Biology subjects

Wu, J.

Publications and source records attributed to Wu, J..

At least 91 records · Page 5Linked to original sources

bioRxiv2026

Neural Substrates of Duration Serial Dependence: Opposing Modulation in Basal Ganglia and Posterior Medial Cortex

Perceptual judgments are systematically biased toward recent experience, a phenomenon called serial dependence. The brain circuits underlying this effect in time perception remain unknown. Using fMRI, we identified the neural substrates of duration serial dependence and tested whether they overlap with those for motion direction. Twenty-seven participants reproduced either the duration or direction of a visual stimulus; a retro-cue revealed which feature to report 3-s after stimulus onset, separating memory-trace signals from task-switching signals. Duration serial dependence was robust and roughly four times stronger on task-repeat than task-switch trials; direction serial dependence was near zero. The previous duration produced opposing responses in the bilateral putamen (suppression) and in the posterior cingulate cortex and precuneus (reinstatement); no analogous signal emerged for direction. Task switching from direction to time task engaged the inferior frontal junction and the dorsolateral prefrontal cortex, which carried no serial dependence signal. The anatomical dissociation resolves the behavioral pattern: the duration trace is encoded in the putamen and posterior medial cortex on every trial, but task-set reconfiguration by the frontoparietal network gates its read-out into behavior, explaining the task repetition effect. These results reveal a dissociation between two functionally distinct circuits: the putamen and posterior cingulate/precuneus carry signals from the previous trial, whereas frontoparietal regions support task switching but carry little serial dependence information.

neuroscience↗

bioRxiv2026

A graph-based pangenome reveals the genetic basis of climate-resilient and horticultural traits in pear

Climate change poses an increasing threat to the cultivation of deciduous fruit trees, placing greater demands on modern pear breeding. Using pear germplasm adapted to diverse environments, we assembled 11 chromosome-level genomes. In combination with 13 publicly accessible pear genomes, we analyzed presence-absence variations (PAVs) and constructed a graph-based pangenome for pear. By performing a PAV-eQTL analysis of the fruit of 123 pear accessions, we identified PAVs significantly associated with expression levels of genes that may be involved in regulating agronomic traits. Population analysis of 268 pear accessions revealed two stop-gained variants in DAM1 of independent origin, which may function in advancing the blooming date and reducing the chilling requirement. We detected complex PAVs at the NOR1 locus, including two copy-number variations and one deletion. These PAVs contributed to the rapid diversification of the NOR1 locus and the fruit development period through regulating ARF5 and other ripening-related genes. We revealed the selection history of the NOR1 locus and developed novel pear individuals that accumulated alleles for low chilling requirement, early blooming date, and short fruit development period. The results provide valuable resources for pear genomics research and offer a guideline for breeding modern pears with climate resilience.

plant biology↗

bioRxiv2026

Immune receptor LAG3 regulates microglia function duringAlzheimer's disease

Alzheimers Disease (AD) remains the leading cause of dementia globally, yet the exact etiology is not well defined and effective treatments remain unavailable. Here, we report that deletion of the immune checkpoint receptor lymphocyte activation gene 3 (Lag3) in a familial AD mouse model, 5xFAD+, can rescue molecular, cellular and behavioral phenotypes of neurodegeneration. Specifically, we demonstrate that amyloidosis and microgliosis in the 5xFAD+ mice are significantly reduced by Lag3 deletion. Moreover, we show that Lag3 deletion attenuates deficits in neurodegeneration-related behavioral phenotypes in the 5xFAD+ mice. Transcriptional profiling reveals that Lag3 deletion suppresses aberrant overexpression of disease associated microglia (DAM) genes in 5xFAD+ microglia, effectively restoring homeostatic transcriptional programs. Finally, we observe reduced CD8+ T cell infiltration in the brain of 5xFAD+ animals after Lag3 deletion which likely mediates molecular, cellular and behavioral effects resulting from microglia DAM gene activation. Our results highlight a previously unrecognized role for Lag3 in AD as a critical regulator of microglia function and suggest Lag3 might be a viable target for novel AD therapeutic interventions. HighlightsO_LIImmune receptor Lag3 deletion ameliorates amyloidosis and microgliosis during AD C_LIO_LILag3 deletion attenuates deficits in neurodegeneration-related behavioral phenotypes C_LIO_LILag3 deletion reverses aberrant activation of DAM genes and restores microglia homeostasis C_LIO_LILag3 inhibition presents a viable approach for novel AD therapeutic interventions C_LI

