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Ji, J.

Publications and source records attributed to Ji, J..

At least 55 records · Page 3Linked to original sources

Exploring the Mechanism of Gentiana in Treating Pancreatic Cancer Based on Network Pharmacology and Molecular Docking Techniques

ObjectiveThis study aims to investigate the mechanism of Gentiana in treating pancreatic cancer using network pharmacology and molecular docking techniques. MethodsActive compounds of Gentiana were screened from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. The 3D structures of the active compounds were downloaded from the PubChem database. Reverse docking was performed using the PharmMapper database to identify potential target proteins. Differential gene expression data related to colorectal cancer were obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed genes were selected. Venn diagram analysis was employed to identify common genes between the protein targets and differentially expressed genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) tool. Molecular docking was performed using ChemDraw 20.0, AutoDock, and PyMOL. ResultsA total of 72 common genes and 15 signaling pathways were identified from the reverse docking data of Gentiana and the pancreatic cancer dataset (GSE196009). Molecular docking results demonstrated favorable binding energies between the active compounds of Gentiana and proteins 1og5, 1pq2, 2bxr, 2bk3, 1u3w, 1wma, 1wuu, 1tdi, 1mlw, 1egc, 1s1p, 1f12, 1m51, 1kqu, 1ls6, 1ry0, 1nhx, and 1db4. ConclusionGentiana may exert its therapeutic effects on pancreatic cancer through a multi-component, multi-target, and multi-pathway mechanism.

pharmacology and toxicology↗

SSRI antidepressant citalopram reverses the Warburg effect to inhibit hepatocellular carcinoma by directly targeting GLUT1

Although there is growing appreciation for effective repurposing of selective serotonin reuptake inhibitors (SSRIs) for cancer therapy, particularly hepatocellular carcinoma (HCC), efforts are hampered by limited knowledge of their molecular targets and mechanism of action. Global inverse gene-expression profiling method, drug affinity responsive target stability assay, and in silico molecular docking analysis was performed to identify the targets of SSRIs. Murine subcutaneous, orthotopic models, and patient-derived xenograft were employed to explore the therapeutic effects and underlying mechanisms of SSRIs in HCC. The clinical relevance of SSRI use was verified with real world data. SSRIs exhibit significant anti-HCC effects independent of their known target serotonin reuptake transporter. The glucose transporter 1 (GLUT1) is identified as a new target of SSRIs. Citalopram binds to and antagonizes GLUT1, resulting in reduced glycolytic flux and ATP generation. Mutant GLUT1 in the binding site E380 of citalopram compromises the inhibitory effects of citalopram on the Warburg effect and tumor growth. In preclinical models, citalopram dampens the growth kinetics of GLUT1high liver tumors and displays a synergistic effect with anti-PD-1 therapy. Retrospective analysis of health records found that SSRIs use is associated with a lower risk of metastasis among HCC patients. Our study reveals an unprecedented role of SSRIs in cancer metabolism, and establishes a rationale for repurposing SSRIs as potential anticancer drugs for HCC.

cancer biology↗

Molecular Insights into AGS3's Role in Spindle Orientation: A Biochemical Perspective

The intrinsic regulation of spindle orientation during asymmetric cell division (ACD) depends on the evolutionarily conserved protein complex LGN (Pins)/NuMA (Mud)/G{middle dot}GDP. While the role of LGN and its Drosophila orthologue Pins is well-established, the function of AGS3, the paralogue of LGN, in spindle orientation during cell division remains controversial. This study substantiates the contentious nature of AGS3s function through systematic biochemical characterizations. The results confirm the high conservation of AGS3 in its functional structural domains, similar to LGN, and its comparable ability to bind partners including NuMA, Insc and Gi3{middle dot}GDP. However, in contrast to LGN, AGS3 and the microtubule-binding protein NuMA are unable to form stable hetero-hexamers or higher-order oligomeric complexes that are pivotal for effective regulation of spindle orientation. It was found that this notable difference between AGS3 and LGN stems from the N-terminal sequence preceding the conserved TPR motifs, which spans approximately 20 residues. Furthermore, our findings substantiate the disruptive effect of Insc on the oligomeric AGS3/NuMA complex, while showing no impact on the oligomeric LGN/NuMA complex. Consequently, Insc emerges as an additional regulatory factor that distinguishes the functional roles of AGS3 and LGN, leading to the impairment of AGS3s ability to actively reorient the mitotic spindle. These results elucidate the molecular basis underlying the observed functional disparity in spindle orientation between LGN and AGS3, providing valuable insights into the regulation of cell division at the molecular level.

