Biology subjects

Xing, X.

Publications and source records attributed to Xing, X..

At least 19 recordsLinked to original sources

bioRxiv2026

Improved 1H NMR and ATR-FTIR approaches for structural characterization of high-G-block and high-M-block alginic acids isolated from sugar kelp by a two-step gelation method

Two low-molecular-weight alginic acid fractions, G-block-rich SKP-G1 and M-block-rich SKP-G2, were sequentially isolated from a hot-water extract of sugar kelp (Saccharina latissima) alcohol-insoluble residue by acetic acid-induced and subsequent freeze-thaw-induced gelation. High-field (700 MHz) 2D 1H-1H COSY and TOCSY spectroscopy enabled comprehensive cross-peak assignments for selected alginate diad and triad sequences, supporting interpretation of 1D 1H NMR spectra. Sequence frequencies were combined with previously established inequalities [1] to calculate constrained frequency ranges for homoblocks beyond the triad level. For selected homoblock lengths up to a degree of polymerization of 18, comparison of the experimentally derived frequency ranges with frequencies predicted by chain-growth statistical models ruled out the Bernoulli model for both fractions and the first-order Markov model for SKP-G1. Applying the recently developed logarithmic cosine transformation (LCT) algorithm [2] to first- and second-derivative ATR-FTIR spectra enhanced the visualization of subtle spectral features and produced distinct fingerprints for the two fractions. As a proof of concept, LCT-transformed derivative ATR-FTIR spectra yielded distinct score distributions for the fractions in principal component analysis, suggesting their potential for chemometric differentiation of alginates with different block structures. In conclusion, extending 1H NMR-based sequence analysis to calculate constrained frequency ranges for homoblock polyads beyond the triad level, together with LCT-transformed derivative ATR-FTIR fingerprinting, expands the analytical toolkit for alginate block structure characterization.

biochemistry↗

bioRxiv2026

Mapping the mammalian dark metabolome by in vivo isotope tracing

Despite decades of biochemical study, a comprehensive map of the mammalian metabolome remains elusive. Mass spectrometry-based metabolomics detects thousands of small molecule-associated signals in mammalian tissues, but it is currently unclear how many of these reflect products of endogenous metabolism. Here, we leverage systematic in vivo isotope tracing to infer the biosynthetic origins of unidentified metabolites. We administered 26 different isotopically labelled nutrients to mice, measured circulating and tissue metabolite labelling by mass spectrometry, and developed a statistical framework to infer the number of carbon atoms incorporated from each of these precursors into more than 4,000 putative metabolites. We show this information can be harnessed for biosynthesis-aware structure elucidation using a multimodal AI model that co-embeds isotopic labelling patterns with chemical structures. This approach revealed several previously unrecognized families of mammalian metabolites, including cysteine-derived alkylthiazolidines, dithioacetal mercapturic acid derivatives, short-chain N-acyltaurines, acylglycyltaurines, and N-oxidized taurines. It further uncovered a family of mevalonate-derived isoprenoid metabolites that includes 2,3-dihydrofarnesoic acid, which is markedly depleted in both mouse and human aging. Age-related depletion of these isoprenoids is driven by impaired coenzyme A synthesis. Our work establishes the biosynthetic precursors for thousands of unidentified metabolites and reveals multiple previously unrecognized branches of mammalian metabolism.

biochemistry↗

bioRxiv2026

Neural Arming Niche in Tumor-Draining Lymph Nodes Programs CD8⁺T Cell Cytotoxicity via GZMB Norepinephrinylation

Lymph nodes are densely innervated neuro-immune hubs where naive T cells are primed and "armed" with cytotoxic machinery, yet how local neural cues in tumor-draining lymph nodes (tdLNs) set CD8 T cell effector reserves remains unclear. Here we show that tdLN-local sympathetic norepinephrine (NE) instructs CD8 T cell cytotoxic capacity by stabilizing the granzyme B (GZMB) pool through covalent norepinephrinylation. Exercise, used as a physiological perturbation, increases GZMB selectively in tdLN and tumor CD8 T cells without altering T cell abundance or cytokine output; tdLN sympathectomy abolishes these effects and reduces tdLN NE enrichment. Mechanistically, NE enters CD8 T cells and norepinephrinylates GZMB at Gln43, limiting UHRF1-mediated ubiquitination and proteasomal degradation. Genetic attenuation of norepinephrinylation destabilizes GZMB, impairs cytotoxicity, and accelerates tumor growth. Brief ex vivo NE conditioning increases GZMB reserves and improves adoptive tumor control.