neuroscience↗

bioRxiv2026

Species diversity increases information flow about predation in bird communities

The Biodiversity-Ecosystem Functioning (BEF) literature has shown species diversity to be essential for ecosystem functioning and services. Yet although acquiring information through interspecific networks can impact ecosystem functioning, it is unclear how it is modulated by species diversity. Eliciting vocal responses using predator models across a latitudinal gradient, we first show that the species diversity of birds increases public information about predation both in the low-cost system of mobbing and in the higher-cost system of alarm calls. A similar result was also found across a fragment area gradient for mobbing; this system was then used to test how species diversity affects interspecific information flow in mobbing communities. We set up two BEF playback experiments, manipulating the species richness level of the playback sound files by varying the number of species producing mobbing calls (one, two, four, eight species). In an experiment in which the call rate across treatments was held constant, and only heterospecific responses were counted, increasing species richness of the sound files increased the number of species and individuals responding, the number of calls produced and their frequency range, and decreased latency to call. An experiment in which call rate increased with the addition of species in each treatment showed a similar, but stronger pattern. There was little evidence that the signals of one particular species changed responses. This supports the hypothesis that the species diversity of a community is a key component influencing the quantity and quality of information flow inside it.

ecology↗

bioRxiv2026

The variable wheat stripe rust effector AvrYr7 evades Yr7 recognition through sequence and expression polymorphisms

Introductory paragraphWheat provides about 20% of total dietary calories worldside1. Wheat diseases, including wheat stripe (yellow) rust, cause billions of dollars in losses each year2. Wheat stripe (yellow) rust is caused by the fungal pathogen Puccinia striiformis f. sp. tritici (Pst) which is best controlled by fungicide application and disease resistant wheat cultivars3. To-date, there are over 80 catalogued and >10 cloned yellow rust resistance genes (Yr genes)4. Yet our knowledge of corresponding avirulence (Avr) genes lags far behind5-8. The absence of cloned Avrs reflects Psts complex genome and the lack of robust transformation and genetic systems3. Recent advances in generating high-quality genome assemblies and the development of wheat defense assays have addressed these challenges9-11. Here we clone AvrYr7 which is recognized by Yr712. We further identify six additional alleles of AvrYr7 that escape recognition due to non-synonymous genetic variations, transposable element activity, missense mutation, and expression polymorphism. These findings provide critical insights into virulence evolution in one of the worlds most important wheat pathogens.

plant biology↗

bioRxiv2026

Spatial imprints of emergent cardiomyocyte states in the pressure-overloaded heart

Resilience to cardiac stress is essential for health, yet the relationship between cardiomyocyte (CM) stress response and local microenvironment remains unclear. Here, we combined MERFISH spatial transcriptome profiling with Cellouette, an improved cell segmentation method, to determine CM-microenvironment relationships in a mouse model of ventricular pressure overload. We report the shape, transcription profile, spatial organization, and physical connectivity for >400,000 cells across stressed and healthy tissues. Under stress, CMs adopted a spectrum of emergent transcriptional states, with advanced states marked by a metabolic and pro-fibrotic shift. To discover CM-environment relationships, we performed a network analysis of physical cell connectivity combined with cell-type-specific profiling. We found that pro-fibrotic CM progression was tightly linked to distinct local microenvironments, and CM metabolic shifts could be inferred from transcriptional patterns in neighboring non-CM cells, revealing microenvironmental imprints of disease. We thus provide a resource for understanding the heterogeneity of outcome during cardiac pressure overload. HighlightsO_LICellouette provides accurate segmentation for single-cell spatial transcriptomics in cardiac tissue. C_LIO_LIPressure overload creates spatial gradients of cardiomyocyte pro-fibrotic states. C_LIO_LICardiomyocyte pro-fibrotic progression is linked to changes in local cell composition and gene expression. C_LIO_LITranscriptional states of non-muscle cells predict metabolic state of adjacent cardiomyocytes. C_LI

genomics↗

bioRxiv2026

Genetic suppression of myeloid receptor Clec7a attenuates microglia neuroinflammation and promotes microglial phagocytosis to delay disease progression in ALS models

