Biology subjects

Tang, X.

Publications and source records attributed to Tang, X..

At least 19 recordsLinked to original sources

bioRxiv2026

Engineering Upd-like to broadly restrict arbovirus infection and vector competence in mosquitoes

The global expansion of mosquito-borne viruses poses a growing threat to public health, yet the endogenous signals that activate antiviral immunity in mosquito vectors remain incompletely understood. Here, we identify Aedes aegypti Upd as an activator of JAK/STAT signaling that restricts arbovirus infection. Loss of Upd increased infection and dissemination of the flaviviruses ZIKV and DENV, as well as the alphavirus SINV, whereas blood meal inducible midgut overexpression reduced ZIKV and SINV infection. Mechanistically, Upd associated with the extracellular region of the Domeless (Dome) receptor, and Upd deficiency markedly reduced STAT phosphorylation and nuclear accumulation in the midgut. Upd expression was transiently induced in the midgut by an uninfected blood meal but remained elevated following ZIKV challenge, linking physiological responses to blood feeding with antiviral defense. In mammal mosquito transmission models, Upd overexpression reduced viral acquisition from infected hosts, whereas Upd deficiency enhanced viral dissemination and increased transmission following systemic infection. Together, these findings identify Upd as an endogenous regulator of mosquito JAK/STAT signaling and provide proof of principle that temporally targeted Upd expression can reduce arbovirus susceptibility and vector competence.

microbiology↗

bioRxiv2026

SpiraMed: A Stereotactic Helix-based Therapy Delivery system for the Human Brain

Stereotactic needle-based delivery remains the standard for local administration of Advanced Therapy Medicinal Products (ATMPs) to the human brain. ATMP administration typically involves multiple trajectories, presenting cumulative risks and prolonging surgery. Reflux-prone, patchy therapy coverage compromises clinical results. We demonstrate a novel approach, deploying a helical delivery catheter via a single access trajectory per target, referred to as SpiraMed. Helix retraction is synchronised with therapy delivery, enabling comprehensive target coverage in seconds. Helix pitch and diameter can be precisely tailored to patient-specific target volume and vascular anatomy, as part of the preoperative stereotactic surgical planning process. Testing in agarose phantoms, live sheep and cadaveric human brain confirms enhanced therapy delivery volume, delivery speed and target coverage, with reductions in reflux and predicted risk of bleeding complication. SpiraMed represents a new paradigm, promising to help deliver on the transformative potential of cell and gene therapies across the spectrum of human CNS disease.

bioengineering↗

bioRxiv2026

Simvastatin and Primaquine Identified as Potential Endometriosis Therapeutics via a Novel Epithelial-Stromal Assembloid Drug Screening Assay

Background: Endometriosis is an estrogen-driven, inflammatory disorder affecting ~10% of menstruators, causing severe pain. Current treatments that reduce estrogen or inflammation have inconsistent efficacy and poor tolerability. Therapies identified via drug-repositioning methods, which target patient-specific pathways, offer a promising alternative. Simvastatin and primaquine were identified as potential treatments, strongly reversing endometriosis-associated gene expression pathways, and behavioral testing in an animal model showed that these drugs diminish endometriosis-associated pain. This paper examines their effects in human assembloids to provide proof-of-concept validation and insights into their mechanisms of action relevant to endometriosis. Methods: We established human endometrial assembloids using immortalized epithelial (12Z) and stromal fibroblast (iEc) cell lines, as well as primary tissue from patients. Assembloids were generated in 96-well agarose molds with both cell types. We tested ibuprofen, fenoprofen, primaquine, and simvastatin. Following a 24-hour exposure, assembloids and monolayer cultures were harvested and stranded mRNA-seq libraries were sequenced on an Illumina NovaSeqX Plus System. Results: Gene set enrichment analysis showed key pathway reversals: Primaquine reversed the chemical carcinogenesis ROS pathway in assembloids. Simvastatin reversed cytokine-cytokine receptor interaction in both epithelial and stromal cell lines, and the cytoskeleton in muscle cells pathway in stromal cell lines. Fenoprofen reversed the calcium signaling pathway in stromal cell lines. Conclusion: Simvastatin induced the most significant gene expression changes, notably reversing cytokine-cytokine receptor interactions in both cell lines, mirroring findings from our rat model. Despite the small sample size limitation, these experiments highlight the promise of assembloid models to test therapeutic candidates for endometriosis.

