Biology subjects

Du, J.

Publications and source records attributed to Du, J..

At least 91 records · Page 5Linked to original sources

bioRxiv2025

Dysregulated Proline Metabolism Contributes to Subretinal Fibrosis in Neovascular AMD: Therapeutic Potential of Prolyl-4-Hydroxylase Inhibition

Subretinal fibrosis, a major cause of irreversible vision loss in neovascular age-related macular degeneration (nAMD), is driven by excessive deposition of extracellular matrix such as collagens. While proline metabolism is known to play a critical role in collagen biosynthesis and fibrosis, its involvement in subretinal fibrosis remains unclear. Here, we characterized the progression of fibrovascular lesions in JR5558 mice, observing significant molecular alterations as early as 4 weeks of age and phenotypic changes by 8 weeks. Transcriptomic and metabolomic analyses revealed elevated levels of 4-hydroxyproline, an essential component of collagen, alongside significant alterations of other fibrosis-related pathways. P4HA1, a catalytic subunit of prolyl-4-hydroxylase essential for 4-hydroxyproline biosynthesis, was prominently expressed in fibrotic lesions in retinas of JR5558 and two-stage laser-induced murine models, as well as human eyes with nAMD. Targeting P4HA1 with the small-molecule inhibitor diethyl pythiDC significantly attenuated fibrovascular lesion growth in the JR5558 murine models and reduced collagen turnover in human retinal pigment epithelium cells. Combining diethyl pythiDC with aflibercept had a stronger antifibrotic effect than monotherapies in JR5558 mice. These findings suggest a key contribution of proline metabolism, particularly proline hydroxylation, in subretinal fibrosis. Inhibiting P4HA1 with diethyl pythiDC inhibited fibrosis in the models we studied, offering a novel therapeutic strategy. Further research is warranted to explore the potential benefits of combining existing anti-angiogenic therapies with drugs that inhibit proline metabolism for the management of nAMD-associated fibrosis.

neuroscience↗

bioRxiv2025

Palmdelphin facilitates R-spondin2 secretion to activate Wnt signaling and promote colorectal cancer stemness and tumorigenesis

The Wnt signaling pathway is a key driver of stemness and progression which contributes to mortality in colorectal cancer (CRC). R-spondins bind to LGR receptors to inhibit ubiquitin E3 ligases, thus protecting Frizzled from degradation and activating downstream Wnt signaling. Herein, we identify Palmdelphin (PALMD) as a functional marker of CRC stem cells, interspersed between intestinal and colonic crypt base epithelial cells, and predictive of aggressive CMS4 CRC and poor survival. Gene knockdown and overexpression studies revealed that PALMD initiates paracrine activation of Wnt/{beta}-catenin signaling via interacting with and facilitating the secretion of R-spondin2 (RSPO2), resulting in enhanced stemness and tumor growth in vitro and in vivo. Physiologic or pharmacologic inhibition of the PALMD-RSPO2 axis using R-spondin2-specific antibody or 6-methyl-1,3,8-trihydroxyanthraquinone (emodin), respectively, attenuates PALMD- mediated Wnt reporter activation, self-renewal, and tumorigenesis in cell and patient-derived organoid models. Together, these findings identify PALMD as a previously unknown player in Wnt signaling in CRC, and underscore the pro-tumorigenic role of R-spondin2 in this context.

cancer biology↗

bioRxiv2025

Spatial Transcriptomics Unveils the Blueprint of Mammalian Lung Development

Mammalian lung development is a complex, highly orchestrated process involving the precise coordination of diverse cell types. Despite significant advances, the spatial gene expression patterns and regulatory mechanisms within the developmental niches of different lung structures remain incompletely understood. In this study, we present a comprehensive spatial transcriptomic atlas of mouse lung development, spanning from the early pseudoglandular to the alveolar stage. We further uncover transcription factor (TF) regulation landscapes by integrating spatial epigenome, including novel TF-eRegulons critical for epithelial progenitors during early lung development. Our analysis also identifies hundreds of spatiotemporally dynamic cell-cell communications, such as BMP8B-mediated ligand-receptor signaling enriched in airway branching. Notably, we delineate the distinct developmental trajectories of alveolar AT1 and AT2 cells and reveal that collagen pathways facilitate their spatial convergence, forming primary alveoli during the canalicular-saccular transition. Together, this spatial transcriptomic atlas provides a foundational resource for understanding the complex cellular and molecular orchestration underlying mammalian lung development.

