Biology subjects

Yang, B.

Publications and source records attributed to Yang, B..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Cholesteryl Ester as a Prognostic Biomarker In IDH-wildtype Glioblastoma

Current treatment of IDH-wildtype glioblastoma (GBM) relies on the first-line chemotherapy-temozolomide. Although MGMT methylation is routinely conducted to predict chemosensitivity, its efficacy is often compromised. Thus, there is an urgent need to discover more accurate prognostic biomarkers. Cholesteryl ester (CE) has been recently recognized as a key feature of GBM, however, its role in GBM prognosis remains poorly understood. We first employed label-free stimulated Raman scattering (SRS) imaging to quantitatively analyze CE level in intact tumor tissues obtained from IDH-wildtype GBM patients. Our result revealed significantly prolonged 2-year overall survival (OS) in patients with CE level [≥] 40% compared to those with CE level < 40%. CE outperformed MGMT methylation for 2-year OS prognosis (AUC: 0.836 vs. 0.763). Importantly, CE also achieved superior prognostic performance over MGMT methylation on an independent cohort, with higher sensitivity (0.856 vs. 0.667), specificity (0.833 vs. 0.583), NPV (1.00 vs. 0.667), PPV (0.833 vs. 0.583). Given synergistic effects between CE and MGMT methylation, we developed a prognostic model combining these two biomarkers. Specially, machine learning (XGBoost) model exhibited optimal performance in the training cohort (AUC: 0.920), and maintained its superior performance on the independent cohort (sensitivity: 0.946, specificity: 0.873, NPV: 1.00; PPV: 0.917). Mechanistically, integrative analysis of TCGA database linked poor prognosis to the coordinated upregulation of genes involved in cholesterol efflux, hydrolysis, transport, and inhibition of de novo synthesis, unraveling a possible underlying mechanism between poor prognosis and cholesterol metabolism. This work identified CE as a prognostic biomarker for IDH-wildtype GBM.

neuroscience↗

bioRxiv2026

Interactomics-driven discovery of alkaloid biosynthetic pathways in kratom

Plant monoterpene indole alkaloids (MIAs) exhibit important pharmacological activities, yet understanding of their biosyntheses remains incomplete. Since protein-protein interactions (PPIs) represent a conserved regulatory mechanism in MIA-producing plants, we developed a large-scale, yeast-based screening pipeline to profile PPIs of a key enzyme, strictosidine {beta}-D-glucosidase (SGD) from Mitragyna speciosa (kratom). This screen identified six novel medium-chain dehydrogenases/reductases (MDRs) as high-confidence interaction partners of SGD. Biochemical characterization revealed that all six MsMDRs produce an MIA we named charlamine by acting directly on the reactive strictosidine aglycone intermediate, preventing its spontaneous rearrangement and establishing a functional rationale for SGD-MDR interaction. One MsMDR additionally catalyzed the reduction of vallesiachotamine, derived from the spontaneous rearrangement of strictosidine aglycone, to another previously unreported MIA, vallesiachotaminol. Parallel transcriptomics and genomics analyses uncovered a biosynthetic gene cluster containing a dihydrocorynantheine aldehyde esterase, functioning downstream of MsMDRs. Collectively, these findings demonstrate the utility of interactomics-driven plant pathway discovery. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/722234v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@1ccc22dorg.highwire.dtl.DTLVardef@1e03f3borg.highwire.dtl.DTLVardef@15773deorg.highwire.dtl.DTLVardef@782ae0_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2026

Cardiac oxidative stress monitoring enabled by hierarchical mechanical adaptation

