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Zhou, X.

Publications and source records attributed to Zhou, X..

At least 343 records · Page 19Linked to original sources

Rolling 2D Bioelectronic film into 1D: a Suturable Long-term Implantable Soft Microfiber

Long-term implantable bioelectronics can efficiently evaluate the function of the nervous system. 1D fiber-shaped devices require small surgical incisions significantly benefiting long-term biocompatibility. We report a strategy of rolling to reduce the dimension of bioelectronic devices from 2D film to 1D microfiber. The soft and stretchable multifunctional microfiber accommodates more than 60-channel longitudinally-distributed electrodes for bio-electric and -mechanical monitoring. It can be sutured into muscle with tiny incision for 8-month bio-electrical monitoring in rats. Importantly, after 13-month implantation, the fibroblast encapsulation around the fiber is negligible. Moreover, it can wander inside a brain under magnetic field. This strategy not only opens up the study of multi-channel and -function soft and stretchable fiber-shaped sensors but offers a platform for minimally-invasive implantable bioelectronics. One-Sentence SummaryThe rolling enables stretchable electrode array along one single microfiber and multimodal long-term in-vivo monitoring.

neuroscience↗

Akkermansia muciniphila identified as key strain to function in pathogen invasion and intestinal stem cell proliferation through Wnt signaling pathway

As the largest mucosal surface, the gut has built a physical, chemical, microbial and immune barrier to protect the body against pathogen invasion. The disturbance of gut microbiota aggravates pathogenic bacteria invasion and gut barrier injury. Fecal microbiota transplantation (FMT) is a promising treatment for microbiome-related disorders, where beneficial strain engraftment is a significant factor influencing FMT outcomes. The aim of this research was to explore the effect of FMT on antibiotic-induced microbiome-disordered (AIMD) model infected with enterotoxigenic Escherichia coli (ETEC). We used piglet, mouse and intestinal organoid models to explore the protective effects and mechanisms of FMT on ETEC infection. The results showed that FMT regulated gut microbiota and enhanced the protection of AIMD piglets against ETEC K88 challenge, as demonstrated by reduced intestinal pathogen colonization and alleviated gut barrier injury. Akkermansia muciniphila (A. muciniphila) and Bacteroides fragilis (B. fragilis) were identified as two strains that may play key roles in FMT. We further investigated the alleviatory effects of these two strains on ETEC infection in AIMD mice model, which revealed that A. muciniphila and B. fragilis relieved ETEC-induced intestinal inflammation by maintaining the proportion of Treg/Th17 cells and epithelial damage by moderately activating the Wnt/{beta}-catenin signaling pathway, while the effect of A. muciniphila was better than B. fragilis. We therefore identified whether A. muciniphila protected against ETEC infection using basal-out and apical-out intestinal organoid models. A. muciniphila did protect the intestinal stem cells and stimulate proliferation and differentiation of intestinal epithelium, and the protective effects of A. muciniphila was reversed by Wnt inhibitor. FMT alleviated ETEC-induced gut barrier injury and intestinal inflammation in AIMD model. A. muciniphila was identified as key strain in FMT to promote proliferation and differentiation of intestinal stem cells by mediating the Wnt/{beta}-catenin signaling pathway.

microbiology↗

SaProt: Protein Language Modeling with Structure-aware Vocabulary

AO_SCPLOWBSTRACTC_SCPLOWLarge-scale protein language models (PLMs), such as the ESM family, have achieved remarkable performance in various downstream tasks related to protein structure and function by undergoing unsupervised training on residue sequences. They have become essential tools for researchers and practitioners in biology. However, a limitation of vanilla PLMs is their lack of explicit consideration for protein structure information, which suggests the potential for further improvement. Motivated by this, we introduce the concept of a "structure-aware vocabulary" that integrates residue tokens with structure tokens. The structure tokens are derived by encoding the 3D structure of proteins using Foldseek. We then propose SaProt, a large-scale general-purpose PLM trained on an extensive dataset comprising approximately 40 million protein sequences and structures. Through extensive evaluation, our SaProt model surpasses well-established and renowned baselines across 10 significant downstream tasks, demonstrating its exceptional capacity and broad applicability. We have made the code1, pre-trained model, and all relevant materials available at https://github.com/westlake-repl/SaProt.

bioinformatics↗

SARS-CoV-2 Omicron BA.2.86: less neutralization evasion compared to XBB sub-variants

