Biology subjects

Zhao, W.

Publications and source records attributed to Zhao, W..

At least 109 records · Page 6Linked to original sources

bioRxiv2025

AIPAMPDS: an AI platform for antimicrobial peptide design and screening

Antimicrobial resistance (AMR) presents a pressing global health crisis, particularly in the post-pandemic era, underscoring the urgent need for innovative therapeutics. Antimicrobial peptides (AMPs) hold promises for combating multidrug-resistant infections but are hindered by challenges in clinical translation, including limited hemocompatibility and inefficient design processes. To overcome these obstacles, we developed AIPAMPDS, an AI-driven computational platform that integrates a deep generative model with multi-stage screening to design highly active, non-haemolytic AMPs. The platform features two key modules: (1) a Generative Pre-trained Transformer (GPT)-based framework for target-specific AMP generation, enabling rapid exploration of novel peptide sequences, and (2) a multi-neural network screening pipeline for dual evaluation of antimicrobial activity and toxicity. By systematically evaluating both AI-generated and natural candidate AMPs, we identified ten lead peptides for experimental validation, of which 90% exhibited negligible haemolytic activity while maintaining robust antimicrobial potency. AIPAMPDS bridges computational design and therapeutic application, significantly advancing AMP discovery and providing a powerful tool for next-generation antimicrobial development. The platform is freely accessible via a web server at https://amps.pianlab.cn/AIPAMPDS/. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/644774v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@14e9a20org.highwire.dtl.DTLVardef@168e811org.highwire.dtl.DTLVardef@5bd9beorg.highwire.dtl.DTLVardef@344c34_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2025

Visible-Light-Controlled Residue-Selective Cross-Linking for Deciphering Protein Complexes and Dynamic Protein-Protein Interactions in Live Cells

Cross-linking mass spectrometry (XL-MS) has emerged as an attractive technology for investigating protein complexes and protein-protein interactions (PPIs). However, commonly used cross-linking strategies present significant challenges for precise analysis of protein complexes and dynamic PPIs in native biological environments. Here we present the visible-light-controlled lysine-selective cross-linking (VL-XL) strategy for in-depth analysis of protein complexes and dynamic PPIs both in vitro and in live cells, building on light-induced primary amines and o-nitrobenzyl alcohols cyclization (PANAC) chemistry. We demonstrate that the VL-XL strategy effectively explores the dynamic dimerization of PD-L1 stimulated by exogenous modulators. Moreover, the VL-XL strategy successfully profiles the time-resolved EGF-stimulated EGFR interactome, providing valuable insights into the regulatory mechanisms of EGFR signaling and intracellular trafficking. Importantly, the VL-XL strategy efficiently deciphers the molecular glue (MG) induced dynamic PPIs and substrate profile of MG degrader, opening an innovative avenue for identifying neo-substrates. By harnessing the advantages of temporal controllability, good biocompatibility, and lysine selectivity, the VL-XL method simplifies MS data analysis and facilitates the acquisition of accurate structural information of protein complexes and the elucidation of elusive PPIs in live cells. Overall, the VL-XL strategy expands the XL-MS toolbox, and realizes in-depth analysis of protein complexes and dynamic PPIs, which will inspire innovative solutions for protein interactomes research and structural systems biology.

biochemistry↗

bioRxiv2025

NeoAtlas and NeoBert: A Database and A Predictive Model for Canonical and Noncanonical Tumor Neoantigens

Neoantigens are classified into canonical and noncanonical types. Noncanonical neoantigens include those derived from noncoding regions, transposable elements (TE), and intron retention events, and they have recently gained considerable attention in cancer immunity. We curated 35,574 non-redundant neoantigen-HLA pairs from 14 immunopeptidomes studies, by analyzing unique features and differences across various sources of neoantigens. This knowledge enabled us to develop machine learning models for the prediction of different types of neoantigens. Our data and models are available at a public portal (https://ngdc.cncb.ac.cn/neoatlas) to facilitate broad access and future research. This resource offers advanced functionalities, including integration with epigenome browsers which allow easy navigation of epigenomic datasets to support and confirm the expression of neoantigens. We further demonstrate that combining our database with mass spectrometry analysis can identify noncanonical neoantigens. The resource we constructed holds significant value and promise for the development of neoantigen-based vaccines.

systems biology↗

bioRxiv2025

Deciphering lung adenocarcinoma evolution and the role of LINE-1 retrotransposition