cancer biology↗

bioRxiv2026

Fully T2T pedigree assemblies reveal genetic stability and epigenetic plasticity of human centromeres across inheritance and cell-fate transitions

Centromeres are essential chromosome components yet remain poorly understood due to their highly repetitive sequence architecture. Using fully-phased telomere-to-telomere diploid assemblies from a three-generation pedigree integrated with long-read epigenomes from matched peripheral blood mononuclear cells, induced pluripotent stem cells, and neural progenitor cells, we generate allele-resolved single basepair resolution maps of centromere genetic and epigenetic dynamics across inheritance, reprogramming, and differentiation. We show that centromeric dip regions (CDRs), which define the functional core of centromeres, are positionally stable across generations and cell-fate transitions. In contrast, CDR epigenetic architecture is highly dynamic. Reprogramming markedly attenuates CDR hypomethylation, which is partially restored during differentiation in parallel with global hypomethylation of active alpha-satellite arrays and coordinated changes in nucleosome organization and protein occupancy. Centromeric remodeling is insulated from X-chromosome status, including Xa, Xi, and erosion. Finally, de novo mutations arising during reprogramming are enriched in centromeric regions but depleted within functional centromeric cores.

genomics↗

bioRxiv2025

A Retinoic Acid Autoregulatory Loop Governing Prefrontal-Motor Arealization

The frontal lobe comprises the prefrontal association cortex (PFC), which supports complex cognition and goal-directed behavior, and the motor cortex (MC), which executes movement. A hallmark of primate brain evolution is PFC expansion accompanied by a posterior displacement of the MC. Retinoic acid (RA) signaling has emerged as a key regulator of PFC specification and expansion. However, the mechanisms that spatially confine RA signaling within the developing PFC, and the downstream RA-responsive gene networks, remain poorly understood. Here we defined an RA-associated gene regulatory network (RA-GRN) in the developing human PFC and identified MEIS2, which encodes a transcription factor linked to intellectual disability and autism spectrum disorder (ASD), as its key hub of this network. Conditional deletion of Meis2 in postmitotic cortical excitatory neurons in mice results in a partial respecification of prospective prefrontal association territories toward motor-like molecular and connectional features, highlighting a critical role of postmitotic neurons in establishing and maintaining cortical areal identities. Concomitant with Meis2 loss, the population of excitatory neurons expressing the RA-synthesizing enzyme ALDH1A3, and consequently RA signaling itself, is markedly reduced in the developing medial prefrontal cortex (mPFC). These findings revealed a conserved autoregulatory loop: RA [->] MEIS2 [->] ALDH1A3 [->] RA that reinforces a PFC-enriched RA gradient and organizes the MC-PFC axis. Together, our findings reveal a postmitotic mechanism by which specific features of neuronal identity reinforce RA signaling to define key features of prefrontal and motor cortical territories, linking a classic morphogen to transcriptional identity, neural circuit formation and function, and potentially to psychiatric disorders.

neuroscience↗

bioRxiv2025

PRSNet-2: End-to-end genotype-to-phenotype prediction via hierarchical graph neural networks

The emergence of large-scale biobanks has opened unprecedented opportunities for the development of data-driven approaches, especially deep learning-based methods, for genotype-to-phenotype (G2P) prediction. However, designing an end-to-end framework capable of directly leveraging extremely high-dimensional genotypic data while simultaneously mitigating overfitting and ensuring robust prediction remains a significant challenge. In this study, we introduce PRSNet-2, an interpretable end-to-end deep learning framework designed to predict complex phenotypes directly from large-scale genotypic data. PRSNet-2 proposes a novel hierarchical graph neural network (GNN) architecture, which first employs a multi-kernel aggregator to map high-dimensional genotypic features to gene-level representations. Next, it models gene-gene interactions through message-passing operations and uses an attention-based readout module to generate interpretable phenotypic predictions. We further introduce significance-guided regularization strategies to boost models generalizability based on prior genetic associations. Extensive empirical evaluations across multiple complex traits and diseases demonstrate that PRSNet-2 consistently outperforms a variety of baseline methods and exhibits superior capabilities in overcoming overfitting, even when modeling around half a million single nucleotide polymorphisms (SNPs). Moreover, PRSNet-2 is shown to be easily extendable to integrate multiple genome-wide association study (GWAS) datasets into a single model, thereby enhancing predictive performance for both single-phenotype and multi-phenotype prediction tasks. The inherent interpretability of PRSNet-2 further facilitates the identification of disease-relevant genes, functional gene modules, and potential therapeutic targets. In summary, PRSNet-2 offers a powerful, versatile tool for both genetic risk stratification and the discovery of biological insights.