developmental biology↗

bioRxiv2025

Spatial transcriptomics AI agent charts hPSC-pancreas maturation in vivo

Spatial transcriptomics has revolutionized our understanding of tissue organization by simultaneously capturing gene expression and spatial localization within intact tissues. However, analyzing these increasingly complex datasets requires specialized expertise across computational biology, statistics, and biological context. To address this challenge, we introduce the Spatial Transcriptomics AI Agent (STAgent), an autonomous multimodal agentic AI that integrates multimodal large language models (LLMs) with specialized computational tools to transform weeks-long analysis tasks into minutes of automated processing. Unlike conventional machine learning approaches that are limited to narrow, predefined tasks, STAgent leverages the emergent capabilities of multimodal LLMs - such as flexible reasoning, contextual understanding, and cross-modal integration - which allow it to adapt to novel data, execute multi-step analyses, and generate biologically meaningful insights with minimal human input. STAgent enables autonomous deep research through integrated capabilities, including dynamic code generation for complex analytical workflows, visual reasoning for interpreting spatial patterns, real-time retrieval of relevant peer-reviewd scientific literature, and synthesis of comprehensive, actionable reports. We applied STAgent to investigate the in vivo maturation of human stem cell-derived pancreatic cells (SC-pancreas) transplanted into immunodeficient mice. We generated single-cell spatial transcriptomics data spanning multiple developmental timepoints. STAgent autonomously (1) identified the maturation of initially scattered endocrine cells into well-defined islet-like structures, with predominantly peripheral -cells surrounding {beta}-cell cores supported by an expanding mesenchymal network; (2) revealed strengthening endocrine-endocrine cell interactions over time and, through context-aware gene set analysis, uncovered spatially resolved biological processes driving maturation; (3) unlike traditional analytical approaches, STAgent offers mechanistic explanations of spatial patterns, contextualizing findings with relevant literatures and developing cohesive insights into human pancreatic development. This agentic approach establishes a new paradigm in spatial transcriptomics analysis by substantially lowering the expertise barrier and reducing analysis time, accelerating biological and biomedical discovery.

genomics↗

bioRxiv2025

Dentification of the Sorghum TMCO Gene Family and Differential Expression Analysis Under Aphid Infestation

The three-domain multicopper oxidase (TMCO) family, the largest subfamily of multicopper oxidases, plays a crucial role in plant growth, development, and responses to biotic stresses. To investigate the expression characteristics of the SbTMCO gene family under aphid infestation, a genome-wide identification and analysis of TMCO family members in sorghum were conducted using bioinformatics methods. Transcriptome data and qRT-PCR were utilized to preliminarily examine sorghums responses to aphid stress. The results revealed 42 TMCO genes in the sorghum genome, distributed across 10 chromosomes and classified into five subgroups. Members within the same subgroup displayed similar physicochemical properties, gene structures, and conserved motifs. Collinearity analysis suggested that tandem duplication and segmental duplication were the primary drivers of TMCO gene expansion in sorghum. Cis-acting element analysis identified multiple jasmonic acid (MeJA) and abscisic acid (ABA) responsive elements among SbTMCO genes. Gene expression analysis, based on RNA-seq and qRT-PCR, confirmed the relative expression levels of TMCO genes under aphid stress. This study establishes a foundation for exploring the anti-aphid functions of SbTMCO genes and provides recommendations and directions for further research on this gene family.

molecular biology↗

bioRxiv2025

SynBioGPT: A Retrieval-Augmented Large Language Model Platform for AI-Guided Microbial Strain Development

Synthetic biology seeks to engineer microbial cell factories for sustainable bioproduction, yet the optimization of these systems is impeded by the complexity of metabolic engineering and the protracted timelines of iterative design-build-test-learn (DBTL) cycles. Traditional computational approaches, such as constraint-based modeling, provide valuable insights but demand extensive manual curation. Large language models (LLMs) hold promises for automating knowledge extraction and strain design, yet conventional models like GPT-4 suffer from outdated corpora and hallucination errors in domain-specific tasks. SynBioGPT v1.0, a Retrieval-Augmented Generation (RAG)-enhanced LLM, enhanced knowledge retrieval using vector search but often retrieved semantically similar yet contextually irrelevant documents. Here, we introduce SynBioGPT v2.0 (https://synbiogpt.biodesign.ac.cn), which mitigates these limitations by decomposing queries into sub-questions and employing keyword-based searches. Tested on a 100-question synthetic biology benchmark, SynBioGPT v2.0 achieved 98% accuracy with the Claude-3.7-sonnet backend, a 10% improvement over v1.0s 88% with Llama3-8B-Instruct. This advance highlight the efficacy of query decomposition and precise retrieval in enhancing LLM utility for synthetic biology.

