Search bioRxiv⌕ Search

Biology subjects

Jo, S.

Publications and source records attributed to Jo, S..

At least 19 recordsLinked to original sources

Thal-Kak: unifying biomolecular structure predictors reveals a sampling-selection gap

Complementary all-atom structure predictors sample different solutions, but how to allocate a fixed sampling budget across them and select the best output remains unclear. Thal-Kak unifies five released predictors under shared upstream inputs and a common schema. Across FoldBench and CASP16, model mixing improves oracle sampling over single-model runs, but selection remains a bottleneck because confidence scores do not transfer across models and existing quality-assessment methods cannot resolve this gap.

bioinformatics↗

spatiAlytica: Viewer-Grounded Multimodal Agentic System for Interactive Spatial Omics Analysis

Spatial transcriptomics and proteomics map tissue architecture and cellular interactions, but analysis remains limited by programming demands and text-centered AI agents that lack viewer grounding and cross-turn context. We present spatiAlytica, a viewer-centric multimodal interactive agentic system embedded in the Napari viewer that enables non-programmer biologists to perform iterative, hypothesis-driven spatial omics analysis via natural language. spatiAlytica couples viewer-state serialization, agentic memory, biological concept-to-data-field mapping, code generation and debugging, Spatial VQA, and grounded interpretation to support an exploratory analysis and interpretive reasoning workflow. We introduce spatiAlyticaBench, a comprehensive benchmark spanning 222 single-turn spatial analytical coding questions, 178 multi-turn sequential workflow questions, and 7,350 image-grounded reasoning questions. spatiAlytica outperformed strong agentic baselines, while using less time and tokens. Case studies across Kaposis sarcoma, colorectal cancer, and ovarian cancer recapitulated known spatial patterns and uncovered progressive CD8 T-cell dysfunction during KS progression.

bioinformatics↗

Comparative Analysis of Relative Ligand Binding Free Energy Simulation Methods: Amber-TI, GROMACS-NETI, OpenMM-FEP, and BLaDE-MSLD

Structure-based drug design has become increasingly important in the pharmaceutical industry for accelerating the discovery of effective drug candidates. In particular, ligand binding free energy serves as a critical metric for predicting drug efficacy during the key stages of hit discovery and lead optimization. Continuous progresses have been made in the prediction of ligand binding free energies, but direct comparisons of different methods using the same force field remain challenging due to their unique implementations into different simulation engines. In this study, we present a direct comparison of four popular methodologies (Amber-TI, GROMACS-NETI, OpenMM-FEP, and BLaDE-MSLD) for calculating relative binding free energies ({Delta}{Delta}Gbind) with the same Amber protein and ligand force fields using MolCube Alchemical Free Energy Simulator (MolCube-AFES), which provides an input generation workflow to support {Delta}{Delta}Gbind calculations of all four methods. We used 80 alchemical transformations (among the JACS benchmark set by Wang et al.) and two additional applications to compare the predicted {Delta}{Delta}Gbind from the four methods against experimental measurements. All four methods reproduced experimentally observed trends with most transformations within {+/-}2 kcal/mol from experiments and show broadly comparable accuracy with no statistically significant performance differences across the benchmark dataset. These results demonstrate that MolCube-AFES enables controlled, cross platform benchmarking and show that all four different alchemical free energy methods deliver statistically equivalent accuracy, with method selection guided by workflow requirements such as throughput, portability, and perturbation network design rather than expected differences in performances.

biophysics↗

Biological nitrification inhibition compromises the soil methane sink

Biological nitrification inhibition (BNI) is a plant-mediated process that suppresses nitrification and is widely considered beneficial for reducing nitrous oxide emissions. Here, we show that BNI compounds also inhibit methane oxidation by methanotrophic bacteria, revealing a previously unrecognized trade-off in greenhouse gas regulation. Across soil bioreactor systems and pure cultures of both Type I and Type II methanotrophs, BNI compounds consistently suppressed methane oxidation activity. Kinetic analyses indicated an uncompetitive-like inhibition pattern, characterized by concurrent decreases in Vmax and Km, while reversibility assays showed that inhibition was not associated with loss of cellular viability. Experiments under copper-replete and copper-depleted conditions further showed that inhibition is predominantly associated with particulate methane monooxygenase (pMMO). Transcriptomic analyses demonstrated compound-specific responses, including suppression of methane oxidation pathways and differential regulation of stress-associated genes. These findings suggest that BNI-mediated inhibition of methane oxidation may offset reductions in nitrous oxide emissions, with implications for predicting net greenhouse gas fluxes in agricultural and wetland ecosystems. Incorporating BNI effects into biogeochemical models will be critical for accurately evaluating their role in the global methane budget.

