Biology subjects

Zou, M.

Publications and source records attributed to Zou, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Creator 1.0: Phylogeny-Guided Stagewise Pretraining for Plant Genome Foundation Models across 1,000 Species

Genomic language models have advanced DNA sequence analysis, but their applicability to plant-specific tasks and representation changes during pretraining remain poorly characterized. Here, we present Creator 1.0, a 2-billion-parameter parameter plant genome foundation model pretrained on 1,000 plant genomes using phylogeny-guided stagewise pretraining (PGSP). Training comprised 83 consecutive stages and produced 52 cumulative checkpoints associated with distinct plant orders. On GENEB, the stage 83 checkpoint ranked first among 46 models across 10 plant-related tasks, with a mean Matthews correlation coefficient (MCC) of 0.565, and fourth across all 100 tasks. Evaluation of 52 checkpoints on six plant lncRNA tasks identified different optimal stages under full-data, 10-shot and 1-shot settings, corresponding to stages 71, 72 and 29, respectively. Checkpoint performance varied across tasks, without consistent advantages for corresponding plant orders. These findings demonstrate the competitive performance of Creator 1.0 and highlight the potential of PGSP to provide task-adaptable checkpoints for plant genomic applications.

genomics↗

bioRxiv2026

PlantAI: A Multi-Agent System for Plant Functional Genomics Analysis and Biological Knowledge Interpretation

Plant functional genomics requires the integration of sequence, expression, evolutionary, regulatory and literature evidence. However, the corresponding analyses are often distributed across disparate programs, scripts and databases, creating substantial barriers to task organization and result interpretation. Here, we present PlantAI, a multi-agent system that integrates bioinformatics analysis, project-level process tracking and knowledge-assisted interpretation. A Main Agent coordinates two complementary routes: an analysis route that invokes bioinformatics tools for RNA-seq and gene-family analyses, and a knowledge route that uses PlantAI-RAG for knowledge retrieval and evidence synthesis. PlantAI-RAG currently contains 31,207 plant-science literature records, comprising approximately 3.82 million normalized entities and 8.25 million literature-supported relation assertions. In an evaluation using plant-science questions, it achieved a Gold evidence-assertion recall of 86.7%, while strict accuracy ranged from 77% to 82% across three independent evaluator models. We further demonstrate an end-to-end task using 24 rice RNA-seq libraries collected under salt stress, spanning transcriptome analysis, candidate-family screening, HXK/HKL family analysis and knowledge-assisted interpretation, and prioritize OsHXK8 for experimental validation. By preserving analysis artifacts, run manifests, logs and environment records, PlantAI supports result verification and repeat execution while linking project-derived results to traceable literature evidence. Together, these capabilities provide an integrated and auditable framework to support plant functional genomics research.

bioinformatics↗

bioRxiv2026

Prediction of Q-CHAT scores based on Functional Connectivity in Healthy Newborns

Neonatal resting-state functional connectivity may provide early markers of later variation in Q-CHAT scores, measured dimensionally within a non-clinical population, but the large-scale systems carrying the most robust predictive signal remain unclear. Using resting-state fMRI data from 397 infants in the Developing Human Connectome Project (277 term-born, 120 preterm-born), we applied a stability-driven, ROI-constrained connectome-based predictive modeling framework to predict 18-month Quantitative Checklist for Autism in Toddlers (Q-CHAT) scores. Significant prediction was observed in the whole cohort and in term-born infants, but did not reach statistical significance in the preterm-only group. Across the statistically significant models (whole cohort and term-born infants), the most prominent hubs were located in occipital and adjacent cortical regions, including the middle occipital gyrus, lingual gyrus, calcarine gyrus, and rolandic operculum. At the network level, the strongest predictive connections linked visual and visual-association systems with auditory networks, with additional contributions from medial motor, temporoparietal, and prefrontal systems. These findings suggest that later variation in Q-CHAT scores, is associated with neonatal large-scale functional organization, particularly in sensory and multisensory pathways.

