Biology subjects

Zhu, A.

Publications and source records attributed to Zhu, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Regional choroid plexus calcifications and their associations with aging, brain structure, and disease

The choroid plexus (CP) maintains brain homeostasis through cerebrospinal fluid production and formation of the blood-cerebrospinal fluid barrier, and its dysfunction has been linked with aging and neurological disease. CP dysfunction may involve both enlargement and calcific tissue change, which may reflect distinct processes; yet population neuroimaging has focused on lateral ventricle CP volume, which cannot directly identify calcified tissue. Using quantitative susceptibility mapping (QSM) in 30,012 UK Biobank participants, we conducted, to our knowledge, the first large scale multi-ventricular study of CP calcification (CPcal), quantifying the lateral (LV), third (3rdV) and fourth (4thV) ventricles. We examined associations with age and sex, endocrine, nutritional and metabolic, mental and behavioral, nervous system, and circulatory diagnoses; family history of Alzheimer's disease and related dementias (ADRD); cardiometabolic traits; and brain macrostructure, white matter microstructure, and subcortical susceptibility. CPcal increased with age (largest association: LV, r = 0.191) and was greater in males in the LV and 3rdV (d = 0.249-0.359) and more prevalent in the 4thV (OR = 1.274). Greater CPcal was associated with endocrine and metabolic, psychiatric, nervous system, and circulatory disorders, with the strongest and most consistent associations observed in the 3rdV (d = 0.097 - 0.125) and persisted after adjustment for ventricular volume, particularly for diabetes (d = 0.303) and tobacco use disorder (d = 0.314). Maternal ADRD family history was associated with greater LV CPcal (d = 0.063). CPcal was also associated with cortical and subcortical volumes (r = 0.033 - 0.046), white matter microstructure (r = 0.017 - 0.042), and subcortical susceptibility (r = -0.064 - 0.131). QSM-derived CPcal is a scalable, radiation-free imaging phenotype that complements volumetry by characterizing calcific CP tissue, which is associated with cardiometabolic health, brain aging, and neurodegenerative risk, particularly in the third ventricle.

neuroscience↗

bioRxiv2026

RNA-guided transcriptional repression by TIGR-Tas systems

Tandem interspaced guide RNA (TIGR)-TIGR-associated protein (Tas) systems are a widespread family of RNA-guided DNA-targeting proteins whose diversity has remained uncharacterized because their arrays, unlike CRISPR arrays, lack the sequence conservation required by existing annotation tools. We developed TIGRFinder, a motif-based pipeline that identified 6,685 TIGR arrays from genomic and metagenomic data. Phylogenetic and structural analysis of Tas proteins revealed clade-specific insertions in stem-loop binding Tas proteins that co-vary with features of their cognate tigRNAs. Cryo-electron microscopy structures of two stem-loop binding TasR ribonucleoprotein complexes demonstrate how these protein insertions directly accommodate extended tigRNA stems while maintaining DNA binding through catalytically inactive RuvC domains. We also show that these catalytically dead TasR proteins, along with the nuclease-lacking TasA, function as RNA-guided transcriptional repressors. These findings establish TIGR-Tas as a functionally diverse family of RNA-guided effectors, with comprehensive annotations available through TIGRSafari (https://tigr.bio) to support further exploration and engineering.

molecular biology↗

bioRxiv2026

Long-Term Grazing Drives Compositional Shifts in Root-Associated Microbial Communities of Desert Steppe Plants

Grassland microbial communities are central to mediating ecosystem function and stability, yet how long-term grazing reshapes root-associated microbiomes across contiguous soil-root habitats remains poorly understood. This limits our ability to identify robust microbial bioindicators for grassland health monitoring. In this study, we investigated the community assembly and functional variation of root-associated microbiomes of Stipa breviflora, a dominant perennial clonal grass in desert steppes, across a 17-year continuous grazing experiment with four grazing intensity treatments (no grazing, light, moderate, and heavy grazing). We show that grazing intensity induces niche-specific restructuring of microbial communities, with the most profound compositional and functional shifts occurring in the rhizosphere, followed by root endophytic compartments and bulk soil. Light and moderate grazing significantly enriches the phylum Bacillota in rhizosphere and endophytic compartments, whereas the genus Pseudomonas dominates ungrazed grassland soils and is markedly depleted under grazing conditions. Microbial community responses to grazing follow a unimodal intermediate disturbance pattern, with moderate grazing triggering the strongest microbial community differentiation, enhanced microbial network connectivity and modularity, and the highest abundance of grazing-responsive microbial biomarkers. Notably, grazing-induced microbial community variation is decoupled from intraspecific phenotypic changes in S. breviflora. Our findings demonstrate that long-term grazing acts as a strong selective filter partitioning core beneficial microbial taxon, establishing Bacillota and Pseudomonas as complementary bioindicators for evaluating desert steppe ecosystem health. This study advances the understanding of plant-microbe interactions under anthropogenic disturbance and provides microbiome-based insights for sustainable grassland management.