genetics↗

bioRxiv2025

2D HSQC-derived "dark forest" image with enhanced local resolution via first derivative processing-logarithmic cosine transformation (FDP-LCT): Demonstration on per-O-ethylated kappa- and iota-carrageenans

Solution-state two-dimensional (2D) 1H-13C HSQC NMR is a powerful tool for polysaccharide structure elucidation but often suffers from limited sensitivity and broad peaks due to the low natural abundance of 13C and poor digital resolution of the indirect dimension, respectively, as well as the typically low concentration and high viscosity of polysaccharide solutions. It is therefore pivotal to improve the resolution of 2D 1H-13C HSQC spectra for accurate peak picking and assignment, particularly in the indirect 13C dimension. In this study, we developed an algorithm that combines first derivative processing with a novel logarithmic cosine transformation (FDP-LCT) to convert 2D 1H-13C HSQC spectra into local-resolution-enhanced images resembling a dark forest of straight, densely standing trees. These images revealed sharpened spectral features and enabled extraction of precise 1H and 13C chemical shifts, as demonstrated using per-O-ethylated kappa-and iota-carrageenans, two sulfated galactans differing only by a single substitution at the O-2 position of anhydrogalactose. In conclusion, this approach provides an effective post-acquisition strategy for enhancing digital resolution in 2D HSQC spectra and improving the structural analysis of closely related complex polysaccharides. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/689839v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@c85f3dorg.highwire.dtl.DTLVardef@e4ded2org.highwire.dtl.DTLVardef@1e0b7b5org.highwire.dtl.DTLVardef@3cebcf_HPS_FORMAT_FIGEXP M_FIG C_FIG Highlights- An algorithm combining first derivative processing and logarithmic cosine transformation was developed for 2D HSQC. - The algorithm was used to boost the local resolution of 2D HSQC spectra of the per-O-ethylated carrageenans. - Structures were distinguished by complete interpretation of 2D NMR spectra. - A post-processing workflow was developed to facilitate chemical shift extraction from sharpened HSQC.

biochemistry↗

bioRxiv2025

SpaTranslator: A deep generative framework for universal spatial multi-omics cross-modality translation

Recent advances in spatial omics technologies have enabled the simultaneous analysis of multiple molecular patterns in tissue sections, offering unprecedented insights into cellular microenvironments. However, the high cost of measurements and the sparsity of data restrict the availability of paired spatial multi-omics datasets. Here, we present SpaTranslator, a deep generative framework that integrates graph neural networks with an adversarial variational generative model to fully capture spatial characteristics and enable effective cross-modality translation of spatial omics data, enabling simulation of paired spatial multi-omics data from single-omics measurements. Extensive experiments demonstrate that SpaTranslator consistently outperforms baseline methods in both clustering accuracy and biological coherence across various real-world scenarios, including spatial transcriptomics-epigenomics and spatial transcriptomics-proteomics translation tasks. Furthermore, SpaTranslator provides biologically meaningful insights through marker genes and proteins recovery, motif enrichment analysis, and gene regulation inference. Our work offers an effective and adaptable solution for spatial multi-omics cross-modality translation, supporting a broad range of biological and biomedical research.

bioinformatics↗

bioRxiv2025

Comprehensive Transcriptomic and Epigenomic Insights into Environmental Toxicant Exposures: The TaRGET II Resource