molecular biology↗

bioRxiv2026

Benchmarking Neural Decoders for Brain-Computer Interfaces and Neural Population Analysis

The most accurate neural decoder on held-out trials is not necessarily the most useful for brain-computer interfaces or neural population analysis. In practical use, neural decoders may also need to remain robust to noisy neural inputs, satisfy calibration or deployment constraints, and produce comparable representations across recordings. We introduce BEND-BCI, an open-source benchmark of 23 neural decoding methods on motor, visual, speech and spatial decoding tasks across 16 real or synthetic neural recordings. BEND-BCI compares decoders across held-out prediction, robustness to input perturbation, computational cost and cross-recording latent consistency. These additional axes frequently changed decoder rankings: held-out accuracy did not reliably identify the most robust, efficient or cross-recording-consistent models. Simpler baselines were also competitive with, and in some cases outperformed, more heavily parameterized deep neural networks. Diagnostic analyses based on explainable machine learning further showed that decoder performance was associated with the use of expected neural features and could be improved by selecting high-quality training trials. BEND-BCI reframes neural-decoder selection from an accuracy leaderboard into a constrained decision over task, resource, representation and diagnostic goals.

bioinformatics↗

bioRxiv2026

Integrating single-cell and bulk transcriptomic perturbation resources reveals complementary therapeutic spaces for drug repurposing

Transcriptome-based drug repurposing can accelerate therapeutic discovery, but is limited by fragmented resources, inconsistent quality control, and reliance on single perturbation databases. We developed CDRPipe (Computational Drug Repurposing Pipeline), a unified framework that interrogates disease signatures against drug perturbation signatures generated by distinct experimental technologies. Specifically, CDRPipe harmonizes microarray perturbation profiles from the Connectivity Map (CMap; 1,968 quality-filtered experiments) with pseudo-bulk profiles derived from large-scale single-cell RNA sequencing experiments in the Tahoe-100M database (56,827 experiments). CDRPipe standardizes preprocessing, computes rank-based connectivity scores, and evaluates significance using empirical null models. We applied CDRPipe to 233 curated disease signatures from GEO and CREEDS and evaluated performance using known drug-disease associations from Open Targets. Single-cell-derived pseudo-bulk profiles recovered more annotated therapeutics than microarray profiles (median recall 50.0% vs. 6.2%; Wilcoxon p < 10-{superscript 1}{superscript 1}), thought these differences partly reflect differences in drug library composition and clinical annotation coverage. Importantly, the two resources were highly complementary, with only 3.5% overlap in recovered drugs, indicating that integrating predictions across independent perturbation resources expands therapeutic coverage and enables identification of high-confidence consensus candidates. Case studies in autoimmune disease and endometriosis further demonstrate that CDRPipe recovers clinically relevant therapies while revealing technology-dependent patterns of discovery. These results show that integrating heterogeneous transcriptomic perturbation resources improves the robustness and interpretability of transcriptional drug repurposing. One Sentence SummaryIntegrating drug perturbation resources from distinct transcriptomic platforms improves the robustness and accuracy of drug repurposing predictions.

bioinformatics↗

bioRxiv2026

Systematic Development of a Compact Genome-Editing Tool Leveraging the TAM-Independent DNA Nuclease TasR in Bacillus subtilis

