Biology subjects

Wang, S.-Y.

Publications and source records attributed to Wang, S.-Y..

16 recordsLinked to original sources

bioRxiv2026

A split-control criterion for few-shot adaptation in single-cell perturbation prediction

Few-shot adaptation can help or harm single-cell perturbation prediction, but conventional evaluation shares a control estimate between calibration responses and held-out targets. We show how methods carry control error into their predictions and derive its contribution to score inflation. Nested control-depth experiments support inverse-depth scaling of inner-product inflation; correlation inflation also depends on the control noise-to-signal ratio. Independent-control scoring changed the rank of 40 of 52 configuration-dataset entries. We introduce SafeDelta, a split-control criterion that uses calibration data to decide whether to adapt. Across six datasets, mean gated gain was non-negative under the original two-control evaluation. On a deep plate, fixed predictions and decisions retained positive mean gains under three additional independent control references. The same reproducibility principle identified a fibrosis programme that localises to scar in human liver. These results inform adaptation decisions and control-depth planning.

bioinformatics↗

bioRxiv2026

OpenCRS: an open-source regulated human cardiorespiratory model with large-scale calibration and global sensitivity analysis at rest and during exercise

Cardiopulmonary exercise testing reveals cardiovascular and respiratory limitations not apparent at rest, but similar measurements can arise from different interacting regulatory mechanisms, preventing physiological causal inference from data alone. Mechanistic computational models can separate these mechanisms in silico. However, whole-body cardiorespiratory models contain hundreds of parameters, making global sensitivity analysis and calibration challenging. We present OpenCRS, an open-source Python cardiorespiratory model coupling closed-loop 0D lumped-parameter circulation with gas exchange and integrated autonomic and respiratory control. The framework incorporates baroreflex, chemoreflex, pulmonary stretch receptors, central command, and neuromuscular drive, together with novel representations of atrial dynamics and exercise baroreflex set-point resetting. We introduce a scalable calibration pipeline that (i) applies a derivative-based global sensitivity measure (DGSM) directly to the simulator, reducing 272 parameters to 72 influential ones; (ii) trains Gaussian process emulator surrogates within iterative History Matching to exclude implausible parameter regions; and (iii) performs Bayesian calibration (MCMC), inferring a joint posterior with Hamiltonian Monte Carlo (No-U-Turn sampler) under a Gaussian copula prior. A single maximum a posteriori parameter set simultaneously reproduced 50 literature-derived rest and exercise targets (45/50 within 1 SD, all within 1.83 SD), with the rest-to-exercise transition emerging from the models embedded feedback rather than independent fitting. Simulator-based DGSM agreed with constrained Sobol indices (mean Spearman rank correlation 0.79). Sensitivity analysis identified influential physiological mechanisms. Only 2-16 parameters contributed >2% of the Sobol total-effect sensitivity per target. Resting cardiovascular targets were driven by unstressed volumes and cardiac mechanics, while exercise shifted influence towards autonomic efferent regulation. Respiratory outputs remained most sensitive to chemoreflex and gas exchange parameters. These shifts capture coordinated cardiorespiratory adaptation to metabolic demand. More broadly, the framework provides a population-level prior with quantified uncertainty for cardiovascular digital twins and a reusable route for calibrating high-dimensional, regulated physiological models.

systems biology↗

bioRxiv2026

Integrated Proteo-Metabolomics of Urinary Extracellular Vesicles Reveals Early Molecular Divergence and Temporal Pathogenesis of Sepsis-Associated AKI