Understanding lung cancer evolution can identify tools for intercepting its growth. In a landscape analysis of 1024 lung adenocarcinomas (LUAD) with deep whole-genome sequencing integrated with multiomic data, we identified 542 LUAD that displayed diverse clonal architecture. In this group, we observed an interplay between mobile elements, endogenous and exogenous mutational processes, distinct driver genes, and epidemiological features. Our results revealed divergent evolutionary trajectories based on tobacco smoking exposure, ancestry, and sex. LUAD from smokers showed an abundance of tobacco-related C:G>A:T driver mutations in KRAS plus short subclonal diversification. LUAD in never smokers showed early occurrence of copy number alterations and EGFR mutations associated with SBS5 and SBS40a mutational signatures. Tumors harboring EGFR mutations exhibited long latency, particularly in females of European-ancestry (EU_N). In EU_N, EGFR mutations preceded the occurrence of other driver genes, including TP53 and RBM10. Tumors from Asian never smokers showed a short clonal evolution and presented with heterogeneous repetitive patterns for the inferred mutational order. Importantly, we found that the mutational signature ID2 is a marker of a previously unrecognized mechanism for LUAD evolution. Tumors with ID2 showed short latency and high L1 retrotransposon activity linked to L1 promoter demethylation. These tumors exhibited an aggressive phenotype, characterized by increased genomic instability, elevated hypoxia scores, low burden of neoantigens, propensity to develop metastasis, and poor overall survival. Re-activated L1 retrotransposition-induced mutagenesis can contribute to the origin of the mutational signature ID2, including through the regulation of the transcriptional factor ZNF695, a member of the KZFP family. The complex nature of LUAD evolution creates both challenges and opportunities for screening and treatment plans.

genomics↗

bioRxiv2025

Comprehensive profiling of N6-methyladnosine (m6A) readouts reveals novel m6A readers that regulate human embryonic stem cell differentiation

N6-methyladenosine (m6A) methylation has emerged as a prevalent RNA modification that extensively impacts various physiological and pathological processes via various post-transcriptional readout effects in mammals. High-throughput methylome profiling has outlined the landscape of m6A modification sites, but their downstream readouts require comprehensive investigation. To this end, we systematically assessed the effects of m6A on mRNA half-life, translation efficiency, and alternative splicing across five cell lines (A549, HEK293T, HUVEC, JURKAT, and human embryonic stem cells (hESCs)) using actinomycin D-disrupted temporal transcriptome sequencing, ribosome sequencing, and ultra-high-depth transcriptome sequencing, respectively. Our analysis, coupled with the integration of public and re-profiled m6A methylome data, revealed high cell type specificity in m6A readouts where m6A level alone is insufficient to predict m6A readouts. Machine learning models focused on the RNA binding protein (RBP) binding context of m6A sites demonstrated substantial predictive ability of m6A readouts while prioritizing putative m6A readers from their informative RBP features. Four novel m6A readers (DDX6, FUBP3, FXR2, and L1TD1) were identified and validated through m6A RNA pull-down assays and transcriptome-wide RBP binding site mapping. Notably, FUBP3, FXR2 and L1TD1 were found to regulate hESC differentiation without impairing self-renewal, underscoring their critical roles in stem cell biology. Together, this study bridges the gap in understanding m6A functional readouts and lays the groundwork for future research on m6A-mediated stem cell fate decisions.

genomics↗

bioRxiv2025

Lamin A/C safeguards replication initiation by orchestrating chromatin accessibility and PCNA recruitment

Lamin A/C, a nuclear lamina protein, is essential for maintaining nuclear architecture, organizing chromatin and preserving genomic stability. However, its role in regulating DNA replication remains unclear. This study investigates how Lamin A/C regulates proper activation of replication origins by orchestrating the chromatin structure and recruitment of proliferating cell nuclear antigen (PCNA). We demonstrate that Lamin A/C stabilizes replication domains (RDs) by restricting chromatin mobility, preserving spatial organization, and maintaining accessibility. Furthermore, Lamin A/C interacts with PCNA and sequesters a pool of PCNA, to regulate its recruitment to replication machinery. The loss of Lamin A/C leads to an increase in chromatin dynamics, RD accessibility, and PCNA availability at RDs, which together trigger excessive activation of replication origins, leading to replication stress and DNA damage. These disruptions prolong the S phase and compromise genome stability, highlighting Lamin A/C as a critical gatekeeper of balanced replication initiation. Our findings reveal Lamin A/Cs dual role in chromatin organization and replication machinery regulation, offering valuable insights into its involvement in replication-associated diseases and potential therapeutic opportunities through targeting replication dynamics.