microbiology↗

bioRxiv2026

Data-Efficient Exploration of Enzyme Function Using Family-Specific Machine Learning

Enzymes are essential biocatalysts across diverse industries, driving demand for high-performing variants. Foundation models are attractive for guiding enzyme discovery, but often lack the resolution to model subtle variations driving function within homologous families. Navigating these rugged functional landscapes to identify elite variants remains challenging and experimentally costly, even when guided by such models. Here we show that coupling dense, family-specific experimental screening with targeted, sequence-based deep learning provides a data-efficient discovery strategy. We experimentally screened 1,513 natural homologues from an esterase superfamily (>7,500 assays) and used this functional landscape to train task-specific models that predict activity, thermostability, and substrate specificity from sequence alone. Prospective experimental validation of previously untested sequences demonstrated that these task-specific models significantly outperformed generalist pre-trained and physics-based models in enriching for target traits. Residue-level attribution further indicated that the models captured sequence patterns consistent with underlying structural features. Finally, retrospective simulations showed that iterative retraining compresses the search space, discovering 60% of top-tier hits using nearly half the samples required by pre-trained baseline models. Together, these results highlight that machine learning can provide mechanistic insight, and that integrating targeted data acquisition with iterative machine learning provides a more data-efficient discovery strategy than relying on generic model scale.

bioengineering↗

bioRxiv2026

SCALLOPS: a scalable, integrated computational framework for Optical Pooled Screens

Optical pooled screens (OPS) link pooled genetic perturbations to high-dimensional image-based phenotypes at scale, but their widespread adoption is hindered by computational bottlenecks in processing terabyte-scale, multimodal image data. We present SCALLOPS, a unified, modular, and cloud-native computational framework that overcomes these bottlenecks. SCALLOPS implements a "well-centric" processing strategy that integrates robust stitching with a non-linear two-stage registration strategy, enabling accurate alignment of multi-magnification images, reliable single-cell genotype-phenotype linkage, and efficient morphological feature extraction. Benchmarking with public and newly-generated datasets demonstrated SCALLOPS superior performance over existing solutions. Crucially, SCALLOPS uniquely enables robust processing of 4x magnification in situ sequencing data, accelerating image acquisition by around six-fold. We applied SCALLOPS to an optical pooled screen investigating the estrogen receptor (ER) degrader vepdegestrant in a breast cancer cell line, successfully recovering its known mechanism of action, highlighting the value of OPS in translational research. SCALLOPS provides a scalable end-to-end solution, making large-scale OPS routine.

bioinformatics↗

bioRxiv2026

Coarse-graining metabolic networks via feature learning reveals cross-species growth laws

Bacterial growth and the underlying metabolic networks are highly dissimilar across species, posing a fundamental challenge for bioengineering tasks involving diverse species. For a given species across nutrient environments, growth is regulated via proteome allocation, which gives rise to linear relationships between growth and the sizes of coarse-grained proteome sectors. However, whether and how coarse-grained growth predictors generalize across species remain unclear. Here, using genome-scale metabolic models, we discover a simple cross-species trend in which the monoculture growth of a species is proportional to the number of nutrients it utilizes, indicating that the latter is a regulatory feature that is conserved across species. By coarse-graining metabolic networks using feature learning, we identify novel proteome sectors whose sizes exhibit cross-species correlations with growth in wide-ranging experiments, suggesting that these sectors are also conserved regulatory features. We further show that the sectors enable a predictive encoding of proteome costs and growth benefits, thereby providing a potential explanation for how coarse-grained network features emerge to be simple determinants of growth across diverse metabolic networks.

systems biology↗

bioRxiv2026

OpenAc4C: A gateway to decode the landscape, regulation and pathogenesis of N4-acetylcytidine (ac4C) epitranscriptome