microbiology↗

Modulation of human dorsal root ganglion neuron excitability by Nav1.7 inhibition

Nav1.7 voltage-gated sodium channels are strongly expressed in human primary pain-sensing neurons (nociceptors) and selective Nav1.7 inhibitors have been developed as possible therapeutic agents for treating pain, so far with disappointing clinical results. In contrast, a selective Nav1.8 channel inhibitor (suzetrigine) has had successful clinical trials. Because nociceptors express both Nav1.7 and Nav1.8 channels, it is of interest to compare effects of Nav1.7 and Nav1.8 inhibitors on the excitability of human nociceptors. To compare with previous results with suzetrigine, we characterized the effects of a selective Nav.7 inhibitor, AM-2099, on action potential generation and repetitive firing of dissociated human dorsal root ganglion neurons, studied at 37{degrees}C. Inhibition of Nav1.7 channels by 600 nM AM-2099 generally produced a substantial depolarizing shift of action potential threshold, an increase in rheobase, a decrease in action potential upstroke velocity, decrease in action potential peak, and prolongation of refractory period. Compared to inhibition of Nav1.8 channels, inhibition of Nav1.7 channels had larger effects on threshold and maximal upstroke velocity, while action potential peak was reduced similarly by both. Nav1.8 inhibition produced much more dramatic reduction of repetitive firing than Nav1.7 inhibition. The results show that although the excitability of human DRG neurons is affected by inhibition of Nav1.7 channels, most notably by an increase in threshold and increase in refractory period, repetitive firing of the neurons in response to strong stimuli is little affected.

neuroscience↗

Systematic identification of tissue-conserved m6A sites reveals a stable epitranscriptomic regulatory layer controlling essential genes

Chemical modifications to RNA are fundamental regulators of cellular identity and function. Among these, N6-methyladenosine (m6A) is the most abundant mRNA modification in mammalian cell, governing major post-transcriptional processes. While conditional m6A dynamics are well studied, the extent and function of condition-independent, tissue-conserved (TC) m6A in humans remain unclear. Here we show that 5,945 TC sites are consistently methylated across 24 human tissues. These sites are enriched near stop codons, evolutionarily conserved, and characterized by distinct sequence signatures. RBM15/B are identified as candidate mediators of TC m6A deposition, and YTHDF1-3 and UPF1 are preferentially enriched at TC sites, supporting their role for m6A-linked mRNA decay. TC m6A sites mark 1,386 genes essential for core cellular processes like autophagy and homeostasis, showing stable expression and evolutionary constraint. Pan-cancer analysis reveals that TC m6A genes are disproportionately differentially expressed, alongside with altered RBM15/B expression, suggesting that disruption of this stable m6A layer may contribute to transcriptional changes in cancer.

molecular biology↗

Molecular genetic characterization of bacterial KH-domain proteins

Post-transcriptional gene regulation is a key mechanism for bacterial stress responses and virulence, and RNA-mediated regulation frequently relies on global RNA-binding proteins (RBPs). A pair of interacting KH-domain proteins (KhpA and KhpB) have recently been identified as global RBPs in several bacterial species. To better understand their molecular functions, we employed bacterial two- and three-hybrid (B2H/B3H) assays in an E. coli reporter system to analyze protein-protein and protein-RNA interactions of KhpA/B orthologs from three human pathogens: Campylobacter jejuni, Helicobacter pylori, and Clostridioides difficile. Protein-protein interactions were conserved across all species, with KhpA-KhpB heterodimers forming more robustly than either homodimer and KhpA homodimerizing more readily than KhpB. On the other hand, protein-RNA interactions were more varied across species: C. jejuni and C. difficile KhpA bound both species-specific and non-specific RNAs, but H. pylori KhpA--and KhpB orthologs from all species--showed no RNA interaction in B3H assays. Site-directed mutagenesis experiments demonstrated that residues in the GXXG motif of KhpA are critical for RNA interaction and differences in these residues account for the distinct RNA-binding behaviors of KhpA orthologs. Collectively, these findings provide a cross-species, molecular view of how KhpA and KhpB recognize one another and RNA ligands to regulate gene expression.

