Biology subjects

Yang, H.

Publications and source records attributed to Yang, H..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Constitutive androstane receptor directs developing Th1 cells towards the Tr1 lineage

Constitutive androstane receptor (CAR; encoded by Nr1i3) is a nuclear xenobiotic receptor that mediates hepatic drug and bile acid metabolism. We previously identified CAR as also operating in CD4+ T helper (TH) cells, where CAR-dependent gene expression mitigates bile acid toxicity and promotes a Foxp3-IL-10+type 1 regulatory (Tr1)-like phenotype in the small intestine. Here, we show that CAR acts early and specifically during the priming of type 1 immune responses to stabilize Tr1 lineage commitment. CAR-dependent Tr1 cells formed during type 1 (Th1-associated) but not type 3 (Th17-associated) intestinal inflammation. In vitro, IL-27 upregulated CAR expression during naive TH cell activation, which contributed to Il10 induction. Single-cell analysis revealed that naive TH cells primed with IL-27 adopt a multipotent "Th1/Tr1 precursor" (THR1p) transcriptional state, which subsequently diverges into Th1 or Tr1 developmental trajectories. CAR transcriptional activity peaked in THR1p cells, upregulating Tr1 genes, including Il10, and repressing Th1 genes. Moreover, glucocorticoid receptor activation--which increases CAR expression in hepatocytes--synergized with IL-27 to augment both CAR expression and CAR-dependent Tr1 differentiation. Together, these results suggest that CAR acts in a lineage-biased manner to enforce Tr1-mediated immune tolerance during type 1 intestinal inflammation, and this pathway is amplified by glucocorticoids.

immunology↗

bioRxiv2026

Deep Phenotyping with Global Brain Activity and Plasticity Mapping Identify the Dorsal Raphe-Basolateral Amygdala Circuit as a Mediator of Adaptive Stress Responses

Exposure to chronic environmental challenges triggers divergent behavioral trajectories across individuals. At the core, these different trajectories can be classified as individuals actively adapting to the challenges ("responders") and those displaying a rigid, non-responsive phenotype ("non-responders"). The brain system-wide network configurations that dictate why individuals diverge along these differential coping strategies, which can also lead to disease vulnerability or resilience, remain poorly understood. Here, we paired machine-learning-based deep behavioral phenotyping with multi-modal whole-brain imaging, integrating longitudinal Manganese-Enhanced MRI (MEMRI) and post-challenge cFOS mapping, to chart the functional landscape of individual stress trajectories in mice subjected to chronic social defeat stress. High-dimensional behavioral phenotyping revealed that active stress adaptation is a complex trajectory marked by latent, pre-stress kinetic signatures in vigilance-like and locomotive behaviors. At the neural level, longitudinal MEMRI captured distinct, consolidated activity reconfigurations across canonical valence and stress-regulatory circuits that segregated responders from non-responders. Complementary whole-brain cellular cFOS network analysis after an additional acute challenge revealed that non-responders exhibited marked hyper-modularity and network fragmentation, whereas responders feature a tightly integrated functional module co-clustering the periaqueductal gray, ventral tegmental area, basolateral amygdala (BLA), and dorsal raphe (DR). Notably, functional network connectivity along the DR-BLA axis was completely lost in non-responsive animals. Finally, pathway-specific chemogenetic inhibition of BLA-projecting DR neurons during a social challenge significantly attenuated social avoidance and reversed anxiety-like behavioral deficits, effectively shifting active behavioral adaptation toward a non-responsive phenotype. Together, these findings demonstrate that individual stress-coping strategies are driven by coordinated, system-wide reconfigurations of activity and plasticity, identifying the DR-BLA circuit as a critical gatekeeper of adaptive stress responses. Graphical AbstractGlobal neural functional alterations defining responding vs non-responding populations following chronic stress are understudied, yet crucial. Deep phenotyping followed by mapping brain-wide activity and plasticity changes identified these underlying divergent functional networks. Acute manipulation of a dorsal raphe - basolateral amygdala pathway ameliorated adaptive stress responses, highlighting the significance of this network-based approach. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=135 SRC="FIGDIR/small/740522v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1850a04org.highwire.dtl.DTLVardef@1549284org.highwire.dtl.DTLVardef@15f3ebforg.highwire.dtl.DTLVardef@107ca9_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2026

