Biology subjects

Liu, Z.

Publications and source records attributed to Liu, Z..

At least 469 records · Page 26Linked to original sources

bioRxiv2024

Comprehensive multimodal and multiomic profiling reveals epigenetic and transcriptional reprogramming in lung tumors

Epigenomic mechanisms are critically involved in mediation of genetic and environmental factors that underlie cancer development. Histone modifications represent highly informative epigenomic marks that reveal activation and repression of gene activities and dysregulation of transcriptional control due to tumorigenesis. Here, we present a comprehensive epigenomic and transcriptomic mapping of 18 tumor and 20 non-neoplastic tissues from non-small cell lung adenocarcinoma patients. Our profiling covers 5 histone marks including activating (H3K4me3, H3K4me1, and H3K27ac) and repressive (H3K27me3 and H3K9me3) marks and the transcriptome using only 20 mg of tissue per sample, enabled by low-input omic technologies. Using advanced integrative bioinformatic analysis, we uncovered cancer-driving signaling cascade networks, changes in 3D genome modularity, and differential expression and functionalities of transcription factors and noncoding RNAs. Many of these identified genes and regulatory molecules showed no significant change in their expression or a single epigenomic modality, emphasizing the power of integrative multimodal and multiomic analysis using patient samples.

genomics↗

bioRxiv2024

Multi-step engineered adeno-associated virus enables whole-brain mRNA delivery

Adeno-associated viruses (AAVs) are commonly used vectors for DNA delivery in gene therapy. Here we developed a system that enables the AAV shell to package mRNAs by multi-step introduction of RNA-packaging components and modification of AAV Rep proteins. The resultant mRNA-carrying AAVs (RAAVs) retained most properties of conventional AAVs, including capsid composition, virus morphology, and tissue tropism. These RAAVs could mediate mRNA transfer into target cells and tissues, leading to transient expression of the functional protein. Importantly, intravenously injected RAAVs efficiently crossed the blood-brain barrier (BBB) and infected the whole mouse brain. Thus, the DNA viral vector could be modified for RNA delivery, and our RAAV represents the first highly efficient BBB-crossing mRNA delivery system that could be used for therapeutic purposes via whole-brain infection.

bioengineering↗

bioRxiv2024

The Assembly of Purple-red Spinach Provides Insight into the Mechanism of Betalain Biosynthesis

Purple-red spinach is a unique cultivar with rich in betalains, which has been used for food colorants and is beneficial for human health. In view of the lack of genomic inforamtion of purple-red spinach genome and promote the idetification of betalian gene, we presented the genome of purple-red spinach with Nanopore ultra-long and illumina sequencing platform. The contig N50 size was 2.2Mb and 99.33% contig sequence was anchored to the six chromosomes, totaling 878.83Mb. The purple-red genome constitues 74.15% repeat sequence and harbors 26020 protein-coding genes. We also comprehensively identified candidate genes in betalain biosynthesis pathway in spinach. Moreover, a combined transcriptomic and BSA analysis uncovered a key betalain gene, FUN_002594, which regulated the color and betalain content of leaf. Our data present a valuable resource for facilitating molecular breeding programs of spinach and shed novel light on unique attributes, as well as the modulation of betalain biosynthesis.

genomics↗

bioRxiv2024

Robust virtual staining of landmark organelles

Correlative dynamic imaging of cellular landmarks, such as nuclei and nucleoli, cell membranes, nuclear envelope and lipid droplets is critical for systems cell biology and drug discovery, but challenging to achieve with molecular labels. Virtual staining of label-free images with deep neural networks is an emerging solution for correlative dynamic imaging. Multiplexed imaging of cellular landmarks from scattered light and subsequent demultiplexing with virtual staining leaves the light spectrum for imaging additional molecular reporters, photomanipulation, or other tasks. Current approaches for virtual staining of landmark organelles are fragile in the presence of nuisance variations in imaging, culture conditions, and cell types. We report training protocols for virtual staining of nuclei and membranes robust to variations in imaging parameters, cell states, and cell types. We describe a flexible and scalable convolutional architecture, UNeXt2, for supervised training and self-supervised pre-training. The strategies we report here enable robust virtual staining of nuclei and cell membranes in multiple cell types, including human cell lines, neuromasts of zebrafish and stem cell (iPSC)-derived neurons, across a range of imaging conditions. We assess the models by comparing the intensity, segmentations, and application-specific measurements obtained from virtually stained and experimentally stained nuclei and cell membranes. The models rescue missing labels, non-uniform expression of labels, and photobleaching. We share three pre-trained models (VSCyto3D, VSNeuromast, and VSCyto2D) and a PyTorch-based pipeline (VisCy) for training, inference, and deployment that leverages current community standards for image data and metadata.