Bacillus subtilis is a core microbial chassis in biomanufacturing, and establishing efficient gene editing technologies is key to engineering this strain. In conventional CRISPR gene editing technologies, the large size of DNA nucleases leads to difficulties in plasmid construction, low transformation efficiency, and cumbersome multi-round editing operations; therefore, developing miniature gene editing tools can effectively address these issues. Although our group previously established a miniature gene editing tool based on IscB in B. subtilis SCK6, IscB relies on the 5'-CAGGAA-3' TAM recognition sequence, and 83.36% of the genes in the SCK6 genome harbor no or only one TAM sequence, indicating a bottleneck of restricted editing for IscB in this strain. The novel miniature DNA nuclease TasR does not require a TAM sequence and can thus compensate for the limitation of IscB; however, the applicability of TasR in B. subtilis remains unknown. Therefore, this study first constructed a single plasmid, pBsuTasR, capable of expressing TasR and its guide RNA (tigRNA), which enabled gene deletion of regular-sized fragments in SCK6 with editing efficiencies of 21.7%- 78.3%. Subsequently, the capacity of TasR to delete a long DNA fragment (169.9 kb) was evaluated, and it was found that under the guidance of a single tigRNA, the deletion efficiency was 21.73%, whereas after optimizing to two tigRNAs, the efficiency increased to 39.13%. Furthermore, the gene integration capability of pBsuTasR was further tested, and TasR was able to integrate the aprN gene into the amyE locus at an efficiency of 13.3% under the guidance of a single tigRNA, and after increasing to two tigRNAs, the integration efficiency increased to 91.3%. In terms of iterative genome editing, this study developed the pBsu-SRP (Scissors-Rock-Paper) iterative editing system, which automatically cures the editing plasmid from the previous round while performing a new round of gene editing, with sequential gene deletion efficiencies of 4.34%-26.08%, and using this system, the editing cycle can be shortened from 4N days by the conventional method to 3N+1 days. Subsequently, the pBsu-SRP system was successfully used to achieve the integration of two and three copies of the mCherry fluorescent reporter gene in SCK6, and it was found that the fluorescence intensity increased with the copy number. Finally, this study also explored the escape of SCK6 from TasR cleavage and found that mutations in the tigRNA sequence are the cause of the escape. In summary, this study constructed a novel miniature genome editing system in B. subtilis using the TAM-independent nuclease TasR as the core component. This system can not only provide an efficient technical tool for genetic manipulation of industrial microorganisms, but also offer new instrumental support for the iterative engineering and functional optimization of chassis cells in biomanufacturing.

molecular biology↗

bioRxiv2026

Validation of MHPC512: A Publicly Available Special-Purpose Supercomputer for Molecular Dynamics Simulations of Biomolecular Systems

MHPC512 is a massively parallel, special-purpose supercomputer designed primarily for atomic-level molecular dynamics (MD) simulations of biomolecular systems. It comprises 512 processor units interconnected by a high-speed three-dimensional torus network and employs a custom chip architecture that uses 35-bit fixed-point arithmetic to accelerate computation while controlling precision loss within an acceptable margin. The preprocessor is compatible with GROMACS and AMBER input formats and supports widely used biomolecular force fields (including CHARMM, AMBER, and OPLS/AA), the Neutral Territory method for short-range nonbonded interactions, the k-space Gaussian Split Ewald method for long-range electrostatics, and multiple thermostats, barostats, and integrators. We present a three-tier validation protocol--comparing static energy and virial components, examining ensemble distributions (NVE, NVT, NPT), and evaluating long-time statistical properties--demonstrating that MHPC512 reproduces results consistent with GROMACS and AmberTools. Application examples, including bulk water, dipeptide conformational sampling, folding of fast-folding peptides, membrane-protein systems, lipid self-assembly, and GPCR conformational transitions, further confirm its reliability. MHPC512 has been deployed at multiple supercomputing centers and is publicly accessible, representing a significant advance in high-throughput, large-scale biomolecular MD simulations.

