Biology subjects

Wu, R.

Publications and source records attributed to Wu, R..

At least 19 recordsLinked to original sources

bioRxiv2026

A telomere-to-telomere genome of Holstein cattle resolves chromosome-end architecture and the genetic basis of telomere length

Telomeres safeguard chromosome-end integrity, yet population-scale dissection of telomere-length genetics has been largely restricted to humans. Here, we report a 3.01-Gb telomere-to-telomere (T2T) genome of Holstein cattle that resolves repeat-rich chromosome ends and centromeres and enables telomere-length quantification at single-chromosome-end resolution. Holstein chromosome ends show marked telomere-length asymmetry and end-specific variation in telomere variant repeats, subtelomeric tandem repeats, GC/CpG composition, and DNA methylation. Using sequencing-depth-corrected telomere-length phenotypes from 9,591 cows, teloGWAS identifies major loci encompassing RTEL1, CTC1, and TERT, while multi-tissue eQTL, sQTL, TWAS, and co-expression analyses prioritize CTC1 and implicate DNA replication, DNA repair, and stress-response networks. Together, these findings extend population-scale telomere genetics beyond humans and establish a sequence-resolved framework for chromosome-end biology and telomere-informed livestock genomics.

genomics↗

bioRxiv2026

KRAS-driven metabolic reprogramming of enhanced MFSD2A-mediated lysophosphatidylcholine scavenging promotes survival and progression of pancreatic ductal adenocarcinoma

Oncogenic KRAS drives lipid reprogramming in pancreatic ductal adenocarcinoma (PDAC) to promote disease progression, and these changes are manifest in circulation. Using mass spectrometry, we performed lipidomic analyses on plasmas from a cohort of 93 newly-diagnosed resectable PDAC cases, 43 patients with chronic pancreatitis, and 93 age- and sex-matched healthy controls, the results of which revealed pronounced reductions in circulating lysophosphatidylcholines (LysoPC) as a prominent feature associated with PDAC. Using stable-isotope resolved lipidomics, we further found that PDAC cells exhibit a lipid scavenging phenotype characterized by preferential uptake of extracellular unsaturated LysoPCs to sustain pro-growth signals. Restricting bioavailability of extracellular unsaturated LysoPCs shifted the metabolic phenotype of PDAC cells towards enhanced de novo lipogenesis and autophagy, which was accompanied by suppression of AKT signaling activities and increased susceptibility to apoptosis. Using bulk, single-cell, and spatial transcriptomic datasets together with functional experiments, we identified oncogenic KRAS-mediated upregulation of major facilitator superfamily domain-containing protein 2a (MFSD2A) as a key mediator that facilitates extracellular uptake of LysoPCs in PDAC cells. Loss of MFSD2A expression mimicked LysoPC restriction and resulted in inhibition of AKT signaling and increased propensity of PDAC cells to undergo apoptosis in vitro and suppressed tumor growth in vivo. Therapeutic targeting of the KRAS-MFSD2A-LysoPC axis via repurposing of the synthetic alkyl-lysophospholipid edelfosine promoted potent anti-cancer effects in vitro that were mechanistically attributed to reduced extracellular uptake of LysoPCs, and attenuation of AKT signaling. Collectively, our findings describe a previously unrecognized onco-metabolic program of enhanced LysoPC scavenging mediated by MFSD2A that promotes PDAC progression and that is therapeutically targetable via repurposing edelfosine.

