Biology subjects

Zhao, H.

Publications and source records attributed to Zhao, H..

At least 127 records · Page 7Linked to original sources

bioRxiv2025

A Rare Multipotent Peg-like Epithelial Cell is a Candidate Cell-of-Origin for High-Grade Serous Ovarian Cancer

To illuminate the origins of high-grade serous ovarian cancer (HGSOC), the most lethal and common form of ovarian cancer, we have created a comprehensive living organoid biobank of human fallopian tube tissue, which is thought to be the origin of this cancer. Through optimized culture protocols and integrated multi-omic profiling--including single-cell RNA sequencing, chromatin accessibility (ATAC) analysis, proteomics, and secretomics--we assembled the largest molecular atlas of the fallopian tube epithelium to date. This resource revealed diverse epithelial lineages and regulatory networks, including a rare, multipotent epithelial subpopulation with hybrid epithelial-mesenchymal features. Spatially localized to the basal epithelium and resembling mesonephric developmental precursors, these cells exhibit transcriptomic and proteomic similarities to the mesenchyme-like subtype of HGSOC, implicating them as potential cells-of-origin. Their molecular identity is preserved in organoid models, enabling future mechanistic and translational studies. This resource, which advances fundamental understanding of epithelial hierarchy and cancer susceptibility, provides a platform to inform early detection and prevention strategies for aggressive forms of ovarian cancer. HighlightsO_LIEstablishment of a clinically annotated fallopian tube organoid biobank enables delineation of epithelial lineage hierarchies and differentiation capacity. C_LIO_LIMulti-omics integration defines robust, lineage-specific transcriptional and regulatory networks in the fallopian tube epithelium. C_LIO_LIA rare basal epithelial subpopulation with mesenchymal features aligns with a mesenchyme-like subtype of high-grade serous ovarian cancer. C_LIO_LIRare basal peg cells exhibit fetal mesonephric developmental transcriptional programs and are maintained ex-vivo in fallopian tube organoids. C_LI

cancer biology↗

bioRxiv2025

Uterine immune dysregulation after asynchronous transfer induced embryonic apoptosis in mice

Asynchronous embryo transfer is widely used in assisted reproduction, yet its adverse effects and mechanisms remain unclear. This study investigates implantation failure in D1.5 pseudopregnant mice to elucidate mechanisms underlying asynchronous transfer. Blastocysts were transferred into uterine horns of D1.5 (Group A), D2.5 (Group B), and D3.5 (Group C) recipients. Implantation sites were counted at D7.5, and embryos were recovered within 3 hours post-transfer for analysis. Multibarcode single-cell RNA sequencing was applied to embryos and uterine tissues. Embryo recovery rate in Group A was significantly lower than in Groups B and C (p<0.01), with an abnormal embryo rate of 68.67%. Hoechst 33342/PI double staining revealed dead-cell features in abnormal embryos. Transcriptomic analysis of embryos showed downregulated DNA damage repair and structural maintenance genes in Group A. GO and KEGG analyses highlighted enrichment in transcriptional regulation and cell cycle pathways. GSEA identified activated apoptosis pathways, with intrinsic (mitochondrial) and extrinsic (death receptor TNFR-mediated) apoptosis genes significantly upregulated (p<0.05). Uterine transcriptome analysis revealed downregulated collagen family genes (ECM maintenance) but upregulated immune-related genes (IL family, CDs, C3) in Group A. Functional enrichment confirmed ECM and immune regulation pathway involvement. Gene network analysis identified Clca1, Smpdl3a, Tmprss4, Muc4, Cfb, and Nupr1 as key regulators of D1.5 uterine immunity/inflammation. D1.5 uterine immune dysregulation induces embryonic stress and inflammation. Impaired DNA damage repair activates intrinsic apoptosis, while upregulated TNFR signaling triggers extrinsic apoptosis, collectively blocking embryonic development toward implantation competence. These findings provide mechanistic insights into optimizing embryo transfer timing and improving reproductive outcomes.