biochemistry↗

Digital pathology assessment of kidney glomerular filtration barrier ultrastructure in an animal model of podocytopathy

BackgroundTransmission electron microscopy (TEM) images can visualize kidney glomerular filtration barrier ultrastructure, including the glomerular basement membrane (GBM) and podocyte foot processes (PFP). Podocytopathy is associated with glomerular filtration barrier morphological changes observed experimentally and clinically by measuring GBM or PFP width. However, these measurements are currently performed manually. This limits research on podocytopathy disease mechanisms and therapeutics due to labor intensiveness and inter-operator variability. MethodsWe developed a deep learning-based digital pathology computational method to measure GBM and PFP width in TEM images from the kidneys of Integrin-Linked Kinase (ILK) podocyte-specific conditional knockout (cKO) mouse, an animal model of podocytopathy, compared to wild-type (WT) control mouse. We obtained TEM images from WT and ILK cKO littermate mice at 4 weeks old. Our automated method was composed of two stages: a U-Net model for GBM segmentation, followed by an image processing algorithm for GBM and PFP width measurement. We evaluated its performance with a 4-fold cross-validation study on WT and ILK cKO mouse kidney pairs. ResultsMean (95% confidence interval) GBM segmentation accuracy, calculated as Jaccard index, was 0.73 (0.70-0.76) for WT and 0.85 (0.83-0.87) for ILK cKO TEM images. Automated and manual GBM width measurements were similar for both WT (p=0.49) and ILK cKO (p=0.06) specimens. While automated and manual PFP width measurements were similar for WT (p=0.89), they differed for ILK cKO (p<0.05) specimens. WT and ILK cKO specimens were morphologically distinguishable by manual GBM (p<0.05) and PFP (p<0.05) width measurements. This phenotypic difference was reflected in the automated GBM (p<0.05) more than PFP (p=0.06) widths. ConclusionsThese results suggest that certain automated measurements enabled via deep learning-based digital pathology tools could distinguish healthy kidneys from those with podocytopathy. Our proposed method provides high-throughput, objective morphological analysis and could facilitate podocytopathy research and translate into clinical diagnosis. Key pointsO_LIWe leveraged U-Net architecture in an algorithm to measure the widths of glomerular basement membrane and podocyte foot processes. C_LIO_LIDeep learning-based automated measurement of glomerular filtration barrier morphology has promise in podocytopathy research and diagnosis. C_LI

pathology↗

PTBP1 mediates Sertoli cell actin cytoskeleton organization by regulating alternative splicing of actin regulators

Spermatogenesis is a biological process within the testis that produces haploid spermatozoa for the continuity of species. Sertoli cells are somatic cells in the seminiferous epithelium that orchestrate spermatogenesis. Cyclic reorganization of Sertoli cell actin cytoskeleton is vital for spermatogenesis, but the underlying mechanism remains largely unclear. Here, we report that RNA-binding protein PTBP1 controls Sertoli cell actin cytoskeleton reorganization by programming alternative splicing of actin cytoskeleton regulators. This splicing control enables ectoplasmic specializations, the actin-based adhesion junctions, to maintain the blood-testis barrier and support spermatid transport and transformation. Particularly, we show that PTBP1 promotes actin bundle formation by repressing the inclusion of exon 14 of Tnik, a kinase present at the ectoplasmic specialization. Our results thus reveal a novel mechanism wherein Sertoli cell actin cytoskeleton dynamics is controlled post-transcriptionally by utilizing functionally distinct isoforms of actin regulatory proteins, and PTBP1 is a critical regulatory factor in generating such isoforms.