The continual emergence and circulation of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have caused a great challenge for the coronavirus disease 2019 (COVID-19) pandemic control. Recently, Omicron BA.2.86 was identified with more than 30 amino acid changes on the spike (S) protein, compared to Omicron BA.2 or XBB.1.5. The immune evasion potential of BA.2.86 is of great concern. In this study, we evaluated the neutralizing activities of sera collected from participants and mice. Participants were divided into five groups according to their vaccination (inactivated vaccine, protein subunit vaccine ZF2001 or ZF2202-A) and infection (Omicron BF.7/BA.5.2) status. ZF2202-A is ZF2001 vaccines next-generation COVID-19 vaccine with updated bivalent Delta-BA.5 RBD-heterodimer immunogen. BALB/c mice were immunized with XBB.1.5 RBD-homodimer, BA.5-BA.2, Delta-XBB.1.5 or BQ.1.1-XBB.1.5 RBD-heterodimers protein vaccine candidates for evaluating the neutralizing responses. We found that Omicron BA.2.86 shows stronger immune evasion than BA.2 due to >30 additional mutations on S protein. Compared to XBB sub-variants, BA.2.86 does not display more resistance to the neutralizing responses induced by ZF2001-vaccination, BF.7/BA.5.2 breakthrough infection or a booster dose of ZF2202-A-vaccination. In addition, the mouse experiment results showed that BQ.1.1-XBB.1.5 RBD-heterodimer and XBB.1.5 RBD-homodimer induced high neutralizing responses against XBB sub-variants and BA.2.86, indicating that next-generation COVID-19 vaccine should be developed to enhance the protection efficacy against the circulating strains in the future.

immunology↗

A genome-scale Opisthokonta tree of life: toward phylogenomic resolution of ancient divergences

AbstractAncient divergences within Opisthokonta--a major lineage that includes organisms in the kingdoms Animalia, Fungi, and their unicellular relatives-- remain contentious, hindering investigations of the evolutionary processes that gave rise to two kingdoms and the repeated emergence of iconic phenotypes like multicellularity. Here, we use genome-scale amounts of data to reconstruct the most taxon-rich Opisthokonta tree of life to date (348 species) and place divergences in geologic time, suggesting a Mesoproterozoic origin ([~] 1.11 billion years ago). By dissecting multiple dimensions of phylogenomic error, such as the influence of taxon sampling and model complexity, we found that deep divergences within Holozoa remain unresolved and suggest Pluriformea is either sister to Ichthyosporea and Filozoa (Pluriformea-sister hypothesis) or is monophyletic to Ichthyosporea, forming the Teretosporea lineage (Teretosporea-sister hypothesis). A combination of information theory and sensitivity analyses revealed that the inferred unicellular Holozoa relationships are largely robust to common sources of analytical error, such as insufficient model complexity, and suggest that previous reports likely suffered from insufficient taxon sampling. Our study presents a robust Opisthokonta phylogenomic framework, highlights the challenges in resolving the relationships of unicellular Holozoa, and paves the way for illuminating ancient evolutionary episodes concerning the origin of two kingdoms.

evolutionary biology↗

High-affinity binding to the SARS-CoV-2 spike trimer by a nanostructured, trivalent protein-DNA synthetic antibody

Multivalency enables nanostructures to bind molecular targets with high affinity. Although IgG antibodies can be generated against a wide range of antigens, their shape and size cannot be tuned to match a given target. DNA nanotechnology provides an attractive approach for designing customized multivalent scaffolds due to the addressability and programmability of the nanostructure shape and size. Here, we use computational simulation to guide the design and synthesis of a DNA nanostructure-based synthetic antibody ("nano-synbody"). The nano-synbody is comprised of a three-helix bundle DNA nanostructure with three identical arms terminating in a mini-binder protein that targets the SARS-CoV-2 spike protein. The structure was designed to match the valence and distance between the three receptor binding domains (RBDs) in the spike trimer, in order to enhance binding through avidity effects. Moreover, the design allowed for the display of one, two, or three protein-displaying arms, thereby systematically probing the effect of multivalency on binding affinity. The binding strength of the nano-synbody increased with the increasing number of arms, yielding 11.2 pM affinity ([~]100-fold enhancement over monovalent binding) for the wild-type spike protein for the three-arm structure. Moreover, the multivalency was able to yield a 95 pM affinity for the Omicron variant, a mutant against which the monovalent protein was ineffective. The nano-synbody could also block infection of a spike protein-bearing pseudovirus, and similarly demonstrated effective inhibition of the Omicron variant when trimerized. The structure of the three-arm nano-synbody bound to the Omicron variant spike trimer was solved by negative-stain transmission electron microscopy reconstruction, and shows the protein-DNA nanostructure with all three arms bound to the RBD domains, confirming the intended trivalent attachment. Finally, nano-synbody binding could be reversed by removing one, two, or three arms in a programmable fashion, via toehold-mediated strand displacement. The ability to tune the size and shape of the nano-synbody, as well as its potential ability to attach (and then remove) two or more different binding ligands, will enable the high-affinity binding of a range of proteins, and pave the way towards their manipulation using DNA-based nano-robotic devices.