immunology↗

bioRxiv2025

Albumin-STING Nanocomplex Reprograms HSPCs to Antitumor Neutrophils with Enhanced MHC I Antigen Presentation for Cancer Immunotherapy

Tumor-associated immunosuppressive neutrophils, termed myeloid-derived suppressor cells (MDSCs), compromise cancer immunotherapy. They can be pathologically programmed as early the hematopoietic stem and progenitor cell (HSPC) stage by suppressing interferon signaling. Reprogramming HSPCs toward antitumor neutrophils through the stimulator of interferon genes (STING) activation offers a promising therapeutic strategy. Here, we demonstrate that an albumin-STING nanoagonist (Nano ZSA-51D) reprograms HSPCs to generate antitumor neutrophils, enhancing MHC I-mediated CD8 T cell immunity. Nano ZSA-51D activates STING-interferon signaling in HSPCs, promoting their expansion and differentiation toward granulocyte-monocyte progenitors via STING-NF-{kappa}B-IL-6 signaling. It further reprograms neutrophils into CD14ICAM-1+ subset through STING-NF-{kappa}B-TNF- signaling, enhancing tumor infiltration. These neutrophils upregulate interferon signaling and MHC I antigen presentation, boosting tumor-specific CD8 T cell responses. Adoptive transfer of Nano ZSA-51D-reprogrammed neutrophils with -PD1 therapy achieves complete colon tumor remission. Our findings provide a novel strategy to reprogram HSPCs toward antitumor neutrophils and highlight the potential of early interventions at HSPC stage to rewire neutrophil fate for cancer immunotherapy.

immunology↗

bioRxiv2025

MAESTRO uncovers tandem paralog dynamics as a core driver of fungal stress adaptation

Understanding how fungi adapt to diverse stresses is critical for mitigating emerging drug resistance and harnessing their robustness for biotechnology. Pichia kudriavzevii is a stress-tolerant and intrinsically drug-resistant yeast, with dual industrial and clinical importance. We analyzed 170 strains using MAESTRO, a machine-learning-assisted GWAS pipeline optimized for small cohorts. MAESTRO identified biologically meaningful features and revealed that copy number variation (CNV) of tandem paralogs (TPs) is a core mechanism of multi-stress adaptation. TPs were recurrently linked to tolerance of industrial inhibitors (HMF, phenolics, heat) and antifungal drugs (fluconazole, azoles), and deletion of the TP pair gene4260/gene4261 confirmed pleiotropic effects across stresses. These findings support a TP CNV model where recombination-driven TP CNVs and gene fusions enable rapid stress adaptation. Importantly, our results suggest that antifungal resistance can arise through co-option of mechanisms originally evolved for environmental stressors, raising a One Health concern about the environmental origins of drug-resistant pathogens.

genomics↗

bioRxiv2025

An activated wheat CCG10-NLR immune receptor forms an octameric resistosome

Nucleotide-binding and leucine-rich repeat (LRR) receptors (NLRs) are widespread intracellular immune sensors across kingdoms. In plants, the G10-type coiled-coil (CCG10)-NLRs form a distinct phylogenetic clade that remains poorly characterized. Here, we identified a gain-of-function (GOF) mutant of Wheat Autoimmunity 3 (WAI3), designated WAI3GOF, which encodes a constitutively activated CCG10-NLR protein due to an amino acid substitution. Cryo-EM structural analysis revealed that activated WAI3 assembles into a distinctive octameric resistosome. Arabidopsis RPS2, another CCG10-NLR, also forms an octamer, indicating a conserved structural property across monocot and dicot plants. The WAI3 resistosome mediates a prolonged and sustained increase in cytosolic calcium influx, facilitated by a unique channel architecture arising from its divergent CC domain configuration. Notably, this domain arrangement may be shared by many plant NLRs that lack the conserved EDVID motif in their CC domains. Our findings uncover a previously uncharacterized resistosome structure and provide insights into plant immune receptor plasticity.