biophysics↗

bioRxiv2025

Analysis of Head and Neck Cancer scRNA-seq Data Identified PRDM6 Promotes Tumor Progression by Modulating Immune Gene Expression

Head and neck squamous cell carcinoma (HNSCC) is a biologically aggressive and heterogeneous group of cancers with limited treatment options for patients who do not respond to standard therapies. While HPV-related HNSCCs tend to show better therapeutic outcomes, we still had limited understanding of the immune mechanisms underlying these cancers. Immune-responsive genes (IRGs) have emerged as critical factors in regulating both tumor progression and immune response. Recent advances in single-cell RNA sequencing (scRNA-seq) and the development of cell-type specific regulon inference tools, such as IRIS3, have provided new insights into the tumor immune microenvironment. In this study, we leveraged the IRIS3 platform to analyze scRNA-seq data from HNSCC patient samples, identifying novel transcription factor (TF)-IRG networks that contribute to tumor proliferation and immune escape. Specifically, we identified PRDM6, a histone methyltransferase, possesses the previously unknown role in promoting tumor cell proliferation by inducing IRG expression. We further demonstrated that HPV viral oncoproteins (E6/E7) oncoproteins up-regulate the PRDM6 expression, which associates PRDM6 with HPV-positive HNSCC.

cancer biology↗

bioRxiv2025

A pan-gene catalogue of Asian cultivated rice

The rice genome underpins fundamental research and breeding, but the Nipponbare (japonica) reference does not fully encompass the genetic diversity of Asian rice. To address this gap, the Rice Population Reference Panel (RPRP) was developed, comprising high-quality assemblies of 16 rice cultivars to represent japonica, indica, aus, and aromatic varietal groups. The RPRP has been consistently annotated, supported by extensive experimental data and here we report the computational assignment, characterization and dissemination of stably identified pan-genes. We identified 25,178 core pan-genes shared across all cultivars, alongside cultivar-specific and family-enriched genes. Core genes exhibit higher gene expression and proteomic evidence, higher confidence protein domains and AlphaFold structures, while cultivar-specific genes were enriched for domains under selective breeding pressure, such as for disease resistance. This resource, integrated into public databases, enables researchers to explore genetic and functional diversity via a population-aware "reference guide" across rice genomes, advancing both basic and applied research.

genomics↗

bioRxiv2025

Ultradeep N-glycoproteome Atlas of Mouse Reveals Spatiotemporal Signatures of Brain Aging and Neurodegenerative Diseases

The current depth of site-specific N-glycoproteomics is insufficient to fully characterize glycosylation events in biological samples. Herein, we achieved an ultradeep and precision analysis of the N-glycoproteome of mouse tissues by integrating multiple workflows. The largest N-glycoproteomic dataset to date was established on mice, which contained 91,972 precursor glycopeptides, 62,216 glycoforms, 8,939 glycosites and 4,563 glycoproteins. The database consisted of 6.8 million glyco-spectra (containing oxonium ions), among which 160,928 were high-quality spectra with confident N-glycopeptide identifications. The large-scale and high-quality dataset enhanced the performance of current artificial intelligence models for glycopeptide tandem spectrum prediction. Using this ultradeep dataset, we observed tissue specific microheterogeneity and functional implications of protein glycosylation in mice. Furthermore, the region-resolved brain N-glycoproteomes for Alzheimers Diseases, Parkinson Disease and aging mice revealed the spatiotemporal signatures and distinct pathological functions of the N-glycoproteins. A comprehensive database resource of experimental N-glycoproteomic data from this study and previous literatures were further established. This N-glycoproteome atlas serves as a promising tool for revealing the role of protein glycosylation in biological systems.

neuroscience↗

bioRxiv2025

Divergent stem cell mechanisms governing the primary body axis and appendage regeneration in the axolotl