Soft bioelectronics have advanced cardiac monitoring through electrophysiological tracking, yet this alone cannot resolve the metabolic pathology essential to surgical decision-making. However, real-time molecular sensing on beating hearts remains unresolved due to deformation-induced sensor failure and stress-induced metabolite artifacts. This challenge is exemplified by ischemia-reperfusion injury (IRI), a major cardiac surgery complication characterized by reactive oxidative species (ROS) bursts, where true pathological ROS signals being confounded by mechanotransduction-induced ROS artifacts. Herein, we propose an enzymatic cardiac oxidative stress biosensor (E-cardiac) with hierarchical mechanical adaptation: macro-scale biofluid-mediated contact, micro-scale fiber reorganization, and nano-scale enzymatic confinement within gold nanoarches dissipate interfacial stress. This produces ultrathin ([~]460 nm), soft (0.79 kPa) E-cardiac with robust electrochemical stability (100% strain), low detection limit (380 nM), rapid adhesion (<3 s), stable biosensing on beating heart, as well as minimal invasive deployment capability. Mechanical analysis and cellular studies confirm mitigated stress-induced ROS and absent PIEZO channel activation. Validated across cardiomyocytes, ex vivo tissues, multi-species ischemia models (mouse, rat, rabbit, pig), rat ischemia-reperfusion injury, and Langendorff hearts simulating graded perfusion deficits, E-cardiac quantitatively differentiates IRI severity (sham < ischemia < reperfusion) as well as detecting the "ECG blind window". The E-cardiac platform provides real-time metabolic feedback for surgical guidance during cardiac procedures, enabling timely intervention before irreversible damage.

bioengineering↗

bioRxiv2026

Exercise-induced Sweat Promotes Wound Healing in Diabetic Foot Ulcers

Persistent hyperglycemia impairs wound healing in diabetic patients, and severe cases may even lead to disability or death. Glycemic control alone cannot effectively prevent the occurrence of diabetic foot ulcers, a serious complication of diabetes. However, safe, efficient, and cost-effective therapies remain unavailable and are urgently needed. Using a novel sports medicine paradigm, we predicted, based on reverse-transcriptomics, that exercise-induced sweat has the potential to promote would healing in diabetic foot ulcers. Subsequent animal experiments demonstrated that sweat can indeed promote re-epithelialization and collagen deposition, upregulate the expression of the proliferation marker Ki-67, the angiogenesis marker CD31, and -SMA, and significantly accelerate wound healing in a mouse model of diabetic foot ulcers. This study provides a new direction for sports medicine and offers a novel therapeutic strategy for patients with diabetic foot ulcers.

zoology↗

bioRxiv2026

The chitin receptor-interacting protein LIK1 regulates extracellular ATP signaling via interaction with P2K1 in Arabidopsis thaliana

Previously, the chitin receptor-interacting protein kinase LIK1 (LysM receptor kinase 1/CERK1-interacting kinase) was shown to play an important role in regulating chitin signaling and plant defense. A limited proteolysis proteomics study revealed several LIK1-derived peptides that showed differential abundance between ATP-treated and mock-treated Arabidopsis samples, suggesting a possible involvement of LIK1 in extracellular ATP (eATP) signaling. To explore this possibility, LIK1 mutants were obtained and examined for their response to ATP. The results showed that mutations in LIK1 significantly reduced the expression of eATP-responsive genes. In addition, LIK1 was found to interact with the eATP receptor P2K1 and to be phosphorylated by it. The LIK1 protein was localized to the plasma membrane and its gene expression appeared to be ubiquitous. Collectively, these findings indicate that LIK1 not only contributes to chitin signaling but also participates in eATP signaling, highlighting its potential role as a shared component in multiple signaling pathways to regulate plant responses to diverse internal and external cues.

plant biology↗

bioRxiv2026

TopicVI: A Knowledge-guided deep interpretable model for resolving context-specific gene programs