BackgroundSepsis-associated acute kidney injury (S-AKI) is a major contributor to morbidity and mortality in critically ill patients. However, the molecular mechanisms underlying its temporal progression remain poorly understood because conventional biomarkers primarily reflect renal dysfunction rather than disease pathogenesis. Urinary extracellular vesicles (uEVs), which carry kidney-derived molecular cargo, provide a promising platform for monitoring renal-specific biological alterations during disease progression. MethodsWe conducted a longitudinal multi-omics study of uEVs collected from 81 patients with sepsis, including 48 patients with S-AKI and 33 sepsis-only controls. Patients were randomly assigned to a discovery cohort (n = 52) and an independent validation cohort (n = 29). Urine samples were collected at Day 1, Day 4, and Day 8 after AKI diagnosis. High-resolution proteomic and metabolomic profiling was performed to characterize temporal molecular alterations. Enriched pathways identified in the discovery cohort were evaluated in the validation cohort using pathway-level concordance analysis. ResultsComparative analysis between S-AKI and sepsis-only patients identified distinct stage-specific molecular alterations throughout disease progression. At the early stage (Day 1), validated pathways included complement and coagulation cascades, ferroptosis, HIF-1 signaling, sphingolipid metabolism, and arachidonic acid metabolism, highlighting coordinated inflammatory, hypoxic, and lipid metabolic responses. During the mid-stage (Day 4), persistent activation of complement and coagulation cascades, ferroptosis, and HIF-1 signaling was accompanied by metabolic reprogramming involving alanine, aspartate and glutamate metabolism and tyrosine metabolism. Although limited sample availability reduced statistical power at Day 8, phenylalanine metabolism remained validated in the metabolomic analysis, suggesting persistent metabolic dysregulation during late-stage disease progression. ConclusionsThis study provides the first longitudinal, independently validated multi-omics characterization of human uEVs in S-AKI. By integrating proteomic and metabolomic profiling, we reveal the temporal evolution of renal-specific molecular pathways from early inflammatory and hypoxic responses to subsequent metabolic reprogramming. These findings establish uEV-based multi-omics as a promising strategy for molecular phenotyping of S-AKI beyond conventional clinical biomarkers and provide a valuable resource for future biomarker discovery and therapeutic target identification.

biochemistry↗

bioRxiv2026

Microglial pruning of extinction-ensemble synapses preserves fear memory

Fear extinction suppresses learned fear without erasing the original memory, yet how competing fear and extinction ensembles are selectively updated remains unknown. Here, we show that microglia preserve fear memory by selectively editing extinction-ensemble synapses during retrieval. In medial prefrontal cortex, microglial processes, but not somata, expand, ramify, and tighten their engagement with extinction-ensemble dendrites and spines, where they preferentially engulf excitatory postsynaptic material and bias spine remodeling toward elimination. This selectivity is instructed by local find-me, eat-me, and dont-eat-me cues: purinergic signaling recruits microglial processes, phosphatidylserine exposure licenses engulfment of extinction-ensemble synapses, and CD47-SIRP protects fear ensembles from removal. Weakening microglial recruitment or engulfment, or removing this protection, accelerates extinction without impairing fear acquisition. These findings identify microglial processes as active gatekeepers of ensemble competition and reveal a neuroimmune mechanism that preserves fear memory by limiting extinction. In BriefDuring memory updating, microglial processes selectively engage extinction-ensemble synapses rather than globally pruning active circuits. Local recruitment, engulfment, and protection cues determine this choice, allowing microglia to preserve fear memory by limiting extinction. HighlightsO_LIExtinction retrieval selectively recruits microglial processes to extinction ensembles. C_LIO_LIMicroglia preferentially engulf excitatory postsynaptic material from extinction ensembles. C_LIO_LILocal "find-me," "eat-me," and "dont-eat-me" cues determine synapse selection. C_LIO_LIDisrupting microglial pruning facilitates extinction without impairing fear learning. C_LI