synthetic biology↗

bioRxiv2025

Chromatin remodeling integrates vertebrate body axis elongation and cell fate determination

The effective elongation of the vertebrate body axis depends on the precise coordination of cell movements and cell fate determination within the posterior tailbud region. However, the specific biological determinant that integrates these cellular processes during vertebrate tail bud elongation has remained unclear. Here, we demonstrate that the spatiotemporal heterogeneity of chromatin condensation states governs both cell fate and cell motility within the mesodermal progenitor zone (MPZ) and the presomitic mesoderm (PSM) during zebrafish tail bud elongation. By integrating biological experiments with computational modeling, we reveal that nuclear volume heterogeneity, mediated by chromatin remodeling, acts as an active driver of collective cell migration. Reducing chromatin condensation heterogeneity in the MPZ through modulation of chromatin modifications impairs collective cell movements and delays tailbud elongation. Single cell ATAC-seq and RNA-seq analyses reveal that global chromatin accessibility heterogeneity and region-specific chromatin remodeling differences in the PSM and MPZ are functionally associated with gene expression pathways involving in cell lineage specification. These findings establish a molecular connection between cell fate determination and tissue-scale cellular dynamics. Collectively, our findings unveil a unifying framework for understanding the coordination of cell fate determination and large-scale cellular movements during tissue morphogenesis.

developmental biology↗

bioRxiv2025

Comparative analysis of human and mouse ovaries across age

Mouse is a tractable model for human ovarian biology, however its utility is limited by incomplete understanding of how transcription and signaling differ interspecifically and with age. We compared ovaries between species using 3D-imaging, single-cell transcriptomics, and functional studies. In mice, we mapped declining follicle numbers and oocyte competence during aging; in human ovaries, we identified cortical follicle pockets and density changes. Oocytes had species-specific gene expression patterns during growth that converged toward maturity. Age-related transcriptional changes were greater in oocytes than granulosa cells across species, although mature oocytes change more in humans. We identified ovarian sympathetic nerves and glia; nerve density increased in aged human ovaries and, when ablated in mice, perturbed folliculogenesis. This comparative atlas defines shared and species-specific hallmarks of ovarian biology.

genomics↗

bioRxiv2025

Within-Individual Precision Mapping of Brain Networks Exclusively Using Task Data

Precision mapping of brain networks within individuals has become a widely used tool that prevailingly relies on functional connectivity analysis of resting-state data. Here we explored whether networks could be precisely estimated solely using data acquired during active task paradigms. The straightforward strategy involved extracting residualized data after application of a task-based general linear model (GLM) and then applying standard functional connectivity analysis. Functional correlation matrices estimated from task data were highly similar to those derived from traditional resting-state fixation data. The largest factor affecting similarity between correlation matrices was the amount of data. Networks estimated within-individual from task data displayed strong spatial overlap with those estimated from resting-state fixation data and predicted the same triple functional dissociation in independent data. The implications of these findings are that (1) existing task data can be reanalyzed to estimate within-individual network organization, (2) restingstate fixation and task data can be pooled to increase statistical power, and (3) future studies can exclusively acquire task data to both estimate networks and extract task responses. Most broadly, the present results suggest that there is an underlying, stable network architecture that is idiosyncratic to the individual and persists across task states.

neuroscience↗

bioRxiv2025

Streptococcus mutans LiaS gene regulates its cross-kingdom interactions with Candida albicans to promote oral candidiasis