Molecular Biology↗

bioRxiv2026

The Function of LncRNA DRIR in Freezing Tolerance by Promoting Autophagic Degradation of CP29A and CP29B to Alter Alternative Splicing Patterns of Pre-mRNAs

O_LIResearch on the functions and molecular mechanisms of long non-coding RNAs (lncRNAs) involved in regulating plant freezing tolerance is still in its infancy. Our previous research work identified that lncRNA DROUGHT INDUCED LNCRNA (DRIR) regulates gene expressions in Arabidopsis. However, the underlying molecular mechanism is still unknown. C_LIO_LIThis study demonstrates that lncRNA DRIR regulates plant freezing tolerance by affecting alternative splicing patterns of pre-mRNAs. C_LIO_LIThrough chromatin isolation by RNA purification followed by mass spectrometry (ChIRP-MS), we identified two DRIR interacting proteins: CP29A and CP29B. We showed that the drirD mutant, which exhibits elevated DRIR expression and DRIR overexpression lines showed increased sensitivity to freezing stress, whereas DRIR RNAi lines were more tolerant to the stress. CP29A and CP29B bind to nuclear transcripts and, together with DRIR, regulate pre-mRNA alternative splicing under freezing stress. Notably, DRIR induces the relocalization of CP29A and CP29B to autophagosomes, leading to autophagy-mediated protein degradation. C_LIO_LICollectively, our findings elucidate the molecular mechanism by which DRIR influences the autophagy-based degradation of its binding proteins CP29A and CP29B, thereby regulating plant freezing tolerance by altering the alternative splicing patterns of pre-mRNAs, providing novel insights into the functions and mechanisms of lncRNAs in plants adapting to freezing environments. C_LI

plant biology↗

bioRxiv2026

Recovering biological structure in sparse single-cell proteomics with GIRAFI

Single-cell proteomics (SCP) based on liquid-chromatography mass-spectrometry resolves protein-level cellular heterogeneity, but interpretation remains limited by detection-linked sparsity. SCP profiles continuous, peptide-derived intensities and has lower throughput than single-cell RNA sequencing, making denoising methods for large-scale, count-based transcriptomics difficult to apply. Here we present GIRAFI, a graph-informed statistical learning framework that imputes missing values and reveals reproducible cell states by constraining inference to dataset-aware, prior-knowledge-informed protein neighborhoods. We evaluated GIRAFI across SCP datasets spanning diverse biological/technical contexts. In masking-based recovery experiments and cell-type-specific protein-protein interaction inference, GIRAFI outperformed existing methods, and matched bulk proteomics comparisons corroborated recovery accuracy and ablations supported the graph-informed design. Beyond reduced replicate- and source-associated technical structure, GIRAFI recovered ground-truth cell-type annotations, improved cell state-resolved pathway analysis, and enabled trajectory inference consistent with known time courses. These results establish graph-constrained imputation as an effective strategy for improving SCP robustness, biological structure, interpretation, and cross-dataset comparability.

bioinformatics↗

bioRxiv2026

Bacterial Membrane Vesicles in Wastewater Disseminate Antibiotic Resistance Genes

Bacterial membrane vesicles (BMVs) have emerged as important contributors to the dissemination of antibiotic resistance genes (ARGs) in the environment. Here, we developed a high-performance immunomagnetic isolation method that improves the purity and selectivity of BMV recovery from wastewater, minimizes contamination from eDNA and viruses, and enables differentiation of BMVs originating from Gram-positive versus Gram-negative bacteria with minimal cross-reactivity. Using this approach, we found that ARGs such as the kanamycin resistance gene (kanR) was highly abundant in BMVs from both raw and treated wastewater, exhibited persistence following treatment, and retained the ability to generate antibiotic-resistant bacteria via transformation. Metagenomic sequencing further revealed that tetracycline resistance genes were the most abundant ARG class across all wastewater samples, while the composition of BMV-associated ARGs differed from the bulk ARG profile. These findings highlight the critical yet underrecognized role of BMVs in the spread of antimicrobial resistance and underscore the need to address BMV-mediated pathways within a One Health framework linking environmental and human health.

microbiology↗

bioRxiv2026

Fibrillation of the Pseudomonas Extracellular Functional Amyloid FapC is Controlled by Oligomeric State, Hierarchical Architecture and the C-Terminus