molecular biology↗

Maternal age modulates progeny social behavior via a small RNA-neuropeptide axis

Parental age influences offspring traits across species, yet the molecular pathways by which maternal state modulates progeny neural function remain poorly defined. Here we demonstrate that maternal age in C. elegans regulates progeny avoidance of the social pheromone by modulating the activity of a defined sensory circuit. Progeny of young mothers exhibit stronger activity of the pheromone-sensing ADL neurons and enhanced pheromone avoidance, whereas progeny of old mothers display reduced neuronal responses and weaker repulsion. We identify an ERI-1-microRNA-neuropeptide signaling axis operating in peptidergic AVH interneurons that modulates ADL circuit responsiveness. ERI-1 promotes expression of the neuropeptide gene flp-26 by repressing mir-8207, and signaling from AVH to ADL establishes pheromone sensitivity. Maternal aging is associated with reduced ERI-1 expression in progeny AVH neurons and dampening this signaling pathway. Consequently, progeny of young mothers, though developmentally less robust, disperse more readily from crowded, pheromone-rich environments, offsetting their early-life disadvantages. Our findings reveal a molecular and circuit-level mechanism by which maternal physiology adaptively configures offspring neural computation and behavioral strategy across generations.

neuroscience↗

Early electrical stimulation promotes functional recovery after volumetric muscle loss

Volumetric muscle loss (VML) injuries overwhelm the inherent regenerative capacity of skeletal muscle, causing persistent functional deficits with no routinely effective therapies. Electrical stimulation (ES) has been shown to preserve muscle structure in other injury models, but technical barriers have prevented daily delivery during the acute post-injury window when critical regenerative programs are established. Here, we developed a fully implantable bioelectronic system with nanoporous platinum-modified electrodes enabling daily therapeutic stimulation and electromyographic recording without repeated anesthesia in a rat tibialis anterior VML model. Animals receiving ES during the acute post-injury period (10 sessions over days 0-14) showed sustained functional improvement, reaching 90% of baseline torque at 8 weeks compared to 71% in unstimulated controls. This recovery reflected enhanced remodeling of injured muscle rather than synergistic muscle compensation. Histological analysis revealed coordinated early increases in vascularization, pro-regenerative macrophages, and satellite cells. These findings establish early ES as a promising intervention for promoting muscle regeneration after catastrophic injury.

bioengineering↗

Macrophage Antigen Presentation Is Unleashed by Pan-RAS Inhibition to Promote Antitumor Immunity

Pan-RAS inhibitors have emerged as potent targeted therapies designed to suppress oncogenic signaling in RAS-mutant tumors. However, whether these inhibitors possess therapeutic utility beyond tumors with intrinsic RAS dependency remains unclear. Here we show that the clinical-stage pan-RAS(ON) inhibitor RMC-6236 (Daraxonrasib) induces robust regression of NRAS-wild-type B16 tumors in immunocompetent mice, a response mediated by a mechanism independent of direct tumor-cell targeting. Instead, RMC-6236 acts by remodeling the tumor microenvironment, specifically enhancing the antigen-presenting capacity of tumor-associated macrophages through upregulated MHC-I expression. This anti-tumor efficacy is abrogated in T cell-deficient hosts, identifying a macrophage-dependent, T cell-mediated mechanism of control. Mechanistically, RMC-6236 does not directly block canonical RAS signaling in macrophages. Rather, it suppresses a Myc-Hdac2 epigenetic program, leading to enhanced histone H4 acetylation at the Nlrc5 locus and subsequent activation of the MHC-I master regulator NLRC5. Together, our findings reveal a macrophage-centered, epigenetically wired immune mechanism for pan-RAS inhibition that broadens the therapeutic scope of targeting the "undruggable" RAS pathway beyond tumor genotype towards systemic immune modulation.