Mechanistic insights from single-cell and spatial transcriptomics largely rely on cell clustering, differential expression analysis, and interpretation through prior biological knowledge. However, this approach is often limited by the reliance on curated biological priors that fail to capture context-specific gene programs, particularly in complex disease states. To address this gap, we introduce TopicVI, a deep interpretable model that integrates established biological knowledge with data-driven refinement to discover context-dependent gene programs in single-cell and spatial transcriptomic data. TopicVI jointly infers cell clusters and gene topics using optimal transport to flexibly align prior gene programs with observed data while permitting context-specific refinements. Comprehensive benchmarking demonstrates that TopicVI outperforms existing methods in biological conservation, batch correction, topic coherence, and rare cell identification. TopicVI effectively disentangles multiple sources of biological variation, such as separating anatomy-specific expression patterns from disease-associated signatures in spatial transcriptomics. Applying TopicVI to glioblastoma datasets, we identify gene topics related to cell cycle regulation and EGFR signaling that reveal convergent tumor states across distinct drug perturbations. By integrating prior knowledge with data-driven discovery, TopicVI enables identification of interpretable gene programs that illuminate biological processes and therapeutic mechanisms in complex transcriptomics data.

bioinformatics↗

bioRxiv2026

Polyclonal-Monoclonal Transition in Lung Squamous Cell Carcinoma Evolution

The evolutionary trajectory of lung squamous cell carcinoma (LUSC) remains poorly defined, hindering the development of effective therapies. By integrating genomic and transcriptomic sequencing from human LUSC specimens, we delineated a polyclonal-to-monoclonal evolutionary trajectory during LUSC progression. This evolutionary pattern was corroborated by single-cell RNA sequencing, which revealed consistent tumor cell heterogeneity. Specifically, the SBS5 mutational signature was enriched and correlated with poor prognosis independent of tumor stage. By further utilizing the spontaneous LUSC mouse model to identify key genomic and genetic events in LUSC progression, we observed that the JNK pathway was inhibited and that cytoskeleton-related pathways were dysregulated during LUSC development, and identified the mutations in the JNK pathway (e.g., DACT1) and cytoskeletal regulators (e.g., KIF26A). Collectively, these findings established a polyclonal-monoclonal evolution paradigm for LUSC, potentially regulated by JNK pathways, which could benefit LUSC precision therapeutics.

genomics↗

bioRxiv2026

High-Fidelity Long-term Whole-embryo Lineage and Fate Reconstruction by Iterative Tracking with Error Correction

Reconstructing the complete cell lineages and fate maps of a living embryo has remained a central challenge in developmental biology. Here we introduce ITEC (Iterative Tracking with Error Correction), a fully unsupervised method that automatically reconstructs the lineage of every cell in the embryo with high fidelity. ITEC was validated with manually annotated lineages on four cross-species datasets including zebrafish, mouse, and Drosophila. We reconstructed the developmental lineages of a zebrafish embryo from terabyte-scale data of total 18.5 million cells with an estimated accuracy of over 99.7%. With ITEC, we revealed spatiotemporal dynamics of key morphogenetic processes such as somite boundary formation, demonstrated the various patterns of spatial sorting among adjacent organs or anatomical regions, and identified associations between cellular movement and spatial transcriptomics. ITEC provides a powerful platform for retrospective fate mapping and systematic exploration of developmental dynamics at the cellular scale and single-embryo level.

bioinformatics↗

bioRxiv2026

The neural control of infanticide and parental behaviors in male mice

Infanticide, the killing of conspecific young, is a natural behavior observed commonly in non-parental animals across species, including mice. Our recent study in female mice revealed a mutually inhibitory circuit, composed of estrogen receptor alpha cells in the medial preoptic area (MPOAEsr1) and the posterior part of the bed nucleus of stria terminalis (BNSTpEsr1), that controls pup-directed behaviors, with the former driving maternal care and the latter promoting infanticide. Given that both MPOA and BNSTp are sexually dimorphic, here we asked whether the same circuit operates in males. Our functional manipulations and in vivo and in vitro recordings reveal that MPOAEsr1 and BNSTpEsr1 cells similarly and respectively drive paternal care and infanticide and antagonize each other in male mice. Furthermore, during fatherhood, MPOAEsr1 cell excitability increases while BNSTpEsr1 cell excitability decreases to enable the switch from infanticide to paternal care. Despite the similarity in circuit organization, a direct comparison between males and females reveals sex differences in the intrinsic properties of MPOAEsr1 and BNSTpEsr1 cells. Thus, MPOAEsr1-BNSTpEsr1 emerges as a common circuit motif for controlling pup-directed behaviors in both sexes, whereas the activity balance between these two populations differs between sexes and likely contributes to the different tendencies in males and females to express pup-caring versus killing behaviors.