neuroscience↗

bioRxiv2026

OryzaG3: A Single-species Genomic Foundation Model Pretrained on Rice Pangenome

While multi-species genomic language models have advanced biological representation learning, high-quality, single-species foundation models for crops remain scarce. Leveraging recently expanded rice pangenome resources, we introduce OryzaG3, a species-specific DNA language model with 700M parameters. OryzaG3 was pretrained on 59.20 Gb of chromosome-level sequences from 149 high-quality rice genomes using a non-overlapping 3-mer tokenization strategy and a causal language modeling objective, featuring context-length variants up to 32k tokens. On the Plants Genomic Benchmark polyA prediction task, OryzaG3 achieves competitive predictive performance against leading multi-species models while delivering a four-fold increase in inference throughput under identical long-context conditions. Ultimately, OryzaG3 demonstrates that lightweight, single-species foundation models trained on high-quality pangenomes can match multi-species benchmarks while significantly reducing computational overhead. This work provides a scalable framework for rice functional genomics, molecular breeding, and targeted crop foundation model development.

bioinformatics↗

bioRxiv2026

Neonatal Resting-State Functional Connectivity Predicts Socioemotional and Behavioral Outcomes at 18 Months

Early behavioral and temperamental differences are important indicators of later socioemotional development and psychopathology risk, yet their neural bases near birth remain incompletely understood. Using resting-state fMRI data from the Developing Human Connectome Project, we examined whether neonatal functional connectivity predicts 18-month behavioral and temperament outcomes in 397 infants (277 term-born, 120 preterm-born). Outcomes were assessed using the Child Behavior Checklist (CBCL) and the Early Childhood Behavior Questionnaire (ECBQ). We applied a stability-driven, ROI-constrained connectome-based predictive modeling framework to identify robust whole-brain connectivity features associated with measures of externalizing, internalizing, surgency, negative affect, and effortful control at 18 months. Statistically significant predictive models were observed for multiple outcomes across the whole cohort as well as within term-born and preterm-born groups, with clear differences in brain networks between cohorts. Across analyses, prefrontal and temporoparietal regions were repeatedly implicated, alongside medial temporal, fusiform, parahippocampal, and orbitofrontal-related regions. These findings indicate that large-scale neonatal functional organization is meaningfully associated to later socioemotional and behavioral differences, and that preterm birth is associated with differences in which brain networks are associated with later behaviour.

neuroscience↗

bioRxiv2026

Neonatal sensory networks at birth predict cognitive, language, and motor outcomes at 18 months

The relationship between neonatal brain activity patterns and later cognitive development has become a central topic in developmental neuroscience. Addressing this question requires whole-brain analytical approaches capable of identifying which large-scale functional systems carry stable and generalizable predictive signals. However, most existing studies remain focused on specific brain regions or localized functional circuits, such as thalamocortical pathways and amygdala-centered emotional networks. While these region-specific investigations have provided important insights, they are inherently limited in terms of robustness and cross-sample generalizability. As a result, systematic evidence identifying which large-scale functional systems reliably support stable and generalizable predictive signals remains scarce. Overcoming the methodological constraints of conventional whole-brain analytical paradigms has therefore become a key bottleneck in advancing our understanding of how early brain activity patterns relate to subsequent cognitive development. Here, using data from 402 infants in the developing Human Connectome Project (278 term-born; 124 preterm-born), we introduce a region-of-interest (ROI)-constrained variant of Connectome-Based Predictive Modeling (CPM) that incorporates ROI-degree-guided feature selection to predict 18-month Bayley-III cognitive, language, and motor outcomes. Model performance declined as progressively lower-degree regions were included, indicating that conventional whole-connectome CPM may obscure robust predictive signals by incorporating low signal-to-noise (SNR) features. Our models robustly predicted cognitive, language, and motor outcomes at 18 months of age. Cohort-specific connectivity patterns emerged. In term-born infants, dominant predictive features were concentrated in visual-auditory interactions, as well as connections between visual and auditory networks and other cortical regions. Interhemispheric and intrahemispheric connections contributed in roughly equal proportions. In contrast, among preterm infants, predictive features were primarily concentrated in connectivity involving auditory and temporoparietal networks, with interhemispheric connections comprising approximately twice the number of intrahemispheric connections. The whole-cohort model (term + preterm) reflected the combined contributions of both term- and preterm-associated connectivity patterns. Predictions generalized across Bayley composite and subscale scores and were supported by permutation testing and held-out validation. These findings identify early sensory hubs--particularly visual and auditory regions--as promising early biomarkers for later neurodevelopmental outcomes. Furthermore, they demonstrate that ROI-constrained CPM can reveal meaningful predictive signals that may be obscured by conventional connectome-wide approaches.

