Biology subjects

Xie, Y.

Publications and source records attributed to Xie, Y..

At least 109 records · Page 6Linked to original sources

bioRxiv2025

Development of a replication-defective MPXV platform for fundamental and therapeutic research

The recent global outbreaks of mpox highlight the urgent need for both fundamental research and antiviral development. However, studying monkeypox virus (MPXV), with its large and complex genome, remains challenging due to the requirement for high-containment facilities. Here, we describe a novel strategy for de novo assembly of MPXV clade IIb genomes in bacterial artificial chromosomes using transformation-associated recombination cloning. Leveraging CRISPR-Cas9 and Lambda Red recombination, we engineered replication-defective MPXV particles with dual deletions of OPG96 (M2R) and OPG158 (A32.5L)--genes essential for virion assembly, that are capable of recapitulating key stages of the viral life cycle. Our work demonstrates the utility of replication-defective MPXV particles as a reliable platform for high-throughput antiviral discovery, offering significant advantages for both fundamental virology studies and therapeutic development against orthopoxviruses.

microbiology↗

bioRxiv2025

Epigenetic Subtypes of High-Grade T1 Bladder Cancer Reveal Intra-Tumor Heterogeneity and Distinct Interactions with Tumor Microenvironment.

High-Grade T1 (HGT1) Non-Muscle Invasive Bladder Cancer (NMIBC) is a clinically heterogeneous disease, characterized by unpredictable treatment responses and limited tools for recurrence prediction. Although molecular classification efforts have been made, patient stratification still primarily relies on clinicopathological features, which offer limited clinical precision. In this study, we integrated chromatin profiling in bulk with single-nuclei(sn) RNA-seq, immunohistochemistry and spatial transcriptomics to define epigenetic subtypes of HGT1, characterize their heterogeneity, and investigate tumor-microenvironment interactions. Our findings reveal distinct chromatin profiles differentiating urothelial (URO) and micropapillary (MP) histological variants of high-risk HGT1. We identified three epigenetic states: two within the URO group, luminal-like inflammatory (LLI) and basal-like (BL), and a separate signature unique to MP tumors. Single-cell and spatial resolution approaches validated intratumoral heterogeneity and provided insight into subtype-specific microenvironmental contexts. Notably, [~]40% of URO tumors exhibited spatially distinct coexisting LLI and BL components. BL regions showed enrichment for angiogenesis and hypoxia pathways and were preferentially located near vascular stroma, while LLI regions showed to be located at the core of the tumor. MP tumors featured a markedly different microenvironment, characterized by diverse populations of cancer-associated fibroblasts (CAFs) and M2-polarized macrophages intermingled with tumor cells, suggesting a more immunosuppressive niche which could account for their worse clinical outcome. URO tumors, by comparison, showed a more immune-excluded phenotype. These findings provide a detailed molecular and spatial map of bladder cancer heterogeneity, highlighting how distinct epigenetic subtypes and histological variants are associated with tumor architecture and microenvironmental interactions. Our data underscore the need for subtype-specific therapeutic strategies to more effectively address the complexity already existing at HGT1 bladder cancer.

cancer biology↗

bioRxiv2025

Cell-free RNA reveals host and microbial correlates of broadly neutralizing antibody development against HIV

A small number of people living with HIV (PLWH) develop broadly neutralizing antibodies (bNAbs) targeting multiple HIV strains. Although several viral and immune factors contribute to bNAb development, the genetic and environmental factors driving this response remain largely unknown. We performed combined cell-free DNA (cfDNA) and cell-free RNA (cfRNA) sequencing in 42 plasma samples from a longitudinal cohort of 14 PLWH (7 who develop bNAbs and 7 matched controls). This approach enabled us to non-invasively monitor the host transcriptome, viral genetic variation, and microbiome composition during HIV infection, and to identify molecular correlates of bNAb development. We find that development of bNAbs is associated with a transcriptomic signature of early immune activation characterized by elevated levels of MHC class I antigen presentation genes. This signature is independent of viral load or CD4 count and declines over time. In addition to host features, we recovered sufficient viral reads to reconstruct HIV consensus sequences, supporting the utility of cfRNA for viral genotyping. Finally, we also identified an enrichment of several microbial taxa in bNAb producers and increased levels of GB virus C (GBV-C), a non-pathogenic lymphotropic virus. Our findings suggest a distinct early immune activation profile in PLWH who develop bNAbs. More broadly, we show that combined cfDNA/cfRNA sequencing can reveal relationships between a protective immunogenic response to HIV infection, the host immune system, and microbiome, highlighting its potential for biomarker discovery in future vaccine and therapeutic studies. Author SummaryA subset of people living with HIV develop broadly neutralizing antibodies (bNAbs), a phenomenon that remains poorly understood but relevant to vaccine development. We applied combined cell-free RNA and DNA sequencing to 42 longitudinal plasma samples (7 bNAb producers, 7 controls) to monitor the host transcriptome, viral variation, and microbiome composition during bNAb development. Early in infection, bNAb producers showed an MHC class I-linked immune activation signature that declined over time, alongside changes in commensal microbial sequences and increased levels of GB virus C in cfRNA. These findings support the use of cfDNA/cfRNA sequencing for biomarker discovery in HIV research.