Tailoring Precise Genomic Integration Toward Isolate-to-Industry Strain Development for Scalable High-Titer Production of Polyhydroxyalkanoate

Halophilic chassis has emerged as a promising biomanufacturing platform for industrial polyhydroxyalkanoate (PHA) production. However, challenges still remain in improving the production capacity, scalability and robustness, thereby lowering cost to meet market demands. Here, a high-performing halophilic strain Halomonas LY03 was isolated with over 38% glucose- to-PHA conversion rate and broad non-grain substrate utilization capability. Multidimensional tools, including algorithm-guided high-expression neutral integration site (HENIS) screening toolkit designated SiteSeek, stop codon (TAA)-dependent enhancement of gene expression and recombinase-mediated large-fragment (> 9 kb) genomic integration, were then developed to enable precise, efficient and interference-free genomic integrative expression. Using these tools, various chromosomally engineered strains were rapidly constructed to achieve high-level production of poly-3-hydroxybutyrate (PHB, 151 g L-{superscript 1}) and poly(3-hydroxybutyrate-co-4-hydroxybutyrate) (P34HB, 139 g L-{superscript 1}) under high cell-density fermentation (up to 186 g L-1 cell dry weight) in a 5-L bioreactor. Scalability was demonstrated at 2-m3 and 20-m3 industry-scale fermentations, yielding up to 134 g L-{superscript 1} PHB and 127 g L-{superscript 1} P34HB (6.1 mol% 4HB). Building on the proven robustness, a two-stage continuous fermentation (TCF) process was developed using a twin-bioreactor system at 5-L and 20-m3 scales, where stable and sustained PHA production lasted over 260 h and 160 h, respectively. Techno-economic analysis revealed a substantial cost-reduction space of 48% compared with conventional fed-batch process. This study demonstrates a successful paradigm for engineering a newly isolated strain toward robust, high-titer and cost-competitive PHA production across lab-to-industry scales.

synthetic biology↗

bioRxiv2026

AI-guided Protein Inhibitor Design for Modulating FAD-dependent Glucose Dehydrogenase Redox Output

Flavin adenine dinucleotide-dependent glucose dehydrogenase (FAD-GDH) is a redox enzyme widely used in glucose monitoring, bioelectronic devices, and enzymatic biofuel cells because of its oxygen-independent catalysis and compatibility with electron-transfer processes. However, protein-based regulators that directly bind GDH and modulate its redox output remain underdeveloped. Here, we present an AI-guided strategy for developing a de novo protein inhibitor targeting FAD-GDH. GDH-targeting candidates generated through structure-based computational design were evaluated by yeast surface display and fluorescence-activated cell sorting, leading to the identification of FAD-GDH inhibitor-1 (FGI-1) as a GDH-targeting inhibitory scaffold. Purified His-MBP-FGI-1 reduced GDH-mediated DCIP reduction, demonstrating attenuation of GDH-derived redox output. Random mutagenesis followed by secondary FACS screening yielded evolved variants with increased GDH-binding signals and enhanced redox-output suppression, showing that the de novo inhibitory scaffold could be functionally tuned through experimental evolution. In addition, an FGI-1-based construct fused to a larger protein module retained GDH-output suppressive activity, and electrode-based measurements showed reduced GDH-derived current output. Because electrode-associated measurements may be influenced by protein-mediated surface shielding and altered electron-transfer accessibility, this decrease was interpreted conservatively as attenuation of GDH-derived electrochemical output rather than direct evidence of active-site inhibition. Together, this work establishes an AI-guided design-validation workflow for developing protein inhibitors that modulate FAD-GDH redox output and provides a foundation for protein-level control of enzyme output in biosensing and bioelectronic applications.

biochemistry↗

bioRxiv2026

BaiZe: A Multi-View Dynamic Framework for Simulating and Interpreting Cellular Responses Across Perturbation Contexts