neuroscience↗

bioRxiv2026

Influenza A virus membrane fusion is regulated by the balance between receptor binding and cleavage

Interactions between influenza A virus (IAV) and its host receptor, sialic acid, influence multiple stages of infection through the opposing activities of hemagglutinin (HA) and neuraminidase (NA). Multivalent HA binding to low-affinity receptors generates high avidity and attachment specificity, while NA-mediated receptor cleavage promotes penetration through sialylated respiratory mucus and progeny virion release. The role of receptor interactions in post-attachment entry, particularly during genome delivery through HA-mediated endosomal membrane fusion, remains unresolved due to conflicting data, limited control of receptor conditions, and difficulty separating attachment from fusion at low efficiency. Here, we address this question using a flow-cytometry based assay that quantifies time-resolved lipid mixing in hundreds of individual virion-membrane pairs per second, combined with programmable control of receptor density and chemistry on target membranes. We show that HA-receptor interactions regulate membrane fusion efficiency by promoting productive fusion-peptide insertion by HA. This effect depends on receptor context: within a defined regime, lipid-mixing efficiency increases with receptor density whereas NA activity reduces it by depleting receptors. Receptor type and HA-receptor binding avidity further modulate lipid-mixing outcomes, establishing a direct link between HA-receptor interactions and fusion efficiency. Together, these results identify receptor binding as an active regulator of membrane fusion and provide a framework that reconciles prior conflicting observations. More broadly, they extend the functional interplay between HA and NA to the level of membrane fusion, with implications for viral adaptation and host specificity. Significance StatementWe resolve a long-standing question by showing that host receptor binding by HA and cleavage by NA regulate influenza A virus membrane fusion, the entry step delivering the viral genome into the cell. HA-receptor engagement promotes productive HA membrane insertion, leading to fusion. Receptor density, HA-receptor affinity, and NA catalytic activity tune fusion outcomes. These results were enabled by two methodological advances: precise control of receptor presentation on target membranes and sensitive measurement of attachment and membrane fusion at the single-virion level. By defining how the opposing activities of HA and NA regulate fusion, this study extends their functional interplay to a key step in entry and provides new insight into how these proteins coevolve during viral adaptation.

microbiology↗

bioRxiv2025

TMPO promotes cellular dissemination and metastasis in circulating tumor cells

Metastasis--the process by which cancer cells spread beyond the primary tumor to distant organs--accounts for the vast majority of cancer-related deaths. To elucidate mechanisms underlying dissemination and metastasis in prostate cancer, we have investigated circulating tumor cells (CTCs) obtained from genetically engineered mouse models (GEMMs). The phenotypic and molecular properties of the CTCs, and organoids derived from these CTCs, closely model the tumor and metastatic phenotypes of their parental GEMMs. Moreover, organoids derived from individual CTCs exhibit molecular and morphological heterogeneity that is associated with distinct metabolic states as well as differences in human prostate cancer outcome. Using computational systems analyses, we have identified TMPO, encoding the nuclear membrane protein lamina-associated polypeptide 2 (Lap2), as a key driver of this heterogeneity. TMPO activity is upregulated in advanced human prostate tumors, metastases, and CTCs, and is associated with adverse clinical outcome. Our findings indicate that TMPO promotes dissemination and metastasis in vivo by enhancing survival in conditions of metabolic stress, and reveal a novel mechanistic link between CTC heterogeneity, stress adaptation, and metastatic potential.

cell biology↗

bioRxiv2025

Transcriptomic Profiling Reveals Key Molecular Events and Pathways Driving Acquired Chemotherapy Resistance in Relapsed Acute Myeloid Leukemia