Candida albicans and Streptococcus mutans are commonly associated with oral candidiasis and dental caries, respectively. C. albicans is frequently detected in the dental plaque of early childhood caries. The synergistic interaction between C. albicans and S. mutans in dental caries suggests that fungi enhance the production of acidic metabolites and contributes to the development of caries. However, the cross-kingdom interaction of S. mutans in oral candidiasis and the pathways regulating hyphal formation remain unclear. The liaS gene of S. mutans 593 plays a crucial role in maintaining membrane homeostasis. In comparison to the S. mutans 593 and liaS- complementary strains, the liaS- strain significantly diminished the proliferation, biofilm formation, extracellular polysaccharide production, and C. albicans hyphal transformation of co-cultured microorganisms. The deletion of liaS gene in the dual-species downregulated the expression of yeast-hyphal transformation related genes hwp1, ece1, als1, and als3 in C. albicans, while also impacted the expression of phr1 and phr2. Additionally, liaS- inhibited glycolysis and pyruvate kinase activity in S. mutans, leading to a decreased in water-soluble and water-insoluble glucans production in biofilm. The significant downregulation of glucosyltransferase transcription relates genes expression in liaS- resulted in inhibition of the cross-kingdom interaction in the dual-species. In the murine oropharyngeal candidiasis model, dual-species infection with liaS- results in a reduction of fungal and hyphal invasion compared to the combinations of C. albicans and S. mutans 593. In conclusion, S. mutans/liaS play a crucial role in the development of oral candidiasis suggests that it could be a targeted strategy for managing this condition. ImportanceCandidiasis involves the transition of C. albicans into hyphae and the fungi invasion of the oropharyngeal mucosa. The transformation of hyphal is influenced by a variety of internal and external environmental factors. Our research findings suggest that the deletion of the liaS gene leads to a reduction in gtfs gene expression, impacting glycolysis efficiency and effectively decreasing EPS production in the dual-species biofilm. Also, downregulation of the expression levels of yeast-hyphal transformation related genes to inhibiting the virulence function of C. albicans. Our study demonstrates that S. mutans 593/liaS promotes epithelial invasion of C. albicans in mouse oropharyngeal candidiasis, offering a potential therapeutic approach for addressing cross-kingdom infections.

microbiology↗

bioRxiv2025

Spike sorting AI agent

Spike sorting is a fundamental process for decoding neural activity, involving preprocessing, spike detection, feature extraction, clustering, and validation. However, conventional spike sorting methods are highly fragmented, labor-intensive, and heavily reliant on expert manual curation, limiting their scalability and reproducibility. This challenge has become more pressing with advances in neural recording technology, such as high-density Neuropixels for large-scale neural recording or flexible electrodes for long-term stable recording over months to years. The volume and complexity of these datasets make manual curation infeasible, requiring an automated and scalable solution. Here, we introduce SpikeAgent, a multimodal large language model (LLM)-based AI agent that automates and standardizes the entire spike sorting pipeline. Unlike traditional approaches, SpikeAgent integrates multiple LLM backends, coding functions, and established algorithms, autonomously performing spike sorting with reasoning-based decision-making and real-time interaction with intermediate results. It generates interpretable reports, providing transparent justifications for each sorting decision, enhancing transparency and reliability. We benchmarked SpikeAgent against human experts across various neural recording technology, demonstrating its versatility and ability to achieve curation consistency that are equal to, or even higher than human experts. It also drastically reduces the expertise barrier and accelerates the curation and validation time by orders of magnitude. Moreover, it enables automated interpretability of the neural spiking data, which cannot be achieved by any conventional methods. SpikeAgent presents a paradigm shift in processing signals for neuroscience and brain-computer interfaces, while laying the ground for AI agent-augmented science across various domains.

neuroscience↗

bioRxiv2025

Convergent Agonist and Heat Activation of Nociceptor TRPM3

Detecting noxious heat is vital for survival, triggering pain responses that protect against harm1,2. The TRPM3 channel is a key nociceptor for sensing noxious heat and a promising therapeutic target for pain treatment and neurological disorders such as epilepsy3-11. Here, we functionally and structurally characterized TRPM3 in response to diverse stimuli: the synthetic superagonist CIM0216 Ref12, the anticonvulsant antagonist primidone13,14, and heat1,10,15. Our findings reveal that TRPM3 is intrinsically dynamic, with its intracellular domain (ICD) sampling both resting and activated states, though strongly favoring the resting state without stimulation. CIM0216 binds to the S1-S4 domain, inducing conformational changes in the ICD and shifting the equilibrium toward activation. Remarkably, heat induces similar ICD rearrangements, revealing a converged activation mechanism driven by chemical compounds and temperature. This mechanism is supported by functional data showing that mutations facilitating the ICD movement markedly increase the sensitivity of TRPM3 to both chemical and thermal signals. These findings establish a critical role of the ICD in temperature sensing in TRPM3, a mechanism likely conserved across the TRPM family. Finally, we show that primidone binds to the same site as CIM0216 but acts as an antagonist. This study provides a framework for understanding the thermal sensing mechanisms of temperature-sensitive ion channels and offers a structural foundation for developing TRPM3-target therapeutics for pain and neurological disorders.

biophysics↗

bioRxiv2025

Lower spatial turnover of rare fungal taxa dominantly shaped by stochastic processes in grassland soils