molecular biology↗

circRNA-miRNA-mRNA networks reveal a proangiogenic action of circNPHP1 in human ischemic heart disease

BackgroundIschemic heart disease (IHD) is characterized by insufficient myocardial blood flow in the left ventricle and aggravated by diabetes mellitus. Endothelial resilience and reparative angiogenesis are tightly controlled processes. Gene expression is regulated by multimodal interactions between RNA species. Circular RNAs (circRNAs) can sponge microRNAs (miRNAs) to reduce the repressive effects of miRNAs on its messenger RNA (mRNAs) targets. MethodsLeft ventricle whole RNA-sequencing (circRNAs, mRNAs) and small RNA- sequencing (miRNAs) datasets were obtained from 3 patient groups: IHD with/out T2DM and controls (N=11 to 12/group) as part of a prospective observational cardiac surgery study. The interactions between differentially expressed (DE) circRNAs, miRNA and mRNAs were identified with a customized bioinformatics pipeline. The emerging networks were screened using endothelial-specific RNA-sequencing datasets from GEO resulting in EC-rich networks. CircRNAs from these networks were subsequently screened (RT-PCR) in endothelial cells (ECs) exposed to disease-mimicking conditions vs control. Afterwards, circRNA pulldown allowed to interrogate the circRNA-miRNAs interactome in ECs. EC biology assays using loss-of-function and gain-of-function approaches corroborated the study. ResultsWe identified novel circRNA-miRNA-mRNA interactions in the human diseased heart. CircNPHP1, which is upregulated in IHD with/out Type-2 diabetes mellitus (T2DM), sponges miR-221-3p to de-repress VEGF-A and BCL2, increasing the angiogenic capacity of ECs under disease and disease-mimicking conditions. ConclusionsThe interactions between individual members of different RNA species are affected by IHD. The therapeutic value of circNPHP1/miR-221-3p axis could be further investigated. Visual Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=61 SRC="FIGDIR/small/597402v2_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@18a3b0forg.highwire.dtl.DTLVardef@2b5dc1org.highwire.dtl.DTLVardef@11848c3org.highwire.dtl.DTLVardef@1511c9e_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIWe found a novel circRNA-miRNA-mRNA network in IHD and Type 2 diabetes. C_LIO_LICircNPHP1 regulates angiogenesis and proliferation in the cardiac ECs exposed to conditions mimicking IHD and Type 2 diabetes. C_LIO_LIWe elucidated a novel pro-angiogenic subnetwork commanded by circNPHP1/miR-221-3p/BCL2/VEGFA. C_LIO_LIWe identified circNPHP1 as a potential new target for therapeutic angiogenesis. C_LI

cell biology↗

Comparison of therapeutic effects between pulsed field ablation and cryoballoon ablation in the treatment of atrial fibrillation: a systematic review and me-ta-analysis

BackgroundPulmonary vein isolation (PVI) is the cornerstone of atrial fibrillation (AF) ablation surgery. Cryoballoon ablation (CBA), a conventional thermal ablation technique, enjoys widespread clinical application. In contrast, Pulsed field ablation (PFA) is a novel non thermal ablation technique for the treatment of atrial fibrillation (AF) patients, with safety comparable to traditional thermal ablation surgery. The present study aims to evaluate and compare the procedural efficiency and safety profiles of PFA and CBA in the management of AF. MethodWe performed a systematic search across PubMed, the Cochrane Library, and Embase databases, encompassing the literature up to February 2024, to inform our systematic review and meta-analysis. When assessing outcome indicators, the risk ratio (RR) and its corresponding 95% confidence interval (CI) were calculated for dichotomous variables. For continuous variables, the mean difference (MD) and the associated 95% CI were determined. In this context, an RR less than 1 and an MD less than 0 were considered advantageous for the PFA group. ResultIn this analysis, nine observational studies encompassing 2,875 patients with AF were included. Among these, 38% (n=1105) were treated with PFA, while 62% (n=1,770) received CBA. The results indicated that PFA was associated with a significantly shorter surgical duration compared to CBA, with a mean difference (MD) of -10.49 minutes (95% CI [-15.50, -5.49]; p<0.0001). Additionally, the PFA group exhibited a reduced risk of perioperative complications relative to the CBA group, with a risk ratio (RR) of 0.52 (95% CI 0.30-0.89; p=0.02). Nevertheless, no statistically significant differences were observed when comparing the two treatment cohorts concerning fluorescence irradiation time (MD 0.71; 95% CI [-0.45, 1.86]; p=0.23) and the recurrence of atrial arrhythmias during follow-up (RR 0.95; 95% CI 0.78-1.14; p=0.57). ConclusionThe outcomes of this investigation reveal that PFA holds a relative advantage over CBA in certain respects, notably by reducing both surgical duration and the incidence of perioperative complications. However, no significant distinction was identified between the two modalities concerning the duration of fluorescence irradiation or the rate of atrial arrhythmia recurrence. To enhance the robustness of these estimates, further research is needed, especially by incorporating additional randomized controlled trials.