Microglial activation has been closely associated with accelerated ALS disease progression. However, specific microglial pathways that regulate microglial activation and ALS disease progression remain limitedly understood. Here, we determined the role of Clec7a (or Dectin-1), a core signature gene of disease-associated microglia (DAM) in ALS, in regulating microglial activation and ALS disease progression. Our spinal cord scRNA-Seq results found that Clec7a deficiency specifically attenuated microglial neuroimmune gene expression in SOD1G93A mice and human ALS. In addition, in vivo two-photon imaging of human (h) TDP43 phagocytosis by microglia in the cortex showed that Clec7a deficiency promotes microglial phagocytosis of pathological hTDP43 by enhancing microglial process dynamics. Subsequent survival analysis further showed that selective deletion of Clec7a in microglia mitigates motor neuron degeneration and delays disease progression in SOD1G93A ALS mice. Together, our results establish that Clec7a is a key regulator in shaping disease microglial functions and promotes disease progression in ALS.

neuroscience↗

bioRxiv2026

A Decade of Deep Learning-based Biomedical Image Segmentation

Biomedical image segmentation is a fundamental problem in computational biomedicine that aims to precisely delineate anatomical and biological structures, tissue types, or pathological regions in biomedical images. Accurate segmentation is essential for interpretation, decision-making, and quantitative analysis across a wide range of biological and medical applications. Over the past decade, the field has undergone a profound paradigm shift, evolving from task-specific specialist models to universal foundation models. This review provides an in-depth analysis of the evolution, tracing how the limitations of local discriminative learning drove the transition toward transformer-based global modeling, and large-scale generative pre-training. To help navigate the diverse landscape of interaction paradigms, we introduce the first systematic taxonomy of promptable biomedical image segmentation, categorizing existing methods into six distinct types, enabling users to intuitively select appropriate prompting strategies based on visual demonstrations and quickly pinpoint relevant literature (Prompt Type Visualization). Beyond model architectures, we discuss parallel advancements in dataset development, evaluation protocols, and application-specific adaptations across radiology, pathology, and biology. Integrating these powerful foundation models with rigorous domain-specific adaptation has great potential to improve patient outcomes and healthcare efficiency. Finally, we highlight key challenges in trustworthiness and clinical integration that must be overcome to realize the potential of the next generation of biological and medical generalists.

bioengineering↗

bioRxiv2026

RIPK3 suppresses photoreceptor degeneration in a Stargardt disease mouse model

Autosomal recessive Stargardt disease type 1 (STGD1) is the most prevalent inherited juvenile macular degeneration, ultimately leading to irreversible blindness through photoreceptor cell loss, yet the underlying cell death mechanisms remain poorly defined. Receptor-interacting protein kinase 3 (RIPK3) is a well-established mediator of necroptosis and, under certain circumstances, apoptosis downstream of TNF family ligands, and it was found to be progressively upregulated in the retina of a STGD1 abca4-/-rdh8-/- (DKO) mouse model coinciding with the onset and progression of photoreceptor degeneration. Despite elevated RIPK3 expression, necroptosis was not detectable in this model, as evidenced by the absence of phosphorylated MLKL and unaltered photoreceptor degeneration in abca4-/- rdh8-/-mlkl-/- mice. Intriguingly, genetic ablation of Ripk3 exacerbated photoreceptor loss in DKO mice in both chronic (age-dependent) and acute (light-induced) retinal degeneration paradigms. This detrimental effect was partially ameliorated by pan-caspase inhibition in the acute degeneration model, indicating caspase-dependent apoptosis as the primary executioner. Mechanistically, we demonstrated that RIPK3 suppressed extrinsic apoptosis by attenuating caspase-8 activation downstream of TNF family ligands. Collectively, our findings reveal a non-canonical, protective role of RIPK3 in photoreceptors, as a brake on apoptotic signaling rather than a necroptotic executor, in the context of STGD1. These findings redefine the role of RIPK3 in retinal degeneration and emphasize the contextual plasticity of cell death regulators in neurodegenerative diseases.

neuroscience↗

bioRxiv2026

Holomycin from Yersinia ruckeri mediates fish infection at low temperature

Why microbes invest energy in producing structurally complex natural products at extremely low concentrations within hosts remains an important topic of interest in microbial ecology. This is because such compounds with potential "biomolecular activities" can reflect molecule-target interactions, thereby providing conceptual and mechanistic insights that inform the rational design of essential clinical agents. Here, we uncover the in situ ecological function of the dithiolopyrrolone antibiotic holomycin produced by the fish pathogen Yersinia ruckeri. We show that holomycins biosynthesis is strictly gated by low temperature and that trace amounts of holomycin accumulate in vivo during infection in rainbow trout. In addition, the holomycin-deficient mutant leads to markedly reduced virulence. Integrated multiomics, phenotypic analyses, and in vivo bioassay test reveal that holomycin is not a direct lethal factor but instead remodels host-associated microbiota and enhances Y. ruckeri biofilm formation. These coordinated effects promote pathogen colonization and infection progression. Our findings establish holomycin as a host-associated effector and illustrate how its existence and ecological function are mechanistically intertwined in the evolution of pathogenic bacterial chemical arsenals.