BackgroundAcute myeloid leukemia (AML) is a highly heterogeneous hematologic malignancy. Although induction therapy induces remission in many patients, relapse and acquired chemoresistance remain the major causes of treatment failure. Defining the molecular mechanisms underlying relapse is essential for improving therapeutic strategies. MethodsBone marrow samples from nine AML patients were analyzed, including five newly diagnosed cases and four relapsed cases after chemotherapy. Transcriptome sequencing and integrative bioinformatics analyses were performed, including differential expression analysis, GO/KEGG enrichment, GSEA, and protein-protein interaction (PPI) network analysis, to delineate relapse-associated molecular alterations. ResultsPrincipal component analysis demonstrated clear transcriptional segregation between primary and relapsed AML, indicating extensive molecular reprogramming during relapse. A total of 2,025 differentially expressed genes were identified, enriched in pathways related to epithelial-mesenchymal transition-like programs, leukemia stem cell maintenance, apoptosis evasion, and bone marrow microenvironment remodeling. Marked upregulation of FOXC1, HOXA11/HOXA11-AS, and AXL suggests key roles in sustaining stemness and promoting drug resistance. GO/KEGG analysis revealed coordinated activation of small GTPase, Rho/Ras signaling, ion transport, and epigenetic regulatory pathways, reflecting multilayered adaptive responses. GSEA indicated metabolic-epigenetic reprogramming in relapsed AML, while primary AML showed enrichment of energy metabolism and chromatin assembly pathways. PPI network analysis highlighted a central inflammation-metabolism axis involving TP53, IL6, CXCL8, and CCL2, associated with apoptosis resistance and metabolic adaptation. ConclusionsRelapsed AML is characterized by transcriptional reprogramming, metabolic remodeling, and microenvironment-driven adaptive resistance. Targeting small GTPase signaling, AXL, or IL6-related inflammatory pathways, alone or combined with epigenetic modulators, may offer promising therapeutic strategies to overcome chemoresistance in AML.

cell biology↗

bioRxiv2025

Probiotic-conditioned microbiota from preterm infants modulate immune response to pathogen challenge in a humanized mouse model

AbstractEarly-life host-microbe interactions critically shape immune development, lifelong homeostasis, and disease susceptibility. The PRIMAL trial (Priming Immunity at the Beginning of Life) demonstrated that multistrain probiotics shifted the gut microbiota of very preterm infants toward eubiosis without affecting sepsis incidence, yet the immunological consequences remained unresolved. To explore this, we colonized germ-free female mice with fecal samples from probiotic- or placebo-treated preterm infants from the PRIMAL trial. Microbiota composition was vertically transmitted and stable across generations. At steady-state, 3-week-old pups colonized with probiotic-conditioned microbiota exhibited markedly reduced populations of innate immune cells, particularly in the colon, with subtler effects in the small intestine and spleen, while adaptive immune subsets were less affected. Upon enteropathogenic Escherichia coli challenge at day 5, pups harboring probiotic-conditioned microbiota displayed reduced growth and impaired bacterial clearance, correlating with diminished numbers of key innate immune cell populations. These findings demonstrate that probiotic-driven shifts in human-derived microbial communities can attenuate immune cell development in mice and alter early-life infection outcomes. Our study underscores the complex, context-dependent effects of probiotics on the neonatal microbiota-immune axis and provides mechanistic insight into how interventions in preterm infants may influence susceptibility to infection.

immunology↗

bioRxiv2025

Bio-synthesis of 15N-Labeled G-Quadruplexes to Investigate the Structure and Interactions in the Cell Lysate using Nuclear Magnetic Resonance