plant biology↗

bioRxiv2025

Capturing trophectoderm-like stem cells enables step-wisely remodeling of placental development

The trophectoderm produced from totipotent blastomeres initiates trophoblast development, while placental deficiencies can cause pregnancy disorders. Yet, a culture system that fully recapitulates the entire placenta development is still lacking, greatly limiting related studies. Here, we captured mouse trophectoderm-like stem cells (TELSCs), which can give rise to all trophoblast lineages and be applied to generate trophoblast organoids. We achieved the induction and maintenance of TELSCs from totipotent blastomere-like stem cells or early embryos through a Hippo-YAP/Notch-to-TGF{beta}1 signaling switch. At the molecular level, TELSCs resemble E4.5 trophectoderm and are distinct from all previously known trophoblast-like stem cells. Functionally, TELSCs can generate all trophoblast lineages in both teratoma and chimera assays. We further applied TELSCs to generate trophoblast organoids containing various mature trophoblasts and a self-renewing extraembryonic ectoderm (ExE)-like progenitor population. Interestingly, we observed transiently formed rosette-like structures that rely on Itgb1, which are essential to induce ExE-like progenitors and to generate organoids eventually. Thus, the capture of TELSCs enables comprehensive insights into placental development. HighlightsO_LITELSCs were robustly induced and long-term maintained from TBLCs and early embryos using a newly developed Hippo-YAP/Notch-to-TGF{beta}1 signaling switch strategy C_LIO_LITELSCs resemble E4.5 trophectoderm at the molecular level and generate all trophoblast lineages both in vivo and in vitro functionally C_LIO_LITELSCs can be applied to generate trophoblast organoids containing multiple mature subtypes and a self-renewing ExE-like population C_LIO_LIRosette structure formation that relies on Itgb1 is critical to induce ExE-like progenitors and to eventually form trophoblast organoids C_LI

cell biology↗

bioRxiv2025

Ceramide-induced Endoplasmic Reticulum Stress as a Targetable Vulnerability in Endocrine Therapy-Resistant Breast Cancer

Despite the success of endocrine therapy (ET) in treating hormone receptor-positive breast cancer, a significant proportion of patients relapse during or after treatment, making ET resistance a major clinical challenge. Previously we have shown that ET-resistant breast cancer cells exhibit reduced ceramide levels and an increased sensitivity to ceramide-induced cell death. Here, we demonstrate that ceramides induce a distinct transcriptional reprogramming in ET-resistant cells, characterized by upregulation of endoplasmic reticulum stress (EnRS) pathways. Ceramide-induced EnRS is PERK-dependent and functionally linked to cell death in multiple models of ET resistance. Using a photoactivatable ceramide probe, we identify TRAM1 as a functionally important ceramide-interacting protein (CIP) in ET-resistant cells that correlates with worse relapse-free survival and a more aggressive breast cancer phenotype in luminal breast cancer patients. Additionally, knockdown of TRAM1 phenocopies ceramide action in ET resistance, thereby suggesting its role in mediating ceramide-induced lethal actions in ET resistance. Together, our findings reveal that ET-resistant breast cancer cells are more sensitive to PERK-mediated EnRS as compared to their ET-sensitive counterparts. Ceramides can exploit this dependence by interacting with CIPs such as TRAM1, leading to PERK activation and consequential cell death preferentially in the ET-resistant breast cancer models.

cancer biology↗

bioRxiv2025

Characterization of membrane structures regulating primary ciliogenesis by quantitative isotropic ultrastructure imaging