Accurately predicting how cells respond to perturbations is important for understanding cellular regulation and prioritizing experimental interventions, yet existing models are often designed for specific perturbation types or biological contexts. Here we present BaiZe, a multi-view conditional state-transition framework that predicts the post-perturbation transcriptome from a control-state transcriptome together with genetic, chemical, temporal and optional chromatin-accessibility information. BaiZe models perturbation responses as context-dependent transitions between cellular states. BaiZe supports prediction across held-out cell states and genetic perturbations, unseen multi-gene combinations, chemical structures and doses, temporal stages and species contexts. Benchmarking across diverse perturbation settings demonstrates that BaiZe effectively recovers major transcriptional response programs under previously unseen conditions. Incorporating matched ATAC-seq context further improves selected state-transition predictions and enables model-based attribution of chromatin regions to response-associated genes and pathways. BaiZe also supports few-shot transfer of perturbation responses from human to mouse cellular systems and connects predicted transcriptomes to candidate morphology projections. To facilitate interpretation and use, BaiZe-Agent organizes response genes, pathways, chromatin evidence, cross-species predictions and projected phenotypes into traceable, queryable perturbation records. Together, BaiZe provides a broadly applicable framework for predicting and interpreting context-dependent cellular responses and for prioritizing hypotheses across diverse perturbation settings.

bioinformatics↗

bioRxiv2026

A Glycan-Aware Diffusion Model for Carbohydrate and Glycoprotein Structure Prediction

Biomolecular diffusion models can now predict proteins and heterogeneous complexes, but glycans remain difficult because their branched topology, conformational flexibility, and strict stereochemical rules must be captured simultaneously. We developed SweetFold, a glycan-aware adaptation of Boltz-1x for the structure prediction of free glycans, glycoproteins, and protein-glycan complexes. SweetFold represents glycans as pseudo-polymers rather than generic ligands, preserving monosaccharide identity, anomeric state, glycosidic connectivity, and atom-level stereochemistry. We pair this representation with glycan-specific architecture, stereochemical supervision, and a sugar-centric training curriculum. Across monosaccharide, oligosaccharide, lectin, and glycoprotein benchmarks, SweetFold improves structural metrics relative to baseline all-atom diffusion models while retaining protein-only benchmark performance. These results show that chemically localized representation and supervision can extend biomolecular diffusion models to carbohydrate chemistry.

biophysics↗

bioRxiv2026

GAMETE maps the genetic architecture of chromatin accessibility in rice pollen at single-nucleus resolution

BackgroundDissecting the genetic basis of cell-type-specific gene regulation during gametogenesis remains a major challenge. Population-level studies mask cellular heterogeneity, while the extreme data sparsity of single-cell profiling has precluded robust genetic mapping. ResultsWe present GAMETE (Genetic Architecture Mapping of Epigenetic Traits at single-nucleus resolution), an integrated framework combining MPS-ATAC-seq, a high-throughput single-nucleus ATAC-seq method, with robust computational approaches for genotype inference and genetic mapping from sparse single-nucleus data. Applying GAMETE to hybrid rice pollen, we simultaneously profiled chromatin accessibility and inferred the genotypes of 4,887 individual haploid nuclei, revealing distinct chromatin landscapes across pollen cell types. This uncovered an unexpected elevation of chromatin accessibility at gypsy retrotransposons in microspores preceding their silencing in sperm cells, exposing a surveillance gap that may contribute to genome expansion. The synchronized profiling enabled us to construct a single-cell recombination map, map segregation distortion loci and trace their developmental origins, and identify 16,113 chromatin accessibility QTLs (caQTLs), 48.6% of which exhibited pronounced cell-type specificity. Analysis of introgression lines supported a cell-type-specific trans-acting caQTL regulating the pollen-essential gene DTM1. ConclusionsThis work establishes GAMETE as a broadly applicable framework for dissecting the genetic architecture of chromatin accessibility during gametogenesis without the need for subsequent generations.

