Biology subjects

Wu, S.

Publications and source records attributed to Wu, S..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

The cellular and genetic basis of inflorescence divergence between maize and teosinte

The domestication of maize from teosinte involved dramatic remodeling of the ear, yet the cellular and genetic bases of this transformation remain unclear. Here, we generate a single-nucleus and spatial transcriptome atlas of developing maize and teosinte ears. Comparative analysis reveals divergence in cob-associated cell types, with enhanced cytokinin signaling and reduced growth-inhibitory signals collectively driving cob thickening and enlargement in maize. We further demonstrate that domestication expanded the spatial expression domain of key transcription factors in maize meristem cells, enhancing the potential for increasing kernel number. Additionally, we verified a major domestication gene, ZmSPD1, in which two nonsynonymous SNPs differentiate maize from teosinte and alter jasmonic acid (JA) levels in the ear, thereby suppressing spikelet abortion to effectively double kernel production. These findings provide a cell-resolved mechanistic framework for how cob architecture and kernel number were shaped during maize domestication, offering new insights into the formation of key agronomic traits.

plant biology↗

bioRxiv2026

Resolving the immune response across clonal cancer evolution in situ with whole transcriptome profiling

Single-cell spatial transcriptomics is now central to studying tumors in their native tissue context. Here we present the first comprehensive, independent evaluation of Atera, a new spatial whole-transcriptome platform, compared with Xenium in human ductal carcinoma in situ (DCIS). We show that Atera enables granular cell-state annotation and resolves rare cell populations, experimentally validated by multiplex immunofluorescence (IF). We further show that its transcriptome-wide coverage enables inference of copy-number alterations at single-cell resolution, allowing us to reconstruct the clonal evolution of DCIS. We orthogonally confirm the inferred copy-number alterations by whole-genome sequencing of 16 microdissected tumor regions from consecutive tissue sections. Finally, by mapping the immune microenvironment onto this clonal architecture, we demonstrate the feasibility of tracking the changes in immune response along the clonal tumor evolution in situ. Together, our results establish Atera as a validated platform for tracking clonal evolution and immune adaptation in clinical samples.

bioinformatics↗

bioRxiv2026

Copper chelation reprograms the tumour microenvironment to enhance immune checkpoint blockade therapy in preclinical mesothelioma

Immune checkpoint blockade provides durable benefit to only a minority of patients with pleural mesothelioma. Here we investigated whether targeting copper homeostasis could enhance anti-tumour immunity and improve responses to immune checkpoint blockade. Copper homeostasis genes were upregulated in human mesothelioma, localised to malignant and stromal cells but downregulated in lymphocytes. In murine mesothelioma, these genes were dynamically regulated during anti-CTLA-4 and anti-PD-1 therapy. Treatment with copper chelator triethylenetetramine reduced intratumoural copper, increased cytotoxic lymphocytes, and enriched inflammatory genes in tumour-infiltrating myeloid and lymphoid compartments. Furthermore, copper chelation enhanced anti-CTLA-4 and anti-PD-1 therapy in immunocompetent mesothelioma mouse models, leading to durable tumour control. Our findings identify copper homeostasis as a therapeutic vulnerability in mesothelioma and support clinical evaluation of copper depletion with first-line immune checkpoint blockade.

immunology↗

bioRxiv2026

Catch-bond engineering surpasses high-affinity maturation for T cell receptor therapies against solid tumors