neuroscience↗

bioRxiv2026

cGAS inhibition delays TDP-43-driven ALS Pathogenesis

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder marked by motor neuron loss and cytoplasmic mislocalization of TAR DNA-binding protein 43 (TDP-43), a key regulator of RNA splicing. However, the upstream modulators of this process remain poorly defined. Here we identify cyclic GMP-AMP synthase (cGAS) as a central mediator of TDP-43 pathology and associated mis-splicing. cGAS expression was elevated in ALS patient brains and enriched across activated microglia. In human iPSC-derived microglia-motor neuron co-cultures, neuronal TDP-43 pathology triggered microglial cGAS activation, whereas pharmacological inhibition with a potent human cGAS inhibitor reduced phosphorylated TDP-43, restored lysosomal and phagocytic programs, normalized microglial reactivity, and reversed TDP-43-associated RNA splicing defects. In vivo, cGAS inhibition in TDP-43 Q331K mice reversed widespread RNA splicing abnormalities across neurons and oligodendrocyte lineage cells, attenuated neurodegenerative pathology, and preserved motor function. Together, these findings identify cGAS as a druggable upstream regulator linking innate immune signaling to TDP-43-dependent RNA mis-splicing and neurodegeneration, and establish cGAS inhibition as a promising therapeutic strategy for ALS.

neuroscience↗

bioRxiv2025

Engineered Promoter System Enables High-efficiency Transgenic CRISPR Editing in Malaria Transmitting Mosquito Anopheles sinensis

The CRISPR/Cas9 system deployed through crosses of transgenic lines expressing Cas9 and gRNA facilitates efficient mutagenesis. However, its application in non-model insects remains limited, primarily due to a lack of well-characterized promoters capable of driving robust and stable expression of Cas9 and gRNA. In the malaria mosquito Anopheles sinensis, we evaluated several ovary-biased promoters--Asvasa2, Aszpg, and Asnanos--for driving Cas9 expression. Notably, the Asvasa2 promoter mediated mutagenesis in nearly 60% of G0 individuals following microinjection of gRNAAswhite. Among four RNA polymerase III promoters derived from AsU6 genes, AsU6-1 yielded the highest gRNA transcriptional output, enabling 62% editing efficiency in G0 offspring. In addition, hybrid crosses between established transgenic lines demonstrated that the Asvasa2-Cas9 and AsU6-1-gRNA combination enabled complete germline editing penetrance, where all F2 progeny inherited the intended mutations. This work provides a essential genetic toolkit for synthetic biology applications in Anopheles mosquitoes and a scalable framework for engineering other non-model insects.

genetics↗

bioRxiv2024

Thermodynamic Stability Modulates Chaperone-Mediated Disaggregation of α-Synuclein Fibrils

The aggregation of the intrinsically disordered protein alpha-synuclein into amyloid fibrils and their subsequent intracellular accumulation are characteristic features of several neurodegenerative disorders, such as Parkinsons disease. Currently, there are no curative treatment options available. In this study, we demonstrate that the thermodynamic stability of alpha-synuclein fibrils is a crucial factor influencing the efficiency with which they are disaggregated by the human chaperone system comprising HSP70, DNAJB1, and Apg2. We quantify the increasing stability of alpha-synuclein fibrils formed under four different solution conditions over a three-month incubation period. The chaperone system effectively disaggregates three out of the four fibril types, with varying efficiencies that correlate with their thermodynamic stability. The fibrils exhibit differential sensitivities to chaperone-mediated depolymerization, suggesting that both structural features and thermodynamic stability contribute to the susceptibility of alpha-synuclein fibrils to chaperone disaggregation. Our findings thus reveal a connection between the thermodynamic stability of fibrils and their susceptibility to chaperone-mediated disaggregation.

biophysics↗

bioRxiv2024

Identification and characterization of UBA5 inhibitors

UBA5 is a critical E1-activating enzyme in the UFMylation pathway, a post-translational modification process implicated in neurodegenerative diseases and cancers. In this study, we developed a high-throughput screening (HTS) assay to identify inhibitors of UBA5 from a library of blood-brain barrier (BBB)-permeable compounds. The assay, based on the AMP-Glo kit, enabled the identification of five novel UBA5 inhibitors belonging to three distinct chemical scaffolds with low micromolar IC50 values. These inhibitors demonstrated selectivity for UBA5 over other E1 enzymes, such as UBA1, and showed efficacy in inhibiting endogenous UFMylation in HEK293T cells. The identified inhibitors not only provided valuable tools for studying UFMylation but also represent potential therapeutic candidates for diseases associated with dysregulated UFMylation, such as Alzheimers disease and cancer. Further optimization of these compounds is necessary to enhance their potency and pharmacokinetic properties. Our findings highlight UBA5 as a promising therapeutic target and pave the way for the development of selective inhibitors that can modulate UFMylation in human diseases.