The trafficking, docking, and fusion of membrane vesicles at the mother centriole (MC) are required to construct the primary cilium. Here, we determined the three-dimensional (3D) membrane ultrastructures, and associated proteins, involved in primary cilium assembly upstream of axoneme growth. Our work reveals that the enlargement of small vesicles docked to the MC is a key trigger for ciliogenesis progression, a process requiring the MC distal appendage protein CEP164. We show these vesicles subsequently fuse to form tubular C-shaped and an unprecedented toroidal membrane intermediates, which ultimately organize into the ciliary vesicle covering the MC distal end. The formation of these previously uncharacterized tubular membrane ciliogenesis intermediates is orchestrated by the membrane trafficking regulators EHD1 and RAB8, and requires the IFT-B complex protein IFT88. Remarkably, we show that EHD1, through its membrane tubulation function, regulates ciliogenesis progression by directly promoting CP110/CEP97 removal from the MC cap. The establishment of these tubular membrane structures is also associated with the recruitment of the ciliary gate transition zone proteins. This study changes the architectural framework for understanding ciliogenesis mechanisms and highlights the application of isotropic ultrastructure imaging and three-dimensional quantitative analysis in understanding membrane trafficking and organelle biogenesis mechanisms.

cell biology↗

bioRxiv2025

A single-cell transcriptomic atlas of the pigtail macaque placenta in late gestation

The placenta is a complex organ with multiple immune and non-immune cell types that promote fetal tolerance and facilitate the transfer of nutrients and oxygen. The nonhuman primate (NHP) is a key experimental model for studying human pregnancy complications, in part due to similarities in placental structure, which makes it essential to understand how single-cell populations compare across the human and NHP maternal-fetal interface. We constructed a single-cell RNA-Seq (scRNA-Seq) atlas of the placenta from the pigtail macaque (Macaca nemestrina) in the third trimester, comprising three different tissues at the maternal-fetal interface: the chorionic villi (placental disc), chorioamniotic membranes, and the maternal decidua. Each tissue was separately dissociated into single cells and processed through the 10X Genomics and Seurat pipeline, followed by aggregation, unsupervised clustering, and cluster annotation. Next, we determined the maternal-fetal origins of cell populations and analyzed single-cell RNA trajectory, Gene Ontology enrichment, and cell-cell communication. Single-cell populations in the pigtail macaque were strikingly similar in their identity and frequency to those found in the human placenta, including cells from trophoblast, stromal cell, immune, and macrophage lineages. An advantage of our approach was the deep sequencing of three tissues at the maternal-fetal interface, which yielded a rich diversity of common and rare single-cell populations. The third-trimester pigtail macaque single-cell atlas enables the identification of cellular subclusters analogous to those in humans and provides a powerful resource for understanding experimental perturbations on the NHP placenta.

genomics↗

bioRxiv2025

Model Agnostic Conditioning of Boltzmann Generators for Peptide Cyclization

Macrocyclic peptides offer strong therapeutic potential due to their enhanced binding affinity and protease resistance, but their design remains a challenge due to limited structural data and tools that address only a narrow set of cyclization chemistries. Moreover, existing models are built to only consider ground state or mean conformations, rather than conformational ensembles that more accurately describes peptides. We introduce CO_SCPLOWYCC_SCPLOWLOPS (a Cyclic Loss for the Optimization of Peptide Structures), a model-agnostic framework that conditions Boltzmann generators to sample valid cyclic conformations--without retraining. To overcome the scarcity of cyclic peptide data, we reformulate the design problem in terms of conditional sampling over linear peptide structures via chemically informed loss functions. CO_SCPLOWYCC_SCPLOWLOPS encompasses 18 possible inter-amino acid crosslinks enabled by 6 diverse chemical reactions, and is readily extensible to many more. It leverages tetrahedral geometry constraints, using six interatomic distances to define a kernel density-estimated joint distribution from MD simulations. We demonstrate CO_SCPLOWYCC_SCPLOWLOPSs versatility via two distinct generative models: a modified Sequential Boltzmann Generator (SBG) (Tan et al., 2025) and the Equivariant Normalizing flow (ECNF) of Klein & Noe (2024). In both settings, CO_SCPLOWYCC_SCPLOWLOPS successfully biases the Boltzmann distribution toward chemically plausible macrocycles.