The sensitivity of T cell receptors (TCRs) has traditionally been attributed to their affinity, a principle that has long underpinned both T cell biology and TCR engineering. Currently, high-affinity maturation remains the predominant strategy employed to enhance TCR sensitivity; however, this approach has been associated with severe off-target toxicities in clinical settings. In this study, using the only FDA-approved TCR-T therapy as a clinical reference, we demonstrate that force-induced catch bonds, rather than static affinity, primarily determine TCR sensitivity and facilitate the development of more effective TCR engineering strategies. Among polar and charged amino acids, histidine was determined to be the most effective residue for pinpointing engineering hotspots. TCRs engineered to form catch bonds exhibited superior performance compared to the FDA-approved TCR subjected to high-affinity maturation, improving the efficacy of TCR-T cell therapies against solid tumors without eliciting off-target toxicity or alloreactivity. Mechanistically, a correlation was observed between TCR sensitivity and the strength of catch bonds, whereas no such relationship was found with affinity. The duration of T cell-tumor cell interactions, immunological synapse formation, and the intensity of subsequent signaling are governed by catch bonds rather than by affinity. Structural and computational investigations have demonstrated that force-induced reconfiguration of the ligand-receptor interface, along with the formation of a novel hydrogen bond network, augments the specificity of interactions between the TCR and antigenic peptides. Furthermore, bispecific T cell engagers utilizing the TCR scaffold also formed catch bonds with tumor antigens, indicating intrinsic mechanosensory properties of the extracellular domains of TCRs and suggesting a novel therapeutic modality based on catch-bond-engineered TCRs.

immunology↗

bioRxiv2026

Spatium: A Protein Language Foundation Model for Spatial Proteomics

Spatial proteomics provides single-cell protein measurements under highly constrained and heterogeneous protein panels across datasets, resulting in limited and partially overlapping measurement spaces for cellular characterization. Existing analyses predominantly rely on statistical or task-specific modeling, while learning scalable representations of spatial protein data remain underexplored. This gap motivates the need for models that can learn stable representations of cellular identity from constrained protein measurements. Here we introduce Spatium, a protein language foundation model trained on over 51 million cells across multiple spatial proteomics platforms. Spatium learns intrinsic co-expression hierarchies that capture cell identity in a manner robust to panel composition and measurement scale. Spatium builds a generalizable representation of cell states grounded in biologically interpretable protein expression patterns. We demonstrate that Spatium learns biologically meaningful cell representations across multiple downstream tasks. Spatium recovers accurate cell identities with marker expression patterns consistent with known biology and reveals functionally distinct spatial microenvironments characterized by coherent marker enrichment signatures. It further enables reconstruction of missing protein measurements while preserving biologically meaningful expression patterns. Across these analyses, Spatium demonstrates stable and interpretable performance with lightweight task-specific adaptation, highlighting the robustness of the learned representations across diverse biological and experimental contexts.

bioinformatics↗

bioRxiv2026

SFPQ dysregulation promotes TDP-43 pathology through a pathogenic feedback loop

TDP-43 proteinopathies comprise a group of clinically distinct neurodegenerative disorders unified by common pathological changes in the RNA-binding protein TDP-43, including nuclear loss of function (LOF), cytoplasmic mislocalisation and aggregation. The presence of these hallmarks across diverse diseases, such as frontotemporal dementia (FTD), amyotrophic lateral sclerosis (ALS), alzheimers disease (AD) and Limbic-predominant Age-related TDP-43 Encephalopathy (LATE), suggests the involvement of convergent upstream regulatory mechanisms. This study identified SFPQ (Splicing Factor Proline and Glutamine Rich) as one such factor. The depletion of nuclear SFPQ, in addition to its cytoplasmic accumulation and aggregation has been described across ALS, AD and FTD patient studies and in multiple genetic models of these diseases. Evidence to date places SFPQ pathology downstream of TDP-43 dysfunction. This study provided further evidence that TDP-43 drives SFPQ pathology while revealing a reciprocal role for SFPQ in regulating TDP-43 homeostasis. Our data shoed that SFPQ LOF was associated with a shift in TDP-43 RNA isoform usage away from the canonical protein-coding transcript towards isoforms predicted to undergo nonsense-mediated decay (NMD). Consistent with this, TDP-43 protein expression was reduced across multiple model systems in which SFPQ expression was suppressed. Furthermore, cytoplasmic accumulation of SFPQ was found to promote the mislocalisation of TDP-43 and its sequestration within SFPQ-containing cytoplasmic condensates that exhibited progressively reduced molecular mobility over time. Collectively, these findings identify SFPQ as an active contributor to multiple facets of TDP-43 pathology, support a bidirectional relationship between the two proteins, and suggest the existence of a feed-forward, self-amplifying mechanism that may contribute to disease progression in TDP-43 proteinopathies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/740184v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@12855eorg.highwire.dtl.DTLVardef@1f1e068org.highwire.dtl.DTLVardef@c3fb00org.highwire.dtl.DTLVardef@93f0ae_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2026