neuroscience↗

bioRxiv2026

MERFISH 2.0, an ultra-sensitive single-cell spatial transcriptomics imaging chemistry across diverse tissue types

Spatial transcriptomics has emerged as a transformative approach for elucidating tissue architecture, cellular heterogeneity, and disease mechanisms by preserving the spatial context of gene expression in cells. Despite these advances, many spatial transcriptomic methods underperform in archival or clinically relevant specimens, particularly formalin-fixed, paraffin-embedded (FFPE) tissues, where RNA degradation and crosslinking hinder transcript detection. To address these challenges, we developed Multiplexed Error Robust Fluorescence In Situ Hybridization 2.0 (MERFISH 2.0), an optimized spatial transcriptomic imaging chemistry to enhance profiling of fragmented and highly crosslinked RNA. Across diverse human and mouse tissues preserved as fresh-frozen, fixed-frozen, and FFPE specimens, MERFISH 2.0 substantially increased transcript detection sensitivity by up to [~]8-fold relative to MERFISH 1.0 while preserving quantitative concordance (Pearson r [≥] 0.8 across tissues). In archived fresh-frozen human brain samples, MERFISH 2.0s enhanced sensitivity improved transcript recovery, enhanced cell type resolution and spatial analyses. In low quality archival FFPE human breast cancer specimen, MERFISH 2.0 revealed additional cell populations, novel cell clusters, refined tumor-immune architecture, and increased detection of gene-gene and cell-cell interactions relative to MERFISH 1.0, underscoring the impact of improved sensitivity on downstream spatial analysis. By substantially expanding robust transcript detection to degraded and archival samples, MERFISH 2.0 enables scalable, cohort-level spatial transcriptomic analysis across clinically relevant tissue collections.

genomics↗

bioRxiv2026

Progressive Backmapping of Highly Coarse-Grained Protein Models

Reconstructing all-atom (AA) structures from highly coarse-grained (HCG) models remains a significant challenge in multiscale molecular dynamics (MD) simulations, particularly for mesoscale biomolecular assemblies that are beyond the reach of conventional MD methods. Building upon ProNet Backmapping, a neural-network-based thermodynamically consistent approach, we introduce a progressive backmapping framework that reconstructs AA models in a stepwise manner across neighboring resolutions, for example, from a 3-residue-per-site HCG model to a 1-residue-per-site model, then to an AA model. This progressive backmapping method achieves high accuracy across a wide range of proteins and effectively reconstructs flexible linkers in multidomain architectures. Moreover, it supports hierarchical reconstruction of complex protein assemblies, including multiple virus-like particles spanning tens of nanometers and containing hundreds of subunits. Using this framework, we demonstrate--for the first time--the ability to hierarchically backmap entire viral assemblies from HCG to full AA resolution, covering at least three different resolutions. Overall, our method provides a scalable framework for incorporating atomistic detail into mesoscale simulations of complex systems across many applications in chemistry and biology. Table of contents figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=70 SRC="FIGDIR/small/709104v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@4af423org.highwire.dtl.DTLVardef@e2669borg.highwire.dtl.DTLVardef@1be80eforg.highwire.dtl.DTLVardef@2e679_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2026

IRE1 drives a homeostatic response to reduced protein influx into the endoplasmic reticulum