microbiology↗

bioRxiv2026

GenNA: Conditional generation of nucleotide sequences guided by natural-language annotations

Deciphering the mapping between linear biomolecular sequences and complex biological functions remains a central challenge in genomics. Although existing generative nucleotide language models have made substantial progress in modeling sequence distributions, they generally lack explicit access to high-level biological semantics, limiting their ability to support semantics-guided conditional generation. To address this limitation, we present GenNA, a generative nucleotide foundation model guided by natural-language annotations. GenNA is pretrained on a multimodal nucleotide-text corpus spanning 2,221 eukaryotic species and comprising approximately 416 billion characters, and learns the relationships between sequence patterns and functional annotations within a unified autoregressive framework. Systematic evaluations show that, even without explicit supervision from biological rules, GenNA yields distinguishable perplexity scores in response to semantic mismatches between sequences and functional annotations, to different mutation types, and to perturbations of species labels. Moreover, across a range of natural-language-guided nucleotide generation tasks, the model produces sequences consistent with both target semantics and species context. Overall, GenNA provides a unified framework for natural-language-guided nucleotide modeling and conditional generation, and offers a feasible route toward integrating high-level functional descriptions with low-level sequence design.

bioinformatics↗

bioRxiv2026

scTrends: automated classification and strength quantification of gene expression trends along pseudotime in single-cell RNA-seq

BackgroundPseudotime inference has become a standard approach for reconstructing dynamic biological processes from single-cell transcriptomic data. However, after a pseudotemporal ordering has been established, systematically identifying and interpreting gene expression trends along pseudotime remains challenging. Existing approaches often rely on clustering-based heuristics or subjective parameter choices, which can compromise interpretability, reproducibility, and scalability in large datasets. ResultsWe present scTrends, an automated and interpretable framework for gene-level trend classification and strength quantification along a given pseudotime trajectory. Importantly, scTrends does not perform pseudotime inference; instead, it operates downstream of established pseudotime methods to characterize expression dynamics once a temporal ordering is available. scTrends models pseudotime-binned gene expression profiles using generalized additive models and assigns genes to predefined temporal trend categories through a hierarchical, rule-based procedure combined with empirical significance testing, data-adaptive parameter selection, and quantitative assessment of trend strength. This enables simultaneous identification of the direction, shape, and magnitude of gene expression changes along pseudotime. We applied scTrends tothree distinct datasets: human PBMC, human brain, and mouse pancreas, using three different pseudotime inference methods (CytoTRACE v2, Monocle3, and scVelo, respectively). scTrends systematically characterized gene expression dynamics during T cell differentiation, oligodendrocyte precursor differentiation, and pancreatic endocrine cell maturation. The analysis revealed diverse monotonic, non-monotonic, and complex expression patterns, with varying strengths, consistent with known biological processes. Benchmarking analyses further demonstrate that scTrends is computationally efficient and scalable to large single-cell datasets, with modest memory requirements, making it suitable for diverse applications across a range of biological systems. ConclusionsscTrends provides a systematic, automated, and resource-efficient solution for gene-level trend analysis in single-cell pseudotime studies, enabling reproducible characterization of dynamic expression patterns across diverse biological systems.

bioinformatics↗

bioRxiv2026

A Rapid 10-Minute Silver Nitrate Staining Method for Visualizing the Osteocyte Lacuno-Canalicular System

