proximal epigenetic states.

cancer biology↗

bioRxiv2026

Piezo1 transduces mechanical signals to inhibit osteoclast fusion and coordinate bone homeostasis

Osteoclasts originate from bone marrow-derived macrophages, and their maturation relies on fusion of pre-osteoclasts into mature osteoclasts that maintain bone homeostasis. Previous studies established that mechanical signals regulate osteoblast activity in bone homeostasis, although whether such signals regulate bone homeostasis by acting on osteoclasts remains unclear. Herein, membrane tension decreased during pre-osteoclast fusion, accompanied by reduced Piezo1. This suggests that mechanical stimulation inhibits fusion of monocytes into osteoclasts through Piezo1. Piezo1-knockout monocytes (CTSKCre; Piezo1fl/fl) attenuated the anabolic effect of exercise on bone mass in vivo, whereas shear stress inhibited osteoclast fusion in vitro. Piezo1 activation elevated E-cadherin, which anchors Merlin. This led to hyperactivation of the Yes-associated protein (YAP) signaling pathway, subsequently activating TAX1BP1 and suppressing NF-{kappa}B signaling as well as osteoclast differentiation and maturation. Thus, physical exercise activates a Piezo1-E-cadherin-Merlin-YAP axis that prevents osteoclast fusion, presenting a druggable mechanotransduction pathway for osteoporosis.

cell biology↗

bioRxiv2026

Linezolid Acts as a Selective Inhibitor of the JAK2V617F Mutation

The JAK2V617F (JAK2VF) driver mutation is found in 95% of patients with polycythemia vera (PV), a progressive myeloproliferative neoplasm. Current treatments suppress excessive hematopoiesis but lack specificity for targeting JAK2VF cells, are unable to deplete mutant stem/progenitor cells and ultimately result in drug resistance. We discovered that the FDA-approved antibiotic, linezolid (LZD), ameliorates the PV phenotype across multiple model systems. LZD suppressed cell proliferation and STAT5 signaling, altered the cell cycle, and increased apoptosis of JAK2VF-harboring human erythroleukemia cells, but not in wild-type acute leukemia cells. Computational modelling indicated that LZD interacts specifically with mutant JAK2VF but not with wild-type JAK2 protein. We further showed that, in JAK2VF mice that faithfully recapitulate human PV, LZD mitigates disease burden by selectively targeting JAK2VF stem cells thereby normalizing spleen size and blood counts. LZD also inhibited hematopoietic colony formation by patient-derived peripheral blood mononuclear cells, with the more primitive progenitors being preferred targets. Importantly, LZD selectively decreased JAK2VF+ colony numbers, without impacting wild-type JAK2 colonies. In all, the data provide a firm foundation for evaluating LZD-like molecules as an effective therapy for PV and other myeloproliferative neoplasms. Key pointsO_LILinezolid acts as a JAK2V617FIZselective inhibitor in PV mouse models and PV patient samples while sparing wildIZtype hematopoiesis. C_LIO_LILinezolid acts directly on JAK2V617F hematopoietic stem cells. C_LI

cancer biology↗

bioRxiv2026

A new Persister Enrichment Model in Mycobacterium tuberculosis links multidrug persistence to drug sequencing and maltokinase-dependent carbon distribution.

Prolonged combination chemotherapy is required to cure Tuberculosis, in part because Mycobacterium tuberculosis (Mtb) forms antibiotic-tolerant persister cells that survive exposure to bactericidal drugs. Experimental systems to study multidrug persistence in Mtb remain limited. Here, we describe a rapid and tractable Persister Enrichment Model (PEM) in which removal of glycerol markedly increases the frequency of multidrug-tolerant Mtb cells that survive exposure to high concentrations of bactericidal antibiotics with distinct mechanisms of action. Persister enrichment in PEM depends on carbon source identity rather than carbon abundance and enables direct interrogation at the transition from active growth into multidrug tolerance. Using PEM, we show that the temporal order of isoniazid (INH) and rifampicin (RIF) exposure shapes the magnitude of multidrug persistence. A transposon sequencing screen under combination drug pressure identified maltokinase (mak) as a major determinant of multidrug persistence. Deletion of mak enhanced susceptibility to INH+RIF in PEM and impaired bacterial survival during the persistent phase of infection in mice. Metabolic analyses reveal that loss of mak destabilizes carbon distribution during co-catabolism of glycolytic carbon sources, leading to defective growth and antibiotic persistence. This defect is ameliorated by inactivating mutations in glucose-1-phosphate adenylyltransferase (glgC), which alleviate the buildup of ADP-glucose. Together, these findings establish PEM as a practical platform to study multidrug persistence, reveal that drug sequencing can influence entry into multidrug tolerance, and identify maltokinase-dependent carbon distribution as a metabolic vulnerability that constrains Mtb survival. ImportanceTuberculosis treatment requires prolonged multidrug chemotherapy in part because Mycobacterium tuberculosis forms antibiotic-tolerant persister cells that survive bactericidal drug exposure. However, experimental systems to study multidrug persistence remain limited, and the metabolic mechanisms underlying this phenotype are poorly understood. Here, we establish a rapid and experimentally tractable Persister Enrichment Model (PEM) that enriches multidrug-tolerant M. tuberculosis populations by removing glycerol from culture medium. Using this model, we demonstrate that the order of antibiotic exposure influences multidrug persistence both in vitro and in vivo and identify maltokinase-dependent carbon distribution as a critical determinant of persistence and long-term bacterial survival. These findings provide a new platform for studying multidrug tolerance and reveal carbon buffering pathways as potential therapeutic vulnerabilities that could help shorten tuberculosis treatment.