bioinformatics↗

bioRxiv2024

RNADiffFold: Generative RNA Secondary Structure Prediction using Discrete Diffusion Models

RNA molecules are essential macromolecules that perform diverse biological functions in living beings. Precise prediction of RNA secondary structures is instrumental in deciphering their complex three-dimensional architecture and functionality. Traditional methodologies for RNA structure prediction, including energy-based and learning-based approaches, often depict RNA secondary structures from a static perspective and rely on stringent a priori constraints. Inspired by the success of diffusion models, in this work, we introduce RNADiffFold, an innovative generative prediction approach of RNA secondary structures based on multinomial diffusion. We reconceptualize the prediction of contact maps as akin to pixel-wise segmentation and accordingly train a denoising model to refine the contact maps starting from a noise-infused state progressively. We also devise a potent conditioning mechanism that harnesses features extracted from RNA sequences to steer the model toward generating an accurate secondary structure. These features encompass one-hot encoded sequences, probabilistic maps generated from a pre-trained scoring network, and embeddings and attention maps derived from RNA-FM. Experimental results on both within- and cross-family datasets demonstrate RNADiffFolds competitive performance compared with current state-of-the-art methods. Additionally, RNADiffFold has shown a notable proficiency in capturing the dynamic aspects of RNA structures, a claim corroborated by its performance on datasets comprising multiple conformations.

bioinformatics↗

bioRxiv2024

Precise cell recovery by cell nucleus united transcript (CellCUT) for enhanced spatial transcriptomics

Cell segmentation is the first step in parsing spatial transcriptomic data, often a challenging task. Existing cell segmentation methods do not fully leverage spatial cues between nuclear images and transcripts, tending to produce undesirable cell profiles for densely packed cells. Here, we propose CellCUT to perform cell segmentation and transcript assignment without additional manual annotations. CellCUT provides a flexible computational framework that maintains high segmentation accuracy across diverse tissues and spatial transcriptomics protocols, showing superior capabilities compared to state-of-the-art methods. CellCUT is a robust model to deal with undesirable data such as low contrast intensity, localized absence of transcripts, and blurred images. CellCUT supports a human-in-the-loop workflow to enhance its generalizability to customized datasets. CellCUT identifies subcellular structures, enabling insights at both the single-cell and subcellular levels.

bioinformatics↗

bioRxiv2024

The genomic and epigenomic dynamics of hemizygous genes across crops with contrasting mating systems

Hemizygous genes, which present on only one of the two homologous chromosomes of diploid organisms, have been mainly studied in the context of sex chromosomes and sex-linked genes. However, structural variants (SVs), such as a deletion/insertion of one allele, can lead to hemizygous genes, a phenomenon largely unexplored in plants. Here, we investigated the genomic and epigenomic landscapes of hemizygous genes across 22 genomes with varying propagation histories: eleven clonal lineages, seven outcrossed samples and four inbred and putatively homozygous genomes. We identified SVs leading to genic hemizygosity. As expected, very few genes (0.01%-1.2%) were hemizygous in the homozygous genomes, representing negative controls. Hemizygosity was appreciable among outcrossed lineages, averaging 8.7% of genes, but consistently elevated for the clonal samples at 13.8% genes, likely reflecting heterozygous SVs accumulation during clonal propagation. Compared to diploid genes, hemizygous genes were more often situated in centromeric than telomeric regions and underlying weaker purifying selection. They also had reduced levels of expression, averaging [~]20% of the expression levels of diploid genes, violating the evolutionary model of dosage compensation. We also detected higher DNA methylation levels, in hemizygous genes and transposable elements, which may contribute to the reduced expression of hemizygous genes. Finally, expression profiles showed that hemizygous genes were more specifically expressed in contexts related to fruit development, organ differentiation and stress responses. Overall, hemizygous genes accumulate in clonally propagated lineages and display distinct genetic, and epigenetic features compared to diploid genes, shedding new insights on genetic studies and breeding programs of clonal crops.

plant biology↗

bioRxiv2024

Molecular Display of the Animal Meta-Venome for Discovery of Novel Therapeutic Peptides