Lineage-specific expansion of a potential novel class of resistance genes in Myrtaceae

Genes encoding intracellular nucleotide-binding site leucine-rich repeat (NBS-LRR) receptors represent the largest class of resistance (R) genes in plants, yet their evolutionary trajectory in trees remains poorly understood. Using high-quality long-read genome assemblies from eight Myrtaceae species, we identified 15,792 NBS-encoding genes with threefold variation in gene content across species. To investigate potential decoy domains for effector proteins of pathogens, we parsed the annotated NBS-encoding genes and determined 181 unique non-canonical domains. Notably, we observed frequent integration of Jacalin domains into TIR-NBS proteins. This novel gene family, named TNJ, is hypothesized to represent a new R gene class. Further exploration of TNJ sequence analysis shows up to seven Jacalin domains per protein and forming a monophyletic clade; however, AF3 modelling confirmed only six domains. Conserved residues in the TIR domain and functional motifs within the NB-ARC domain supports TNJs potential role in immune signalling. Most hypervariable sites and positively selected sites detected to be surface-exposed were clustered in the Jacalin region of TNJ, suggesting that surfaces of Jacalin domain may harbour residues determining pathogen recognition specificity. These findings support TNJ as a potentially new class of R genes in Myrtaceae with Jacalin as a replacement for LRR.

evolutionary biology↗

bioRxiv2026

IL-21-producing peripheral helper T cells associate with autoimmune bile duct injury in biliary atresia

BackgroundBiliary atresia (BA) is a severe neonatal liver disease characterized by progressive fibrosis and bile duct obliteration. ObjectiveAlthough immune dysregulation is implicated in the pathogenesis of BA, the specific mechanisms driving bile duct injury remain incompletely understood. This study aimed to characterize tertiary lymphoid structures (TLSs) within extrahepatic biliary remnants (EBRs), identify their cellular mediators, and evaluate the therapeutic potential of targeting IL-21 receptor signaling. DesignWe performed integrated bulk RNA sequencing, single-cell RNA sequencing, spatial transcriptomics, multiplex immunohistochemistry, and flow cytometry on clinical samples from BA patients and non-BA cholestatic controls. TLS maturation was assessed by CD23 immunohistochemistry in EBRs from 148 BA patients and correlated with clinical parameters. Anti-IL-21R antibody treatment was evaluated in a rhesus rotavirus-induced BA mouse model, with treatment initiated on day 4 post-infection. ResultsTLSs were identified in BA EBRs with significantly higher prevalence than in matched liver tissues. Mature TLSs containing CD23 germinal centers were associated with elevated serum matrix metalloproteinase-7, more advanced hepatic fibrosis, and localized autoantibody deposition on injured bile ducts. Single-cell profiling revealed expanded CD4+ T peripheral helper (Tph) cells expressing IL-21 and CXCL13 within TLS-containing EBRs. Tph cells were enriched in peripheral blood of BA patients compared to non-BA cholestatic controls (P = 0.0025), and serum IL-21 was significantly elevated (P < 0.0001). Post-infection IL-21R blockade in the mouse model reduced jaundice incidence, improved weight gain, prevented extrahepatic biliary obstruction, and significantly improved long-term survival. ConclusionTLSs in BA extrahepatic biliary remnants harbor expanded Tph cells associated with IL-21-mediated B cell activation and bile duct injury. IL-21R blockade ameliorated disease in a murine BA model, identifying the IL-21/IL-21R axis as a potential therapeutic target warranting further investigation. Key MessagesO_ST_ABSWhat is already known on this topicC_ST_ABSImmune dysregulation contributes to biliary atresia (BA), with documented lymphocyte infiltration and defective B cell tolerance. However, the cellular mechanisms linking local immune activation to bile duct injury are unclear, and the roles of organized lymphoid structures and specific CD4 T cell subsets in orchestrating local humoral responses have not been characterized. What this study addsThis study demonstrates that mature tertiary lymphoid structures in extrahepatic biliary remnants are associated with disease severity markers and localized bile duct injury in BA. We identify T peripheral helper cells as an expanded IL-21-producing CD4 T cell population within these structures, and show that post-infection IL-21 receptor blockade prevents biliary obstruction and improves survival in a murine BA model. How this study might affect research, practice or policyThese findings identify the IL-21/IL-21R signaling axis as a candidate therapeutic target in BA warranting further preclinical and translational investigation. TLS maturation status in biliary remnants and serum autoantibody levels may serve as potential biomarkers of disease severity, meriting prospective evaluation in clinical cohorts.