IRE1, alongside ATF6 and PERK, orchestrates the Unfolded Protein Response, a network of signaling pathways that maintains endoplasmic reticulum (ER) homeostasis. Two modes of IRE1 activation are known: i) in response to an accumulation of unfolded proteins in the ER lumen and ii) in response to compositional changes to the ER membrane that alter its physical properties. Here we identify a third, independent mode of IRE1 activation: ER co-translational translocation deficits activate IRE1 through a mechanism that relies on the release of IRE1 molecules from unoccupied translocons. We define this mechanism as TRES for "TRanslocon Engagement Surveillance". TRES leads to spontaneous activation of IRE1 and bypasses its unfolded protein- and ER membrane composition-sensing functions. Inhibiting translation initiation similarly activates IRE1 by TRES, as it leads to a decline in ER protein import, thus linking the Integrated Stress Response to IRE1 signaling. TRES drives IRE1 activation without activating ATF6 or PERK, resulting in a distinct gene expression program that feeds back by boosting the co-translational translocation machinery to rebalance the ER protein load. Our findings thus demonstrate that monitoring and adjusting the rates of protein translocation are critical for maintaining ER homeostasis.

cell biology↗

bioRxiv2026

Sub-second Extracellular Impedance Measurement of Epithelial Cell Monolayers using Step Excitations and Time-domain Analysis

Extracellular electrochemical impedance spectroscopy (EIS) is emerging as a powerful technique in in vitro epithelial research, offering quantitative insights into barrier integrity, morphology, and apical-basolateral polarity noninvasively through metrics such as transepithelial electrical resistance (TER/TEER), transepithelial capacitance (TEC), and membrane ratio (), respectively. However, due to the broad range of frequencies probed, EIS typically requires tens of seconds per measurement, limiting its ability to capture more rapid biological phenomena. We present Time-domain Epithelial Impedance Measurement (TEIM), a method for sub-second extracellular impedance measurements of epithelial cell monolayers based on step (Heaviside function) current excitation and time-domain analysis of the voltage transients, without the need for Fourier transforms. We experimentally demonstrate TEIM measuring TER, TEC, , and model-derived impedance spectrum at [~]0.3 s sampling rate, which represents a 100- fold improvement in time resolution compared with traditional EIS. The accuracy and precision of TEIM were benchmarked against EIS on both electrical circuits and epithelial cell monolayers of immortalized Human Bronchial Epithelial (16HBE) and Human Colorectal Adenocarcinoma (Caco-2) (n = 3 for each), and average percent errors for TER, TEC, and ranged from 0.17-3.55%, 1.13-8.96%, and 0.59-26.35%, respectively. Application of TEIM to monitor Caco-2 responses to saponin, a quick-acting pore-forming detergent, revealed smoothly gated double-exponential transient TER and TEC dynamics that were too rapid to be adequately captured previously using EIS. Overall, TEIM enables electrophysiology studies of rapid changes in epithelial cell culture models and possibly more complex in vitro models, holding promise for future applications in areas such as disease modeling, therapeutic development, and beyond.

bioengineering↗

bioRxiv2026

A novel uN2CpolyG Transgenic Mouse Model Recapitulates Multisystemic polyG Proteinopathy Pathology of Neuronal Intranuclear Inclusion Disease

Neuronal intranuclear inclusion disease (NIID) is a polyglycine disease that primarily affects the neuronal and neuromuscular systems. Here, we developed a novel transgenic mouse model that faithfully recapitulates the multisystemic impairments associated with polyG intranuclear inclusions. Our findings demonstrate that polyG expression induces neurodegeneration, behavioral deficits, and age-dependent accumulation of uN2CpolyG aggregates across multiple tissues.

animal behavior and cognition↗

bioRxiv2026

Disease diagnosis via sperm motility variations induced by body fluids in bioassay

Precise diagnosis of high-risk conditions such as cardiovascular and cerebrovascular diseases still remains a challenge. We previously developed a microfluidic chip for sperm selection and observed that sperm motility is highly sensitive to environmental changes. Building on this finding, we hypothesized that motility traits of sperm could be differentially modulated by body fluids from healthy versus diseased individuals, thereby serving as potential biomarkers for disease diagnosis. To test this hypothesis, we designed a diagnostic system in which mouse sperm were co-incubated with serum samples from patients with myocardial infarction, cerebral infarction, and pancreatitis, along with matched healthy controls. Key kinematic parameters--including motility rate (MR), curvilinear velocity (VCL), straight-line velocity (VSL), linearity (LIN), and amplitude of lateral head displacement (ALH)--were analyzed using a multiparameter sperm quality analysis system. The results revealed that disease-specific serum induced distinct and reproducible changes in sperm motility patterns, enabling accurate discrimination between healthy and pathological conditions. Evaluation of these motility parameters demonstrated high diagnostic performance, with area under the receiver operating characteristic curve (AUC) values ranging from 0.719 to 0.888. This sperm-based bioassay offers a non-invasive, rapid, and cost-effective platform for disease detection and personalized health assessment, with the potential to complement existing diagnostic approaches.