Functional amyloids enable bacteria to harness the exceptional stability of the amyloid fold while preventing uncontrolled aggregation. However, the molecular mechanisms that encode this balance between robustness and regulation remain incompletely understood. Here, we define how the Pseudomonas functional amyloid FapC, a secreted extracellular functional amyloid in bacterial biofilm, achieves controlled fibril assembly through a modular architecture and a short C-terminal regulatory element. Using controlled purification, modular truncation constructs, and quantitative kinetic assays, we reveal that full-length FapC fibrillation, comprising three irregular layers, is highly sensitive to its initial oligomeric state. Non-monomeric species exert opposing effects: high-molecular-weight assemblies accelerate aggregation via heterogeneous nucleation, while low-molecular-weight species potently inhibit productive assembly. In contrast, isolated single Layer 3, a structurally defined {beta}-solenoid segment, fibrillates rapidly with minimal lag and is largely insensitive to oligomeric heterogeneity, identifying it as a dominant amyloidogenic unit. Yet, despite its minimal architecture, Layer 3 still benefits from the presence of the C-terminal region, which enhances fibrillation rate and yield. Removal of this C-terminal segment delays nucleation, slows elongation, and reduces final fibril formation in both full-length and Layer 3 contexts, highlighting its role as a non-structural regulator of productive folding. Comparative studies show that hierarchical layering imposes kinetic checkpoints and expands regulatory potential, tuning the timing and efficiency of assembly. Together, our results establish that FapC encodes a fibrillation mechanism built on hierarchical architectural design and localized sequence-specific regulation. This suggests that precise control, rather than mere aggregation propensity, maybe the defining hallmark of functional amyloids, distinguishing them from their pathological counterparts.

biophysics↗

bioRxiv2026

Impairing NK-mediated immune rejection through NKG2DL editing to improve CAR-T cell persistence

CAR-T immunotherapy has achieved remarkable efficacy in hematologic malignancies. However, the widespread clinical adoption of autologous CAR-T products remains constrained by high costs, lengthy manufacturing process, and limited accessibility. Universal or off the shelf CAR-T (UCAR-T) cells derived from healthy donors offer a promising alternative, enabling immediate treatment at a lower cost. However, the allogeneic nature of UCAR-T cells triggers immune rejection by the host immune system after infusion, thereby compromising their persistence and therapeutic efficacy. Current strategies to circumvent this rejection focus on disrupting HLA class I expression. Although this modification allows UCAR-T cells to successfully evade T cell mediated elimination, the loss of HLA class I molecules renders them vulnerable to attack by host natural killer (NK) cells. In contrast to previous approaches that attempt to retain certain non-classical HLA molecules (such as HLA-E or HLA-G) to inhibit NK cells, we directly focused on editing the ligands that mediate NK cell rejection. Through transcriptomic and in vitro validation analyses, we found that UL16 binding proteins (ULBP) 2/5/6 were substantially upregulated in UCAR-T cells compared with nontransduced donor T cells. Elevated ULBP expression effectively activates the NKG2D receptor on allogeneic NK cells and leads to killing of UCAR-T cells, thereby impairing UCAR-T function. To test whether abrogating this NK activating signal could improve UCAR-T persistence and antitumor efficacy, we generated ULBP knockout UCAR-T cells using CRISPR-Cas9 editing. Deletion of ULBP2/5/6 significantly reduced NK cell mediated killing in vitro without affecting CAR expression or T cell effector function. Compared with wild type UCAR-T cells, ULBP deficient UCAR-T cells exhibited enhanced tumor killing efficacy in the presence of NK cells. Collectively, our findings identify ULBP upregulation as one of the mechanisms underlying NK cell mediated rejection of HLA deficient UCAR-T cells. Targeted ablation of ULBP molecules provides a novel strategy to confer resistance to host NK cells, thereby improving the therapeutic potential of universal CAR T products.