Exploring the fundamental mechanisms of organ regeneration is crucial for advancing regenerative medicine. The axolotl tail represents a unique opportunity to study regeneration of the primary axis including segmented muscle, vertebrae and skin. During tail development, muscle stem cells (MuSCs) displayed expected specificity to the muscle lineage. Tail amputation, however, induced expansion of MuSC potential yielding clonal contribution to muscle, connective tissue including cartilage, pericytes, and fibroblasts. This expanded potential was not observed during limb regeneration, and cross-transplantation showed these differences in potential are intrinsic. ScRNA-Seq profiling revealed that tail MuSCs revert to an embryonic mesoderm-like state. Through genetic manipulation involving the over-expression of constitutively active TGF-{beta} receptors or Smad7 (antagonist of TGF-{beta} signaling) in MuSCs, we demonstrated that the levels of TGF-{beta} signal determine the fate outcome of MuSCs to connective tissue lineage or muscle respectively. Our findings illustrate a fundamental difference between regeneration of primary axis versus limb and offers a novel stem cell source for regeneration of axial skeletal tissues.

developmental biology↗

bioRxiv2025

PU.1 and TGF-β signaling transactivate CD103 expression in mast cells and dendritic cells: Opposite roles of GATA2 in the expression of mucosal mast cell-specific genes

Mucosal mast cells (MMCs) are distinguished from connective tissue MCs by the specific expression of integrin CD103 (E/{beta}7) and MC proteases Mcpt1 and Mcpt2. Although the expression of the Mcpt1 and Mcpt2 genes is cooperatively regulated by the transcription factor GATA2 and TGF-{beta} signaling in MMCs, the transcriptional mechanism of CD103 expression remains unknown. Here, we found that surface CD103 and Itgae mRNA levels were significantly increased by the knockdown (KD) of Gata2 in bone marrow-derived MCs (BMMCs), which was accelerated by a TGF-{beta} stimulation. Since the mRNA levels of Spi1 (encoding PU.1) were increased in Gata2 KD BMMCs, we examined the effects of PU.1 on CD103 expression. As expected, CD103 levels on BMMCs were significantly decreased by Spi1 KD and increased by Spi1 overexpression. Spi1 KD suppressed Itgae expression even in the presence of TGF-{beta} in BMMCs and peritoneal MCs, whereas Gata2 KD amplified the TGF-{beta}-induced increase in Itgae expression. The amount of PU.1 binding to the cis-element in the Itgae gene was significantly and moderately increased by Gata2 KD and the TGF-{beta} stimulation, respectively. Since PU.1 is an essential transcription factor for dendritic cells (DCs), we examined the role of PU.1 in CD103 expression on DCs. The KD experiment using BMDCs showed a significant decrease in CD103 levels in Spi1 siRNA-transfected BMDCs. We concluded that PU.1 affected CD103 expression on MMCs and DCs by transactivating the Itgae gene, and also that GATA2, which positively regulated the MMC-specific expression of Mcpt1 and 2, inhibited CD103 expression by repressing PU.1.

molecular biology↗

bioRxiv2025

Infectome Analysis of Small Mammals in Southern China Reveals Ecological Associations and Emerging Threats from Diverse Pathogens

Small mammals harbor a diverse array of zoonotic pathogens. To date, however, metagenomic surveys of these species have primarily focused on viral diversity, with limited attention paid to bacteria and eukaryotic pathogens. Additionally, the ecological determinants of pathogen diversity within these mammals have not been systematically examined. Herein, we employed a metatranscriptomics approach to survey the pathogen infectome of 2,408 individual samples, representing lung, liver, and gut tissues from 858 animals collected throughout Guangdong province, China, with a study design that accounted for host species, tissue, season, and geographic location. We identified 76 pathogen species, including 29 RNA viruses, 12 DNA viruses, 5 bacteria, and 30 eukaryotic pathogens, 33 of which were newly discovered. Tissue distribution analysis revealed distinct organotropisms, suggesting varied transmission routes, while host distribution analysis showed that each animal carried an average of one pathogen, with 10 pathogens widely distributed among mammalian orders. Our characterization of the geographic and seasonal patterns revealed that pathogen richness was primarily influenced by region, host species, and season, while pathogen composition was largely shaped by host genetic distance. Collectively, these data provide the first comprehensive insight into the dynamics of the pathogen infectome in these key mammalian disease reservoirs, highlighting the major factors driving pathogen diversity and transmission.

microbiology↗

bioRxiv2025

Optimized antibody with W32I mutation enhances antiviral efficacy against influenza