cancer biology↗

bioRxiv2026

Stressed alga-free coral cells can initiate coral bleaching

Coral bleaching is driving the rapid decline of coral reefs worldwide, yet a fundamental question remains unresolved: does the bleaching cascade begin in the coral host or in its intracellular algal symbionts, Symbiodiniaceae? Resolving where this process starts is critical for understanding how symbiosis collapses and where early intervention might be effective. Here we use transient stress to create a temporal window between the early cellular response and subsequent symbiosis breakdown. Across transient menthol and thermal stress in soft and stony corals, bleaching developed after the stress had ended. In Xenia sp., single-cell transcriptomics revealed a broad host response before detectable symbiont loss, including coordinated redox changes consistent with conditions favouring reactive oxygen species (ROS) accumulation. Cell-resolved imaging showed that alga-free coral cells were the first to become ROS-positive, whereas Symbiodiniaceae showed no detectable ROS signal. This early host response was transmissible. Conditioned medium from stressed cultures induced the emergence of ROS-positive host cells and subsequent symbiosis breakdown in unstressed recipients. Purified ROS-positive alga-free coral cells alone were sufficient to trigger symbiosis breakdown in recipient cultures without direct stress exposure. Suppressing the early emergence of ROS-positive coral cells markedly reduced later bleaching, whereas intervention after stress was substantially less effective. These findings identify a host-initiated, intercellularly propagating route to coral bleaching and reveal an early host response that can determine the subsequent fate of the symbiosis.

cell biology↗

bioRxiv2026

Anti-defense systems of viral communitie vary with genomic traits, host immunity and environmental stress

Abstract: Background Despite the ecological importance of viral anti-defense systems (ADS), yet how viral ADS repertoires vary across microbial ecosystems remains poorly understood. Here, we integrated global virus datasets with metagenomes from heavy metal-contaminated soils and chromium-stress microcosms to investigate ecological determinants of viral ADS. Results We found that ADS repertoires were constrained by viral genome capacity, with most ADS-carrying viruses encoded a single system, whereas multi-ADS occurred mainly in larger genomes. Viral lifestyle partitioned ADS, with temperate viruses enriched in ADS targeting early-stage defenses and virulent viruses preferentially encoding ADS against mid- and late-stage defense. ADS composition also varied by host lineage and across habitats, linking viral ADS repertoires to host immune landscapes and ecosystem-specific viral strategies. Moreover, along the heavy metal contamination gradient, changes in the prevalence of ADS-carrying viruses occurred alongside shifts in prokaryotic defense profiles. In addition, expanded ADS repertoires may further increase dissemination potential of MGE-borne adaptive genes, highlighting viral ADS as a potential contributor to the adaptive evolution of microbial community. Conclusions These findings reveal that viral ADS are shaped by genomic traits, host immunity and environmental stress, with implications for virus-host interaction and microbial adaptive evolution. More broadly, this study extends anti-defense research beyond individual virus-host systems, offering an integrative, community-level perspective to guide future studies testing whether and how virus-prokaryote immune interactions contribute to microbial community dynamics and evolution in changing environments.

microbiology↗

bioRxiv2026

Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

A central challenge in developing visual cortical prostheses is to determine how visual stimuli should be transformed into effective patterns of cortical stimulation. Although advances in stimulation technologies, including optogenetics, provide increasingly precise control over cortical activity, it remains unclear whether artificially evoked activity can reproduce the information content of naturally evoked visual representations. Here we establish a quantitative framework for evaluating visual encoding strategies by decoding cortical responses evoked by natural vision and patterned optogenetic stimulation. We developed a novel dual-modal paradigm in awake mice to bridge the gap between endogenous photostimulation and artificial network driving. By co-expressing the high-performance calcium indicator GCaMP6s and the red-shifted, ultra-sensitive opsin rsChRmine-oScarlet in the primary visual cortex (V1), we successfully translated dynamic natural movie frames into patterned, spatiotemporal optogenetic stimulation. Quantitative comparisons of macro-scale dynamics demonstrated that this patterned optogenetic injection evokes cortical states highly comparable and representationally aligned with those driven by actual visual photostimulation. To systematically evaluate the fidelity of these responses, we developed STAR, a deep learning model featuring spatial and temporal attention mechanisms, and successfully reconstructed the frames of natural movies from V1 signals under both experimental modalities. Collectively, our results demonstrate that complex sensory information can be both naturally encoded and synthetically injected into V1 circuits with high decoding fidelity. This work provides an empirical and computational proof-of-concept for intelligent, closed-loop biomimetic encoders, establishing a robust framework for next-generation cortical visual neuroprostheses and bidirectional brain-machine interfaces.