microbiology↗

bioRxiv2026

Brain Organoids, Lessons from Fetal Neocortex Formation, and Rational Design for Quality Control

Recent widespread adoption of cerebral organoid protocols has led to many new studies assessing the human-specific features of neural diseases. However, not all organoid studies employ proper quality control, which limits the physiological relevance of their findings. Here, we discuss the stages of in vivo neocortex formation and how those stages are recapitulated in organoid protocols. We then present the first guide for real-time operator removal of maldeveloped organoids in shaking culture. Finally, we show preliminary work on an organoid imaging and mesofluidic control platform for automated quality control of organoid development. Taken together, this approach for assessing the morphological features of organoids will improve the rigor and reproducibility of organoid studies, increase effect sizes of physiologically relevant disease etiology, and pave the way for cortical organoid GMP in high-throughput. Clinical RelevanceThis establishes high-throughput, visual brain organoid quality control for disease studies and preclinical testing.

neuroscience↗

bioRxiv2026

Neuromodulation of Foxp2+ hypothalamic neurons induces therapeutic hypothermia

The inability to selectively trigger therapeutic hypothermia independent of environmental cooling has hindered causal analysis of its broader physiological benefits. Here, we employed P57, a natural product that pharmacologically induces therapeutic hypothermia circumventing external cold stress, to identify the neuronal substrates underlying hypothermia-induced antitumor effects. Integrating functional ultrasound imaging, activity-dependent neuronal labeling, and single-nucleus RNA sequencing, we identify a previously unrecognized population of Foxp2 neurons in the medial preoptic area (MPA) that are selectively activated by P57. Inhibition of MPA Foxp2+ neurons abolishes P57-induced hypothermia, whereas the paraventricular hypothalamus (PVH) serves as a critical downstream node. Importantly, targeted activation of MPA Foxp2 neurons is sufficient to induce sustained hypothermia, suppress systemic metabolism, and inhibit tumor growth, providing causal evidence that neuronally driven reductions in core body temperature can exert antitumor effects. Together, these findings establish MPA Foxp2 neurons as a controllable node for therapeutic hypothermia induction and demonstrate that neuromodulation of defined neuronal populations can achieve therapeutic benefit by directly controlling physiological states.

neuroscience↗

bioRxiv2026

Synergistic activation of TLR2 and Dectin-2 by mannose-capped lipoarabinomannan reprograms macrophage lipid metabolism in tuberculosis

How innate immune receptors integrate signals from complex microbial ligands remains poorly understood, yet this integration may offer new avenues for host-directed therapies. Here, we show that the architecture of a single pathogen-derived component can organize the coordinated engagement of multiple pattern-recognition receptors to reprogram host cell behavior. We find that the mycobacterial lipoglycan mannose-capped lipoarabinomannan (ManLAM) uses distinct structural features to engage two pattern-recognition receptors, Toll-like receptor 2 (TLR2) and Dectin-2, thereby driving macrophage lipid remodeling and lipid droplet accumulation, a process linked to foam cell formation and necrotizing lesion development in tuberculosis. Dual receptor engagement also potentiates NF-{kappa}B-dependent inflammatory signaling, while lipid droplet accumulation proceeds through an mTORC1-PPAR{gamma}-dependent pathway that is largely independent of NF-{kappa}B activation, indicating that metabolic and inflammatory programs are mechanistically separable. ManLAM-induced lipid remodeling closely mirrors that induced by Mycobacterium tuberculosis infection in both neutral lipid composition and pathway dependence. In contrast, other mycobacterial ligands that are lipogenic in vitro do not measurably contribute to lipid droplet accumulation during infection. These findings identify ManLAM as a major mycobacterial driver of lipid remodeling associated with foam cell formation and establish ligand architecture as a mechanism by which complex microbial ligands organize multi-receptor signaling to direct distinct host cell programs. Significance statementOur findings establish the principle that the architecture of a single microbial ligand can organize the co-engagement of multiple innate immune receptors to shape host cell responses. Using the mycobacterial lipoglycan mannose-capped lipoarabinomannan as a model, we show that distinct structural features within a single microbial component coordinate the co-engagement of TLR2 and Dectin-2 to reprogram macrophage lipid metabolism and promote lipid droplet formation, a process linked to foam cell formation and necrotizing tuberculosis lesions. These results identify a mechanism by which complex microbial ligands can integrate host sensing pathways through their molecular structure. By defining the receptor-signaling axes that control foam cell formation, this work highlights host pathways as candidate targets for host-directed intervention.