immunology↗

bioRxiv2026

Quantal PCR: A Calibrator-Free Method for Determining the Unit for Nucleic Acid Quantification

Quantitative polymerase chain reaction (qPCR) is limited in measuring absolute nucleic acid copy numbers due to the inherent variability of calibrators. Here, we introduce the Quantal PCR (quPCR), a novel method that eliminates the need for calibrators by defining an intrinsic quantal unit derived from the thermodynamic and kinetic properties of the replication system. This approach first determines amplification efficiency at high template concentrations, which is then used as the replication probability to construct quantification cycle (Cq) distribution profiles. These profiles are compared with those from limiting dilution PCR to derive the Cq value for the minimal quantal-replication unit ("quCq"), enabling calculation of the sample copy number. Validation using a dual-target DNA template showed near-identical copy numbers using two distinct target-specific replication systems. Thus, quPCR represents a new method for absolute nucleic acid quantification at the single-molecule level, offering a calibrator-free alternative for absolute quantification.

biochemistry↗

bioRxiv2026

Gn1a rice promotes symbiotic fish growth via reprogramming soil microbiome

Rice-fish symbiotic ecosystems significantly contribute to world food supply. Mutation in rice (Oryza sativa) quantitative trait locus Gn1a, encoding a cytokinin oxidase/dehydrogenase (OsCKX2), leads to cytokinin accumulation in plant, which promotes tillering and panicle branching to achieved higher yield and also shows a selective effect on soil microbial composition. Given that the growth of aquatic animals can be shaped by their surrounding microbial communities, we asked whether adjusting rice cytokinin levels might synergistically boosts both rice yield and fish growth. Herein, we co-cultured common carp (Cyprinus carpio) with ckx2 rice plants to determine the effect of cytokinins on fish. Surprisingly, compared to wild-type plants, the ckx2 plants enhanced nearly 10% fish growth and improved fish antibacterial capacity against Aeromonas hydrophila and Edwardsiella tarda. In fact, the growth-promoting effect on fish requires mediation by the soil microbiota. Mechanistically, ckx2 plants secreted more cytokinins into soil to reprogram the microbial composition, which subsequently translocated to fish gut and modulated the keystone microbes in gut to facilitate short-chain fatty acid production and carbohydrate degradation. These findings provide the first evidence that rice-derived cytokinins exert a cross-kingdom growth-promoting effect on fish, providing a boosting dual-production strategy for advancing rice-fish symbiotic ecosystem.

plant biology↗

bioRxiv2026

Discovery of potent oligopeptides for various metabolic diseases using deep learning

Artificial intelligence (AI)-based methods are increasingly critical in peptide drug discovery, but their applications are limited in a narrow scope such as antimicrobial peptides. For indications where peptide therapy inherently excels, such as metabolism, endocrinology, and tissue regeneration, AI-based pipeline for therapeutic peptide discovery is long awaited but still unmet. Here, we propose a deep learning-based pipeline, Deepeptide, capable of identifying therapeutic oligopeptides for various metabolism-related indications. Leveraging the intrinsical relationship of disease indication -- biological processes -- molecular functions, Deepeptide discovers oligopeptides with indication-ameliorating-related molecular functions as lead candidates for indication of interest. Deepeptide was applied in five representative indications of metabolism, endocrinology, and tissue regeneration: angiogenesis, lipid metabolism, osteogenesis, glucose metabolism, and anti-angiogenesis. Overall, 62% of the identified oligopeptide candidates demonstrated significant bioactivity in vitro, with most of them showing comparable potency to the first-line drugs. Notably, the heptapeptide AP7 exhibited angiogenic potency comparable to VEGF in excisional wound splinting mouse model by promoting cell migration rather than proliferation, and hexapeptide TP6 showed significant dual-efficacy against hyperlipidemia and obesity in high-fat diet mice by inhibiting lipid synthesis and regulating gut microbiota. These findings highlight the potential and generalizability of Deepeptide in therapeutic oligopeptide discovery for metabolic diseases.