immunology↗

bioRxiv2026

SPARC: A Graph-based Optimization Framework for Directional Trajectory Reconstruction Across Ordered Single-Cell Conditions

Single-cell transcriptomics has enabled systematic profiling of cellular states across ordered biological contexts, including developmental stages, treatment phases, disease progression, and anatomical compartments. A central challenge is to reconstruct trajectories that respect the directionality imposed by biology or experimental design. Existing trajectory inference methods reconstruct cell-state progressions from latent-space geometry but do not enforce external biological ordering during graph construction, yielding biologically inadmissible transitions. An emerging paradigm of optimal-transport (OT) approaches partially addresses this limitation by incorporating experimental ordering into probabilistic state-to-state correspondences, yet their pairwise formulation cannot resolve whether a given state is an intermediate state or a terminal state along a multi-step progression. In multi-timepoint settings, OT typically estimates couplings only betweenadjacent timepoints and then chains these locally solved couplings to approximate long-range trajectories without a global optimization across all conditions simultaneously. Here we present SPARC, a graph-based optimization framework that quantifies similarity in a shared high-dimensional latent space and reconstruct directional trajectories under biological constraints. Global shortest-path optimization over this graph yields progression routes, from which SPARC derives path-based pseudotime identifies bottlenecks clusters, and detects gene temporal behavior. SPARC was evaluated across three complementary settings representing distinct trajectory-inference challenges. Its application to paired primary and lung metastatic osteosarcoma samples allows us to be the first to propose a "cross-organ bone-like microenvironment" hypothesis, in which osteoclastogenic signaling establishes a bone-like remodeling niche within the pulmonary metastatic lesion that promotes osteoclast differentiation and activity. The findings are independently recoverable in human osteosarcoma Visium HD spatial transcriptomics.

bioinformatics↗

bioRxiv2026

Machine Learning Gap-Fills Missing Transporter Kinetics in Biosystems Across Scales

Understanding transporter kinetics is essential for deciphering metabolite exchanges in biosystems, particularly for cells subject to substrate gradients. Nevertheless, the prediction of transporter kinetic parameters, maximum rate per gram protein (Vmax) and Michaelis-Menten constant (Km), has not yet been tackled. Here, we developed the first compound-protein interaction machine learning model of transporter Vmax and Km, MMTKPred, which achieved R2=0.553, RMSE=1.155 mmol/hr/g Protein and R2=0.330, RMSE=0.935 mM for log10-scaled Vmax and Km prediction, respectively. Moreover, we demonstrated MMTKPreds predictive power across biosystem scales, from capturing transporter kinetics modulated by point mutations and substrate changes at the molecular level, to enabling substrate-sensitive metabolic modelling of non-model yeasts at the cellular level, and rationalizing inter-species substrate competition in co-cultures. Collectively, MMTKPred effectively models metabolite transport spanning from molecular to multi- species scales, thereby offering a computational tool for rational microbial cell factory optimization. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/735998v2_ufig1.gif" ALT="Figure 1"> View larger version (62K): org.highwire.dtl.DTLVardef@18e7bb6org.highwire.dtl.DTLVardef@15bec93org.highwire.dtl.DTLVardef@8ce92org.highwire.dtl.DTLVardef@31fb44_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIMMTKPred, first transporter kinetics CPI model, reaches [~]1 log10 RMSE for Vmax and Km. C_LIO_LIMMTKPred captures the effects of point mutations and substrate changes on transporters. C_LIO_LIPredicted kinetics enables substrate sensitivity in metabolic flux modelling. C_LIO_LIPredicted kinetics explains inter-species substrate competition outcomes. C_LI

systems biology↗

bioRxiv2026

Doublesex- mediated regulation of insulin signaling drives sex-specific body growth