Animal venoms, distinguished by their unique structural features and potent bioactivities, represent a vast and relatively untapped reservoir of therapeutic molecules. However, limitations associated with extracting or expressing large numbers of individual venoms and venom-like molecules have precluded their therapeutic evaluation via high throughput screening. Here, we developed an innovative computational approach to design a highly diverse library of animal venoms and "metavenoms". We employed programmable M13 hyperphage display to preserve critical disulfide-bonded structures for highly parallelized single-round biopanning with quantitation via high-throughput DNA sequencing. Our approach led to the discovery of Kunitz type domain containing proteins that target the human itch receptor Mas-related G protein-coupled receptor X4 (MRGPRX4), which plays a crucial role in itch perception. Deep learning-based structural homology mining identified two endogenous human homologs, tissue factor pathway inhibitor (TFPI) and serine peptidase inhibitor, Kunitz type 2 (SPINT2), which exhibit agonist-dependent potentiation of MRGPRX4. Highly multiplexed screening of animal venoms and metavenoms is therefore a promising approach to uncover new drug candidates.

molecular biology↗

bioRxiv2024

Engineering the Mechanical Stability of a Therapeutic Affibody/PD-L1 Complex by Anchor Point Selection

Protein-protein complexes can vary in mechanical stability depending on the direction from which force is applied. Here we investigated the anisotropic mechanical stability of a molecular complex between a therapeutic non-immunoglobulin scaffold called Affibody and the extracellular domain of the immune checkpoint protein PD-L1. We used a combination of single-molecule AFM force spectroscopy (AFM-SMFS) with bioorthogonal clickable peptide handles, shear stress bead adhesion assays, molecular modeling, and steered molecular dynamics (SMD) simulations to understand the pulling point dependency of mechanostability of the Affibody:(PD-L1) complex. We observed diverse mechanical responses depending on the anchor point. For example, pulling from residue #22 on Affibody generated an intermediate unfolding event attributed to partial unfolding of PD-L1, while pulling from Affibodys N-terminus generated force-activated catch bond behavior. We found that pulling from residue #22 or #47 on Affibody generated the highest rupture forces, with the complex breaking at up to [~] 190 pN under loading rates of [~]104-105 pN/sec, representing a [~]4-fold increase in mechanostability as compared with low force N-terminal pulling. SMD simulations provided consistent tendencies in rupture forces, and through visualization of force propagation networks provided mechanistic insights. These results demonstrate how mechanostability of therapeutic protein-protein interfaces can be controlled by informed selection of anchor points within molecules, with implications for optimal bioconjugation strategies in drug delivery vehicles.

biophysics↗

bioRxiv2024

Genome sequencing of 'Fuji' apple clonal varieties reveals evolutionary history and genetic mechanism of the spur-type morphology

Somatic variations arising during asexual reproduction can lead to the emergence of bud sports exhibiting advantageous traits, forming the basis for bud sport breeding in perennial plants. Here, we report a near-complete, fully phased genome assembly of Fuji apple, enabling comprehensive identification of somatic variants across 74 clonally propagated Fuji varieties. Phylogenetic analysis of Fuji sport varieties indicates that the emergence of spur-type and early maturation traits results from multiple independent formation events. A number of putative functional somatic variants are identified, including one spur-type specific deletion located in the promoter of the TCP transcription factor gene MdTCP11. DNA methylation level of the deletion-associated miniature inverted-repeat transposable element is lower in the spur-type varieties compared to the standard-type varieties, while the expression of MdTCP11 is significantly higher. Overexpression of MdTCP11 in apple decreases the plant height, highlighting its important role in the development of spur-type apple varieties. This study sheds light on the 80-year cloning history of Fuji and provides valuable candidate causative mutations for apple breeding.

plant biology↗

bioRxiv2024

Rtf1 HMD domain facilitates global histone H2B monoubiquitination and regulates morphogenesis and virulence in the meningitis-causing pathogen Cryptococcus neoformans

Rtf1 is generally considered to be a subunit of the Paf1 complex (Paf1C), which is a multifunctional protein complex involved in histone modification and RNA biosynthesis at multiple stages. Rtf1 is stably associated with the Paf1C in Saccharomyces cerevisiae, but not in other species including humans. Little is known about its function in human fungal pathogens. Here, we show that Rtf1 is required for facilitating H2B monoubiquitination (H2Bub1), and regulates fungal morphogenesis and pathogenicity in the meningitis-causing fungal pathogen Cryptococcus neoformans. Rtf1 is not tightly associated with the Paf1C, and its histone modification domain (HMD) is sufficient to promote H2Bub1 and the expression of genes related to fungal mating and filamentation. Moreover, Rtf1 HMD fully restores fungal morphogenesis and pathogenicity; however, it fails to restore defects of thermal tolerance and melanin production in the rtf1{Delta} strain background. The present study establishes a role for cryptococcal Rtf1 as a Paf1C-independent regulator in regulating fungal morphogenesis and pathogenicity, and highlights the function of HMD in facilitating global H2Bub1 in C. neoformans.