bioengineering↗

Shared and divergent transcriptomic regulation in nucleus accumbens D1 and D2 medium spiny neurons by cocaine and morphine

Substance use disorders (SUDs) induce widespread molecular dysregulation in the nucleus accumbens (NAc), a brain region pivotal for coordinating motivation and reward. These molecular changes are thought to support lasting neural and behavioral disturbances that promote drug-seeking in addiction. However, different drug classes exert unique influences on neural circuits, cell types, physiology, and gene expression despite the overlapping symptomatology of SUDs. To better understand common and divergent molecular mechanisms governing SUD pathology, our goal was to survey cell-type-specific restructuring of the NAc transcriptional landscape in after psychostimulant or opioid exposure. We combined fluorescence-activated nuclei sorting and RNA sequencing to profile NAc D1 and D2 medium spiny neurons (MSNs) across cocaine and morphine exposure paradigms, including initial exposure, prolonged withdrawal after repeated exposure, and re-exposure post-withdrawal. Our analyses reveal that D1 MSNs display many convergent transcriptional responses across drug classes during exposure, whereas D2 MSNs manifest mostly divergent responses between cocaine and morphine, with morphine causing more adaptations in this cell type. Utilizing multiscale embedded gene co-expression network analysis (MEGENA), we discerned transcriptional regulatory networks subserving biological functions shared between cocaine and morphine. We observed largely integrative engagement of overlapping gene networks across drug classes in D1 MSNs, but opposite regulation of key D2 networks, highlighting potential therapeutic gene network targets within MSNs. These studies establish a landmark, cell-type-specific atlas of transcriptional regulation induced by cocaine and by morphine that can serve as a foundation for future studies towards mechanistic understanding of SUDs. Our findings, and future work leveraging this dataset, will pave the way for the development of targeted therapeutic interventions, addressing the urgent need for more effective treatments for cocaine use disorder and enhancing the existing strategies for opioid use disorder.

neuroscience↗

Diverse signatures of convergent evolution in cacti-associated yeasts

Many distantly related organisms have convergently evolved traits and lifestyles that enable them to live in similar ecological environments. However, the extent of phenotypic convergence evolving through the same or distinct genetic trajectories remains an open question. Here, we leverage a comprehensive dataset of genomic and phenotypic data from 1,049 yeast species in the subphylum Saccharomycotina (Kingdom Fungi, Phylum Ascomycota) to explore signatures of convergent evolution in cactophilic yeasts, ecological specialists associated with cacti. We inferred that the ecological association of yeasts with cacti arose independently [~]17 times. Using machine-learning, we further found that cactophily can be predicted with 76% accuracy from functional genomic and phenotypic data. The most informative feature for predicting cactophily was thermotolerance, which is likely associated with duplication and altered evolutionary rates of genes impacting the cell envelope in several cactophilic lineages. We also identified horizontal gene transfer and duplication events of plant cell wall-degrading enzymes in distantly related cactophilic clades, suggesting that putatively adaptive traits evolved through disparate molecular mechanisms. Remarkably, multiple cactophilic lineages and their close relatives are emerging human opportunistic pathogens, suggesting that the cactophilic lifestyle--and perhaps more generally lifestyles favoring thermotolerance--may preadapt yeasts to cause human disease. This work underscores the potential of a multifaceted approach involving high throughput genomic and phenotypic data to shed light onto ecological adaptation and highlights how convergent evolution to wild environments could facilitate the transition to human pathogenicity.