biochemistry↗

bioRxiv2024

Natural killer cell function is regulated by TGF-β signaling in pregnancy and tumor progression

The immune compartment of the maternal-fetal interface must balance between supporting maternal-fetal interactions and maintaining maternal tolerance. Despite recent advances, the cellular and molecular regulators that drive maternal immune cell remodeling remain largely unknown. Using index and transcriptional single-cell sorting, we comprehensively characterized the immune compartment dynamics in the maternal-fetal interface of both human and mouse and charted the markers and functional pathways associated with these cells. Comparing immune signatures in decidua and tumors of human and mice, we identify conserved gene modules that are activated in natural killer (NK) cells of both compartments, including TFG-{beta} signaling. Genetic ablation and antibody blockade of the TGF-{beta} pathway in NK cells resulted in enhanced anti-tumor immunity.

immunology↗

bioRxiv2024

One-for-all gene inactivation via PAM-independent base editing in bacteria

Base editing is preferable for bacterial gene inactivation without generating double strand breaks, requiring homology recombination or highly efficient DNA delivery capability. However, the potential of base editing is limited by the adjoined dependence on the editing window and protospacer adjacent motif (PAM). Herein, we report an unconstrained base editing system to enable the inactivation of any genes of interests (GOIs) in bacteria. We first employed a dCas9 derivative, dSpRY, as the effector to build a base editor with activation-induced cytidine deaminase, releasing the dependence on PAM. Then, we programmed the base editor to exclude the START codon of a GOI instead of introducing STOP codons to obtain a universal approach for gene inactivation, namely XSTART, with an overall efficiency approaching 100%. By using XSTART, we successfully manipulated the amino acid metabolisms in Escherichia coli, generating glutamine, arginine, and aspartate auxotrophic strains. The effectiveness of XSTART was also demonstrated in probiotic E. coli Nissle 1917 and photoautotrophic cyanobacterium Synechococcus elongatus, illustrating its potential in reprogramming clinically and industrially relevant chassis. To be noticed, we observed a relatively high frequency of off-target events as a trade-off for the efficacy and universality.

synthetic biology↗

bioRxiv2024

Defective Homologous Recombination and Genomic Instability Predict Increased Responsiveness to Carbon Ion Radiotherapy in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is inherently resistant to conventional chemo-and radiation-therapy. However, clinical trials showed that carbon ion radiotherapy (CIRT) with concurrent gemcitabine can be effective for treating unresectable locally advanced PDAC. In this study, we aimed to determine features that could identify patients who would benefit most from CIRT. A panel of human PDAC cell lines with various genetic backgrounds was leveraged to determine whether a subset could be identified that preferentially responds to CIRT. The cell lines displayed a differential response to CIRT as compared to {gamma}-rays as measured by relative biological effectiveness (RBE) calculated at 10% survival, which ranged from 1.96 to 3.04. Increased radiosensitivity correlated with decreased DNA double strand break (DSB) repair as measured by {gamma}H2AX foci resolution. We determined that the cell lines most sensitive to CIRT are defective in the homologous recombination (HR) DSB repair pathway and/or have high genomic instability due to elevated replication stress. Next, this knowledge was utilized to assess whether the HR pathway could be targeted to potentiate CIRT in vitro. It was determined that pretreating a radioresistant PDAC cell line with the HR inhibitor, B02, resulted in a marked increase in sensitivity to CIRT when treated with high linear energy transfer (LET) radiation in the spread-out Bragg peak (74.1-89.3 keV/m) but not at the entry LET (13.0-16.4 keV/m) in vitro as opposed to that seen with a NHEJ inhibitor. These data suggest a greater therapeutic index with the combination therapy in the tumor over normal tissues based on LET distribution. These data support the notion that PDAC tumors with defects in HR and/or those with high inherent replication stress respond to CIRT without the concern for excessive normal tissue toxicity. With the advent of agents targeting HR, the difference in tumor cell response in the entry region vs within the SOBP based upon the respective LETs of those regions of the beam profile, will be superior to agents that target NHEJ.