Most animals develop sex-biased body sizes driven by sexually divergent plasticity in nutrient-dependent growth. Prior work in Drosophila, implicated the sex-determination gene transformer (tra) in regulation of sex differences in body size. However, tra does not widely mediate sex determination across insects. Thus, the unifying molecular pathway governing female-biased sexual size dimorphism (SSD) remains poorly established in non-drosophilid insects. The rice stem borer Chilo suppressalis, a devastating lepidopteran crop pest, exhibits a robust SSD, offering an ideal system to dissect underlying mechanisms. We report that female-specific splice forms of the sex-determining gene doublesex (Csdsx) are master regulators of female-biased growth. Disruption of the female-specific Csdsx exon 3 via CRISPR knockout or RNA interference drastically reduces female body size and completely erases the SSD. Csilp2, encoding a key insulin-like peptide (ILP2), is selectively upregulated in late-instar female larvae, and female CsDsx proteins directly bind and activate the Csilp2 promoter to boost transcription. Loss-of-function of Csilp2 eliminates the SSD by suppressing female somatic overgrowth. Our results identify a novel regulatory cascade: female-specific Dsx directly stimulates insulin signaling via Csilp2, bridging core sex-determination circuitry and nutrient-dependent body growth control. SignificanceSexual size dimorphism (SSD), widespread across insects with larger females, strongly shapes reproductive fitness. Yet reports on the molecular connection between sex determination and dimorphic growth are scarce. Using a major agricultural pest, the rice stem borer with a prominent female-biased SSD, we show that female-specific Doublesex (dsx) splice variants directly activate the promoter of Insulin-like peptide 2 in late larvae to trigger increased growth. Knocking out either gene in females abolishes the SSD. Our findings thus establish dsx as a novel link connecting sex-determination, insulin signaling and nutrient-dependent body growth.

Developmental Biology↗

bioRxiv2026

Complete elucidation and heterologous reconstruction of the biosynthetic pathway of camptothecin

Camptothecin derivatives are first-line anticancer drugs used worldwide for the treatment of diverse malignant tumors. However, the biosynthetic pathway of camptothecin has remained elusive for five decades. Here, we fully map its entire biosynthetic route. We discovered five key missing enzymes (OpCAR, OpSDR11, OpCS, OpGH1, and OpSTR) via the combination of MALDI mass spectrometry imaging, single-cell RNA sequencing and co-expression analysis. Meanwhile, we demonstrated a free flavin mononucleotide triggered the non-enzymatic 6-5-6 to 6-6-5 fused-ring skeleton rearrangement, filling the last gap in camptothecin biosynthesis. Finally, we validated this identified pathway and achieved the de novo biosynthesis of camptothecin in Saccharomyces cerevisiae. These discoveries uncover the long-standing mystery underlying camptothecin and pave the way for manufacturing camptothecin and its derivatives through synthetic biology approaches.