N4-acetylcytidine (ac4C) is an ancient and highly conserved chemical marker found in all domains of life. Recent advancements in sequencing techniques have enabled the functional analysis of ac4C occurrence by accurately capturing its locations and levels, shedding light on its significant regulatory potential and emerging role in diseases. The OpenAc4C, the first comprehensive knowledgebase exclusively designed for unraveling the ac4C epitranscriptome across diverse species, spanning vertebrates, mammals, insects, fungi, plants, bacteria, archaea, and viruses. By mining a large array of ac4C epitranscriptome datasets with deep learning-based pipelines, OpenAc4C features a collection of 536,745 ac4C sites identified from four distinct next-generation sequencing (NGS)-based techniques, alongside novel insights from Oxford Nanopore direct RNA sequencing (ONT)-based samples, encompassing a total of 33 species. Beyond the ac4C landscape, a total of 536,986 ac4C-affecting variants were identified in seven species. Among them, 4,766 pathogenic ac4C-SNPs may drive ac4C dysregulation with implications for disease pathogenesis. In addition, OpenAc4C offers a user-friendly graphical interface and a web-based analysis platform for comprehensive querying and interactive exploration of the database collections. Together, OpenAc4C will serve as a valuable integrated resource to facilitate studies of ac4C modification. It is freely accessible at: www.rnamd.org/ac4cportal.

bioinformatics↗

bioRxiv2025

Structural insights into xyloglucan recognition by an ABC transporter from a Gram-positive, thermophilic bacterium

Xyloglucan (an -1,6-xylosyl-substituted {beta}-1,4-glucan) is a major hemicellulose of the primary cell wall of many plants and an important growth substrate for biomass-degrading bacteria in diverse ecological niches, including the gut microbiome and hot springs. In Gram-positive bacteria, xyloglucan is deconstructed into soluble oligosaccharides in the extracytoplasmic space before import by ATP-Binding Cassette (ABC) transporters, but the structural basis for this process remains poorly understood. Here, we identified an ABC transporter for xyloglucan uptake (Athe_2052-2054) in the Gram-positive, plant biomass-degrading thermophile Anaerocellum bescii, which is conserved across the Anaerocellum genus. We solved the apo crystal structure of its extracellular substrate-binding protein (SBP), Athe_2052, revealing a unique tertiary fold found only in a small subset of SBPs that bind complex oligosaccharides. This structure represents the first ABC SBP known to bind xyloglucan oligosaccharides. Biophysical analysis showed that while Athe_2052 binds unsubstituted {beta}-glucan chains, recognition of xyloglucan side chains in the binding pocket markedly increases affinity (Kd = 14 nM) for xyloglucan heptasaccharide (XXXG), the principal oligosaccharide released during xyloglucan deconstruction. Molecular modeling revealed that xyloglucan heptasaccharide, owing to its branched substitutions, is bound in a distinct conformation compared to unsubstituted {beta}-glucans. This represents a unique mode of xyloglucan recognition driven by -linked side-chain interactions rather than {beta}-glucan backbone recognition alone. Together, these findings provide the first structural basis for xyloglucan oligosaccharide recognition by an ABC transporter in Gram-positive bacteria.

molecular biology↗

bioRxiv2025

AI recognizes convergent somatic hypermutation signatures to allow the discovery of variant-resilient broadly neutralizing antibodies

Elucidating the mechanisms by which broadly neutralizing antibodies (bnAbs) develop to confer durable immunity in humans is pivotal for the rational design of next-generation vaccines and therapeutics. VH3-53/3-66-encoded public antibodies are widely elicited in the population after the COVID-19 pandemic. Here, we isolated 15 VH3-53/3-66-encoded bnAbs from elite neutralizers who experienced sequential SARS-CoV-2 Omicron breakthrough infections. These bnAbs exhibit exceptional potency and breadth against circulating variants and, as members of a long-lived public antibody lineage, likely contribute to durable humoral protection. Genetic analysis of VH3-53/3-66-encoded bnAbs reveals a convergent somatic hypermutation pattern at seven positions in and around the CDR loops that emerges with repeated viral exposures and distinguishes them from non-bnAbs. Grafting these combined mutations onto clinically escaped antibodies broadens their breadth and restores neutralization activity. Structural analysis shows that these convergent mutations cooperatively remodel CDRs to bind and tolerate virus receptor-binding domain mutations. Using an AI-based antibody language model trained on data linking somatic hypermutations to binding affinity and neutralization, the model is able to identify mutational patterns predictive of breadth, enabling the discovery of a rare bnAb with protective activity against the latest variants from early-pandemic antibody repertoires. This demonstrates the feasibility of establishing an AI-empowered pipeline to identify mutation-tolerant bnAbs from early-pandemic antibody repertoires to fight fast-evolving newly introduced viruses.