immunology↗

Cooperative self-assembly of nanoparticle-encapsulating hybrid protein cages

Protein cages are versatile platforms capable of encapsulating a wide range of nanoparticle cargo within biocompatible protein shells while providing tunable functionalities. Here, we investigated a self-assembly system that forms vesicle-like protein cages while simultaneously encapsulating nanoparticles at high density, yielding pomegranate-like protein- nanoparticle hybrid materials. Amphiphilic recombinant fusion protein building blocks based on elastin-like polypeptides, leucin zippers, and fluorescent proteins were employed to assemble vesicle-like protein cages via temperature-triggered liquid-liquid phase separation in the presence of fluorescent polystyrene nanoparticles. Analysis of nanoparticle encapsulation density and protein cage size indicates cooperative interactions between protein building blocks and nanoparticles that mediate the formation of protein-nanoparticle coacervate intermediates, which subsequently convert into core-shell hybrid protein cages, as further supported by kinetics studies. We demonstrate the self-assembly hybrid protein cages incorporating a fluorescent calcium sensor protein and titanium oxide nanoparticles, which exhibit a drastic enhancement in their calcium-sensing capability as a result of nanoparticle encapsulation. This platform offers a broadly applicable strategy that integrates protein biofunctionality with diverse nanoparticle properties for development of advanced hybrid materials.

biochemistry↗

Enabling wider access to human molecular neuroscience research in pain: A simple preservation method for human dorsal root ganglion neurons in Hibernate A media

The use of human dorsal root ganglion (DRG) from organ donors opens the door for research into the molecular biology and physiology of human nociceptors; however, there are barriers to working with this tissue including logistical difficulties and limited access. We present an approach using Hibernate media to temporarily store either whole DRGs or dissociated DRG neurons prior to culturing and functional testing. Dissociation of DRGs following temporary storage (4-16hrs) in Hibernate media resulted in similar neuronal and immune cell yield as acutely dissociated DRGs. Neurons derived from DRGs stored in Hibernate media prior to dissociation exhibited similar electrophysiological properties and capsaicin responses as acutely dissociated DRG neurons. Similarly, neurons from acutely dissociated DRGs stored in Hibernate media (>24hrs) and shipped to geographically distant laboratories produced neuronal cultures displaying comparable electrophysiological properties as acutely cultured neurons. This approach overcomes insurmountable logistical burdens and increases access to freshly recovered human DRGs.

neuroscience↗

Inflammation increases the penetrance of behavioral impairment in Shank3 haploinsufficiency mice -- can it explain the behavioral regression in Autism?

Behavioral regression occurs in [~]40% of SHANK3-associated autism spectrum disorder (ASD). We previously reported that significant behavioral regression in a small cohort with SHANK3 haploinsufficiency patients, triggered by subclinical infections, responded to immunomodulator treatments. We hypothesize that behavioral regression results from the interplay between SHANK3 deficiency and neuroinflammation. Using Shank3 exon 4-22 deletion heterozygous mutant (Sh3+/-) mouse, which shows no significant behavior impairments, we established a preclinical model - Shank3 haploinsufficiency mouse undergoing systemic inflammation challenge via intraperitoneal injection of lipopolysaccharides (LPS). We found that, two weeks after LPS challenge, wild-type mice (WT) recovered but Sh3+/- mice exhibited motor impairment, anxiety-like behaviors, and excessive grooming, similar to Shank3 exon 4-22 deletion homozygous mutants. Anti-inflammatory treatment partially reversed LPS-induced behavioral changes. Transcriptomic analysis revealed upregulation of neuroinflammation-related genes and downregulation of synaptic function-related genes in Sh3+/- mice in response to LPS. Especially, pro-inflammatory genes and microglia markers were overly activated that may result from the increased toll-like receptor 4 (TLR4) in Sh3+/- mice. Microglia overactivation elevated synapse engulfment and disrupted synaptic protein may underlie LPS-triggered worsen behavior phenotypes in Sh3+/- mice. Our findings indicate that neuroinflammation increases the penetrance of behavioral impairment in Shank3 haploinsufficiency mice and support a potential mechanism for the behavioral regression in human SHANK3 disorders for future investigations.