genomics↗

bioRxiv2026

SOLAR Mediates Lysosomal Membrane Repair and Redox Defense

Lysosomal damage is increasingly recognized as a hallmark of aging. Understanding lysosomal quality control may open new therapeutic strategies to enhance lysosomal resilience. Here, we identify SOLAR (SQSTM1/p62 Oligomer-mediated Lysosomal Antioxidant Defense And Membrane Repair), a lysosomal quality control pathway that links CASM (conjugation of ATG8 to single membranes) to p62-driven membrane repair and redox signaling. In this pathway, CASM, but not macroautophagy, recruited p62 to damaged lysosomes. Efficient lysosomal recruitment of p62 required its ATG8-binding and self-oligomerizing domains, enabling p62 assemblies to promote membrane repair. p62 mutations associated with neurodegeneration interfered with p62 recruitment and compromised lysosomal repair. Besides membrane repair, the SOLAR pathway also activated the p62-KEAP1-NRF2 redox signaling axis, driving transcriptional upregulation of antioxidative genes and cholesterol biosynthesis. By integrating membrane repair and redox defense, SOLAR establishes a coordinated lysosomal quality control pathway with implications for aging and degenerative disease.

cell biology↗

bioRxiv2026

Field–Flow–Front mapping of breast cancer evolutionary dynamics in situ

Tumour progression reflects not only which clones arise but where, when and in what context they expand--dimensions genotype-centred reconstructions leave unresolved. Here we reconstruct breast cancer evolution in situ across 34 Visium HD, 16 Xenium, 32 MIBI-TOF and 10 CODEX samples, serial-section 3D reconstruction, single-cell and bulk transcriptomes, and genome-wide CRISPR dependency profiles. We partition tumours into 296 cancer microzones--stroma-bounded units within which expansion is reconstructed--and define in each a Cancer Progression Metric(CPM) coupling a transcriptomic clock to expansion geometry. Projected onto tissue, CPM yields a Field-Flow-Front model rendering progression as a continuous physical process and resolving subclonal architecture into spatially coherent domains rather than predefined branches. Unexpectedly, the most advanced fronts were not the most proliferative but low-dependency, slow-cycling populations with directional expansion, driven by an extracellular matrix programme whose evolutionary force exceeded inflammation by nearly an order of magnitude yet whose genes were the least cell-autonomous. Under chemotherapy it persisted while its clonal carriers reshuffled, marking a transferable, stroma-coupled front process--not a fixed clone--as the unit of advance. Distilled into an evolutionary advantage load, this front process predicted recurrence and survival across independent cohorts and improved on conventional staging, establishing a tissue-embedded paradigm for mapping tumour evolutionary dynamics, from local fronts to patient outcome.

Cancer Biology↗

bioRxiv2026

Structural basis for loop-dependent inhibition by AcrIIC1 anti-CRISPR proteins

Most known anti-CRISPR proteins exert inhibition via solitary functional pathways, and few natural Acr homologs have been reported to possess coupled inhibitory mechanisms. Here, we demonstrate that AcrIIC1Boe represses Nme1Cas9 activity through loop-coupled inhibitory effects. Beyond canonical occlusion of the HNH catalytic site, the unique extended loop of AcrIIC1Boe further perturbs sgRNA binding and restricts R-loop maturation to reinforce inhibition. Strikingly, loop deletion completely abrogated this layered inhibitory capacity, confirming that the loop is indispensable for full anti-CRISPR function. Consistently, transplantation of this functional loop into the weakly active AcrIIC1Nme1 markedly upgraded its inhibitory performance. Our findings reveal an unprecedented loop-governed coupled inhibition mode, clarify the structural basis for functional divergence within the AcrIIC1 family, and provide a modular engineering strategy for the rational design and optimization of high-potency anti-CRISPR proteins.

Molecular Biology↗

bioRxiv2026

Visualization of the architecture of flexible chromatin and the binding of chromatin regulators

Chromatin organization plays a central role in regulating genome accessibility and gene expression in eukaryotic cells. However, the inherent flexibility and structural heterogeneity of chromatin pose significant challenges for its structure determination. Here, we use a Nuc-back strategy with cryo-electron tomography (cryo-ET) and subtomogram averaging methods to visualize chromatin at the nucleosome level by averaging nucleosome at moderate-to-high resolution, classifying the fundamental unit of chromatin, i.e., nucleosome, into distinct classes, and linking different nucleosome structures to chromatin architecture. We reveal that nucleosome heterogeneity is a key factor in chromatin flexibility which disrupts interactions between nucleosomes. In addition, this strategy allows for the localization and visualization of chromatin regulators and their structure on chromatin. These results provide a foundation for future research in 3D genome and epigenetic process visualization. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=82 SRC="FIGDIR/small/730377v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1b003c8org.highwire.dtl.DTLVardef@c86543org.highwire.dtl.DTLVardef@7033f5org.highwire.dtl.DTLVardef@635485_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2026