The influenza virus has caused a global pandemic with significant morbidity and mortality, highlighting the need to optimize antibodies for improved antiviral efficacy. The 3E1 antibody effectively neutralizes influenza subtypes H1 and H5 by inhibiting acid-induced conformational changes of hemagglutinin (HA). This study aimed to optimize the antibodys bioactivity by modifying amino acid residues, resulting in single-point mutants (3E1-L [W32I], 3E1-H [F103I]) and a double mutant (3E1-H+L [F103I, W32I]). The binding affinity, neutralizing activity, and antiviral mechanisms of the mutants were evaluated. Notably, the 3E1-L mutant showed significantly enhanced antiviral activity against H1N1 and H3N2 compared to wild-type 3E1, inhibiting both viral entry and release. The prophylactic and therapeutic efficacy of the 3E1-L mutant was validated. Molecular dynamics simulations of the 3E1-L/HA complex showed that the W32I mutation reduces steric hindrance between tryptophan at position 32 and the complementarity-determining region (CDR) L1 loop of HA. In conclusion, the W32I substitution enhances the antiviral activity of wild-type 3E1, making the optimization of 3E1-L a promising strategy for developing more effective influenza therapies.

immunology↗

bioRxiv2025

Emergence of Lignin-Carbohydrate Interactions During Plant Stem Maturation Visualized by Solid-State NMR

Lignification waterproofs and strengthens the secondary plant cell wall, while increasing the energy cost associated with releasing sugars for biofuel production. The physical association between lignin and the carbohydrate scaffold that accommodates lignin polymerization, as well as the temporally distinct roles of different lignin units and carbohydrate partners during lignification, remain largely unclear. Here we map the lignin-carbohydrate interactions by solid-state NMR in 13C-labeled Arabidopsis inflorescence stems as secondary cell walls are formed. Analysis includes wild-type and two mutants that either selectively or globally disrupt lignin biosynthesis. Mature cell walls in the basal regions of older stems are enriched in S-lignin and carbohydrate-lignin interactions. Acetylated xylan is the dominant mediator of interactions with S-lignin, while methylated pectin unexpectedly interacts with G-lignin during early-stage lignification. The critical role of S-lignin in stabilizing carbohydrate-lignin interface is emphasized by the weak lignin-carbohydrate interactions and compromised mechanical properties of a low-S fah1 mutant, whereas the ref3 mutant, with low overall lignin content but a higher S/G ratio, remained unaffected. These findings demonstrate that the molecular mixing pattern, rather than lignin content, is a key determinant of the structure and properties of lignocellulosic materials.

biophysics↗

bioRxiv2025

A robust platform streamlining aromatic noncanonical amino acid biosynthesis and genetic code expansion in E. coli

Genetic code expansion has significantly enhanced the diversity and functionality of proteins in the biological world, leading to a wide range of applications in catalysis, biology, and medicine. Despite the extraordinary advances in genetic code expansion over the past years, the availability and cost of noncanonical amino acids (ncAAs) remain one of the major obstacles, particularly for large-scale industrial production. In situ biosynthesis of ncAAs from commercially available precursors offers a promising solution to this challenge, yet only a few biosynthetic pathways for specific amino acids have been reported to date. To address this gap, we present a robust platform that couples the biosynthesis of aromatic amino acids with genetic code expansion in E. coli, enabling the production of proteins and peptides containing incorporated ncAAs. Forty amino acids with diverse functional groups were synthesized from aryl aldehydes by a biosynthetic pathway comprising two heterologously expressed enzymes and one endogenous enzyme. Nineteen of these amino acids were successfully incorporated into superfolder GFP (sfGFP) using three classic orthogonal translation systems. The platforms versatility was further demonstrated by the production of macrocyclic peptides and antibodies containing functional ncAAs, such as para-azidophenylalanine and para-boronophenylalanine. We envision that the simplicity, efficiency, compatibility, and broad applicability of this biosynthetic pathway and the platform will greatly facilitate the production of peptides, enzymes, and antibodies containing ncAAs, thereby accelerating their use in various applications. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=175 SRC="FIGDIR/small/631627v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@8a6d2eorg.highwire.dtl.DTLVardef@5f8b9org.highwire.dtl.DTLVardef@c514aorg.highwire.dtl.DTLVardef@acd66d_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2024

Dissociable neurofunctional and molecular characterizations of reward and punishment sensitivity