physiology↗

An integrative single-cell atlas to explore the cellular and temporal specificity of neurological disorder genes during human brain development

Single-cell technologies have enhanced comprehensive knowledge regarding the human brain by facilitating an extensive transcriptomic census across diverse brain regions. Nevertheless, understanding the cellular and temporal specificity of neurological disorders remains ambiguous due to the developmental variations. To address this gap, we illustrated the dynamics of disorder risk gene expressions under development by integrating multiple single-cell RNA sequencing datasets. We constructed a comprehensive single-cell atlas of developing human brains, encompassing 393,060 single cells across diverse developmental stages. Temporal analysis revealed the distinct expression patterns of disorder risk genes, including autism, highlighting their temporal regulation in different neuronal and glial lineages. We identified distinct neuronal lineages diverged across developmental stages, each exhibiting temporal-specific expression patterns of disorder genes. Lineages of non-neuronal cells determined by molecular profiles also showed temporal-specific expressions, indicating a link between cellular maturation and the risk of disorder. Furthermore, we explored the regulatory mechanisms involved in early brain development, revealing enriched patterns of fetal cell types for neuronal disorders, indicative of the prenatal stages influence on disease determination. Our findings facilitate unbiased comparisons of cell type-disorder associations and provide insight into dynamic alterations in risk genes during development, paving the way for a deeper understanding of neurological disorders.

neuroscience↗

Turnover of RNA-binding Proteins and MicroRNAs by intrinsically disordered region-directed ZSWIM8 ubiquitin ligase during brain development

Widely present in mammalian proteomes, intrinsically disordered regions (IDRs) in proteins play important biological functions by conferring structural flexibility and mediating biomolecular interactions. IDR-containing proteins, including many RNA-binding proteins (RBPs), are prone to misfolding and aggregation and must be constantly monitored. Here we show that the conserved ZSWIM8-type Cullin-RING ubiquitin ligase (CRLZSWIM8) is a master regulator of such proteins during brain development. ZSWIM8 selects its substrates via an IDR-dependent mechanism, and deletion of ZSWIM8 causes aberrant accumulation of numerous RBPs including AGO2 and ELAV1 in neonatal brains. Furthermore, AGO2 ubiquitination by ZSWIM8 is triggered by microRNA binding, leading to target-directed microRNA degradation (TDMD) of MiR7. Dysregulation of MiR7 in the absence of ZSWIM8 results in defects in oligodendrocyte maturation and functions. Together, our findings have demonstrated that, by utilizing variable target-recognition strategies, ZSWIM8 controls the abundance of conformationally flexible RBPs and miRNA metabolism that are essential for brain development. TeaserA conserved ubiquitin ligase controls the quality of disordered proteins to ensure brain development.

developmental biology↗

Contrasting Phyllosphere Mycobiome in two Lycopodiaceae Plant Species: Unraveling Potential HupA-Producing Fungi and Fungal Interactions