Myofibroblast- specific autophagy drives cyst growth in autosomal dominant polycystic kidney disease

BackgroundAutosomal dominant polycystic kidney disease (ADPKD) is characterized by progressive cyst expansion, fibrosis and inflammation, leading to kidney failure. Myofibroblasts (MFs) often accumulate around cysts and promote fibrosis and cyst growth, but the cellular mechanisms enabling their pro-cystogenic activity remain unclear. Here we examined the role of autophagy within MFs, on their paracrine stimulation of cyst expansion in ADPKD. MethodsAutophagy was assessed in human ADPKD nephrectomy tissue, primary human ADPKD renal myofibroblasts (ADPKD-MFs) and male RC/RC mouse model of ADPKD using immunostaining, LC3/p62 analyses, and transmission electron microscopy. Autophagy in MFs was inhibited pharmacologically in ADPKD-MFs, or by conditional Atg5 deletion in PDGFR{beta}-expressing renal stromal cells in RC/RC (RC/RC;Atg5KO) and wild type (WT;Atg5KO) mice. ResultsIn human and mouse ADPKD kidneys, we detected LC3 puncta and autophagic organelles within SMA-expressing MFs. Inhibition of autophagy in ADPKD-MFs blocked their paracrine stimulation of cyst epithelial cell proliferation in vitro. RC/RC;Atg5KO mice showed significantly reduced cystic growth, fibrosis, MF abundance, and improved kidney function. WT;Atg5KO mice showed no abnormalities in kidney structure or function. Targeted metabolomics performed on ADPKD cyst epithelial-cell conditioned media (ADPKD-ECs CM) revealed moderate increase in lactate levels compared to normal human kidney epithelial-cell conditioned media. Furthermore, lactate treatment stabilized hypoxia-inducible factor-1 (HIF1) in myofibroblasts, while pharmacological inhibition of HIF1 reduced the expression of autophagy-related genes and impaired autophagic flux. ConclusionThese findings reveal that autophagy in MFs is a previously unrecognized driver of cyst expansion and fibrosis in ADPKD. Lactate-mediated HIF1 stabilization in MFs promotes autophagy that is required for their paracrine stimulation of cyst epithelial growth. Targeting MF-specific autophagy or its upstream regulators may represent a therapeutic strategy to limit cyst growth and fibrosis in ADPKD.

molecular biology↗

bioRxiv2026

Accurate de novo design of peptides from programming biophysical landscape

Peptides regulate virtually every cellular process and emerge as transformative modalities in bioengineering and therapeutics. However, the de novo design of functional peptides remains challenging, as peptide-protein interactions are governed by delicate and dynamic biophysics that are difficult to model, and experimental datasets are scarce. Here we present NeoPep, a generative deep-learning framework that encodes biophysical principles to accurately design functional peptides de novo. By integrating over 5 million peptide-protein complexes spanning experimentally determined, sequence mimics, and structure ensembles, NeoPep learns the complex biophysical landscape governing peptide function and enables its programmable control. In prospective application across 10 diverse and challenging targets, NeoPep generated potent peptide binders, agonists, and antagonists with hit rates of 12.5-66.7%, even in the absence of defined binding sites or structure information. Beyond de novo co-design, NeoPep supports standalone structure or sequence redesign, readily discriminating subtle context differences. In the structure redesign mode, it generates highly selective peptides with atomic-level conformational accuracy (C RMSD < 2.0 [A] to our solved cryo-EM structure). This structural precision circumvents the need for experimental structure determination, further accelerating iterative sequence redesign to yield a 43.3-fold improvement in potency. These findings establish a general framework for translating biophysical principles into actionable peptide functions, with broad implications for basic research, bioengineering, and medicine.