synthetic biology↗

bioRxiv2026

Cognitive function depends upon Satb2 gene dosage in cortical projection neurons

SATB2-associated syndrome (SAS) is a severe neurodevelopmental disorder caused by de novo heterozygous SATB2 mutations, yet how haploinsufficiency disrupts brain development remains poorly understood. While homozygous Satb2 loss causes profound embryonic cell-fate defects, we demonstrate using a heterozygous mouse model that SAS phenotypes emerge primarily during postnatal circuit maturation. Integrating chromatin profiling, transcriptomics, electrophysiology, and behavior, we show that SATB2 acts as a dose-sensitive chromatin regulator that binds conserved enhancer-promoter landscapes to orchestrate networks linked to human intelligence. Although excitatory neuron subtype specification is preserved, Satb2 heterozygotes adopt an intermediate epigenetic state that drives cell-type-specific dysregulation of genes enriched for intellectual disability risk variants. Consequently, mutant neurons exhibit simplified dendritic arborization, reduced intrinsic excitability, and weakened layer 2/3-to-layer 5 intracortical connectivity. These circuit deficits culminate in the disorganization of the somatosensory barrel cortex and severe impairments in whisker-dependent texture discrimination. Finally, by restricting Satb2 heterozygosity to the cortex, we decouple these cortical sensory deficits from subcortical vocalization phenotypes. Together, our work links SATB2 dosage to chromatin architecture and postnatal circuit maturation, revealing a critical, post-mitotic therapeutic window for intervention in SAS.

neuroscience↗

bioRxiv2026

An EpCAM-Targeted Mirror-Image DNA Nanostructure for Precise Drug Delivery in Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC) remains a major therapeutic challenge due to the lack of effective molecular targets and the dose-limiting off-target toxicity of conventional chemotherapy. Here, we design and construct a mirror-image DNA (L-DNA) nanostructure functionalized with an epithelial cell adhesion molecule (EpCAM)-specific aptamer for targeted delivery of doxorubicin (DOX) to TNBC cells. The L-DNA nanostructure retains thermodynamic properties comparable to natural D-DNA while exhibiting substantially enhanced resistance to nuclease and serum-mediated degradation due to its mirror-image chirality. Thermal melting and serum stability assays confirmed superior structural stability of the L-DNA nanostructure compared to D-DNA counterparts. In vitro cytotoxicity studies demonstrated that the EpCAM-targeted L-DNA nanostructure has the potential to selectively inhibit the growth of EpCAM-positive TNBC cells while reducing cytotoxicity in normal cells. These findings demonstrate that combining aptamer targeting with mirror-image DNA nanotechnology provides a stable and selective nanoplatform for chemotherapeutic delivery, which can potentially improve the precision and therapeutic efficacy of treatment for aggressive breast cancers.

biochemistry↗

bioRxiv2026

Intrinsically disordered N-terminal regions suppress cotranslational protein degradation

Intrinsically disordered regions (IDRs) of proteins are thought to be inherently sensitive to proteolysis and considered one of the key components constituting an efficient degron. Here we report that IDRs can also suppress protein degradation. Our recent study showed that yeast ribosomal proteins, while posttranslationally stable, are subject to cotranslational protein degradation (CTPD). In mapping the degron responsible for CTPD of ribosomal protein Rpl8A, we found that its N-terminal IDR suppresses CTPD, whereas the adjacent structured domain acts as a degron. We further assessed the N-terminal IDRs of 9 other yeast proteins and found that they all inhibit CTPD. These results suggest that suppression of CTPD is likely a generic function of N-terminal IDRs. Moreover, we showed that the N-terminal IDR of human ribosomal protein hRpl7A also functions as a stabilizer against CTPD in human cells. When transplanted to the N-terminus of cystic fibrosis transmembrane conductance regulator (CFTR), the N-terminal IDR of hRpl7A reduces CTPD of CFTR by more than 80%. Thus, the stabilizer function of N-terminal IDRs is conserved from yeast to human. Using mass spectrometry, we demonstrated that HSP70 chaperone proteins Ssa and Ssb bind to the N-terminal IDR of Rpl8A. These data suggest that N-terminal IDRs may inhibit CTPD through recruiting HSP70 chaperone proteins to nascent chains, thereby facilitating cotranslational folding. Our study unveils a new role for IDRs in suppressing CTPD.

biochemistry↗

bioRxiv2026

Heat stress induces persistent placental dysfubction and fetal growth restriction via the ERS-MAPK-apoptosis axis