immunology↗

bioRxiv2025

Circadian clock regulates epidermal endocrine system in homeostatic skin pigmentation

The circadian clock regulates various physiological processes in the skin, including local hormone synthesis and pigment production. However, the interplay between circadian regulation and epidermal endocrine signaling remains poorly understood. In this study, we investigated the functional roles of two core circadian transcriptional regulators, Basic helix-loop-helix ARNT-like protein 1 (BMAL1) and CLOCK circadian regulator (CLOCK), in human epidermal homeostasis. Primary normal human epidermal melanocytes were cultured and analyzed using quantitative real-time PCR, Western blotting, and immunofluorescence. Both BMAL1 and CLOCK were abundantly expressed in melanocytes. siRNA-mediated knockdown of either gene led to a significant reduction in melanin synthesis and altered the expression of hormone-related factors, notably decreasing the expression of vitamin D receptor (VDR) and its associated pathways. These molecular alterations were closely correlated with changes in melanogenic activity. Consistently, immunohistochemical analysis of vitiligo patient skin revealed reduced expression of the vitamin D-related enzyme CYP27A1 in melanocytes. Collectively, our findings demonstrate that circadian clock disruption impairs pigment production partly through modulation of vitamin D signaling, uncovering a previously unrecognized link between the cutaneous circadian system and endocrine regulation of melanogenesis.

pathology↗

bioRxiv2025

Targeting RUNX1 in Macrophages Facilitates Cardiac Recovery

Despite advances in disease treatment, our understanding of how damaged organs recover and the mechanisms governing this process remain poorly defined. Here, we mapped the transcriptional and regulatory landscape of human cardiac recovery using single cell multiomics. Macrophages emerged as the most reprogrammed cell type. Deep learning identified the transcription factor RUNX1 as a key regulator of this process. Macrophage-specific Runx1 deletion recapitulated the human cardiac recovery phenotype in a chronic heart failure model. Runx1 deletion reprogrammed macrophages to a reparative phenotype, reduced fibrosis, and promoted cardiomyocyte adaptation. RUNX1 chromatin profiling revealed a conserved regulon that diminished during recovery. Mechanistically, the epigenetic reader BRD4 controlled Runx1 expression in macrophages. Chromatin activity mapping, combined with CRISPR perturbations, identified the precise regulatory element governing Runx1 expression. Therapeutically, small molecule Runx1 inhibition was sufficient to promote cardiac recovery. Our findings uncover a druggable RUNX1 epigenetic mechanism that orchestrates recovery of heart function.

immunology↗

bioRxiv2025

Matrix stiffness and stress relaxation regulate osteogenesis through histone demethylases KDM4B and KDM6B

Stem cells sense biophysical cues within their extracellular microenvironment and respond via mechanotransduction signaling pathways that induce changes in gene expression and associated cell fate outcomes. Histone modifying enzymes are known to drive stem cell differentiation through changes in chromatin accessibility, but little is understood as to how extracellular matrix (ECM) mechanics regulate epigenomic remodeling. Here, we utilize alginate hydrogels with tunable mechanical properties to investigate the role of both matrix stiffness and viscoelasticity on histone demethylase expression and activity during osteogenic differentiation of human bone marrow-derived mesenchymal stem cells (hBMSCs). Our results reveal that the expression of two histone demethylases, KDM4B and KDM6B, are upregulated during osteogenesis in response to stiff, viscoelastic matrix conditions. Inhibition of mechanotransduction signaling pathways reduces expression of KDM4B and KDM6B and hinders osteogenic differentiation overall. Interestingly, phosphorylation of SMAD 1/5/8 was shown to increase in cells cultured in stiff, stress relaxing matrices, and pharmacological inhibition of SMAD 1/5/8 activation reduced expression of KDM4B and KDM6B and decreased osteogenic differentiation. Taken together, our results reveal novel impacts of stem cell mechanotransduction signaling events that promote osteogenesis through epigenetic remodeling.

cell biology↗

bioRxiv2025

Functional and structural characterization of AtAbf43C: An exo-1,5-α-L-arabinofuranosidase from Acetivibrio thermocellus DSM1313