Environmental exposures to toxic chemicals can profoundly alter the transcriptome and epigenome in both humans and animals, contributing to disease development across the lifespan. To elucidate how early-life exposure to toxicants exerts such persistent effects, the Toxicant Exposures and Responses by Genomic and Epigenomic Regulators of Transcription II (TaRGET II) Consortium generated a landmark resource comprising 2,564 epigenomes and 1,043 transcriptomes from longitudinal studies in mice. All data are publicly available through the TaRGET II data portal and the WashU Epigenome Browser. This resource from target (liver, brain, lung, heart) and surrogate (blood) tissues at weaning (3 weeks) and two adult time-points (5 and 10 months) characterized the molecular response to arsenic (As), lead (Pb), bisphenol-A (BPA), di-2-ethylhexyl phthalate(DEHP), tributyltin (TBT), tetrachlorodibenzo-p-dioxin (TCDD), and particulate matter with a diameter of <2.5m (PM2.5). The findings revealed persistent, toxicant-specific, sex-dependent epigenomic and transcriptomic perturbations, resulting in disrupted expression of 14,908 genes, altered chromatin accessibility at 87,409 regulatory elements, DNA methylation changes at 113,186 genomic regions, and chromatin state switching of histone modifications. The resulting high-resolution map of how environmental exposures reprogram the epigenome and transcriptome is broadly accessible via ToxiTaRGET database, offering unparalleled opportunities for the scientific community to investigate the molecular underpinnings of environmental toxicant exposures and their contributions to disease pathogenesis.

pharmacology and toxicology↗

bioRxiv2025

Palmitoylation-dependent activation of NADK promotes NADP+ synthesis and tumorigenesis

NAD kinase (NADK) is the sole cytosolic enzyme that catalyzes the synthesis of nicotinamide adenine dinucleotide phosphate (NADP+) from NAD+. NADP+ is essential for anabolic reactions and redox balance. Here, we show that palmitate facilitates NADP+ synthesis by enhancing NADK palmitoylation and activity. NADK is post-translationally S-palmitoylated on three cysteine residues (Cys22, Cys23, and Cys26) within the amino-terminal domain by the protein-acyl transferase ZDHHC5, which stimulates NADK activity. Fatty acids activate NADK by enhancing its palmitoylation and relief of an autoinhibitory function inherent to its amino terminus. Furthermore, ZDHHC5-/- mice showed defect in NADK palmitoylation and NADP+ production. Clinically, elevated expression of ZDHHC5 in pancreatic cancer patients was associated with increased NADK palmitoylation and correlated with poor prognoses for patients. These data reveal that fatty-acid and ZDHHC5-mediated palmitoylation has a critical role in NADP+ synthesis and cancers.

cancer biology↗

bioRxiv2025

TWEAK Signaling Drives the Transition from Psoriasis to Atopic Dermatitis-like Inflammation in Paradoxical Skin Reactions

Targeted biologics have significantly advanced the treatment of inflammatory skin diseases such as psoriasis; however, some patients paradoxically develop eczematous skin reactions during or after anti-TNF, IL-17, or IL-23 therapy. Although these paradoxical reactions resemble atopic dermatitis clinically and histologically, the molecular mechanisms that drive their development are not fully understood. Here, we generated high-resolution cellular and spatial maps of healthy skin, psoriasis, atopic dermatitis, and paradoxical reactions using single-cell RNA sequencing, spatial transcriptomics, immunohistochemistry, and in vitro assays. In paradoxical reactions, we identified a distinct transcriptional landscape characterized by myeloid and T-cell expansion and an altered keratinocyte phenotype shaped by TWEAK signaling. Mechanistically, we showed that TWEAK synergizes with IL-13 to drive the Th2/type I interferon-polarized epithelial program. Notably, anti-TNF therapy induced TWEAK gene expression in myeloid cells, suggesting a compensatory inflammatory circuit. Together, these findings identify the TWEAK-IL-13 axis as a central driver of paradoxical skin reactions and provide a mechanistic framework for how cytokine blockade may rewire cutaneous immune responses. One Sentence Summary The TWEAK-IL-13 signaling axis is a key driver of immune reprogramming underlying paradoxical skin reactions.