evolutionary biology↗

Dynamic atP5CS2 Filament Facilitates Substrate Channeling

In plants, the rapid accumulation of proline is a common response to combat abiotic stress. Delta-1-pyrroline-5-carboxylate synthase (P5CS) is a rate-limiting enzyme in proline synthesis, catalyzing the initial two-step conversion from glutamate to proline. Here, we determine the first structure of plant P5CS. Our results show that Arabidopsis thaliana P5CS2 (atP5CS2) can form enzymatic filaments in a substrate-sensitive manner. The destruction of atP5CS filaments by mutagenesis leads to a significant reduction in enzymatic activity. Furthermore, separate activity tests on two domains reveals that filament-based substrate channeling is essential for maintaining the high catalytic efficiency of atP5CS. Our study demonstrates the unique mechanism for the efficient catalysis of P5CS, shedding light on the intricate mechanisms underlying plant proline metabolism and stress response. Therefore these findings provide potential avenues for crop genetically modified breeding.

biochemistry↗

Heterogeneity and genomic evolution of metastatic prostate cancer

BackgroundMetastasis is the primary cause of prostate cancer-related deaths. However, the underlying molecular mechanisms and evolutionary patterns remain largely uncharacterized. MethodsWe evaluate the heterogeneity and genomic evolution of prostate cancer with multi-organ metastases. The samples include 32 primary samples, 23 lymph node metastases, 22 bone metastases, 16 liver metastases, and four pelvic mess metastases. They are analyzed to identify the mutated genes enriched in metastatic samples, selected by metastases, and leading to different long-distance migrations. These metastasis-related alterations constitute a Mscore for evaluating the metastatic risk of primary prostate tumors. ResultsOur analysis discovers 21 metastasis-related mutated genes in total. Of them, 14 genes are finally selected for metastatic risk prognosis, including the mutations of AR and KMT2C with high prediction ability. A Mscore established with these 14 characteristics by the xgboost model displays its ability to classify primary tumors and metastases. This score can further divide primary prostate tumors from the TCGA cohort into two groups. The two subsets present significantly differential survival risks. This score can also identify metastasis-featured primary tumors for breast cancer, bladder cancer, liver cancer, and uterine corpus endometrial carcinoma. ConclusionOur research proposes 14 molecular features potentially driving prostate cancer metastasis. The Mscore established on them can estimate the metastatic risk of primary tumors.

bioinformatics↗

Neutralization of SARS-CoV-2 EG.5/EG.5.1 by sera from ZF2001 RBD-dimer and its next-generation vaccines

SARS-CoV-2 Omicron EG.5 and EG.5.1 are surging in several areas of the world, including China. Compared with XBB.1, EG.5 contains additional mutations of F456L and S486P in the spike protein receptor binding domain (RBD) and its subvariant EG.5.1 carries a further spike mutation Q52H. The immune escape potential of EG.5/EG.5.1 is of great concern. In this study, we evaluated the neutralization activities of sera from participants who received COVID-19 inactivated vaccines, protein subunit vaccine ZF2001 or a booster vaccination of Delta-BA.5 RBD-heterodimer protein vaccine, and participants who had a breakthrough infection during a wave of BF.7/BA.5.2 circulation in December 2022. Neutralization profiles elicited by bivalent RBD-heterodimer vaccine candidates containing XBB.1.5 antigen were evaluated in a murine model. We found that EG.5 and EG.5.1 displayed similar immune evasion potential to XBB.1 and XBB.1.5. The Delta-BA.5 RBD-heterodimer booster induced higher neutralizing titers against the tested XBB subvariants, including EG.5 and EG.5.1, than breakthrough infection by BF.7 or BA.5.2. In addition, Delta-XBB.1.5 and BQ.1.1-XBB.1.5 RBD-heterodimer vaccines induced high neutralizing activities against XBB sub-variants in a murine model, suggesting that next-generation COVID-19 vaccines with updated components must be developed to enhance the protection efficacy against the circulating SARS-CoV-2 strains.

immunology↗

Myostatin is a major endocrine driver of follicle-stimulating hormone synthesis

Myostatin is a paracrine myokine that regulates muscle mass in a variety of species, including humans. Here, we report a functional role for myostatin as an endocrine hormone directly promoting pituitary follicle-stimulating hormone (FSH) synthesis and thereby ovarian function. Previously, this FSH-stimulating role was attributed to other members of the transforming growth factor {beta} family, the activins. The results both challenge activins eponymous role in FSH synthesis and establish an endocrine axis between skeletal muscle and the pituitary gland. The data also suggest that efforts to antagonize myostatin to treat muscle wasting disorders may have unintended consequences on fertility. One-Sentence SummaryHormone synthesis and reproduction depend on crosstalk between skeletal muscle and the pituitary gland.