neuroscience↗

bioRxiv2026

Structural and biophysical insights into the unique RNase YicC

RNA cleavage and processing are highly conserved regulatory mechanisms across bacteria. We recently discovered a novel family of RNases called YicC, conserved across all bacteria but unrelated to known RNase families. The cryo-EM structure of RNA bound to Escherichia coli YicC endonuclease suggested a clamshell-like ribonuclease mechanism for cleavage, although its exact mechanism and function remain elusive. Here, we report new cryo-EM structures that provide snapshots of the closing of the complex and also capture a surprising dimeric-RNA:protein complex. We further characterize the RNA cleavage targets in solution using nuclear magnetic resonance (NMR) spectroscopy, and use all-atom molecular dynamics (MD) simulations to study Mg2+ binding. Our findings suggest that the YicC family can bind RNA hairpin structures and dimeric conformations with appropriate sequence and structural constraints, with cleavage driven strongly by Mg2+ ion localization. This study therefore provides overall insight into the novel cleavage mechanism of the highly conserved family of YicC-like endoribonucleases.

biochemistry↗

bioRxiv2026

Cyanophage CP12 Rewires Host Carbon Regulation through Interface Remodeling and Redox Buffering

Picocyanobacteria drive ocean carbon fixation, and cyanophages reshape host metabolism during infection. In cyanobacteria, the intrinsically disorder Calvin cycle protein 12 (CP12) assembles glyceraldehyde-3-phosphate dehydrogenase (GAP2) and phosphoribulokinase (PRK) into the inhibitory dark complex, yet how phage CP12 homologs modulate redox-sensitive partners remains unclear. Here, we examined viral CP12 across sequence, structure, and post-translational modification (PTM) complexities to resolve the mechanistic remodeling of dark-complex assembly and regulation. Protein-family analysis of CP12 homologs across diverse lineages showed that viral CP12 preserves interface-dominated positions while shifting partner-facing chemistry toward charged and geometry-modulating features. Matched molecular dynamics simulations (MD) of Prochlorococcus MED4 and cyanophage P-HM2 showed that phage CP12 preserves assembly while strengthening PRK-facing contacts and reducing GAP2-facing interface burial. MED4 redox proteomics identified coordinated cysteine oxidation across CP12 and GAP2 under light disturbance, guiding MD to explore thiol-PTM states. Conformational divergence increased with PTM load and localized mainly to GAP2 modifications. Thiol PTM at GAP2 imposed the largest CP12 binding-energy cost, which P-HM2 CP12 buffered, yielding smaller comparative binding-energy penalties than host CP12. These findings link sequence-driven chemistry to interface dynamics and redox PTM responsiveness to light, defining phage CP12 as a regulatory mimetic that may retune host carbon regulation during infection.

microbiology↗

bioRxiv2026

Catalytic and inhibitory architecture of comammox ammonia monooxygenase

Complete ammonia oxidizers (comammox) are widespread nitrifiers that can dominate ammonia oxidation in diverse environments by efficiently converting ammonia to nitrate within a single cell, yet the molecular basis distinguishing their ammonia monooxygenase (AMO) from those of canonical bacterial AMO remains unresolved. Here we report cryo-electron microscopy (cryo-EM) structures of AMO from the comammox Nitrospira inopinata (NiAMO) in inhibitor-free and allylthiourea (ATU)-bound states at 2.47 and 2.68 angstrom, respectively. NiAMO displays distinctive auxiliary-subunit organization, copper-site configuration and hydrophobic-channel architecture. Integrative molecular dynamics (MD) and quantum mechanics/molecular mechanics (QM/MM) calculations support a methyl-plastoquinol (methyl-PQH2)-coupled, CuD-centric catalytic model, with CuC potentially facilitating quinone redox cycling. N. inopinata exhibited broad susceptibility to several known nitrification inhibitors, and ATU-bound NiAMO structure localized the inhibitor to the CuC-CuD region, accompanied by constriction of the hydrophobic channel, which is consistent with the competitive role of ATU demonstrated in recovery assays. Multi-omics analyses further revealed an energy-limited stress response to ATU, including induction of urea transport and utilization systems. Collectively, these findings define a methyl-PQ-linked catalytic and inhibitor-responsive architecture of comammox AMO and establish a mechanistic framework for lineage-aware management of nitrification in natural and engineered ecosystems.