immunology↗

bioRxiv2025

Spatial metabolic gradients in the liver and small intestine

Mammalian organs are composed of cells, whose properties differ depending upon their spatial location. Gene expression in liver varies between periportal and pericentral hepatocytes1-3, and in intestine from crypts to villus tips4,5. A key element of tissue spatial organization is likely metabolic, but direct assessments of spatial metabolism remain limited. Here we map spatial metabolic gradients in murine liver and intestine. We developed an integrated experimental-computational workflow using MALDI imaging mass spectrometry, isotope tracing, and deep-learning artificial intelligence. Most measured metabolites (> 95%) showed significant spatial concentration gradients in liver lobules and intestinal villi. In the liver, tricarboxylic acid (TCA)-cycle metabolites and their labeling from both glutamine and lactate localized periportally. Energy-stress metabolites including adenosine monophosphate (AMP) also localized periportally, consistent with high periportal energy demand. In intestine, the TCA intermediates malate (tip) and citrate (crypt) showed opposite spatial patterns, which aligned with higher glutamine catabolism in tips and lactate oxidation in crypts based on isotope tracing. Finally, we mapped the fate of the obesogenic dietary sugar fructose. In the intestine, oral fructose was catabolized faster in the villus bottom than the tips. In the liver, fructose-derived carbon accumulated pericentrally as fructose-1-phosphate and triggered pericentral adenosine triphosphate (ATP) depletion. Thus, we both provide foundational knowledge regarding intestine and liver metabolic organization and identify fructose-induced focal derangements in liver metabolism.

biochemistry↗

bioRxiv2025

Adaptive Evolution of Gene Regulatory Networks in Mammalian Neocortical Neurons

Mammals have evolved a plethora of adaptations that have enabled them to thrive in diverse environments. Among the most significant is the emergence of a more complex brain, exemplified by the dramatic transformation of the dorsal cortex from a single layer of excitatory projection neurons (ExNs) in ancestors to a multilayered cerebral neocortex enriched with diverse intratelencephalic (IT) and extratelencephalic (ET) ExN subtypes. These ExNs established specialized projection systems, such as the corticospinal tract and corpus callosum, enhancing brain connectivity and functionality. However, the evolutionary mechanisms underlying these mammalian-specific adaptations remain elusive. By comparing the landscape of gene expression and cis-regulatory elements (CREs) in mouse ExN subtypes and by cross-species examination of mammalian and non-mammalian CREs, we identified mammalian-specific CREs and expression patterns. The mammalian-specific CREs include a subset bound by ZBTB18 that are associated with genes defining IT and ET subtypes and connectivity. Both ZBTB18 and these target genes have previously been implicated in intellectual disability and autism. Deletion of Zbtb18 in mouse ExNs dysregulated target gene expression, reduced molecular diversity, diminished corticospinal and callosal projections, and increased intrahemispheric cortico-cortical association projections to the prefrontal cortex, resembling features of non-mammalian dorsal pallium. Interestingly, ZBTB18 binding motifs are highly enriched in callosally projecting IT-biased CREs, where they show higher conservation specifically in mammals. This study uncovers critical components and mammalian-specific evolutionary adaptations within a regulatory node essential for neocortical ExN identity and connectivity, with implications for neurodevelopmental and neuropsychiatric disorders.

neuroscience↗

bioRxiv2025

A Transcriptomic Atlas of Healthy Human Skin Links Regional Identity to Inflammatory Disease.

Human skin is not a uniform organ but a mosaic of anatomically distinct niches, with each site finely tuned to unique environmental demands and immune pressures. Yet, the molecular determinants that define these regional identities and their relationship to site-specific vulnerability to inflammatory disease remain poorly understood. Here, we generate a high-resolution single-cell atlas of human skin, profiling 274,834 cells from 96 healthy samples across 7 anatomically distinct sites (acral, arm, axilla, back, face, leg and scalp). Our analysis reveals striking region-specific transcriptional and cellular networks, uncovering how local immune-stromal crosstalk governs tissue homeostasis and underpins anatomical susceptibility to distinct inflammatory diseases such as such as systemic lupus erythematosus (SLE), atopic dermatitis (AD), and psoriasis. These findings illuminate the tissue-intrinsic foundations of regional immune identity and provide a blueprint/resource for the development of precision therapies tailored to the distinct immunological microenvironments of specific anatomical skin sites.

systems biology↗

bioRxiv2025

SIMIT-seq: a bead-free, scalable microfluidic platform for single cell mRNA sequencing with ultrahigh cell-indexing rate

SIMIT-seq is a bead-free, scalable microfluidic platform designed for high-efficiency single-cell mRNA sequencing. Conventional microfluidic-based single-cell RNA sequencing platforms rely heavily on barcoded beads and intricate co-encapsulation schemes, often constrained by double Poisson limitations and the complexities of bead synthesis. In contrast, SIMIT-seq eliminates the need for beads entirely by employing a deterministic, orthogonal barcoding strategy within a two-dimensional micro-well array. This platform achieves an impressive single-cell indexing rate of 96.6% without the need for complex microfluidic operations. Here, we describe the design and fabrication of the SIMIT-seq platform, outline its workflow for transcript capture and library preparation, and demonstrate its application in profiling K562 cells. Our results validate both the high fidelity of molecular barcode immobilization and the systems capability to support downstream single-cell mRNA sequencing. SIMIT-seq offers a cost-effective and scalable alternative for single-cell transcriptomics, providing a promising foundation for future single-cell omics applications.