bioengineering↗

bioRxiv2026

IBDkb: an AI-enhanced integrative knowledge base for inflammatory bowel disease research and drug discovery

IBDkb (Inflammatory Bowel Disease Knowledge Base; https://www.biosino.org/ibdkb) is a freely accessible, integrated web-based platform that systematically curates and harmonizes multi-source data related to inflammatory bowel disease (IBD). To address the fragmentation and therapeutic gaps in existing specialized resources, IBDkb establishes a unified framework featuring advanced full-text search, interactive visualizations, cross-module knowledge graphs, and AI-powered utilities for real-time literature retrieval, trend analysis, text/PDF interpretation, and domain-specific conversational assistance. The platform currently integrates 98,453 research articles, 3,390 clinical trials, 200 investigational drugs, 200,606 bioactive compounds, 103 therapeutic targets, 77 experimental models, 12 pathogenesis summaries, and 15 treatment strategies. These integrated tools facilitate efficient exploration of complex associations among drugs, targets, trials, and mechanisms, thereby accelerating hypothesis generation and translational research in IBD. The platform is openly available without registration and supports data downloads. A case study on structure-aware drug comparison further demonstrates its utility in facilitating cross-disease drug repositioning hypotheses.

bioinformatics↗

bioRxiv2026

Chromosome-level genome assembly and annotation of the degu (Octodon degus)

High-quality reference genomes are essential for comparative and functional genomics yet remain unavailable for many emerging model organisms. Here, we report OctDeg2.0, a chromosome-level genome assembly and annotation of the degu (Octodon degus), generated using PacBio HiFi long-read sequencing and Hi-C scaffolding from a single male individual. Octodon degus is of growing interest as a natural animal model for aging and Alzheimers disease research. The 3.4 billion base-pair assembly comprises 28 autosomes and both sex chromosomes, with markedly improved contiguity and completeness over the prior short-read assembly while maintaining high base accuracy. The new assembly provides substantially enhanced gene annotation, clearer resolution of chromatin architecture and cis-regulatory element landscapes, with much improved characterization of repetitive and structurally complex regions, including centromeres and segmental duplications. We present a streamlined and reproducible pipeline for high-resolution de novo genome assembly and gene annotation applicable to other emerging model organisms. This work establishes a robust genomic resource for studying molecular and cellular mechanisms in health and disease in Octodon degus.

genomics↗

bioRxiv2026

KAMALA, a genome edited rice variety with improved yield by finetuning cytokinin oxidase activity released in India

Increasing yield is of major importance for Asian and African food security. Knock out mutants in the rice cytokinin oxidase gene CKX2 had shown potential for yield improvement. Here we explored whether subtle changes in CKX2 activity by editing FAD and cytokinin binding site sequences could improve the Indian mega-variety Samba Mahsuri. Knock out and single mutants in FAD and cytokinin binding sites induced by CRISPR/Cas12a caused moderate yield increases. Among 80 CKX2 alleles, five lines with in-frame mutations in both FAD and cytokinin binding domains produced even higher yield. One line, KAMALA, showed superior agronomic performance in 18 field locations (irrigated and rainfed ecologies) over three seasons in trials conducted by AICRPR (All India Coordinated Research Project on Rice), with an average 19% grain yield increase, early maturity, complete panicle emergence, and unaltered grain quality. KAMALA was registered as the first genome-edited variety ready for cultivation by Indian farmers.

plant biology↗