AbstractsThe Ploton silver method employs a 50% silver nitrate solution (w/v; 2.943 mol/L) for staining and quantitative analysis of the osteocyte lacuno-canalicular system (LCS). We previously demonstrated that lower silver nitrate concentrations (0.5-1 mol/L) stain the LCS more effectively, revealing a greater number of LCS than the Ploton silver method. However, the staining duration of our initial modified method (60 minutes) remained comparable to that of the Ploton silver method (55 minutes), limiting its broader adoption. Here, we developed a rapid silver nitrate staining method by systematically evaluating the effects of temperature on staining efficacy. We found that incubation at 50-70{degrees}C for 10 minutes with a 1 mol/L silver nitrate solution produced optimal results. This rapid high-temperature method achieved excellent LCS visualization in bone samples from multiple animal species and in mouse pathological models. Moreover, high-temperature staining mitigated the LCS damage and insufficient staining associated with the 50% silver nitrate solution used in the Ploton silver method. This rapid 10-minute silver staining technique, designated the Wu-Wang silver method, provides a more accurate and efficient approach for LCS staining and quantitative analysis. Its adoption will facilitate systematic characterization of LCS morphological variations across vertebrate species, thereby advancing our understanding of osteocyte morphogenesis and the pathogenic mechanisms underlying bone and joint diseases. Graphical abstract (Created in BioRender, https://BioRender.com) O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=155 SRC="FIGDIR/small/719546v1_ufig1.gif" ALT="Figure 1"> View larger version (69K): org.highwire.dtl.DTLVardef@996f66org.highwire.dtl.DTLVardef@160b1a5org.highwire.dtl.DTLVardef@12eee4corg.highwire.dtl.DTLVardef@1edce8_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIElevating the staining temperature to 50-70{degrees}C enabled rapid and efficient silver nitrate staining of the osteocyte lacuna-canalicular system (LCS) within 5-10 minutes using 1 mol/L silver nitrate. C_LIO_LIThe high-temperature Wu-Wang silver method outperformed the conventional Ploton silver method, providing superior osteocyte LCS visualization while eliminating issues of osteocyte LCS damage and insufficient staining observed with the Ploton silver method. C_LI

cell biology↗

bioRxiv2026

Integrated bioinformatics and single-cell analysis identifies vascular aging-related hub genes and immune drivers in atherosclerosis.

Atherosclerosis (AS) is a chronic inflammatory disease closely linked to vascular senescence, yet the specific molecular mechanisms connecting aging processes to AS pathogenesis remain incompletely understood. This study integrated transcriptomic data from GEO datasets (GSE100927 and GSE43292) to identify vascular aging-related differentially expressed genes (VARDEGs). Following batch effect correction, 28 VARDEGs were screened and subjected to functional enrichment, protein-protein interaction (PPI) network analysis, and immune infiltration assessment. Seven hub genes (MMP9, APOE, TNF, ICAM1, PPARG, CYBA, and NCF2) were identified and experimentally validated via qRT-PCR, confirming their significant upregulation in AS samples. Receiver operating characteristic (ROC) analysis demonstrated high diagnostic accuracy for six of these genes (AUC > 0.7), with TNF exhibiting superior performance. Immune infiltration analysis revealed profound alterations in 28 immune cell types, particularly monocytes and T cells, which correlated strongly with hub gene expression. Furthermore, single-cell RNA sequencing analysis (GSE184073) localized the expression of core genes predominantly to monocytes and T cells, highlighting TNF overexpression in T cells as a potential critical driver. Finally, molecular docking simulations suggested that curcumin exhibits strong binding affinity to these hub genes, particularly PPARG, providing a mechanistic basis for its therapeutic potential. Collectively, this study elucidates the landscape of vascular aging-related genes in AS, identifies novel diagnostic biomarkers, and proposes potential therapeutic targets involving immune modulation and natural compounds.

biochemistry↗

bioRxiv2026

Three-dimensional Virtual Adult Cardiomyocyte Transcriptomics

Obtaining transcriptomes of adult cardiomyocytes at single-cell resolution remains challenging due to their large size, elongated morphology, and frequent multinucleation. Although spatial transcriptomics preserves tissue architecture and captures gene expression in situ, current analytical frameworks largely rely on nuclear-based segmentation and are therefore poorly suited to adult cardiomyocytes. Furthermore, individual tissue sections capture only a fraction of a cardiomyocyte, preventing reconstruction of complete cell-level transcriptomes. Here we present three-dimensional virtual cardiomyocyte (3D-VirtualCM), a membrane-guided framework that integrates cell-contour similarity and optimal transport to reconstruct volumetric cardiomyocyte transcriptomes from consecutive spatial transcriptomic sections. Applying 3D-VirtualCM to infarcted adult mouse hearts, we generated a panoramic transcriptomic atlas spanning 100 m thickness at single-cell resolution. 3D-VirtualCM identified spatially and transcriptionally distinct cardiomyocyte populations within the infarct border zone, enabled high-throughput quantification of cardiomyocytes re-entering the cell cycle together with their associated molecular signatures, and revealed heterogeneous RNA distribution along the longitudinal axis of individual cardiomyocytes. By integrating three-dimensional cellular morphology with in situ transcriptomic data, 3D-VirtualCM provides a scalable approach for resolving cardiomyocyte states and spatial organization in physiological and pathological cardiac remodeling.