bioinformatics↗

bioRxiv2026

Probiotic phage steering of disease suppressive rhizosphere microbiome

Current phage therapy approaches predominantly focus on targeting pathogenic bacteria, overlooking the vast potential of phages that interact with beneficial, plant growth-promoting (probiotic) bacteria. Here we tested if a single phage targeting a probiotic Stenotrophomonas maltophilia bacterium can steer the rhizosphere microbiome disease suppressiveness against Ralstonia solanacearum phytopathogen. We find that S. maltophilia quickly evolves resistance to its phage via mutations in ssb and TonB genes and by upregulating anti-phage defense systems. Crucially, evolution of phage resistance reprograms the bacterial transcriptome and metabolome, leading to unexpectedly enhanced antimicrobial activity against the R. solanacearum. Furthermore, exposing S. maltophilia to phage in the tomato rhizosphere increases the microbiota-wide disease suppressiveness by stabilizing bacterial diversity and facilitating pathogen suppression by other resident species. Our findings suggest that probiotic-specific phages could be used as ecological and evolutionary engineers to steer the rhizosphere microbiome disease suppressiveness through activation of antagonistic bacterial interactions.

evolutionary biology↗

bioRxiv2025

Dose-dependent NFI regulation of progenitor lifespan and output underlying human neocortical malformation

Nuclear Factor I (NFI) misexpressions in humans are associated with severe brain malformations, yet the underlying mechanisms remain poorly understood. Here we show that NFIs regulate the broad lineage progression and lifespan of radial glial progenitors (RGPs), and consequently neocortical development in a dose-dependent manner. Human cerebral organoids carrying patient-mimicking NFI mutations exhibit expression level-dependent bidirectional impairments in RGP temporal development, coinciding with patient phenotypes. In mouse models, selective removal of NFIs leads to a dramatic protraction of RGP lineage progression and lifespan, excessive progeny output, and neocortical overgrowth and abnormal folding, whereas overexpression of NFIs accelerates RGP lineage progression, resulting in developmental stage-dependent precocious productions of diverse neural progenies. Moreover, NFIs exhibit a positive auto-regulation and progressive increase in expression, and regulate distinct temporal-specific targets underlying RGP lineage progression. These results suggest that NFIs act as evolutionarily conserved key global temporal regulators of RGP lineage progression and neocortical development. HIGHLIGHTSO_LINFIs affect human RGP temporal development coinciding with patient phenotypes. C_LIO_LINFI removal protracts RGP lineage progression and lifespan with excessive progeny output. C_LIO_LINFI overexpression accelerates RGP lineage progression with precocious progeny output. C_LIO_LINFIs regulate distinct temporal-specific targets underlying RGP lineage progression. C_LI

neuroscience↗

bioRxiv2025

A minor muscle stem cell population functions as metabolic Trojan horse fueling systemic aging by succinate induced epigenetic reprogramming

Inflammaging, the sustained chronic inflammation, is a hallmark of aging, yet its sustained activation mechanism remains elusive. Here, we identified muscle stem cells (MuSCs) as a driver of systemic inflammaging, evidenced by the multi-organ inflammation and aging phenotypes in MuSC specific Tet2 knockout mice. Tet2-Hdac11-Acod1-SDH axis maintained normal succinate level in MuSCs. Tet2 knockout disrupted this enzymatic cascade and led to succinate accumulation, fueling H4K31succ elevation to directly activate inflammatory gene transcription in MuSCs. The excess succinate was delivered to muscle fibers by sporadic fusion of Tet2 knockout MuSCs during muscle homeostasis, activated pro-inflammatory program, and transformed muscle to a persistent pro-inflammatory factor secretory organ, sustaining systemic inflammaging. Moreover, Tet2 was downregulated in aged MuSCs suggesting that this coupled metabolic-epigenetic mechanism was active in physiological aging. These findings reveal that a small subset of dysregulated MuSCs activate sustained whole-body inflammaging and multi-organ aging, providing new targets for rejuvenation strategy development.

cell biology↗