biophysics↗

bioRxiv2025

ALK1-BMPRII agonism by clustering bispecific antibodies treats hereditary hemorrhagic telangiectasia

Hereditary hemorrhagic telangiectasia (HHT) is characterized by arteriovenous malformations (AVMs) and severe bleeding caused by loss-of-function mutations in the ALK1 receptor pathway. We developed clustering agonist bispecific antibodies (BsAbs) targeting ALK1 and its activating partner, the Ser/Thr receptor kinase BMPRII. These BsAbs induced ALK1-BMPRII proximity association, stimulated the downstream Smad1/5/8 signaling cascade, and treated HHT pathologies in various mouse models. BsAb treatment reduced AVM burden by up to 95% in HHT mice, preventing anemia, cardiomegaly, and premature death. The BsAbs also enhanced Smad1/5/8 signaling in endothelial cells derived from HHT patients with ALK1 mutations and prevented retinal AVMs in a newly developed knock-in mouse carrying an HHT-causing ALK1 mutation. These findings establish ALK1-BMPRII agonism as a promising therapeutic strategy for HHT.

cell biology↗

bioRxiv2025

GIN-CRC-Pareto: A graph-based Pareto-optimal multi-task learning framework to identify miRNA-target interactions in colorectal cancer

Colorectal cancer (CRC) ranks as the third highest incidence among malignancies in humans and the second most common cause of cancer-related mortality in the United States. Accumulating evidence has established microRNAs (miRNAs) as critical regulators of cancer development and therapeutic response. Understanding miRNA-mRNA interactions is critical for elucidating the molecular mechanisms driving CRC and other malignancies. In this study, we proposed GIN-CRC-Pareto, a graph-based, Pareto-optimal multi-task learning framework that simultaneously predicts miRNA-mRNA binding pairs, identifies seed match pairings, and classifies seed match subtypes. By leveraging the power of graph neural networks and Pareto-optimal gradient balancing strategy, GIN-CRC-Pareto dynamically adjusted the task weights during training to optimize each task without compromising the others. Experimental results demonstrated that our framework consistently outperforms traditional deep learning models and existing state-of-the-art tools across multiple evaluation metrics, with 0.909 in accuracy, 0.909 in precision and 0.968 in AUC in the miRNA-mRNA binding pairs prediction task. Additionally, we further validated the generalizability of the framework in combination with transfer learning techniques to identify miRNA-target interactions across other cancers. These findings highlight the effectiveness of the proposed framework to comprehensively identify the miRNA-target interactions in CRC, with the potential to serve as a scalable and generalizable tool across diverse cancer types, ultimately facilitating the development of miRNA-based therapeutics for cancer treatment.

bioinformatics↗

bioRxiv2025

Improving polygenic risk prediction performance through integrating electronic health records by phenotype embedding

Large-scale biobanks provide comprehensive electronic health records (EHRs) that capture detailed clinical phenotypes, potentially enhancing disease risk prediction. However, traditional polygenic risk score (PRS) methods rely on simplified phenotype definitions or predefined trait sets, limiting their ability to represent the intricate phenotypic structures embedded within EHRs. To address this gap, we introduce a general framework, EEPRS, that leverages phenotype embeddings derived from EHRs to improve genetic risk prediction using only genome-wide association study (GWAS) summary statistics, enabling accurate, robust and interpretable risk prediction for a wide range of diseases. Employing embedding methods such as Word2Vec and GPT, we conducted EHR embedding-based GWAS and identified a distinct cardiovascular cluster via hierarchical clustering of genetic correlations. Across 41 clinical traits in the UK Biobank, our EEPRS framework consistently outperformed traditional single-trait PRS, particularly within this identified cluster. Validation using PRS-based phenome-wide association studies (PRS-PheWAS) further confirmed robust associations between EHR embedding-based PRS and circulatory system diseases. Furthermore, our data-adaptive method, EEPRS_optimal, employing cross-validation to select the best embedding method, leading to additional improvements in prediction. We further developed MTAG_EEPRS for multi-trait PRS, resulting in averaging 92.48% improvement in R2 for continuous traits and 24.06% in AUC for binary traits compared to single-trait PRS. Overall, EEPRS represents a robust and interpretable framework, enhancing genetic prediction accuracy through integrating EHR embeddings with single-trait and multi-trait PRS.