molecular biology↗

bioRxiv2024

Recognition of RNA secondary structures with a programmable peptide nucleic acid-based platform

RNA secondary structures comprise double-stranded (ds) and single-stranded (ss) regions. Antisense peptide nucleic acids (asPNAs) enable the targeting of ssRNAs and weakly formed dsRNAs. Nucleobase-modified dsRNA-binding PNAs (dbPNAs) allow for targeting of relatively stable dsRNAs. A programmable RNA structure-specific targeting strategy is needed for simultaneous recognition of dsRNAs and ssRNAs. Here, we report on combining dbPNAs and asPNAs (designated as daPNAs) for the targeting of dsRNA-ssRNA junctions. Our binding and modeling data suggest that combining traditional asPNA (with a 4-letter code: T, C, A, and G) and dbPNA (with a 4-letter code: T or s2U, L, Q, and E) scaffolds facilitates RNA structure-specific tight binding (nM to M) under physiologically-relevant conditions. We further applied our daPNAs in substrate specific inhibition of Dicer acting on pre-miR-198 in a cell-free assay and regulating ribosomal frameshifting induced by model hairpins in both cell-free and cell culture assays. daPNAs would be a useful platform for developing chemical probes and therapeutic ligands targeting RNA. HighlightO_LIWe demonstrated that sequence- and structure-specific targeting of RNA can be facilitated by nucleobase-modified dsRNA-binding PNAs (dbPNAs) platform in combination with antisense PNAs (asPNAs). We name the novel PNAs as daPNAs. C_LIO_LIdaPNAs can be used in a programmable way for targeting RNAs by formation of a short triplex next to a short duplex at a dsRNA-ssRNA junction. C_LIO_LIWe applied our daPNAs in substrate specific inhibition of Dicer acting on pre-miR-198 in a cell-free assay and regulating ribosomal frameshifting induced by model hairpins in both cell-free and cell culture assays. C_LIO_LIThe daPNAs platform would serve as useful junction-specific molecular glues for the targeting of many biologically important RNA structures in transcriptomes. C_LI

biochemistry↗

bioRxiv2024

Propiconazole and Tianfengsu Regulated the Growth, Flavor, and Nutrition of Brassica rapa by Brassinosteroid Pathway

Propiconazole (PCZ) and Tianfengsu (TFS) are widely used plant growth regulators in vegetable production for improving crop growth, quality, and flavor. This study investigated the effects of PCZ and TFS, applied individually or in combination, on the growth, development, flavor quality, and nutritional components of choy sum (Brassica rapa) and Arabidopsis thaliana, as well as the underlying molecular mechanisms. The results showed that PCZ inhibited the growth of choy sum and Arabidopsis but enhanced the accumulation of flavor compounds such as soluble sugars, proteins, and vitamin C. In contrast, TFS promoted plant growth and increased the content of nutritional components, including chlorophyll and unsaturated fatty acids. Notably, the combined application of PCZ and TFS significantly improved overall plant quality, achieving the optimal balance of flavor and nutritional value while maintaining high yield. Transcriptomic analysis revealed the molecular mechanisms of PCZ and TFS in differentially regulating the expression of brassinosteroid (BR) signaling and downstream metabolism-related genes. Weighted gene co-expression network analysis (WGCNA) further identified key gene modules and hub genes controlling flavor metabolism in choy sum. This study elucidates the synergistic mechanisms of PCZ and TFS in regulating vegetable growth and quality formation, providing valuable insights for the safe production of high-quality choy sum and the development of novel plant growth regulators or elite varieties. HIGHLIGHTSO_LIPCZ and TFS treatments differentially modulate choy sum growth and development by regulating the BR pathway, with PCZ inhibiting while TFS promoting growth. C_LIO_LIPCZ enhances the accumulation of soluble sugars, soluble proteins, and vitamin C, while TFS increases photosynthetic pigments and unsaturated fatty acids, synergistically improving the flavor and nutritional quality of choy sum. C_LIO_LITranscriptomic analysis and WGCNA uncover key genes and modules controlling flavor metabolism in choy sum, providing potential targets for developing novel plant growth regulators or breeding elite varieties C_LI

plant biology↗

bioRxiv2024

Comparative genomics of three non-hematophagous leeches (Whitmania spp.): focusing on antithrombotic genes