microbiology↗

bioRxiv2026

Immunoregulatory gene GIMAP6 suppresses lethal atherosclerotic vasculopathy and ischemic heart failure

Controlling hyperlipidemia has reduced but not eliminated atherosclerotic cardiovascular disease as a predominant cause of human mortality. Here, we report that loss of the immunoregulatory gene GTPase of immunity-associated protein 6 (GIMAP6), causes an inflammatory vasculopathy and accelerated atherosclerosis in the absence of hyperlipidemia. These pathologic changes in turn result in progressive cardiac ischemia, myocardial infarction, and heart failure, culminating in early death. In humans, rare deleterious GIMAP6 variants are associated with premature severe cardiovascular disease. These findings reveal GIMAP6 to play an important protective role against atherosclerotic cardiovascular disease whose identification offers opportunities for improved risk management and a target for new therapies.

immunology↗

bioRxiv2026

Chemical control of CSA geometry enables relaxation-optimized 19F-13C NMR probes

Fluorine NMR is a powerful tool for probing biomolecular structure and dynamics, yet the performance of 19F probes is fundamentally constrained by rapid transverse relaxation driven by chemical shift anisotropy (CSA). Despite its central role, CSA has largely been treated as an immutable nuclear property rather than a chemically addressable design parameter. Here we demonstrate that the geometry of the CSA tensor - specifically its magnitude, symmetry, and orientation relative to the internuclear dipolar interaction - constitutes a decisive and engineerable determinant of relaxation behavior in coupled 19F-13C spin systems. Guided by electronic-structure calculations and Bloch-Redfield-Wangsness relaxation theory, we establish quantitative design rules that predict when CSA-dipolar interference can be exploited to suppress transverse relaxation. Implementation of these principles in a cysteine-reactive fluoropyrimidine scaffold yields a reporter that supports simultaneous 19F and 13C TROSY optimization, validated by solid-state MAS NMR and protein-based experiments. When incorporated into the 42 kDa maltose binding protein, the probe exhibits exceptionally slow 13C transverse relaxation (R2 {approx} 2-3 s-1) corresponding to linewidths of [~]2 Hz that persist even at apparent molecular weights exceeding 200 kDa. These results recast relaxation optimization as a chemically programmable problem and provide a general framework for the rational design of next-generation NMR probes tailored to large, dynamic, and heterogeneous biomolecular systems.

biophysics↗

bioRxiv2025

Multimodal AI for Single cfDNA Profiling and Cancer Screening

Cell-free DNA (cfDNA) serves as a non-invasive biomarker for cancer detection, but conventional methods face challenges due to the ultra-low abundance of tumor-derived cfDNA (ctDNA) among normal cfDNA. Though nucleosome-bound cfDNA harbors rich epigenomic features that could enable ctDNA identification by single-molecule multi-omics cross-validation, this remains unexplored due to methodological limits. Here, we developed a cfDNA sequencing approach integrating methylation, fragmentomics, and histone modifications at the single-molecule level; together with gene semantics and epigenomic annotations, these modalities were vectorized and fused to represent each cfDNA molecule. We trained a Transformer-based model (cfAI) to profile and evaluate ctDNA likelihood at molecule, gene, and sample levels. cfAI achieved [~]10-fold enrichment of cancer-derived signals over noise and reached 72.6% sensitivity at 93.1% specificity for multi-cancer detection. Our study establishes an innovative framework that overcomes the inherent signal-to-noise limitations of conventional assays and reveals biological features at molecular resolution for cancer detection.

bioinformatics↗