molecular biology↗

bioRxiv2026

Optical Conductivity as a Stage-Sensitive Imaging Biomarker for Alzheimer's Disease

1.Early detection of Alzheimers disease (AD) remains limited by the inability of current imaging biomarkers to capture dynamic tissue changes preceding overt neurodegeneration. Conventional approaches primarily reflect molecular burden or structural atrophy and incompletely characterize the intermediate microenvironmental remodeling linking early pathology to clinical progression. Here, we introduce optical conductivity as a novel imaging biomarker characterizing tissue responses to optical-frequency electromagnetic fields. Using an optical wave tomography (OWT) framework, optical conductivity is reconstructed from diffuse optical measurements by integrating absorption-driven energy deposition with microstructure-dependent field redistribution. Applied to an APP/PS1 mouse model across young and old cohorts, optical conductivity revealed a significant age-by-disease interaction (F = 9.20, p = 0.0071). Quantitatively, its value was reduced in young AD animals relative to controls ([~]13%; Cohens d = 1.93) but showed attenuation or reversal in older animals, indicating a stage-dependent crossover. Consistently, optical conductivity achieved strong classification performance in the young cohort (AUC = 0.80), outperforming absorption and exceeding scattering, with improved performance via multimodal integration (AUC = 0.87). Together, these findings suggest that optical conductivity captures stage-dependent microenvironmental remodeling not detectable by conventional optical parameters, offering potential for early detection and disease staging.

bioengineering↗

bioRxiv2026

EZH1/2 inhibition improves immunotherapy response through MHC Class II de-repression and neutrophil reprogramming

Squamous cell carcinoma of the lung is a difficult-to-treat cancer with high prevalence in the US, and particularly in Kentucky. Here, we sought to test if the EZH1/2 inhibitor valemetostat improves anti-PD1 responses in squamous cell lung cancer models, and to develop ex vivo models to test immunotherapy drug combinations. We found that valemetostat augmented anti-tumor responses to anti-PD1 therapy, led to up-regulation of tumor cell specific Major Histocompatibility Complex Class II (MHC Class II), and drove systemic neutrophil maturation. Likewise, Ezh2 knock-out mice produced neutrophils that were more apoptotic, less migratory, and less able to produce extracellular nets, but had similar ability to kill bacteria as Ezh2-WT neutrophils. To test tumor responses to differing neutrophil populations, we engineered three-dimensional air-liquid interface cultures with tumoroids, lung mesenchymal cells, and T cells, with and without bone marrow containing neutrophils and myeloid progenitors from distinct donors. Bone marrow from tumor-naive or mice with actively growing untreated tumors boosted tumoroid growth, while bone marrow from spontaneously tumor-rejected or mice with tumors treated with valemetostat was anti-tumor. MHC Class II blockade lowered the ability of bone marrow to boost tumor growth, and reduced the ability of valemetostat with anti-PD1 to reduce tumoroid growth. Patient samples revealed a strong negative correlation between EZH2 and MHC Class II, suggesting that targeting EZH2 activity could lead to marked increase in MHC Class II and improve treatment responses in lung squamous cell carcinomas.

cancer biology↗

bioRxiv2026

Identifying a cooperative catalytic network for efficient esterase catalysis

Active-site redesign frequently yields modest improvements because residues controlling physical steps like substrate binding and product release lie outside the active site. Efficient catalysis requires a cooperative catalytic network of residues that support both the chemical and physical steps of catalysis. Using ancestral hydroxynitrile lyase HNL1, an /{beta}-hydrolase with poor esterase activity, we tested this framework directly. Matching all active-site residues to a proficient esterase improved KM five-fold but left kcat unchanged, confirming that chemical machinery alone is insufficient. Activity-weighted sequence comparison (SigniSite) across ten homologous HNLs and esterases identified 38 positions disfavoring esterase activity. Experimental refinement yielded a minimal set of fifteen substitutions (HNL1-15) with [~]60-fold higher kcat and [~]400-fold higher kcat/KM. Single-substitution reversion analysis confirmed that all fifteen substitutions are essential and provided evidence for strong cooperativity between them. X-ray crystal structures of HNL1 and HNL1-15 reveal three coordinated structural changes: reshaping the substrate-binding pocket to favor productive ester binding, restoring access to the oxyanion hole, and opening an additional tunnel for product egress and water entry. These changes arise through backbone rearrangements and altered flexibility rather than direct active-site contacts, explaining why the responsible positions escape conservation-based detection. Because cooperativity masks individual contributions, engineering such networks may require step-specific assays -- measuring binding, acylation, or product release directly -- rather than screening composite kcat.