biophysics↗

bioRxiv2026

Tumor control of lysosomal acidification promotes lipoprotein assimilationand ferroptosis resistance

Lysosomes are acidic organelles that fuel cancer progression by facilitating nutrient acquisition and metabolic adaptation, yet the determinants through which cancer cells sustain specialized lysosomal functions are not fully delineated. Notably, assimilation of dietary antioxidants within lipoproteins, a lysosome-dependent process, protects tumors from ferroptosis, an oxidative form of cell death, raising the possibility that tumors evolve mechanisms to enhance this process. Here, we applied genetic screens to identify regulators of lysosome-dependent lipoprotein assimilation and ferroptosis resistance and identified ZNF217, a frequently amplified transcriptional regulator in human cancers, as a driver of tumor lysosomal function and ferroptosis resistance. ZNF217 promoted lipoprotein assimilation through transcriptional maintenance of RAB11FIP4, an endolysosomal protein. Loss of either ZNF217 or RAB11FIP4 impaired lysosomal acidification across multiple cancer types, leading to defective lipoprotein assimilation, increased lipid peroxidation, ferroptosis sensitivity, and impaired tumor growth. Mechanistically, RAB11FIP4 boosts lysosomal acidity through maintenance of RAB7A activity. Finally, disruption of ZNF217 in breast cancer cell lines and patient-derived organoids, a tumor context linked to ZNF217 expression, reduced lysosomal acidity and impaired cancer growth through increased ferroptosis sensitivity. Together, we identify transcriptional regulation of lysosomal acidification as a key metabolic adaptation that enables extracellular antioxidant acquisition and tumor progression.

cancer biology↗

bioRxiv2026

Molecular Basis of High-light Adaptation in Cyanobacteria and Cyanophages through the D1/D2 subunits of Photosystem II

High-light (HL) stress imposes substantial pressure on oxygenic photosynthesis by promoting the formation of reactive oxygen species (ROS) and photodamage in Photosystem II (PSII), particularly within its reaction-center core subunits D1 and D2. Prochlorococcus and Synechococcus, along with their cyanophages, dominate oligotrophic oceans and experience persistent HL exposure, yet the molecular basis of PSII adaptation in these systems remains poorly understood. In this manuscript, we integrate large-scale phylogenetic analysis with residue-level sequence comparison and AlphaFold3-based structural prediction to investigate D1/D2 across Prochlorococcus ecotypes, Synechococcus, and their associated cyanophages. Prochlorococcus species are known to form ecotypes based on light conditions, and the D1 and D2 phylogenies showed consistent organization across our phylogenetic trees. Synechococcus does not fall into the same light-based ecotypes, but we found that D1 and D2 isoforms still form meaningful clusters for these species. Cyanophage-encoded D1 and D2 sequences did not form separate viral clades, but instead were embedded within host-associated diversity and showed closer affinity to HL-adapted Prochlorococcus than to low-light-adapted (LL) lineages. Mapping ecotype- and phage-associated substitutions onto predicted D1/D2 structures, with reference to experimental PSII structures, suggested that some LL-to-HL variants in Prochlorococcus may enhance resistance to ROS-associated damage. Some LL-to-HL substitutions increase methionine and cysteine enrichment near redox-active cofactors, potentially improving redox buffering and ROS scavenging. In contrast, others may favor more efficient electron transfer, reduce charge recombination, and thereby limit ROS production. These results support a model in which PSII adaptation in cyanobacteria is shaped by fine-scale protein-level tuning linked to ecological diversification and cyanophage-host coevolution, with viral-host interactions contributing to the evolutionary optimization of oxygenic photosynthesis under HL stress.