Leeches are well known for their blood-feeding habits and are widely used for medicinal purposes as they secrete various antithrombotic substances. However, some leeches such as Whitmania spp. exhibit non-hematophagous feeding habits and their significance for medicinal use is debated. In this study, we provide chromosome-level genomes of two non-hematophagous leeches Whitmania acranulata and Whitmania laevis, and combined with our previous results of Whitmania pigra, we systematically analyzed the similarities and differences on the genomes and especially their antithrombotic genes among the three non-hematophagous Whitmania leeches. For W. acranulata, W. laevis, and W. pigra, the genome size (181.72 Mb, 173.87 Mb, and 173.56), the percentage of repeat sites (29.55%, 28.28%, and 27.02%), and the number of protein-coding genes (27,068, 23,805, and 24,156) were close to each other, respectively. In contrast, both the total number of the antithrombotic genes (100, 63, and 79), and the detailed constitutes of different antithrombotic gene families were obviously different among the three leeches. There were also massive genetic variations among the members within each antithrombotic gene/protein family. RNA-Seq-based gene expression estimation showed that the expression profiles of the antithrombotic gene families were apparently different among the three leeches. This is the most comprehensive comparison of the genomes and antithrombic biomacromolecules for the Whitmania leeches to date. Our results will greatly facilitate the evolutionary research and application of leech derivatives for medical and pharmaceutical purposes of thrombosis.

genomics↗

bioRxiv2024

Coxsackievirus group B3 regulates ASS1-mediated metabolic reprogramming and promotes macrophage inflammatory polarization in viral myocarditis

Coxsackievirus group B3 (CVB3) belongs to the genus Enteroviruses of the family Picornaviridae and is the main pathogen underlying viral myocarditis (VMC). No specific therapeutic is available for this condition. Argininosuccinate synthase 1 (ASS1) is a key enzyme in the urea cycle that converts citrulline and aspartic acid to argininosuccinate. Here, we found that CVB3 and its capsid protein VP2 inhibit the autophagic degradation of ASS1 and that CVB3 consumes citrulline to upregulate ASS1, triggers urea cycle metabolic reprogramming, then activates macrophages to develop pro-inflammatory polarization, thereby promoting the occurrence and development of VMC. Conversely, citrulline supplementation to prevent depletion can downregulate ASS1, rescue macrophage polarization, and alleviate the pathogenicity of VMC. These findings provide a new perspective on the occurrence and development of VMC, revealing ASS1 as a potential new target for the treatment of this disease. IMPORTANCEViral myocarditis (VMC) is a common and potentially life-threatening myocardial inflammatory disease, most commonly caused by CVB3 infection. So far, the pathogenesis of VMC caused by CVB3 is mainly focused on two aspects: one is the direct myocardial injury caused by a large number of viral replication in the early stage of infection, and the other is the local immune cell infiltration and inflammatory damage of the myocardium in the adaptive immune response stage. There are few studies on the early innate immunity of CVB3 infection in myocardial tissue, but the appearance of macrophages in the early stage of CVB3 infection suggests that they can play a regulatory role as early innate immune response cells in myocardial tissue. Here, we discovered a possible new mechanism of VMC caused by CVB3, revealed new drug targets for anti-CVB3 and discovered the therapeutic potential of citrulline for VMC.

microbiology↗

bioRxiv2024

Multi-omics delineate growth factor network underlying exercise effects in an Alzheimer's mouse model

Physical exercise represents a primary defense against age-related cognitive decline and neurodegenerative disorders like Alzheimers disease (AD). To impartially investigate the underlying mechanisms, we conducted single-nucleus transcriptomic and chromatin accessibility analyses (snRNA-seq and ATAC-seq) on the hippocampus of mice carrying AD-linked NL-G-F mutations in the amyloid precursor protein gene (APPNL-G-F) following prolonged voluntary wheel-running exercise. Our study reveals that exercise mitigates amyloid-induced changes in both transcriptomic expression and chromatin accessibility through cell type-specific transcriptional regulatory networks. These networks converge on the activation of growth factor signaling pathways, particularly the epidermal growth factor receptor (EGFR) and insulin signaling, correlating with an increased proportion of immature dentate granule cells and oligodendrocytes. Notably, the beneficial effects of exercise on neurocognitive functions can be blocked by pharmacological inhibition of EGFR and the downstream phosphoinositide 3-kinases (PI3K). Furthermore, exercise leads to elevated levels of heparin-binding EGF (HB-EGF) in the blood, and intranasal administration of HB-EGF enhances memory function in sedentary APPNL-G-F mice. These findings offer a panoramic delineation of cell type-specific hippocampal transcriptional networks activated by exercise and suggest EGF-related growth factor signaling as a druggable contributor to exercise-induced memory enhancement, thereby suggesting therapeutic avenues for combatting AD-related cognitive decline.