BackgroundHuperzine A (HupA) is a natural lycopodium alkaloid renowned for its efficacy in treating neurodegenerative diseases such as Alzheimers disease. It specifically occurs in the Huperzioideae subfamily of Lycopodiaceae. Fungi associated with Huperzioideae species are potential contributors to HupA biosynthesis, offering promising prospects for HupA production. However, limited knowledge of fungal diversity in lycophytes, coupled with decreased HupA production over time of fungal strains, has impeded the discovery and applications of HupA-producing fungi. Here, we investigated huperzine concentrations and the mycobiome across various tissues of two Lycopodiaceae species, Huperzia asiatica (a HupA producer) and Diphasiastrum complanatum (a non-HupA producer). Our objectives across the tissues of the two species are to unveil the distribution of potential HupA-producing fungi and elucidate fungal interactions within the mycobiome, aiming to uncover the role of HupA-producing fungi and pinpoint their potential fungal facilitators. ResultsAmong the tissues, H. asiatica exhibited the highest HupA concentration in apical shoots (360.27 g/ml) whereas D. complanatum showed no HupA presence in any tissue. We obtained 441 Amplicon Sequence Variants (ASVs) from H. asiatica and 497 ASVs from D. complanatum. The fungal communities in bulbils and apical shoots of H. asiatica were low in diversity and dominated by Sordariomycetes, a fungal class harboring the majority of reported HupA-producing fungi. Integrating bioinformatics with published experimental reports, we identified 27 potential HupA-producing fungal ASVs, primarily in H. asiatica, with 12 ASVs identified as hubs in the fungal interaction network, underscoring their pivotal roles in mycobiome stability. Members of certain fungal genera, such as Penicillium, Trichoderma, Dioszegia, Exobasidium, Lycoperdon and Cladosporium exhibited strong connections with the potential HupA producers in H. asiaticas network rather than in D. complanatums, implying their prospects as fungal facilitators in enhancing HupA production. ConclusionsThis study advances our knowledge of fungal diversity in Lycopodiaceae and provides insights into the search for potential HupA-producing fungi and fungal facilitators. It highlights the importance of exploring young tissues, and emphasizes the ecological interactions that promote the fungi-mediated production of complex bioactive compounds, offering new directions for research in fungal ecology and secondary metabolite production.

microbiology↗

Identification of functional genes underlining growth in large yellow croaker

Large yellow croaker (Larimichthys crocea) is the largest cultured marine fish in China, although its economic benefits are significant, its growth cycle is long and it takes 2 years to market. Identification of genomic variations and genes affecting the growth of L. crocea is of great significance for breeding fast-growing strains by molecular means. We utilized whole genome resequencing to identify a highly effective GWAS locus on chromosome 6 of the genome, and identified some candidate genes that affect growth. This study provides a theoretical basis for analyzing the genetic mechanism of growth traits of L. crocea and cultivating fast-growing varieties.

genetics↗

A minimal sequence motif drives selective tRNA dihydrouridylation by hDUS2

The post-transcriptional reduction of uridine to dihydrouridine (D) by dihydrouridine synthase (DUS) enzymes is among the most ubiquitous transformations in RNA biology. D is found at multiple sites in tRNAs and studies in yeast have proposed that each of the four eukaryotic DUS enzymes modifies a different site, however the molecular basis for this exquisite selectivity is unknown and human DUS enzymes have remained largely uncharacterized. Here we investigate the substrate specificity of human dihydrouridine synthase 2 (hDUS2) using mechanism-based crosslinking with 5-bromouridine (5-BrUrd)-modified oligonucleotide probes and in vitro dihydrouridylation assays. We find that hDUS2 modifies U20 in the D loop of diverse tRNA substrates and identify a minimal GU motif within the tRNA tertiary fold required for directing its activity. Further, we use our mechanism-based platform to screen small molecule inhibitors of hDUS2, a potential anti-cancer target. Our work elucidates the principles of substrate modification by a conserved DUS and provides a general platform to studying RNA modifying enzymes with sequence-defined activity-based probes.

biochemistry↗

omicsMIC: a Comprehensive Benchmarking Platform for Robust Comparison of Imputation Methods in Mass Spectrometry-based Omics Data