biochemistry↗

bioRxiv2026

Gardos potassium channel amplifies PIEZO1-TMEM16F coupling in red blood cells

In red blood cells (RBCs), the mechanosensitive channel PIEZO1 provides an upstream Ca2+ signal that activates TMEM16F, a Ca2+-activated phospholipid scramblase (CaPLSase) responsible for phosphatidylserine (PS) externalization. However, limited PIEZO1-mediated Ca{superscript 2} entry and the relatively low Ca2+ sensitivity of TMEM16F suggest the need for signal amplification. Here, we identify the Gardos (KCNN4) Ca2+-activated K channel as a critical amplifier of the PIEZO1-TMEM16F axis. Gardos activation induces membrane hyperpolarization, thereby increasing the driving force for Ca2+ entry and enhancing TMEM16F activation and phospholipid scrambling. Gardos-mediated amplification also contributes to excessive PS externalization in sickle cell disease (SCD) and hereditary xerocytosis (HX) RBCs, and functional disruption of Gardos-mediated K+ efflux attenuates this response. These findings demonstrate Gardos as a critical amplifier of RBC mechanotransduction and highlight Gardos as a potential therapeutic target for mitigating pathogenic PS exposure. HIGHLIGHTSO_LIGardos amplifies PIEZO1-mediated Ca{superscript 2} influx to promote TMEM16F-dependent phosphatidylserine exposure in healthy and diseased RBCs. C_LIO_LIUnexpected effects of some Gardos inhibitors may complicate the use in hematologic diseases. C_LI

physiology↗

bioRxiv2026

Reliability of Spatiotemporal Neuromuscular Activity Patterns in Magnetomyography Across Force Levels

BackgroundMagnetomyography (MMG) using an optically pumped magnetometer (OPM) provides a contactless and non-invasive approach to assess neuromuscular activity. However, given the limited studies using optically pumped magnetometer magnetomyography (OPM-MMG) and that those primarily used a single OPM, it remains to be characterized how stable individual neuromuscular activity patterns are over time and across different force levels when using multiple OPMs, specifically an array-based MMG. Methods12 healthy subjects performed ramped isometric contractions at 10, 20, 40, 60, and 80% maximal voluntary contraction (MVC), while a 2x3 OPM array recorded MMG signals from the tibialis anterior (TA). For the test-retest reliability, ramps at 20% and 60% MVC were each repeated once. For each subject, Spearmans rank correlation was computed across all OPM sensors between force conditions to assess consistency of feature rankings, and within-subject spatial repeatability between repeated 20% and 60% MVC ramps was quantified using ICC (3,1) (two-way mixed-effects, single-measure, absolute agreement). ResultsIn 9 of 12 subjects, Spearmans rank analyses showed generally high correlations across force levels ({rho} = 0.37 to 0.91, p<0.05), whereas in the remaining 3 subjects, spatial patterns were less stable ({rho} = -0.73 to 0.58, p<0.05). ICC (3,1) between repeated ramps indicated high within-subject spatial repeatability of the array pattern in 9 out of 12 subjects, with ICC > 0.75 at 20% MVC (5 out of 9 subjects) and 60% MVC (6 out of 9 subjects), respectively. In contrast, the remaining 3 subjects showed lower ICCs (20% MVC: -0.28 to 0.51; 60% MVC: 0.22 to 0.80). ConclusionArray-based OPM-MMG shows high within-subject stability of spatial patterns across force levels and strong test-retest repeatability in the majority of subjects (9 out of 12), supporting its use for characterizing force-dependent neuromuscular activity while acknowledging inter-subject variability.

neuroscience↗