animal behavior and cognition↗

bioRxiv2024

Protein S-glutathionylation confers cell resistance to ferroptosis

Ferroptosis is a type of cell death that is strongly associated with the cellular redox state. Glutathione is the key to buffering lipid peroxidation in ferroptosis and can also modify proteins by S-glutathionylation under oxidative stress. Here, we showed that the strong associations among glutathione pools, protein S-glutathionylation, and susceptibility to ferroptosis existed broadly in ferroptosis induced by erastin or acetaminophen. Deficiency of CHAC1, a glutathione-degrading enzyme, led to decreased glutathione pools and reduced protein S-glutathionylation, improved liver function and attenuated hepatocyte ferroptosis upon acetaminophen challenge, which could be retarded by CHAC1 overexpression. We conducted quantitative redox proteomics in primary mouse hepatocytes to identify glutathione pool-sensitive S-glutathionylated proteins and found that S-glutathionylation is required to maintain the function of ADP-ribosylation factor 6 (ARF6). Our data suggest that aberrant ARF6 S-glutathionylation increases the labile iron pool by delaying the recycling of transferrin receptors, thereby promoting ferroptosis. Our study reveals the importance of protein S-glutathionylation in conferring cell resistance to ferroptosis. O_FIG O_LINKSMALLFIG WIDTH=186 HEIGHT=200 SRC="FIGDIR/small/592374v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@82dbaeorg.highwire.dtl.DTLVardef@1247cc5org.highwire.dtl.DTLVardef@7b7147org.highwire.dtl.DTLVardef@49ff07_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LIHighly upregulated CHAC1 decreases glutathione pools and protein S-glutathionylation. C_LIO_LIReduced protein S-glutathionylation associated with decreased glutathione pools promotes ferroptosis. C_LIO_LIS-glutathionylation of ARF6 at Cys90 promotes ARF6 activation. C_LIO_LIReduced S-glutathionylation of ARF6 provides a labile iron pool to drive ferroptosis. C_LI

cell biology↗

bioRxiv2024

CCR7+ Dendritic Cells Define a Type 17 Module in Psoriasis

Interleukin (IL)-23 is the master pathogenic cytokine in psoriasis and neutralization of IL-23 alleviates psoriasis. Psoriasis relapses after the withdrawal of IL-23 antibodies, and the persistence of IL-23-producing cells probably contributes to such recurrence. However, the cellular source of IL-23 was unclear, which hinders the development of targeted therapies focusing on modulating IL-23 expression aimed at resolving relapse. Here, we showed that IL4I1+CD200+CCR7+ dendritic cells (CCR7+ DC) dominantly produced IL-23 by concomitantly expressing the IL-23A and IL-12B subunits in human psoriatic skin. Deletion of CCR7+ DC completely abrogated IL-23 production in a mouse model of psoriasis and enforced expression of IL-23a in CCR7+ DC elicited not only {beta}T cell-driven psoriasis-like skin disease, but also arthritis. CCR7+ DC co-localized with CD161+ IL-17-producing T cells and KRT17+ keratinocytes, which were located in the outermost layers of psoriatic epidermis and strongly exhibited IL-17 downstream signatures. Based on these data, we identified CCR7+ DC as the source of IL-23 in psoriasis, which paves the way for the design of therapies focused on manipulating IL-23 production that may resolve the relapse of chronic inflammatory disorders like psoriasis. HIGHLIGHTSO_LIIL4I1+CD200+CCR7+ DC are dominant IL-23 producers in psoriasis and its mouse model. C_LIO_LIPsoriatic CCR7+ DC likely arise from cDC2. C_LIO_LICD161 marks all IL-17-producing T cells in psoriatic skin. C_LIO_LIIL-23a overexpression in CCR7+ DC elicits an {beta}T cell-driven mouse model of psoriasis and arthritis. C_LIO_LICCR7+ DC spatially define a type 17 module in psoriatic epidermis. C_LI

immunology↗