G-quadruplexes (G4) play key roles in biology, making it critical to understand their structure and ligand-binding behavior in cellular environments for advancing G4-targeted therapeutics. While in-cell nuclear magnetic resonance (NMR) is a powerful technique for studying G4 in situ, its application is limited by the challenge of producing isotope-labeled single-stranded DNA (ssDNA). Here, we introduce Restriction Endonuclease Digestion (RED), a simple and cost-effective method to generate 15N-labeled ssDNA. This approach combines molecular cloning and enzymatic design processing by propagating plasmids in E. coli cultured with 15NH4Cl, followed by double restriction digestion and isolation target 15N-ssDNA. Using RED, we produced milligram-scale quantities of 96%-enriched 15N-labeled human telomeric G4 ssDNA (wtTel23c, CTAGGG(TTAGGG)3), ideal for NMR analysis. The NMR spectra revealed that wtTel23c adopts G4 topology and undergoes multiple conformations of wtTel23c in potassium-containing solutions and in Xenopus laevis cell lysate. Interaction studies with the ligand TMPyP4 showed distinct binding profiles in cellular and dilute environments. In dilute solution, TMPyP4 binds to the top tetrad of wtTel23c, while it binds to the loop in cellular environments. The RED method offers an efficient strategy for producing stable isotope-labeled ssDNA, opening new avenues for studying G4 structures and their ligand interactions in complex biological contexts.

biochemistry↗

bioRxiv2025

A multi-institutional investigation of psilocybin's effects on mouse behavior

Studies reporting novel therapeutic effects of psychedelic drugs are rapidly emerging. However, the reproducibility and reliability of these findings could remain uncertain for years. Here, we implemented a multi-institutional collaborative approach to define the robust and replicable effects of the psychedelic drug psilocybin on mouse behavior. Five laboratories performed the same experiments to test the acute and persistent effects of psilocybin (2 mg/kg, IP) on various behaviors that psychedelics have been proposed to affect, including anxiety-related approach-avoidance, exploration, sociability, depression-related behaviors, fear extinction, and social reward learning. Through this coordinated approach, we found that psilocybin had several robust and replicable acute effects on mouse behavior, including increased anxiety- and avoidance-related behaviors and decreased fear expression. Surprisingly, however, we found that psilocybin did not have replicable effects 24 hours post psilocybin administration on reducing anxiety- and depression-like behaviors or facilitating fear extinction learning. Additionally, we were unable to observe psilocybin-induced alterations in social preference or social reward learning. Overall, our comprehensive characterization of psilocybins acute and persistent behavioral effects using [~]200 total male and female mice per experiment spread across five independent labs demonstrates with unique certainty several acute drug effects and suggests that psilocybins persistent effects in mice may be more modest and inconsistent than previously suggested. We believe this unusual multi-laboratory, highly coordinated research effort serves as a model for facilitating the generation of replicable results and consequently will reduce efforts based on unreliable and spurious results.

neuroscience↗

bioRxiv2025

TMK interacting network of receptor like kinases for auxin canalization and beyond

Receptor-like kinases (RLKs), particularly the Transmembrane Kinase (TMK) family, play essential roles in signaling and development, with TMKs being key components of auxin perception and downstream phosphorylation events. While TMKs involvement in auxin canalization, a process essential for vasculature formation and regeneration, has been established, nonetheless, the additional signaling and regulatory partners remain poorly understood. In this study, we identify and characterize seven leucine-rich repeat RLKs (TINT1-TINT7) as novel interactors of TMK1, revealing their diverse evolutionary, structural, and functional characteristics. Our results show that TINTs interact with TMK1 and highlight their roles in regulating various developmental processes. Majority of TINTs contributes, together with TMK1, to auxin canalization, with TINT5 linking TMK1 to other canalization component CAMEL. Beyond canalization, we also establish the role of TINT-TMK1 interactions in processes such as stomatal movement and the hypocotyls gravitropic response. These findings suggest that TINTs, through their interaction with TMK1, are integral components of various signaling networks, contributing to both auxin canalization and broader plant development.

plant biology↗

bioRxiv2025

Armadillo Repeat Only Proteins Are Crucial for the Function of Plant CNGC Channels