neuroscience↗

Characterization of the functional and clinical impacts of CACNA1A missense variants found in neurodevelopmental disorders

CACNA1A encodes the P/Q-type CaV2.1 calcium channels whose function underlies neuronal excitability, presynaptic neurotransmitter release, and Ca2+ signaling in neurons. Pathogenic variants in CACNA1A have been found in individuals with various neurological conditions, including hemiplegic migraine, epilepsy, developmental delay, and ataxia. Clinical presentations can vary significantly between patients, with limited information known about the underlying neurobiology of these different clinical patterns. Adding further complication, prior work on pathogenic missense variants has demonstrated variable impacts on CaV2.1 channel function, sometimes in opposite directions. As such, the relationships between specific coding variants, electrophysiological properties, and clinical phenotypes remain elusive. In this study, we determined the biophysical properties of an allelic series of 42 de novo missense CACNA1A variants discovered in a neurodevelopmental disorder cohort of more than 31,000 individuals, together with the most common eight coding variants found in the general population. We found that all but one de novo variant altered at least one aspect of the channel properties examined, and the majority (70%) of the variants reduced the channel current density. In addition, for variants that encode human CaV2.1 channels (hCaV2.1) with detectable currents, nearly 50% altered how channels respond to membrane potential, while common variations did not significantly change any channel biophysical properties. Coupled with our functional analyses and AlphaMissense prediction, we showed that CaV2.1 missense variants significantly underlie the risk of developmental epileptic encephalopathy. Subsequently, we examined the physiological impact of variant hCaV2.1 using NEURON simulations as an omnibus output of neuronal function and found that abnormal biophysical channel properties have a profound impact on Purkinje cell excitability. Most interestingly, we correlated the clinical phenotype with molecular consequences of missense variants provided by our comprehensive functional analyses and found that distinct CaV2.1 channel molecular function is significantly associated with different clinical outcomes. By analyzing an entire allelic series of CACNA1A de novo changes in a large cohort of individuals with neurodevelopmental disorders, we provide a powerful approach to dissecting the role of missense variants in CACNA1A channelopathy, which in turn may help pave the way for future precision medicine initiatives.

neuroscience↗

Self-assembly of microstructured protein coatings with programmable functionality for fluorescent biosensors

Proteins, as genetically programmable functional macromolecules, hold immense potential as biocompatible self-assembling building blocks. Despite their versatility in building coating materials, it has been often hindered from programming their functionality genetically. In this study, we demonstrate a modular self-assembly of protein coatings that are genetically programmable for a biosensor application. We designed recombinant fusion protein building blocks to form microstructured coatings on diverse substrates, such as glass or polymer, through a thermally triggered liquid-liquid phase separation and an orthogonal high-affinity coiled-coil interaction. We incorporated fluorescence proteins into coatings and controlled protein density to enable fluorescence imaging and quantification in a low-resource setting. Then, we created a coating for a calcium biosensor using a genetically engineered calcium indicator protein. This protein coating served as the foundation for our smartphone-based fluorescence biosensor, which successfully measured free calcium concentrations in the millimolar range at which extracellular calcium homeostasis is maintained. Using this fluorescence biosensor, we were able to detect abnormal physiological conditions such as mild or moderate hypercalcemia. We envision that this modular and genetically programmable functional protein coating platform could be extended to the development of highly accessible, low-cost fluorescent biosensors for a variety of targets.