While the hyper-and hypo-reward or punishment sensitivities (RS, PS) have received considerable attention as prominent transdiagnostic features of psychopathology, the lack of an overarching neurobiological characterization currently limits their early identifications and neuromodulations. Here we combined microarray data from the Allen Human Brain Atlas with a multimodal fMRI approach to uncover the neurobiological signatures of RS and PS in a discovery-replication design (N=655 participants). Both RS and PS were mapped separately in the brain, with the intrinsic functional connectome in the fronto-striatal network encoding reward responsiveness, while the fronto-insular system was particularly engaged in punishment sensitivity. This dissociable functional connectome patterns related to RS and PS were also specific in differentiating decisions driven by social or monetary reward and punishment motivations. Further imaging transcriptomic analyses revealed that functional connectome variations for RS and PS were associated with topography of specific gene sets enriched in ontological pathways, including synaptic transmission, dopaminergic metabolism, immune response and stress adaptation. On the neurotransmitter level, the serotonin neuromodulator was identified as a pivotal hub regulating the intrinsic functional connectome patterns of RS and PS, with this process critically dependent on its interactions with dopaminergic, opioid and GABAergic systems. Overall, these findings indicate dissociable neural connectome mapping of RS and PS and highlight their linkage with transcriptomic profiles, which may offer valuable insights into the treatment evaluation for symptomatology relevant to reward/punishment processing deficits.

neuroscience↗

bioRxiv2024

Transient receptor potential vanilloid channel 2 contributes to multi-modal endoplasmic reticulum and perinuclear space dilations that can also be observed in prion-infected mice

Our recent work on the prion protein and Na+,K+-ATPases (NKAs) led us to revisit data from over 50 years ago, which suggested a similarity between vacuolation phenotypes in rodents poisoned with cardiac glycosides (CGs) and spongiform degeneration in prion disease. At that time, this hypothesis was dismissed because the vacuolation observed in prion diseases affects neurons, whereas CG poisoning in rodent brains led to swellings of the endoplasmic reticulum (ER) in astrocytes. We speculated that this difference might be specific to rodents and document here that the vacuolation shifts to neurons in mice expressing a humanized NKA 1 subunit. Next, we investigated the molecular mechanisms that could cause similar ER vacuolation in human cells in vitro. We found that certain stressors--such as overexpression of NKA subunits and exposure to specific toxins known to trigger the unfolded protein response--can induce a phenotype characterized by profound ER dilation that is most strikingly observed for the perinuclear space (PNS). The ion imbalance typically caused by functional NKAs does not contribute to this phenotype. In fact, it can occur even with the overexpression of catalytically inactive NKAs. Several lines of evidence, generated with pharmacological agents, ion-specific dyes, antagonists, and truncated expression constructs, suggest a calcium leak channel in the ER, known as transient receptor potential vanilloid 2 (TRPV2), plays a role in this ER and PNS dilation. Additionally, we observed that the formation of these vacuoles coincides with a decrease in steady-state levels of the lipid kinase PIKFYVE, which is recognized for its role in endolysosomal fission and fusion processes. Finally, we found evidence of vacuoles in cryo-sectioned brains of prion-infected mice that can be filled with a fluorescent marker targeted to the ER and PNS. This raises the possibility that this vacuolation phenomenon contributes to spongiform degeneration seen in prion diseases.

neuroscience↗

bioRxiv2024

Effect of OASL on OXA-induced immunogenic cell death in gastric cancer via cGAS-STING pathway

This study investigates the role of 2-5 oligoadenylate synthetase-like (OASL) in Oxaliplatin (OXA)-induced immunogenic cell death (ICD) in Gastric cancer (GC) cells through the cGAS-STING signaling pathway. Knockdown of OASL enhanced ICD expression, while overexpression had the opposite effect. RNA sequencing of OASL-knockdown and control GC cells treated with OXA revealed significant enrichment of the second messenger signaling pathway (cGAMP). cGAMP could directly activate STING as a second messenger, and cGAS was a key synthetic enzyme upstream of cGAMP. Next, the role of OASL in OXA-induced ICD in GC cells was validated through the cGAS-STING signaling pathway. The Co-IP and immunofluorescence results confirmed that the OASL and cGAS proteins can bind directly. Further research validated these findings in vivo. Results show that OASL regulates OXA-induced ICD in GC cells via the cGAS-STING pathway, impacting chemosensitivity. The findings suggest new targets and strategies for improving GC therapy by modulating OASL expression to enhance OXA sensitivity through immunogenic mechanisms.

cancer biology↗