The spatial pattern and community assembly of soil microbial taxa have notable meanings for biodiversity shaping and maintaining mechanisms. Rare fungal taxa may exhibit distinct patterns and assembly mechanisms compared to abundant taxa, but such information is limited, especially at large scales. Here, we investigated distance-decay patterns and underlying assembly mechanisms for abundant and rare fungal taxa in 129 soil samples collected across 4,000 km in Chinese Northern grasslands, based on high-throughput sequencing data. A total of 208 abundant OTUs (relative abundance > 0.1%, 2.73% of entire OTUs) and 5,779 rare OTUs (relative abundance < 0.01%, 75.85% of entire OTUs) were identified. Both abundant and rare fungal taxa showed significant distance-decay relationships (P < 0.001), but the turnover rate for rare taxa (0.0024 per 100 km) was nearly half that of abundant taxa (0.0054 per 100 km) based on the binary Bray-Curtis distance. The lower turnover of rare fungal taxa was likely due to their community assembly mechanism dominated by stochastic processes, which were less influenced by environmental gradients. In contrast, abundant taxa assembly was dominated by deterministic factors like soil variables and plant traits, which varied significantly along the geographic distance. Consistently, rare fungal taxa were also less sensitive to environmental changes, with a lower turnover rate by environmental distance (0.0027 vs. 0.0099) than abundant taxa. In summary, our findings revealed that rare fungal taxa, shaped mainly by stochastic processes, had lower spatial turnover compared to abundant taxa, dominated by deterministic processes, enhancing our understanding of rare microbial biogeography.

ecology↗

bioRxiv2025

T Lymphocyte-Specific Deletion of SHP1 and SHP2 Promotes Activation-Induced Cell Death of CD4+ T Cells and Impairs Antitumor Response

SHP1 (PTPN6) and SHP2 (PTPN11) are closely related protein-tyrosine phosphatases (PTPs), which are autoinhibited until their SH2 domains bind paired tyrosine-phosphorylated immunoreceptor tyrosine-based inhibitory/switch motifs (ITIMs/ITSMs). These PTPs bind overlapping sets of ITIM/ITSM-bearing proteins, suggesting that they might have some redundant functions. By studying T cell-specific single and double knockout mice, we found that SHP1 and SHP2 redundantly restrain naive T cell differentiation to effector and central memory phenotypes, with SHP1 playing the dominant role. Surprisingly, loss of SHP2 alone in T cells enhanced the antitumor effects of anti-PD-1 antibodies, whereas there was no effect of SHP1 deletion. Also unexpectedly, the absence of both PTPs resulted in poorer tumor control and failure to respond to PD-1 blockade, associated with reduced frequency and activation of T cells and dendritic cells. Mechanistic studies revealed that CD4+, but not CD8+ T cells lacking SHP1 and SHP2 show increased activation-induced cell death upon anti-CD3/CD28 stimulation. Adoptive transfer of antigen-specific CD4+ T cells restored normal levels of tumor control in mice lacking both PTPs. Together, our results demonstrate that SHP1 or SHP2 is required to prevent activation-induced cell death of CD4+ T cells and is critical for tumor immunity, raising the possibility that inhibition of SHP2 might augment the therapeutic efficacy of PD-1-based immune therapy. SIGNIFICANCE STATEMENTSHP1 and SHP2 are related protein tyrosine phosphatases that associate with several of the same ITIM/ITSM-containing receptors or T cell receptor (TCR) signaling molecules. The individual roles of SHP1 and SHP2 in T cells have been reported previously, but potentially redundant functions are less well understood. Here we uncover an essential function in CD4+ T cells that is manifest only in the absence of both enzymes and is critical for the control of tumors.

immunology↗

bioRxiv2024

Spatially barcoding biochemical reactions using DNA nanostructures unveil a major contact mechanism in proximity labeling

Proximity labeling techniques like TurboID and APEX2 have become pivotal tools in spatial omics research for studying protein interactions. However, the biochemical mechanisms underlying these reactive species-mediated labelings, particularly the spatial patterns of labeling methods within the sub-m range, remain poorly understood. Here, we employed DNA nanostructure platforms to precisely measure the labeling radii of TurboID and APEX2 through in vitro assays. Our DNA nanoruler design enables the deployment of oligonucleotide-barcoded labeling targets with nanometer precision near the enzymes. By quantifying labeling yields using quantitative PCR and mapping them against target distances, we uncovered surprising insights into the labeling mechanisms. Contrary to the prevailing diffusive labeling model, our results demonstrate that TurboID primarily operates through contact-dependent labeling. Similarly, APEX2 shows high labeling efficiency within its direct contact range. In parallel, it exhibits a low-level diffusive labeling towards more distant phenols. These findings reframe our understanding in the mechanism of proximity labeling enzymes, at the same time highlight the potential of DNA nanotechnology in spatially profiling reactive species.

biochemistry↗

bioRxiv2024

Vaginal Microbiome and Inflammation Among Chinese Women.