evolutionary biology↗

bioRxiv2026

Visibly Transparent, Near-Infrared Absorbing Nanofluids Enable High-Efficiency and Safe Laser Lithotripsy

Laser lithotripsy (LL) is the gold standard for urinary stone management yet maximizing ablation efficiency while maintaining procedural safety remains clinically challenging. Here, we present a visibly transparent, near-infrared (NIR)-absorbing ITO@SiO2 nanofluid irrigation strategy that significantly enhances LL efficiency without compromising endoscopic visibility. By spectrally matching the absorption profile of ITO@SiO2 with the clinical Holmium:YAG laser wavelength, ablation efficiency improved by >200% in the bench-top spot treatments and >100% in the hydrogel kidney model. Mechanistic investigations revealed that the enhanced optical absorption of the nanofluid modifies bubble dynamics and synergistically amplifies photothermal/microexplosion effects and cavitation damage. Importantly, both in-vitro hydrogel and in-vivo porcine kidney models demonstrated a substantial thermal safety margin (maximum temperatures <35 {degrees}C) and excellent acute biocompatibility, with no evidence of thermal tissue injury. Integrating seamlessly into established clinical workflows without requiring stone pretreatment, this strategy offers a highly translatable, safe, and efficient platform for next-generation endoscopic lithotripsy.

bioengineering↗

bioRxiv2026

CD96-mediated internalisation of ligand CD155 as a novel mechanism for immune regulation

CD96 is a member of the immunoglobulin superfamily including TIGIT and CD226 that bind to a shared ligand, CD155. This family of co-receptors and its ligands are dysregulated in various autoimmune conditions and cancers, highlighting therapeutic potential. While TIGIT and CD226 are recognised co-inhibitory and co-stimulatory receptors respectively, the function of CD96 remains incompletely defined. Here, we assessed CD96-CD155 interaction and downstream trafficking to define a novel CD96 mechanism of action. Using primary human T cells and engineered cell models, we demonstrate that CD96 mediates uptake and internalisation of both soluble and cell-associated CD155. CRISPR-Cas9-mediated receptor knockout in primary human T cells revealed that CD155 uptake was uniquely dependent on CD96, but not TIGIT or CD226, identifying CD96 as the dominant mediator of CD155 internalisation in human T cells. This uptake process was dependent on active receptor cycling, which was partially facilitated by the CD96 cytoplasmic domain. Furthermore, CD96 variant 2 exhibited enhanced ligand binding and uptake efficiency compared with variant 1. Mechanistically, internalised CD155 trafficked to lysosomal compartments and associated with autophagy-related proteins, consistent with degradative processing. These findings reveal a previously unrecognised mechanism by which CD96 may regulate ligand availability through ligand internalisation and trafficking, with potential implications for T cell function and immune regulation. This process may promote changes in the immunoregulatory balance and could inform new targeted therapeutic development.

immunology↗

bioRxiv2026

Nmur1 and Cckar fail to support functional genetic access in adult dopamine neurons and challenge GPCR atlas assignments