cancer biology↗

bioRxiv2022

Base Editing for Reprogramming Cyanobacterium Synechococcus elongatus

Global climate change demands carbon-negative innovations to reduce the concentration of atmospheric carbon dioxide (CO2). Cyanobacteria can fix CO2 from the atmosphere and can be genetically reprogrammed for the production of biofuels, chemicals and food products, making an ideal microbial chassis for carbon-negative biotechnology. However, the progress seems to be slowed down due to the lagging-behind synthetic biology toolkits, especially the CRISPR-Cas-based genome-editing tools. As such, we developed a base-editing tool based on the CRISPR-Cas system and deamination for cyanobacterium Synechococcus elongatus. We achieved efficient and precise genome editing at a single-nucleotide resolution, and identified the pure population of edited cells at the first round of selection without extra segregation. By using the base-editing tool, we successfully manipulated the glycogen metabolic pathway via the introduction of premature STOP codons to inactivate the corresponding genes. We demonstrated multiplex base editing by editing two genes at once, obtaining a nearly two-fold increase in the glycogen content. We present here the first report of base editing in the phylum of cyanobacteria, and a paradigm for applying CRISPR-Cas systems in bacteria. We believe that this work will accelerate the synthetic biology of cyanobacteria and drive more innovations to alleviate global climate change.

synthetic biology↗

bioRxiv2021

Cancer cell-autonomous cGAS-STING response confers drug resistance

As an evolutionarily conserved DNA-sensing machinery in innate immunity, the cGAS-STING pathway has been reported to play an important role in immune surveillance and tumor suppression. Recent evidence suggests an intriguing tumor- and metastasis-promoting effect of this signaling pathway, either in a cancer cell-autonomous or a cancer cell-nonautonomous, bystander cell-mediated manner. Here, we show a new face of cGAS-STING signaling whose activation in a cancer-cell-autonomous response manner confers drug resistance. Targeted or conventional chemotherapy drug treatment induced cancer cell cytosolic DNA accumulation and triggered subsequent cGAS-STING signaling activation in cancer cell lines and the human cell-derived xenograft tumors. This activation promoted an acquisition and maintenance of drug resistance which was prevented and overcome in vitro and in vivo by blockade of STING signaling. This finding highlights a new face of cGAS-STING signaling and an ability of cancer cells to hijack the evolutionarily conserved inflammatory signaling to counteract drug stress and warrants a caution in combining STING agonist with targeted or conventional chemotherapy drug treatment, a strategy prevailing in current clinical trials. Statement of significancecGAS-STING signaling has long been recognized as playing a key role in triggering antitumor immunity. We reveal a new face of cGAS-STING signaling and an ability of cancer cells autonomously to hijack the evolutionarily conserved inflammatory signaling to counteract drug stress.

cancer biology↗

bioRxiv2020

Single-cell landscape of immunological responses in COVID-19 patients

In COVID-19 caused by SARS-CoV-2 infection, the relationship between disease severity and the host immune response is not fully understood. Here we performed single-cell RNA sequencing in peripheral blood samples of five healthy donors and 13 COVID-19 patients including moderate, severe and convalescent cases. Through determining the transcriptional profiles of immune cells, coupled with assembled T cell receptor and B cell receptor sequences, we analyzed the functional properties of immune cells. Most cell types in COVID-19 patients showed a strong interferon-alpha response, and an overall acute inflammatory response. Moreover, intensive expansion of highly cytotoxic effector T cell subsets, such as CD4+ Effector-GNLY (Granulysin), CD8+ Effector-GNLY and NKT CD160, was associated with convalescence in moderate patients. In severe patients, the immune landscape featured a deranged interferon response, profound immune exhaustion with skewed T cell receptor repertoire and broad T cell expansion. These findings illustrate the dynamic nature of immune responses during the disease progression.