bioinformatics↗

bioRxiv2025

Global distribution of microbial carrageenan foraging pathways reveals widespread latent traits within the genetic dark matter of ruminant intestinal microbiomes

Seaweeds represent a promising source of sustainable, alternative feeds for livestock. Despite their increasing popularity in agriculture, the dietary fate of seaweed polysaccharides, such as carrageenan, is unknown. Here, we applied functional microbiome analyses of ruminant gastrointestinal tract microbiomes to discover catabolic enzymes specific for carrageenan digestion from the red seaweed Mazzaella japonica. M. japonica preferentially increased Bacteroides abundance within the distal gut over the rumen, and bacterial isolates had capacity to use carrageenans as a sole carbon source. Carrageenan-active polysaccharide utilization loci (CarPULs) were identified and recombinant enzymes were characterized to provide insights into pathway specialization of divergent CarPULs. Selective enrichment and metagenomic mining revealed that carrageenan catabolism is widespread among geographically and taxonomically distinct ruminants, suggesting it is a globally distributed latent trait within the order Ruminantia and carried within microbiome as part of the microbial "dark matter". These pathways are structurally distinct from those found in marine bacteria, highlighting a complex and ancient evolutionary history of CarPULs in ruminant microbiomes.

microbiology↗

bioRxiv2025

A versatile cohesion manipulation system reveals CENP-A dysfunction accelerates female reproductive age-related egg aneuploidy.

Female reproductive aging is accompanied by a dramatic rise in the incidence of egg aneuploidy. Premature loss of chromosome cohesion proteins and untimely separation of chromosomes is thought to underly high rates egg aneuploidy during maternal aging. However, because chromosome cohesion loss occurs gradually over female reproductive lifespan and cytoskeletal defects alone can predispose eggs to chromosomal abnormalities, the root causes of exponential rise in egg aneuploidy at advanced reproductive ages remain a mystery. Here, we applied high-resolution live imaging to visualize for the first time cohesion protein dynamics underpinning meiotic chromosome segregation. To discover proteins whose dysfunction accelerates aneuploidies associated with female reproductive aging, we innovated the first experimental system in which chemically induced cohesion reduction rapidly triggers aging-like chromosomal abnormalities in young eggs. By integrating this direct cohesion manipulation system with quantitative high-resolution microscopy and targeted protein degradation tools, we identified the centromeric protein CENP-A as a new factor whose aging-like depletion causes a dramatic rise in premature separation of sister chromatids. Our work illuminates cohesion loss-independent origins of age-related egg aneuploidy and provides new avenues to discover therapeutic targets for extending the female reproductive lifespan.

cell biology↗

bioRxiv2024

Nucleophosmin mutations lead to abnormal, but reversible, nucleoli architecture and aggregate formation - implications for NPM1-targeting therapies in AML

Mutations in the NPM1 gene represent the most common (>30% of patients) genetic alteration in Acute Myeloid Leukaemia (AML) and results in the mis-localisation of the mutated NPM1 protein from a predominantly nucleolar localisation to a predominantly cytoplasmic distribution. Numerous studies of NPM1 mutated AML have focussed on the aberrant cytoplasmic localisation of the mutated protein but efforts to reverse this mis-localisation therapeutically have so far resulted in limited clinical benefit. More recently, attention has shifted towards the nucleus with studies showing that mutant NPM1 binds to specific chromatin regions, where it directly regulates oncogenic gene expression. Here, we use high resolution imaging to demonstrate that Nucleophosmin (NPM1) is critical for maintaining normal nucleoli architecture and specifically the integrity of the nucleoli rim. We report for the first time that NPM1 mutated cell lines and primary samples have aberrant nucleoli architecture and demonstrate that the abnormal nucleoli phenotype is reversible. We also report the novel finding that NPM1 mutated protein forms distinct aggregates in NPM1 mutated cells and characterise these for the first time. This work reveals how nucleolar organisation contributes to the molecular mechanisms underpinning NPM1 driven AML and reveals unexpected novel vulnerabilities to be exploited for therapeutic intervention.

cancer biology↗