genetics↗

bioRxiv2025

GFAP Proteolysis in TBI: Linking Novel Modified Cleavage Products to Astrocyte Pathology and Patient Outcomes

Glial fibrillary acidic protein (GFAP) is a significant clinical biomarker of traumatic brain injury (TBI), yet understanding the nature, timing, and impact of its degraded and modified products would inform clinical utility. We report novel GFAP breakdown products (BDPs) and post-translational modifications (PTMs) that are unique to TBI including fragment- and patient-specific citrullination signatures that destabilize GFAP filaments. GFAP and its fragments were sequenced by mass spectrometry (MS) from severe TBI patients cerebrospinal fluid (CSF) and sera, identifying two distinct TBI-specific jointly generated product sets within the rod-domain covering coil1 (20-26kDa) and coil2 (15-19kDa). Their endings differed from GFAP fragments described in Alzheimers and Alexander disease. Label-free quantification showed biofluid co-product abundance differences with coil1-BDPs enriched over coil2-BDPs. Coil imbalance was independently confirmed by immunoblot densitometry in twenty-three TBI patients. Measurements over ten days showed injury day peaks of full-length and end-clipped GFAP fragments, while proteolytic 37/39kDa and small fragments remained elevated. Six-month outcome (Extended Glasgow Outcome Scale) correlated with GFAP fragments, whereas levels of uncleaved and end-clipped GFAP did not. A human astrocyte culture trauma model provided mechanistic insights linking fluid GFAP levels, subcellular localization, and injury-induced astrocytopathy. A new cleavage site between the two coils was identified through selective epitope loss. Coil1-BDPs were fluid-released post-injury, while coil2-BDPs remained intracellular. Their cellular retention was explained by non-filamentous aggregation of citrulline-modified coil2-BDPs in pathological astrocytes. Trauma-triggered proteolysis involved calpains and caspases in specific astrocyte injury states using protease inhibitors and live-dye-reporter imaging. These novel data link TBI biofluid GFAP fragments with assembly-defective GFAP aggregation in pathological astrocytes. Clinical TBI outcome correlated with GFAP degradation rather than with overall GFAP release. These translational findings indicate that TBI biomarker GFAP undergoes degradation and modification alongside astrocyte pathology, providing a new conceptual framework for investigating biomarker-associated astrocyte proteinopathy potentially linked to post-traumatic neurodegeneration.

neuroscience↗

bioRxiv2025

Missense3D-PTMdb an interactive web resource to explore and visualize genetic variants and post-translational modifications sites (PTMs) using AlphaFold 3D models

Only a fraction of the >11 million missense variants identified in the human population has a known damaging or tolerated clinical impact. Post-translational modifications (PTMs), such as phosphorylation, glycosylation and ubiquitination, are key regulators of protein function and structure, and are critical for protein localisation, stability and interactions with other molecules. The ability of a protein to undergo PTMs, is subject to a correctly folded protein structure, and the recognition and binding of enzymes to specific amino acid motifs in close proximity to residues that undergo PTMs [PTM residue]. AlphaFold models provide an unprecedented opportunity to perform sequence-structure mapping of variants, which are in close linear or spatial proximity to a PTM site and should have their impact on protein function experimentally investigated. We present Missense3D-PTMdb, a "one-stop-shop" interactive web tool that provides a user-friendly sequence-structure mapping of 20,235 human proteins to 11,544,303 naturally occurring human missense variants, 203,775 PTM sites and their neighbours in sequence and 3D structure space using AlphaFold generated 3D models of the human proteome. Additionally, the sequence-structure mapping tool allows visualization and exploration of any human variant not currently stored in the database. Missense3D-PTMDb is freely available at https://missense3d.bc.ic.ac.uk/ptmdb.