The Acetivibrio thermocellus DSM1313 genome codes for seven predicted glycoside hydrolase family 43 (GH43) enzymes, four of which remain uncharacterized. This study describes the function and structure of one such enzyme, AtAbf43C, from GH43 subfamily 26 (GH43_26) which acts as an -L-arabinofuranosidase (EC 3.2.1.55). AtAbf43C is active on para-nitrophenol--L-arabinofuranoside (pNPAra), with optimal activity observed at pH 5.5 and 65 . Multiple crystal structures of AtAbf43C were obtained, in which an N-terminal carbohydrate binding module family 42 (CBM42) domain displays a {beta}-trefoil type fold and the C-terminal GH43 domain displays a canonical 5-bladed {beta}-propeller motif. One structure, which was solved with two L-arabinofuranose molecules bound to {beta}- and {gamma}-subdomains of the CBM42, builds upon previous literature suggesting the -binding pocket of the AtAbf43C CBM42 is non-functional. Furthermore, structural alignment with the substrate bound structure of a closely homologous GH43_26 exo--1,5-arabinofuranosidase, SaAraf43A from Streptomyces avermitilis (PDB 3AKH), allowed for identification of the conserved catalytic triad via site-directed mutagenesis in AtAbf43C, as well as insight into the deep-narrow topology of the AtAbf43C binding pocket that suggested it would be active on similar arabino-oligosaccharide (AOS) substrates as SaAraf43A. Subsequent liquid chromatography-mass spectrometry (LC-MS) analysis of polysaccharides and oligosaccharides hydrolyzed by AtAbf43C provides experimental evidence confirming this enzyme acts in an exo manner primarily towards -1,5 linked arabino-oligosaccharides.

molecular biology↗

bioRxiv2025

Tissue Engineering Applications for Novel Integrated and Mobile Perfusion System

Perfusion offers unique benefits to tissue-engineered systems, enhancing oxygen and nutrient transport which improves tissue formation and growth. In this study, we present a novel and integrated portable perfusion system, termed the FluidON. Weighing <10 lbs, the system can maintain continuous flow in a standard incubation environment (37{degrees}C, 5% CO2), effectively functioning as a portable perfusion and culture chamber. To test the systems perfusion parameters, we measured the volumetric flow rate across a range of pressures and found that the system could achieve flow as low as 0.40{+/-} 0.19uL/s, which is similar to in vivo interstitial flow. Computational fluid dynamics revealed uniform flow distribution, laminar flow, and gentle circulation, helping ensure even fluid and nutrient distribution. To study the biocompatibility of the system, bioengineered tissue patches were created and perfused. Viability was assessed through flow cytometry. The system does not adversely affect cell health as the viability of perfused samples was found to be 40.99{+/-}6.22% alive after 24 hours (n=4), while that of the static control was 38.56{+/-}4.22% alive (n=4). To determine the effects of perfusion on spheroid spatial arrangement, perfused tissue patches were analyzed with light microscopy. It was discovered that perfusion promoted spheroid aggregation and cohesion, causing the distance from one spheroid to its nearest neighbor to decrease after 24 hours of perfusion. Perfusion was also found to improve the strength of hydrogels as the average hole area, caused by hydrolytic enzymes that degrade the hydrogel matrix, was smaller in perfused conditions compared to the control. Complemented by its ability to provide mobile perfusion and incubation, this novel integrated portable perfusion system holds promise for promoting tissue maturation, elevating tissue bioengineering studies.

bioengineering↗

bioRxiv2024

Accurate de novo design of a voltage-gated anion channel

Ion channels gated by environmental cues play key roles in fundamental biological processes. Designing ion channels with tailored gating mechanisms remains a significant challenge due to the complexities involved in designing conformational changes in proteins. Here we report the accurate de novo design of a voltage-gated anion channel, namely VGAC. VGAC adopts a 15-helix pentameric structure featuring a constriction composed of five arginine residues within the transmembrane span. In patch-clamp experiments, VGAC showed strictly voltage-dependent currents and demonstrated selectivity for chloride anions over iodide anions. Our data suggests that the arginine constriction undergoes voltage-induced conformational changes, serving as both the voltage sensor and selectivity filter. A 2.9-[A]-resolution cryo-electron microscopy structure of VGAC closely aligns with the design model. The ability to design ion channels with custom-designed conformational changes provides new insights into our understanding of the fundamental principles of membrane biophysics and unveils a wide range of potential applications.