Maternal heat stress (HS) is an emerging risk factor for adverse pregnancy outcomes, yet how gestational heat exposure causes persistent placental dysfunction remains unclear. In the present study, we established a murine HS model (38.5{degrees}C, 2.5 h/day, E0-E12.5) followed by thermal recovery to E17.5. HS reduced fetal weight during early gestation and caused persistent fetal growth restriction after recovery, despite partial placental weight restoration. Histological analyses revealed early reductions in the junctional and labyrinth zones, followed by sustained labyrinthine deficiency and compensatory junctional zone expansion. Consistently, HS impaired placental vascularization, with reduced vessel length and area, decreased CD31 and -SMA abundance, and altered angiogenesis-related gene expression. HS also triggered oxidative stress, weakened antioxidant capacity, disrupted anti-inflammatory signaling, reduced tight junction protein expression, and compromised barrier integrity. Mechanistically, HS induced excessive endoplasmic reticulum stress, accompanied by increased CHOP, phosphorylated ERK, and cleaved caspase-3. In conclusion, our data unveil a heat-induced placental insufficiency program that restricts fetal growth through vascular, redox, barrier, and ERS-MAPK-apoptotic remodeling. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/730306v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@c73748org.highwire.dtl.DTLVardef@fe7b3eorg.highwire.dtl.DTLVardef@14d5e6dorg.highwire.dtl.DTLVardef@72572f_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

bioRxiv2026

CellClick: an interactive platform for adjustable and accurate cell type annotation in single-cell and spatial omics data

Single-cell omics and spatial omics technologies are nowadays widely used in biological and medical research. In both single-cell and spatial omics data analysis, accurate cell type annotation is a key step for downstream analysis and scientific discoveries. However, high-quality cell annotation usually requires multiple rounds of manual analysis for result refinement, which poses great challenges to most researchers. Here, we present CellClick, an interactive platform for convenient and accurate cell type annotation in single-cell and spatial omics data. CellClick provides Data Preprocessing, Data Visualization, Cell Annotation, Annotation Validation, and Cell Reannotation modules, which facilitate automatic or user-guided cell selection and annotation. The feasibility of using CellClick to generate more accurate cell annotation results was exemplified by both scRNA-seq and spatial transcriptomics data.

bioinformatics↗

bioRxiv2026

Metal Coordination Dynamics Governs Selective Epoxidation in Hyoscyamine 6β-Hydroxylase: Integrated Experimental and Computational Insights

Iron(II)- and 2-oxoglutarate-dependent (Fe(II)/2OG) enzymes catalyze a wide range of C-H bond activation and functionalization reactions and play essential roles in biosynthesis and metabolic regulation. Despite extensive mechanistic studies, the principles governing selectivity between canonical hydroxylation and alternative transformations remain incompletely understood. Here, we investigate the catalytic mechanism of hyoscyamine 6{beta}-hydroxylase (H6H), a Fe(II)/2OG-dependent oxygenase that sequentially catalyzes the 6{beta}-hydroxylation of hyoscyamine followed by 6,7-exo-epoxidation of 6{beta}-hydroxyhyoscyamine to generate scopolamine. Combined molecular dynamics and QM/MM calculations reveal that an inline Fe(IV)-oxo intermediate initiates hydrogen atom abstraction from the substrate C7 position. The resulting Fe(III)-OH species subsequently deprotonates the substrate hydroxyl group in a process coupled to substrate coordination to the iron center and an in-line-to-off-line rearrangement of the Fe(III)-OH moiety. This coordination dynamics machinery is further supported by the observed chlorination reactivity on the same substrate. Importantly, this coordination switch favors epoxide formation over hydroxyl rebound, thereby directing the reaction toward selective epoxidation. Further computational analysis of the L290F variant demonstrates that steric constraints imposed by L290 are essential for suppressing hydroxylation, revealing a bidirectional regulatory mechanism governing epoxidation/hydroxylation selectivity. Whereas iron coordination dynamics promote epoxidation reactivity, precise substrate positioning and protein-derived steric effects suppress the competing hydroxylation pathway. These findings are consistent with available experimental observations and establish metal coordination dynamics as a key determinant of selective C-H functionalization in Fe(II)/2OG enzymes.

biochemistry↗