genetics↗

bioRxiv2025

A versatile enzymatic pathway for modification of peptide C-termini

Advances in bioinformatics have enabled the discovery of unique enzymatic reactions, particularly for ribosomally synthesized and post-translationally modified peptides (RiPPs). The recently discovered daptides, peptides with their C-terminus replaced by an amine, represent one such case, but the diversity, requirements, and engineering potential of daptide biosynthesis remain to be established. Using the daptide biosynthetic gene clusters from Thermobifida fusca and Streptomyces azureus, we reconstituted daptide biosynthesis in vitro, revealing the enzymatic requirements for successive oxidative decarboxylation, transamination, and N,N-dimethylation. In vitro and in vivo studies showed a tailoring family of YcaO enzymes convert a secondary amine intermediate to a C-terminal imidazoline. We further demonstrated enzymatic activity toward shortened, leader peptide-free, and non-native core peptides, highlighting a broad substrate tolerance. Using these insights, we directed the daptide pathway to install new C-termini, including a bioconjugation-compatible aminoacetone, on various peptide and protein substrates.

biochemistry↗

bioRxiv2025

Pde10a gates light responses in the SCN to regulate circadian photoentrainment

Light is the principal cue for synchronizing the circadian clock. A common feature of the clock among all organisms is the lack of responsiveness to light during the daytime. To understand the interaction between the circadian clock and light, we described the transcriptome of the suprachiasmatic nucleus (SCN) in mice across different circadian times under both constant darkness (DD) and in response to light exposure. In addition to classifying 10 distinct molecularly-defined SCN neuronal subtypes, we uncovered that SCN exhibits significant transcriptomic responsiveness to light during daytime, the so-called behavioral "dead zone". We further identified Pde10a, a cyclic nucleotide phosphodiesterase, as the first critical component for gating SCN responsiveness to light across the day and thus maintaining robust daily oscillations under regular light-dark conditions.

neuroscience↗

bioRxiv2025

Granulin+ macrophages promote lineage plasticity in prostate cancer through paracrine signaling loops

The role of tumor-infiltrating immune cells in driving phenotype switching remains unclear, despite the well-established association between lineage transition and drug resistance in prostate cancer. This study employed an integrated analysis of single-cell multiomics to investigate the dynamics of immune infiltration, transcriptional programs, and cell-cell communication in prostate cancer. Our results demonstrated that granulin (GRN) positive macrophages facilitated the transition from adenocarcinoma to a multilineage state with mesenchymal and stem-like traits by activating intra-tumoral NF-{kappa}B signaling. Subsequently, the multilineage clones induced macrophages to highly express granulin through the secretion of CSF1, forming a positive feedback cell communication loop. Next, we validated the biological function of granulin in mediating epithelial-mesenchymal transition in vitro. Additionally, organoids drug resistance assay demonstrated that granulin drove resistance to androgen receptor (AR)-targeted drug (enzalutamide). Moreover, pharmacologic blockade of the CSF-1/CSF-1R axis in TRAMP mouse models reduced the expression of GRN in macrophages and suppressed the formation of multilineage subclones in prostate malignant cells. Furthermore, multiplex immunofluorescence staining of tumor samples from TRAMP mouse models revealed the VIM lineages were spatially in close contact with macrophages. Meanwhile, Cytometry by Time-Of-Flight (CyTOF) analysis validated our findings at single-cell protein level in patients with castration-resistant prostate cancer. Besides, three distinct tumor-infiltrating subsets associated with disease relapse were identified, including DCN+ endothelial cells, CCL7+ fibroblasts, and IFIT1+ neutrophils. These results offer potential therapeutic targets to address lineage plasticity-driven resistance to AR-targeted therapy.

cancer biology↗