Apuschkin et al. (2024) proposed a GPCR-based transcriptomic atlas for midbrain dopamine (DA) neuron subpopulations, including candidates such as Nmur1, Cckar, and Ffar4. To guide genetic targeting, these markers must reflect functional expression in adult DA neurons. Using in situ hybridization, Cre-dependent reporter lines, and both intracranial and systemic viral approaches, we find no evidence of adult Nmur1-mediated recombination in DA neurons, while Cckar-driven recombination is consistent with developmental expression only. Notably, Ffar4 expression overlaps extensively with Ntsr1 midbrain populations, indicating that it does not define a distinct DA neuron class. Furthermore, analysis of independent spatial transcriptomic datasets together with our MERFISH data shows that many proposed GPCR markers are not detectably expressed in adult DA neurons. These findings demonstrate that transcriptomic enrichment does not always yield reliable adult markers and highlight the need for functional validation prior to use in circuit targeting.

neuroscience↗

bioRxiv2026

Robust Inference of Individualized Treatment Effect in Mendelian Randomization

Mendelian randomization (MR), leveraging genetic variants as instrumental variables (IVs), is widely used to draw causal conclusions in the presence of unmeasured confounding, but most MR analyses focus on average treatment effects and rely on strong assumptions. For precision medicine, the primary target is instead the individualized treatment effect (ITE); yet in MR, such effects are not point-identified under core IV assumptions, and valid inference for identifiable bounds of the ITEs is particularly challenging. In this work, we propose a robust partial identification inference framework for the identifiable bounds of the ITEs under MR allowing multiple IVs. Under minimal causal assumptions, we derive a sharp inference procedure for the bounds of ITE by adopting a multiplier bootstrap procedure with data-adaptive bootstrap distribution shifting and heterogeneous variance adjustment. In theory, we prove that the proposed method achieves nominal coverage and asymptotic sharpness. Further, we extend the procedure to tolerate possible invalid IVs under a minimal proportion rule assumption by aggregating over plausible IV subsets while preserving coverage. Simulation studies demonstrate that the proposed methods attain nominal coverage and substantially shorter intervals than existing procedures. We illustrate the framework using data from the Alzheimers Disease Neuroimaging Initiative to assess heterogeneous causal effects of TREM2 expression on Alzheimers disease risk across education-defined subgroups.

genetics↗

bioRxiv2026

A data-driven redefinition of global biodiversity hotspots

The 36 global biodiversity hotspots harbor a disproportionate share of the worlds endemic species, making their conservation critical for planetary health. Traditionally hotspots were defined as ecoregions with [≥]1,500 endemic vascular plant species and >70% natural habitat loss; this relied heavily on expert judgment, with subjective assessments of endemism and habitat loss applied. Challenges in defining endemism, quantifying habitat loss, and the global unevenness in available vascular plant data have hindered hotspot identification over the past decades. Here, we built a global dataset of 150,487 rare vascular plants, identified from 88.1% of the worlds known vascular species, and recognize hotspots based on their richness using three complementary conservation targets and algorithms. We then quantified natural habitat loss and habitat fragmentation using high-resolution remote sensing data and assessed the diversity and distribution of terrestrial vertebrates within these newly identified hotspots. Our data-driven method recovered all the 36 established global biodiversity hotspots, revised 17, and identified 11 new hotspots spanning diverse ecosystems across six continents. These 47 hotspots cover 26.63% of global land area, yet contain 83.8% of rare vascular plants, 92.4% of mammals, 96.1% of birds, 87.8% of reptiles, and 95.0% of amphibians. Collectively, they encompass >89% of terrestrial vertebrates classified as IUCN threatened species. Only 10 hotspots have undergone [≥]70% habitat loss, and the lack of a consistent relationship with habitat fragmentation suggests that this criterion is not globally applicable. Effectively protecting [~]27% of Earths land could theoretically safeguard >89.8% of threatened terrestrial species and >67% of threatened terrestrial species hotspot area, assuming effective protection of the identified biodiversity hotspots. Targeted conservation efforts within these global biodiversity hotspots can meet the established biodiversity targets of the Kunming-Montreal Global Biodiversity Framework as well as post-2030 biodiversity targets. Most importantly, our framework enables conservation scientists to iteratively identify and update global biodiversity hotspots in step with growing global biodiversity data.