synthetic biology↗

bioRxiv2024

Cysimiditides: RiPPs with a Zn-tetracysteine motif and aspartimidylation

Aspartimidylation is a post-translational modification found in multiple families of ribosomally synthesized and post-translationally modified peptides (RiPPs). We recently reported on the imiditides, a new RiPP family in which aspartimidylation is the class-defining modification. Imiditide biosynthetic gene clusters encode a precursor protein and a methyltransferase that methylates a specific Asp residue, converting it to aspartimide. A subset of imiditides harbor a tetracysteine motif, so we have named these molecules cysimiditides. Here, using genome mining we show that there are 56 putative cysimiditides predicted in publicly available genome sequences, all within actinomycetota. We successfully heterologously expressed two examples of cysimiditides and showed that the major products are aspartimidylated and that the tetracysteine motif is necessary for expression. Cysimiditides bind a Zn2+ ion, presumably at the tetracysteine motif. Using in vitro reconstitution of the aspartimidylation reaction, we show that Zn2+ is required for methylation and subsequent aspartimidylation of the precursor protein. An AlphaFold 3 model of the cysimiditide from Thermobifida cellulosilytica shows a hairpin structure anchored by the Zn2+-tetracysteine motif with the aspartimide site in the hairpin loop. An AlphaFold 3 model of this cysimiditide in complex with its cognate methyltransferase suggests that the methyltransferase recognizes the Zn2+-tetracysteine motif to correctly dock the precursor protein. Cysimiditides expand the set of experimentally-confirmed RiPPs harboring aspartimides, and represent the first RiPP class that has an obligate metal ion. Table of Contents Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=104 SRC="FIGDIR/small/616296v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@2879corg.highwire.dtl.DTLVardef@152b63org.highwire.dtl.DTLVardef@1d3ad25org.highwire.dtl.DTLVardef@c8d63_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2024

Parabrachial Calca neurons mediate second-order conditioning

Learning to associate cues, both directly and indirectly, with biologically significant events is essential for survival. Second-order conditioning (SOC) involves forming an association between a previously reinforced conditioned stimulus (CS1) and a new conditioned stimulus (CS2) without the presence of an unconditioned stimulus (US). The neural substrates mediating SOC, however, remain unclear. In the parabrachial nucleus, Calca gene-expressing neurons, which react to the noxious US, also respond to a CS after its pairing with a US. This observation led us to hypothesize their involvement in SOC. To explore this possibility, we established an aversive SOC behavioral paradigm in mice and monitored Calca neuron activity via single-cell calcium imaging during SOC and subsequent recall phases. These neurons were activated not only by CS1 following its association with the US but also by CS2 after SOC. Chemogenetically inhibiting these neurons during second-order associations attenuated SOC. These findings suggest that activating the US pathway in response to a learned CS plays an important role in forming the association between the old and a new CS, promoting the formation of second-order memories.

neuroscience↗

bioRxiv2024

Epitranscriptomic Reader YTHDF2 Regulates SEK1(MAP2K4)-JNK-cJUN Inflammatory Signaling in Astrocytes during Neurotoxic Stress

As the most abundant glial cells in the CNS, astrocytes dynamically respond to neurotoxic stress, however, the key molecular regulators controlling the inflammatory status of these sentinels during neurotoxic stress have remained elusive. Herein, we demonstrate that the m6A epitranscriptomic mRNA modification tightly regulates the pro-inflammatory functions of astrocytes. Specifically, the astrocytic neurotoxic stresser, manganese (Mn), downregulated the m6A reader YTHDF2 in human and mouse astrocyte cultures and in the mouse brain. Functionally, YTHDF2 knockdown augmented, while its overexpression dampened, neurotoxic stress induced proinflammatory response, suggesting YTHDF2 serves as a key upstream regulator of inflammatory responses in astrocytes. Mechnistically, YTHDF2 RIP-sequencing identified MAP2K4 (MKK4; SEK1) mRNA as a YTHDF2 target influencing inflammatory signaling. Our target validation revealed Mn-exposed astrocytes mediates proinflammatory response by activating the phosphorylation of SEK1, JNK, and cJUN signaling. Collectively, YTHDF2 serves a key upstream molecular switch controlling SEK1(MAP2K4)-JNK-cJUN proinflammatory signaling in astrocytes.

neuroscience↗