bioinformatics↗

bioRxiv2026

Ultra-sensitive FLORA-seq links cell-type-specific tRNAome dynamics to differentiation trajectories guiding therapeutic suppressor tRNA candidate selection

Mammalian genomes encode hundreds of tRNA genes, but the role of individual tRNAs in development and cell identity remains unclear. Here, we introduce FLORA-seq, a method for simultaneous, low-input profiling of tRNAs, tRNA-derived RNAs (tdRs) and their modifications from as few as 5-20 cells. Applying FLORA-seq to mouse hematopoiesis revealed 50 high-variance isodecoders whose expression profiles recapitulate known hematopoietic cell types and correlate with differentiation trajectories. At the isoacceptor level, tRNA pools are largely stable within hematopoietic stem and progenitor cells (HSPCs), showing only subtle, specific variations, but become both distinct from HSPCs and internally stable within each terminally differentiated lineage. We further detected dynamic changes in tdR ratios and modification patterns, underscoring precise tRNA regulation during differentiation. Crucially, analysis of 54 endogenous tRNA isodecoders and their engineered suppressor counterparts showed that efficient premature termination codon readthrough preferentially arises from highly expressed cognate isodecoders. This correlation provides a rational framework for prioritizing suppressor tRNA candidates and implies non-redundant functions for individual isodecoders.

molecular biology↗

bioRxiv2026

FXR and BET signaling orchestrate to protect β cells

In both type 1 and type 2 diabetes (T1D and T2D), insulin-producing {beta} cells undergo progressive dysfunction due to inflammation, leading to impaired glucose responsiveness, dedifferentiation, and cell loss. While bile acid (BA) dysregulation under diabetic conditions is known to influence metabolic and inflammatory pathways, its mechanistic role in {beta} cell regulation remains incompletely defined1-3. Here we show that bile acid sensor Farnesoid X receptor (FXR) and Bromodomain and Extra-Terminal motif (BET) signaling cooperatively regulates {beta} cell inflammatory response and {beta} cell identity. We identified the physiological protein-protein interaction between FXR and the bromodomain-containing protein 4 (BRD4) as a regulatory axis that protects against {beta} cell dysfunction. We show that FXR activation by Fexaramine (Fex) together with BRD4 inhibition by JQ1 synergistically suppressed IL-1{beta}-induced inflammation while also improving {beta} cell identity and insulin secretion in both db/db model and high-fat diet (HFD) plus multi low-dose streptozotocin (MLD-STZ) model of diabetes. Importantly, this cooperative effect is abolished in {beta} cell-specific FXR knockout ({beta}FXRKO) mice, establishing that FXR is required for the functional synergy between these pathways in vivo. Mechanistically, structure-guided modeling and mutational analyses identified a direct interaction between FXR and the BD2 domain of BRD4, depending on specific lysine acetylation sites. Additionally, inhibition of the BD2 domain of BET combined with FXR activation markedly improved {beta} cell survival in human T1D and T2D models established from human pluripotent stem cell (hPSC)-derived islet-like organoids (HILOs). Collectively, these findings establish a BA-bromodomain axis as a transcriptional interface linking metabolic signaling and chromatin regulation, and highlight FXR-BET targeting as a promising strategy to counter progressive {beta} cell failure in diabetes.

molecular biology↗

bioRxiv2026

Retinoic acid resolves the conflict between X-chromosome inactivation and pluripotency program in female cleavage-stage embryos

The tight coupling of X-chromosome inactivation (XCI) and pluripotency is a paradigm of holistic developmental regulation, and their inverse correlation enables XCI establishment during implantation. In contrast, the co-establishment of imprinted XCI (iXCI) and pluripotency program in female preimplantation embryos challenges the holistic pattern, but how embryos coordinate the two remains unknown. Here, we find that Nanog during the cleavage stage strongly represses the co-upregulated Rnf12-Xist axis, the triggering signaling of iXCI, creating a conflict that threatens iXCI. We identify retinoic acid (RA) as the coordinator that resolves the conflict and safeguards iXCI. RA activates its receptor RARG to evict NANOG from Rnf12 5region, avoiding NANOGs threat. In vivo, either maternal vitamin A deficiency or embryonic RA synthesis defects results in impaired iXCI and female-biased embryonic lethality. Thus, we highlight RA as a master regulator to holistically balance iXCI and pluripotency during cleavage stages, thereby ensuring proper female embryogenesis.

developmental biology↗