Human papillomavirus (HPV) infection, cervical intraepithelial neoplasia (CIN), pelvic organ prolapse (POP), cervical polyps (CP), abnormal uterine bleeding (AUB), and vaginitis are common conditions encountered in gynecological practice. In this study, we collected vaginal secretions from patients diagnosed with these diseases (n = 310) and from healthy donors (n = 112) to analyze their vaginal microbiome using 16S rRNA sequencing and cytokine expression using a cytometric bead array (CBA). Our findings revealed that the vaginal microbiome in POP patients exhibited higher complexity compared to other groups. Regarding cytokine expression, levels of IL-1, IL-1{beta}, IL-6, IL-8, MCP-1, and MIG were significantly elevated in HPV and CIN patients. Analysis of microbial associations showed that Lactobacillus crispatus and Lactobacillus iners were significantly negatively correlated with IL-1 and IL-1{beta} expression. In contrast, non-Lactobacillus bacteria, including Bifidobacterium breve, Prevotella bivia, Gardnerella vaginalis, Sneathia amnii, Sneathia sanguinegens, Prevotella amnii, Escherichia coli, and Chlamydia trachomatis, were positively correlated with IL-1, IL-1{beta}, IL-6, IL-8, MCP-1, and MIG levels. Furthermore, Lactobacillus iners exhibited a significant negative effect in the HPV and CIN patient groups.

microbiology↗

bioRxiv2024

Phage CRISPR-like regulatory RNAs silence bacterial adaptive and innate immunity

CRISPR RNAs (crRNAs) encoded by CRISPR arrays direct Cas nucleases against viruses. Some CRISPR-Cas loci also contain mini-arrays encoding crRNA-like RNAs (crlRNAs), which modulate transcription of cas or associated toxin genes that safeguard CRISPR-Cas activity. Here, we report that phages hijack these host crlRNA regulatory circuits to suppress bacterial immunity. Viral crlRNAs compete with host crRNAs for Cas protein binding and reprogram Cas proteins to silence their own expression or suppress transcription of CRISPR-safeguarding toxins. These anti-defense crlRNAs are found across diverse phages and plasmids, frequently organized into multiplexed transcriptional units resembling CRISPR arrays, and often synergize with co-encoded anti-CRISPR proteins to disable hierarchical host immune responses. Furthermore, we demonstrate that these compact viral crlRNA architectures can be harnessed for efficient mammalian genome editing. Our findings uncover widespread viral hijacking of host Cas proteins via crlRNAs, highlighting the recurrent exaptation of CRISPR-Cas regulatory functions to counter multilayered bacterial immune defenses.

microbiology↗

bioRxiv2024

Mettl5 coordinates protein production and degradation of PERIOD to regulate sleep in Drosophila

Sleep plays a critical role in animal physiology, primarily governed by the brain, and its disruption is prevalent in various brain disorders. Mettl5 is associated with intellectual disability (ID), which often includes sleep disturbances. However, the mechanism underlying these sleep disruptions in ID remains poorly understood. In this study, we investigated the sleep phenotypes resulting from Drosophila Mettl5 mutations. Rescue experiments revealed that Mettl5 functions predominantly within neurons and glia marked by Mettl5-Gal4 to regulate sleep. Previous work established that Mettl5 forms a complex with Trmt112 to influence rRNA methylation. Notably, a mutation in Trmt112 mutation recapitulated these sleep disturbances, implicating translational regulation by the Mettl5/Trmt112 complex. Subsequent RNA-seq and Ribo-seq analyses of Mettl51bp mutants uncovered downstream effects, including altered expression of proteasome components and clock genes. Rescue experiments confirmed that the net increase in PERIOD protein underlies the sleep phenotype. This study illuminates the interplay between ribosome function, clock genes, and the proteasome in sleep regulation, highlighting the integrated roles of protein synthesis and degradation. These findings could potentially provide an example for in vivo study of rRNA methylation function, expand our understanding of protein homeostasis in sleep and offer insights into the sleep phenotypes associated with ID.

genetics↗