ecology↗

bioRxiv2026

Behavior-Driven Marine Larval Dispersal and Settlement with AI Agent-Based Modeling

Larval dispersal models are central to mapping and predicting ichthyoplankton dynamics in the ocean, yet despite decades of refinement they remain fundamentally limited by their ability to represent adaptive behaviors, relying instead on static trait parameterizations. This deficiency constrains our capacity to design effective restoration and mitigation strategies in an increasingly stressed ocean. SWARM (Simulating Waterborne Agent Routes for Marine connectivity) overcomes this barrier by integrating Large Language Model (LLM)-based behavioral agents with a standard biophysical model to simulate active decision-making during the pelagic larval stage. In both idealized and realistic conditions focusing on Red Snapper larvae in the Gulf of Mexico, agents develop adaptive behaviors that improve settlement and generate explainable vertical distribution patterns. SWARM demonstrates that LLMs can overcome long-standing limitations in dispersal modelling by explicitly representing behavioral drivers of movement, opening new pathways for predicting connectivity and designing effective marine-ecosystem restoration.

ecology↗

bioRxiv2026

SpaceExpander: Automated Drafting and Evaluation of Markush Claims for Chemical Space Expansion

Drafting Markush claims for chemical patents remains difficult because manual claim writing is slow, error prone, and often fails to capture related chemical space in a systematic manner. We developed SpaceExpander, a computational method that converts disclosed compounds into generalized Markush claims by extracting core scaffolds, defining variable positions, decomposing complex substituents, and expanding substituent space through fragment matching. We evaluated the method on 24 publicly available chemical patents and compared its performance with IntelliPatent. SpaceExpander achieved a mean atom level scaffold accuracy of 0.92 and exactly recovered the reference scaffold in 19 of 24 patents. By contrast, IntelliPatent could process only 2 patents from the same set, indicating more limited applicability to structurally diverse cases. We further examined practical claim coverage in a case study based on the Osimertinib patent. Using representative disclosed compounds as input, SpaceExpander drafted a Markush claim that covered 5 of 7 additional approved third-generation EGFR inhibitors beyond Osimertinib. These results show that SpaceExpander is a validated method for automated Markush claim drafting and chemical space expansion.

bioinformatics↗

bioRxiv2026

Structural and biochemical characterization of a novel inhibitor of NMNAT1, the gatekeeper of nuclear NAD+ biosynthesis

Nicotinamide adenine dinucleotide (NAD+) is crucial for cellular functions including DNA repair and metabolism. Nicotinamide mononucleotide adenylyltransferase (NMNAT) enzymes catalyze the final step of NAD+ synthesis from NMN and ATP. There are three NMNAT isoforms: NMNAT1, NMNAT2, and NMNAT3, located in the nucleus, cytoplasm, and mitochondria, respectively. Nuclear NAD+ promotes disease progression in NAD+-dependent cancers, and it is hypothesized that targeting NMNAT1 with small-molecule inhibitors could be an effective therapeutic strategy. Here, we identify an NMNAT1 inhibitor from a bioactive compound screen and report its effects on NAD+ levels and the viability of NMNAT1-dependent cancer cell lines. The compound AMI-1 is a known inhibitor of Protein Arginine N-Methyltransferase 1, and we find that it also inhibits NMNAT1 with similar potency. Additionally, we determined a cryo-EM structure of NMNAT1 bound to AMI-1 and revealed its mechanism of inhibition. This provides proof of principle for inhibiting NMNAT1 to target NAD+ metabolism in dependent cancers, while also highlighting that caution is warranted when interpreting studies using AMI-1 as a PRMT1 inhibitor, given its effect on NAD+ through NMNAT1. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=64 SRC="FIGDIR/small/716846v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@139e792org.highwire.dtl.DTLVardef@923869org.highwire.dtl.DTLVardef@1b5aa1borg.highwire.dtl.DTLVardef@1b2d797_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