physiology↗

Sirenian genomes illuminate the evolution of fully aquatic species within the mammalian superorder Afrotheria

Sirenians of the diverse superorder Afrotheria were the first mammals to retransition from land to water and are the sole herbivorous marine mammals, but little is known about the underlying genomic changes. Here, we generated a chromosome-level dugong (Dugong dugon) genome. A comparison of our assembly and a recent West Indian manatee genome with other afrotherian genomes revealed possible molecular solutions to aquatic life by sirenians, including a shift in daily activity patterns (circadian clock) and tolerance to a high-iodine plant diet mediated through changes in the iodide transporter NIS (SLC5A5) and its co-transporters. Functional in vitro assays confirmed that sirenian amino acid substitutions alter the properties of the circadian clock protein PER2 and NIS. Sirenians show evidence of convergent regression of integumentary system (skin and its appendages) genes with cetaceans, the only other fully aquatic mammal group. Our analysis also uncovered gene losses that may be maladaptive in a modern environment, including a candidate gene (KCNK18) for sirenian cold stress syndrome likely lost during their evolutionary shift in daily activity patterns. Finally, genomes from nine Australian locations and the functionally extinct Okinawan population confirm and date a genetic break on the Australian east coast and highlight the need for whole-genome resequencing data from small or isolated dugong populations worldwide for conservation and genetic management.

evolutionary biology↗

Saccharomycotina yeasts defy longstanding macroecological patterns

The Saccharomycotina yeasts ("yeasts" hereafter) are a fungal clade of scientific, economic, and medical significance. Yeasts are highly ecologically diverse, found across a broad range of environments in every biome and continent on earth1; however, little is known about what rules govern the macroecology of yeast species and their range limits in the wild2. Here, we trained machine learning models on 12,221 occurrence records and 96 environmental variables to infer global distribution maps for 186 yeast species ([~]15% of described species from 75% of orders) and to test environmental drivers of yeast biogeography and macroecology. We found that predicted yeast diversity hotspots occur in mixed montane forests in temperate climates. Diversity in vegetation type and topography were some of the greatest predictors of yeast species richness, suggesting that microhabitats and environmental clines are key to yeast diversification. We further found that range limits in yeasts are significantly influenced by carbon niche breadth and range overlap with other yeast species, with carbon specialists and species in high diversity environments exhibiting reduced geographic ranges. Finally, yeasts contravene many longstanding macroecological principles, including the latitudinal diversity gradient, temperature-dependent species richness, and latitude-dependent range size (Rapoports rule). These results unveil how the environment governs the global diversity and distribution of species in the yeast subphylum. These high-resolution models of yeast species distributions will facilitate the prediction of economically relevant and emerging pathogenic species under current and future climate scenarios.

ecology↗

Oxidative regulation of TDP-43 self-association by a beta-to-alpha conformational switch

An evolutionarily conserved region of the TDP-43 low complexity domain twenty residues in length can adopt either an -helical or {beta}-strand conformation. When in the latter conformation, TDP-43 self-associates via the formation of a labile, cross-{beta} structure. Self-association can be monitored via the formation of phase separated protein droplets. Exposure of droplets to hydrogen peroxide leads to oxidation of conserved methionine residues distributed throughout the low complexity domain. Oxidation disassembles the cross-{beta} structure, thus eliminating both self-association and phase separation. Here we demonstrate that this process reciprocally enables formation of -helical structure in precisely the same region formerly functioning to facilitate {beta}-strand mediated self-association. We further observe that the -helical conformation allows interaction with a lipid-like detergent, and that exposure to lipids enhances the {beta}-to- conformational switch. We hypothesize that regulation of this oxidative switch will prove to be important to the control of localized translation within vertebrate cells. The experimental observations reported herein were heavily reliant on studies of 1,6-hexanediol, a chemical agent that selectively dissolves labile structures formed via the self-association of protein domains of low sequence complexity. This aliphatic alcohol is shown to exert its dissociative activity primarily via hydrogen bonding interactions with carbonyl oxygen atoms of the polypeptide backbone. Such observations underscore the central importance of backbone-mediated protein:protein interactions that facilitate the self-association and phase separation of low complexity domains. Significance StatementThe TDP-43 protein is a constituent of RNA granules involved in regulated translation. TDP-43 contains a C-terminal domain of 150 amino acids of low sequence complexity conspicuously decorated with ten methionine residues. An evolutionarily conserved region (ECR) of 20 residues within this domain can adopt either of two forms of labile secondary structure. Under normal conditions wherein methionine residues are reduced, the ECR forms a labile cross-{beta} structure that enables RNA granule condensation. Upon methionine oxidation, the ECR undergoes a conformational switch to become an -helix incompatible with self-association and granule integrity. Oxidation of the TDP-43 low complexity domain is hypothesized to occur proximal to mitochondria, thus facilitating dissolution of RNA granules and activation of localized translation.