The versatile Ca2+ signaling system governs plant responses to a wide array of environmental and developmental cues. CYCLIC NUCLEOTIDE-GATED CHANNELS (CNGCs) trigger cellular responses to diverse signals, including phytohormones, biotic and abiotic stresses; and as such their activity is tightly controlled. Unlike their animal paralogs, plant CNGCs does not seem to be gated by cyclic nucleotides, and the mechanism of their activation remains unresolved. Here we report ARMADILLO REPEAT ONLY (ARO) proteins as novel, plant-specific, and essential activators of plant CNGCs. Reciprocal proximity labeling revealed interactions between all sporophytic CNGCs and AROs. Loss-of-function aro mutants fail to induce Ca2+ transients in response to known CNGC-triggering stimuli. Structural modeling, mutational analysis, and electrophysiological data show that AROs assemble into a complex with CNGC tetramers by interaction with the conserved Calmodulin-binding IQ domain. AROs represent CNGC activators, competing with Calmodulins, showcasing an evolutionarily unique solution to regulation of calcium signaling in plants.

plant biology↗

bioRxiv2024

PlantRing: A high-throughput wearable sensor system for decoding plant growth, water relations and innovating irrigation

The combination of flexible electronics and plant science has generated various plant-wearable sensors, yet challenges persist in their applications in real-world agriculture, particularly in high-throughput settings. Overcoming the trade-off between sensing sensitivity and range, adapting them to a wide range of crop types, and bridging the gap between sensor measurements and biological understandings remain the primary obstacles. Here we introduce PlantRing, an innovative, nano-flexible sensing system designed to address the aforementioned challenges. PlantRing employs bio-sourced carbonized silk georgette as the strain sensing material, offering exceptional resolution (tensile deformation: < 100 m), stretchability (tensile strain up to 100 %), and remarkable durability (season long), exceeding existing plant strain sensors. PlantRing effectively monitors plant growth and water status, by measuring organ circumference dynamics, performing reliably under harsh conditions and being adaptable to a wide range of plants. Applying PlantRing to study fruit cracking in tomato and watermelon reveals novel hydraulic mechanism, characterized by genotype-specific excess sap flow within the plant to fruiting branches. Its high-throughput application enabled large-scale quantification of stomatal sensitivity to soil drought, a traditionally difficult-to-phenotype trait, facilitating drought tolerant germplasm selection. Combing PlantRing with soybean mutant led to the discovery of a potential novel function of the GmLNK2 circadian clock gene in stomatal regulation. More practically, integrating PlantRing into feedback irrigation achieves simultaneous water conservation and quality improvement, signifying a paradigm shift from experience- or environment-based to plant-based feedback control. Collectively, PlantRing represents a groundbreaking tool ready to revolutionize botanical studies, agriculture, and forestry.

plant biology↗

bioRxiv2024

A forward genetic screen identifies Sirtuin1 as a driver of neuroendocrine prostate cancer

Although localized prostate cancer is relatively indolent, advanced prostate cancer manifests with aggressive and often lethal variants, including neuroendocrine prostate cancer (NEPC). To identify drivers of aggressive prostate cancer, we leveraged Sleeping Beauty (SB) transposon mutagenesis in a mouse model based on prostate-specific loss-of-function of Pten and Tp53. Compared with control mice, SB mice developed more aggressive prostate tumors, with increased incidence of metastasis. Notably, a significant percentage of the SB prostate tumors display NEPC phenotypes, and the transcriptomic features of these SB mouse tumors recapitulated those of human NEPC. We identified common SB transposon insertion sites (CIS) and prioritized associated CIS-genes differentially expressed in NEPC versus non-NEPC SB tumors. Integrated analysis of CIS-genes encoding for proteins representing upstream, post-translational modulators of master regulators controlling the transcriptional state of SB-mouse and human NEPC tumors identified sirtuin 1 (Sirt1) as a candidate mechanistic determinant of NEPC. Gain-of-function studies in human prostate cancer cell lines confirmed that SIRT1 promotes NEPC, while its loss-of-function or pharmacological inhibition abrogates NEPC. This integrative analysis is generalizable and can be used to identify novel cancer drivers for other malignancies. SummaryUsing an unbiased forward mutagenesis screen in an autochthonous mouse model, we have investigated mechanistic determinants of aggressive prostate cancer. SIRT1 emerged as a key regulator of neuroendocrine prostate cancer differentiation and a potential target for therapeutic intervention.