bioengineering↗

HIGH THROUGHPUT QUANTITATION OF HUMAN NEUTROPHIL RECRUITMENT AND FUNCTIONAL RESPONSES IN AN AIR-BLOOD BARRIER ARRAY

Dysregulated neutrophil recruitment drives many pulmonary diseases, but most preclinical screening methods are unsuited to evaluate pulmonary neutrophilia, limiting progress towards therapeutics. Namely, high throughput therapeutic screening systems typically exclude critical neutrophilic pathophysiology, including blood-to-lung recruitment, dysfunctional activation, and resulting impacts on the air-blood barrier. To meet the conflicting demands of physiological complexity and high throughput, we developed an assay of 96-well Leukocyte recruitment in an Air-Blood Barrier Array (L-ABBA-96) that enables in vivo-like neutrophil recruitment compatible with downstream phenotyping by automated flow cytometry. We modeled acute respiratory distress syndrome (ARDS) with neutrophil recruitment to 20 ng/mL epithelial-side interleukin 8 (IL-8) and found a dose dependent reduction in recruitment with physiologic doses of baricitinib, a JAK1/2 inhibitor recently FDA-approved for severe COVID-19 ARDS. Additionally, neutrophil recruitment to patient-derived cystic fibrosis sputum supernatant induced disease-mimetic recruitment and activation of healthy donor neutrophils and upregulated endothelial e-selectin. Compared to 24-well assays, the L-ABBA-96 reduces required patient sample volumes by 25 times per well and quadruples throughput per plate. Compared to microfluidic assays, the L-ABBA-96 recruits two orders of magnitude more neutrophils per well, enabling downstream flow cytometry and other standard biochemical assays. This novel pairing of high-throughput in vitro modeling of organ-level lung function with parallel high-throughput leukocyte phenotyping substantially advances opportunities for pathophysiological studies, personalized medicine, and drug testing applications.

bioengineering↗

Modulation of metastable ensemble dynamics explains optimal coding at moderate arousal in auditory cortex

Past work has reported inverted-U relationships between arousal and auditory task performance, but the underlying neural network mechanisms remain unclear. To make progress, we recorded auditory cortex activity from behaving mice during passive tone presentation and simultaneously monitored pupil-indexed arousal. In these experiments, neural discriminability of tones was maximized at intermediate arousal, revealing a neural correlate of the inverted-U. We explained this arousal-dependent sound processing using a spiking model with clusters. In the model, stimulus discriminability peaked as the network transitioned from a multi-attractor phase exhibiting slow switching between metastable cluster activations (low arousal) to a single-attractor phase with uniform activity (high arousal). This transition also qualitatively captured arousal-induced reductions of neural variability observed in the data. Altogether, this study elucidates computational principles to explain interactions between arousal, neural discriminability, and variability, and suggests that transitions in the dynamical regime of cortical networks could underlie nonlinear modulations of sensory processing.

neuroscience↗

KvS regulatory subunits confer drug resistance to Kv2 channels

KvS proteins are voltage-gated potassium channel subunits that form functional channels when assembled into heteromers with Kv2.1 (KCNB1) or Kv2.2 (KCNB2). Mammals have 10 KvS subunits: Kv5.1 (KCNF1), Kv6.1 (KCNG1), Kv6.2 (KCNG2), Kv6.3 (KCNG3), Kv6.4 (KCNG4), Kv8.1 (KCNV1), Kv8.2 (KCNV2), Kv9.1 (KCNS1), Kv9.2 (KCNS2), and Kv9.3 (KCNS3). Electrically excitable cells broadly express channels containing Kv2 subunits and most neurons have substantial Kv2 conductance. However, whether KvS subunits contribute to these conductances has not been clear, leaving the physiological roles of KvS subunits poorly understood. Here, we identify that two potent Kv2 inhibitors, used in combination, can distinguish conductances of Kv2/KvS heteromers and Kv2-only channels. We find that Kv5, Kv6, Kv8, or Kv9-containing channels are resistant to the Kv2-selective pore-blocker RY785 yet remain sensitive to the Kv2-selective voltage sensor modulator guangxitoxin-1E (GxTX). Using these inhibitors in mouse superior cervical ganglion neurons, we find predominantly RY785-sensitive conductances consistent with channels composed entirely of Kv2 subunits. In contrast, RY785-resistant but GxTX-sensitive conductances consistent with Kv2/KvS heteromeric channels predominate in mouse and human dorsal root ganglion neurons. These results establish an approach to pharmacologically distinguish conductances of Kv2/KvS heteromers from Kv2-only channels, enabling investigation of the physiological roles of endogenous KvS subunits. These findings suggest that drugs which distinguish KvS subunits could modulate electrical activity of subsets of Kv2-expressing cell types.

neuroscience↗