biochemistry↗

NRF2 Regulates Contractile Vascular Smooth Muscle Cells Phenotypic Switching In Abdominal Aortic Aneurysm

OBJECTIVEEvidence from previous studies has demonstrated that NRF2 can protect cardiovascular progression,which prompted us to study if NRF2 is involved in AAA development. APPROACH AND RESULTSThe difference and function of NRF2 in AAA were verified on human aortic tissues combined with scRNA-seq samples.We then used angiotensin II (Ang II) infusion mouse model with VSMCs-specific knockout to study the role of NRF2 in AAA formation.Primary cultured VSMCs were used to study how NRF2 regulates contractile VSMCs phenotype.Patient specimens were obtained to investigate the relevance of NRF2 expression to human AAA disease. NRF2 was induced in abdominal aortic VSMCs in both mouse and human AAA tissues. VSMCs-specific NRF2 knockout increased experimental AAA formation. Mechanistically, NRF2 regulates the contractile VSMCs phenotypic through miRNA145, leading to increased classic contractile protein level to prevent the development of AAA. CONCLUSIONSNRF2 is a negative regulator of AAA development, and thus may represent a potentially new therapeutic target to inhibit AAA growth and rupture.

bioinformatics↗

Proteome-Wide Association Studies for Blood Lipids and Comparison with Transcriptome-Wide Association Studies

Blood lipid traits are treatable and heritable risk factors for heart disease, a leading cause of mortality worldwide. Although genome-wide association studies (GWAS) have discovered hundreds of variants associated with lipids in humans, most of the causal mechanisms of lipids remain unknown. To better understand the biological processes underlying lipid metabolism, we investigated the associations of plasma protein levels with total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL), and low-density lipoprotein cholesterol (LDL) in blood. We trained protein prediction models based on samples in the Multi-Ethnic Study of Atherosclerosis (MESA) and applied them to conduct proteome-wide association studies (PWAS) for lipids using the Global Lipids Genetics Consortium (GLGC) data. Of the 749 proteins tested, 42 were significantly associated with at least one lipid trait. Furthermore, we performed transcriptome-wide association studies (TWAS) for lipids using 9,714 gene expression prediction models trained on samples from peripheral blood mononuclear cells (PBMCs) in MESA and 49 tissues in the Genotype-Tissue Expression (GTEx) project. We found that although PWAS and TWAS can show different directions of associations in an individual gene, 40 out of 49 tissues showed a positive correlation between PWAS and TWAS signed p-values across all the genes, which suggests a high-level consistency between proteome-lipid associations and transcriptome-lipid associations.

genomics↗

Wiskott-Aldrich Syndrome Protein Regulates Nucleolar Organization and Function in Innate Immune Response

Wiskott-Aldrich syndrome (WAS) is a primary immunodeficiency disorder caused by the dysfunction of the WAS protein (WASP). Using an isogenic macrophage model derived from genome edited induced pluripotent stem cells we demonstrated that WASP functions in the nucleolus, which plays important roles in immune regulation. The absence of WASP resulted in smaller and misshapen nucleoli, decreased fibrillar center territory, and impaired ribosomal RNA (rRNA) transcription. The nucleolar and rRNA phenotypes were confirmed in WAS patient samples. Furthermore, WASP interacts with nucleolar proteins, including nucleophosmin 1 (NPM1) and fibrillarin (FBL). NPM1 deficiency is known to cause elevated cytokine expression following lipopolysaccharide (LPS) stimulation. Consistently, WASP deficient cells displayed lower levels of NPM1 and a heightened inflammatory cytokine response to LPS, which was rescued by overexpressing NPM1. Together, our research provides novel insights into the critical role of WASP in nucleolar function and the modulation of inflammatory cytokine production.

cell biology↗