Mass spectrometry is a powerful and widely used tool for generating proteomics, lipidomics, and metabolomics profiles, which is pivotal for elucidating biological processes and identifying biomarkers. However, missing values in spectrometry-based omics data may pose a critical challenge for the comprehensive identification of biomarkers and elucidation of the biological processes underlying human complex disorders. To alleviate this issue, various imputation methods for mass spectrometry-based omics data have been developed. However, a comprehensive and systematic comparison of these imputation methods is still lacking, and researchers are frequently confronted with a multitude of options without a clear rationale for method selection. To address this pressing need, we developed omicsMIC (mass spectrometrybased omics with Missing values Imputation methods Comparison platform), an interactive platform that provides researchers with a versatile framework to simulate and evaluate the performance of 28 diverse imputation methods. omicsMIC offers a nuanced perspective, acknowledging the inherent heterogeneity in biological data and the unique attributes of each dataset. Our platform empowers researchers to make data-driven decisions in imputation method selection based on real-time visualizations of the outcomes associated with different imputation strategies. The comprehensive benchmarking and versatility of omicsMIC make it a valuable tool for the scientific community engaged in mass spectrometry-based omics research. OmicsMIC is freely available at https://github.com/WQLin8/omicsMIC.

bioinformatics↗

Extraordinary preservation of gene collinearity over three hundred million years revealed in homosporous lycophytes

Homosporous lycophytes (Lycopodiaceae) are a deeply diverged lineage in the plant tree of life, having split from heterosporous lycophytes (Selaginella and Isoetes) [~]400 million years ago (MYA). Compared to the heterosporous lineage, Lycopodiaceae has markedly larger genome sizes and remains the last major plant clade for which no genomic data has been available. Here, we present chromosomal genome assemblies for two homosporous lycophyte species, the allotetraploid Huperzia asiatica and the diploid Diphasiastrum complanatum. Remarkably, despite that the two species diverged [~]350 MYA, around 30% of the genes are still in syntenic blocks. Furthermore, both genomes had undergone independent whole genome duplications and the resulting intra-genomic syntenies have likewise been preserved relatively well. Such slow genome evolution over deep time is in stark contrast to heterosporous lycophytes and is correlated with a decelerated rate of nucleotide substitution. Together, the genomes of H. asiatica and D. complanatum not only fill a crucial gap in the plant genomic landscape, but also uncover a possibly unique genomic contrast between homosporous and heterosporous species.

genomics↗

A combined computational-biochemical approach offers an accelerated path to membrane protein solubilization

Membrane proteins are difficult to isolate and purify due to their dependence on the surrounding lipid membrane for structural stability. Detergents are often used to solubilize these proteins, with this approach requiring a careful balance between protein solubilization and denaturation. Determining which detergent is most appropriate for a given protein has largely been done empirically through screening, which requires large amounts of membrane protein and associated resources. Here we describe an alternative to conventional detergent screening using a computational modeling approach to identify the most likely candidate detergents for solubilizing a protein of interest. We demonstrate our approach using ghrelin O-acyltransferase (GOAT), a member of the membrane-bound O-acyltransferase (MBOAT) family of integral membrane enzymes that has not been solubilized or purified in active form. A computationally derived GOAT structural model provides the only structural information required for this approach. Using computational analysis of detergent ability to penetrate phospholipid bilayers and stabilize the GOAT structure, a panel of common detergents were rank ordered for their proposed ability to solubilize GOAT. Independently, we biologically screened these detergents for their solubilization of fluorescently tagged GOAT constructs. We found computational prediction of protein structural stabilization was the better predictor of detergent solubilization ability, but neither approach was effective for predicting detergents that would support GOAT enzymatic function. The current rapid expansion of membrane protein computational models lacking experimental structural information and our computational detergent screening approach can greatly improve the efficiency of membrane protein detergent solubilization supporting downstream functional and structural studies.

biochemistry↗

Haplotype-phased genome revealed the butylphthalide biosynthesis and hybrid origin of Ligusticum chuanxiong