cancer biology↗

bioRxiv2024

The Unexpected Membrane Targeting of Marchantia Short PIN Auxin Exporters Illuminates Sequence Determinants and Evolutionary Significance

The plant hormone auxin and its directional transport are crucial for growth and development. PIN auxin transporters, on account of their polarized distribution, are instrumental in guiding auxin flow across tissues. Based on protein length and subcellular localization, the PIN family is classified into two groups: plasma membrane (PM)-localized long PINs and endoplasmic reticulum (ER)-localized short PINs. The origin of PINs was traced to the alga Klebsormidium, with a single PM-localized long KfPIN. Bryophytes, the earliest land plant clade, represent the initial clade harboring the short PINs. We tracked the evolutionary trajectory of the short PINs and explored their function and localization in the model bryophyte Marchantia polymorpha, which carries four short and one long PIN. Our findings reveal that all short MpPINs can export auxin, and they are all PM-localized with MpPINX and MpPINW exhibiting asymmetric distribution. We identified a unique miniW domain within the MpPINW hydrophilic loop region, which is sufficient for its PM localization. Phosphorylation site mutations within the miniW domain abolish the PM localization. These findings not only identify the essential sequence determinant of PINs PM localization but also provide a unique insight into the evolution of ER-localized PINs. Short MpPINW, which is evolutionarily positioned between the ancestral long PINs and contemporary short PINs, still preserves the critical region essential for its PM localization. We propose that throughout land plant evolution, the unique miniW domain has been gradually lost thus converting the PM-localized short PINs in bryophytes to ER-localized short PINs in angiosperms. IMPORTANTO_LIManuscripts submitted to Review Commons are peer reviewed in a journal-agnostic way. C_LIO_LIUpon transfer of the peer reviewed preprint to a journal, the referee reports will be available in full to the handling editor. C_LIO_LIThe identity of the referees will NOT be communicated to the authors unless the reviewers choose to sign their report. C_LIO_LIThe identity of the referee will be confidentially disclosed to any affiliate journals to which the manuscript is transferred. C_LI GUIDELINESO_LIFor reviewers: https://www.reviewcommons.org/reviewers C_LIO_LIFor authors: https://www.reviewcommons.org/authors C_LI CONTACTThe Review Commons office can be contacted directly at: office@reviewcommons.org

plant biology↗

bioRxiv2023

NSD2 maintains lineage plasticity and castration-resistance in neuroendocrine prostate cancer

The clinical use of potent androgen receptor (AR) inhibitors has promoted the emergence of novel subtypes of metastatic castration-resistant prostate cancer (mCRPC), including neuroendocrine prostate cancer (CRPC-NE), which is highly aggressive and lethal1. These mCRPC subtypes display increased lineage plasticity and often lack AR expression2-5. Here we show that neuroendocrine differentiation and castration-resistance in CRPC-NE are maintained by the activity of Nuclear Receptor Binding SET Domain Protein 2 (NSD2)6, which catalyzes histone H3 lysine 36 dimethylation (H3K36me2). We find that organoid lines established from genetically-engineered mice7 recapitulate key features of human CRPC-NE, and can display transdifferentiation to neuroendocrine states in culture. CRPC-NE organoids express elevated levels of NSD2 and H3K36me2 marks, but relatively low levels of H3K27me3, consistent with antagonism of EZH2 activity by H3K36me2. Human CRPC-NE but not primary NEPC tumors expresses high levels of NSD2, consistent with a key role for NSD2 in lineage plasticity, and high NSD2 expression in mCRPC correlates with poor survival outcomes. Notably, CRISPR/Cas9 targeting of NSD2 or expression of a dominant-negative oncohistone H3.3K36M mutant results in loss of neuroendocrine phenotypes and restores responsiveness to the AR inhibitor enzalutamide in mouse and human CRPC-NE organoids and grafts. Our findings indicate that NSD2 inhibition can reverse lineage plasticity and castration-resistance, and provide a potential new therapeutic target for CRPC-NE.

cancer biology↗