immunology↗

bioRxiv2018

AhRLK1, a CLAVATA1-like leucine-rich repeat receptor-like kinase of peanut, confers increased resistance to bacterial wilt in tobacco

Bacterial wilt caused by Ralstonia solanacearum is a devastating disease that infects hundreds of plant species. Host factors involved in disease resistance and pathogenesis remain poorly characterized. An up regulated and leucine-rich repeat receptor-like kinase characterized as CLAVATA1 and named AhRLK1 was obtained by microarray analysis in response to R. solanacearum in peanut. AhRLK1 contained presumably, a signal peptide, ten leucine-rich repeat (LRR) domains and conserved motifs of intracellular kinases. For subcellular localization, the AhRLK1 protein was visualized only in the plasma membrane. After inoculation with R. solanacearum, AhRLK1 was constantly up regulated in the susceptible variety Xinhuixiaoli but showed little changed in the resistant cultivar Yueyou92. Different hormones, including salicylic acid, abscisic acid, methyl jasmonate, and ethephon, induced expression, but expression was completely down regulated under cold and drought treatments. Transient overexpression provoked a hypersensitive response (HR) in Nicotiana benthamiana following agro-infiltration. Furthermore, in transgenic tobacco with overexpression of the gene, the resistance to R. solanacearum increased significantly. By contrast, most representative defense-responsive genes in HR, SA, JA and ET signal pathways such as NtHIN1, NtPR2, NtLOX1, and NtACS6, among others, were considerably up regulated in the AhRLK1 transgenic lines. Additionally, the EDS1 and PAD4 in the R gene signal were also up regulated in transgenic plants, but the NDR1 and NPR1 genes were down regulated. Accordingly, we suggest that AhRLK1 increases the defense response to R. solanacearum via HR and hormone defense signalling, associated with the EDS1 pathway of R gene signalling. The results provide new understanding of CLV1 function and will contribute to genetic enhancement of peanut.

plant biology↗

bioRxiv2018

Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes in prostate cancer

Purpose: Prostate cancer (PCa) causes a common male urinary system malignant tumour, and the molecular mechanisms of PCa remain poorly understood. This study aims to investigate the underlying molecular mechanisms of PCa with bioinformatics.\n\nMethods: Original gene expression profiles were obtained from the GSE64318 and GSE46602 datasets in the Gene Expression Omnibus (GEO). We conducted differential screens of the expression of genes (DEGs) between two groups using the R software limma package. The interactions between the differentially expressed miRNAs, mRNAs and lncRNAs were predicted and merged with the target genes. Co-expression of the miRNAs, lncRNAs and mRNAs were selected to construct the mRNA-miRNA and-lncRNA interaction networks. Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed for the DEGs. The protein-protein interaction (PPI) networks were constructed, and the transcription factors were annotated. The expression of hub genes in the TCGA datasets was verified to improve the reliability of our analysis.\n\nResults: The results demonstrated that 60 miRNAs, 1578 mRNAs and 61 lncRNAs were differentially expressed in PCa. The mRNA-miRNA-lncRNA networks were composed of 5 miRNA nodes, 13 lncRNA nodes, and 45 mRNA nodes. The DEGs were mainly enriched in the nuclei and cytoplasm and were involved in the regulation of transcription, related to sequence-specific DNA binding, and participated in the regulation of the PI3K-Akt signalling pathway. These pathways are related to cancer and focal adhesion signalling pathways. Furthermore, we found that 5 miRNAs, 6 lncRNAs, 6 mRNAs and 2 TFs play important regulatory roles in the interaction network. The expression levels of EGFR, VEGFA, PIK3R1, DLG4, TGFBR1 and KIT were significantly different between PCa and normal prostate tissue.\n\nConclusion: Based on the current study, large-scale effects of interrelated mRNAs, miRNAs, lncRNAs, and TFs were revealed and a model for predicting the mechanism of PCa was provided. This study provides new insight for the exploration of the molecular mechanisms of PCa and valuable clues for further research.

bioinformatics↗