Butylphthalide, one type of phthalides, is one of the first-line drugs for ischemic stroke therapy, while no enzyme involved in its biosynthesis pathway has been reported. Here, we present the first haplotype-resolved genome of Ligusticum chuanxiong Hort., a long-cultivated and phthalide-rich medicinal plant in Apiaceae. Based on comprehensive candidate gene screening, four Fe (II)- and 2-oxoglutarate-dependent dioxygenases (2OGDs) and two CYPs were mined and further biochemically verified as phthalide C-4/C-5 desaturase (P4,5Ds) that converts senkyunolide A to l-n-butylphthalide (l-NBP) and ligustilide to butylidenephthalide. The substrate promiscuity and functional redundancy featured for P4,5Ds may contribute to the high phthalide diversity in L. chuanxiong. Notably, comparative genomic evidence supported L. chuanxiong as a diploid hybrid with L. sinense as a potential parent. The two haplotypes demonstrated exceptional structure variance and diverged around 3.42 million years ago (Ma). Our study is an icebreaker for the dissection of phthalide biosynthesis pathway and reveals the hybrid origin of L. chuanxiong. These findings will facilitate the future metabolic engineering for l-NBP production and breeding efforts for L. chuanxiong.

synthetic biology↗

Lactylation-driven FTO-mediated m6A modification of CDK2 aggravates diabetic microvascular anomalies

Diabetic retinopathy (DR) is a leading cause of irreversible vision loss in working-age populations. FTO is an N6-methyladenosine (m6A) demethylase that participates in various biological events, while its role in DR remains elusive. Herein, we detected elevated FTO expression in retinal proliferative membranes of DR patients. FTO promoted endothelial cell (EC) cell cycle progression and tip cell formation to facilitate angiogenesis in vitro, in mice and in zebrafish. FTO also regulated EC-pericyte crosstalk to trigger diabetic microvascular leakage, and mediated EC-microglia interactions to induce retinal inflammation and neurodegeneration in vivo and in vitro. Mechanistically, FTO affected EC features via modulating CDK2 mRNA stability in an m6A-YTHDF2-dependent manner. FTO up-regulation under diabetic conditions was driven by lactate mediated histone lactylation. FB23-2, an inhibitor to FTOs m6A demethylase activity, suppressed angiogenic phenotypes in vivo and in vitro. Noteworthy, we developed a nanoplatform encapsulating FB23-2 for systemic administration, and confirmed its targeting and therapeutic efficiencies in mice. Collectively, our study demonstrated that FTO coordinates EC biology and retinal homeostasis in DR, providing a promising nanotherapeutic approach for DR.

cell biology↗

Reprogramming of lipid secretome in senescent synovial fibroblasts ameliorate osteoarthritis development

Osteoarthritis (OA) is one of the most common causes of physical disability among older people and its incidence increases with age. Removal of the senescent cells (SNCs) delays OA pathologies, but little is known about the SNCs in OA synovium and their roles in OA pathogenesis. Here, we reported that RCAN1+IL1+ double-positive cells represent a senescent subset of synovial fibroblasts which accelerate cartilage degeneration via saturated fatty acids (SFAs). Using single-cell RNA sequencing and synovial organoids, we found that IL1+ senescent synovial fibroblasts mainly located at lining layer of human OA synovium and promote cartilage degeneration. We performed genome-wide CRISPR/Cas9 screens to identify novel regulators of cell-surface bounded IL1 in senescent cells. RCAN1, which was a hit as positive regulator of IL1, governs the cellular senescence and pro-degenerative senescence-associated secretory phenotype (SASP). Mechanistically, we found that RCAN1 mediated the secretion of SFAs from senescent synovial fibroblasts, which promote chondrocytes senescence and cartilage matrix degradation. Intra-articular delivery of synovium-targeted anti-Rcan1 siRNA ameliorates the development of post-traumatic OA in mice, while reducing of SNCs accumulation in synovium and increasing cartilage regeneration. Last, co-culture experiments of human OA cartilage explant with synovial organoids confirmed that RCAN1 silencing in human synovial fibroblasts suppressed chondrocyte senescence and cartilage degradation. Thus, our study revealed a pro-degenerative interaction between RCAN1+IL1+ senescent synovial fibroblasts and chondrocytes through secreted lipid mediators in OA progression. And targeted RCAN1 inhibition in senescent synovium is a promising approach for restore the joint homeostasis.

pathology↗