genomics↗

bioRxiv2025

Adolescent alcohol consumption alters sex-specific behaviors associated with prefrontal functional connectivity in mice

The prefrontal cortex (PFC) is one of the last brain regions to fully mature, making it particularly sensitive to drug use early in life. Both human and rodent studies find long-lasting behavioral changes after adolescent alcohol exposure that implicate underlying disruptions in PFC development, including structural abnormalities and altered brain functional connectivity. Few rodent studies have been conducted to understand the network-level implications of these disruptions. We assessed how adolescent binge-like alcohol consumption in a drinking in the dark (DID) model affected adult alcohol consumption, behavioral exploration, and brain-wide functional connectivity in mice. Approximately one month after the conclusion of DID, only female mice exposed to alcohol during adolescence exhibited aversion-resistant alcohol preference in adulthood. Adult females exhibited additional sex-specific changes in exploratory behavior in the elevated plus maze after adolescent alcohol consumption. Resting state neuroimaging revealed sex-specific changes in prefrontal cortical connections with sensory motor, hippocampal, striatal, and other networks, providing insights into the putative systems underlying deficits caused by adolescent alcohol exposure. Critically, our data corroborate a growing body of literature in human and rodent studies demonstrating that adolescent alcohol use may increase risk for adult alcohol use more strongly in females. Finally, we identify neural correlates of this effect that include both known and novel neural networks and tie these back to human datasets, allowing biological and mechanistic targets to be further explored for future study and interventions.

neuroscience↗

bioRxiv2025

Convergent and divergent brain-cognition relationships during development revealed by cross-sectional and longitudinal analyses in the ABCD Study

How brain networks and cognition co-evolve during development remains poorly understood. Here, we use resting-state functional magnetic resonance imaging (rs-fMRI) and cognitive data at baseline and Year 2 of 2,949 individuals in the Adolescent Brain Cognitive Development (ABCD) Study to examine how stable and changing features of brain network organization predict cognitive development during early adolescence. We find that baseline resting-state functional connectivity (FC) more strongly predicts future cognitive ability than baseline cognitive ability. Models trained on baseline FC to predict baseline cognition generalize better to Year 2 FC and cognition, suggesting that brain-cognition relationships strengthen over time. Intriguingly, baseline FC outperforms longitudinal FC change in predicting future cognitive ability. One potential reason is the lower reliability of FC change compared to baseline FC: ICC = 0.24 vs. 0.56. However, reducing baseline FCs reliability by shortening scan duration only partially narrows the predictive gap, suggesting reliability alone cannot be the full explanation. Furthermore, neither baseline FC nor FC change meaningfully predicts longitudinal change in cognitive ability. We also identify converging and diverging predictive network features across cross-sectional and longitudinal models of brain-cognition relationships, revealing a multivariate twist on Simpsons paradox. Together, these findings suggest that during early adolescence, stable individual differences in brain functional network organization play a more critical role than dynamic changes in shaping future cognitive outcomes.

neuroscience↗

bioRxiv2025

A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making

Brains excel at robust decision-making and data-efficient learning. Understanding the architectures and dynamics underlying these capabilities can inform inductive biases for deep learning. We present a multi-region brain model that explores the normative role of structured memory circuits in a spatially embedded binary decision-making task from neuroscience. We counterfactually compare the learning performance and neural representations of reinforcement learning (RL) agents with brain models of different interaction architectures between grid and place cells in the entorhinal cortex and hippocampus, coupled with an action-selection cortical recurrent neural network. We demonstrate that a specific architecture- where grid cells receive and jointly encode self-movement velocity signals and decision evidence increments-optimizes learning efficiency while best reproducing experimental observations relative to alternative architectures. Our findings thus suggest brain-inspired structured architectures for efficient RL. Importantly, the models make novel, testable predictions about organization and information flow within the entorhinal-hippocampal-neocortical circuit: we predict that grid cells must conjunctively encode position and evidence for effective spatial decision-making, directly motivating new neurophysiological experiments.*

neuroscience↗

bioRxiv2025

Single-cell analyses reveal scyphozoan conserved and specific genes contribution during tissue regeneration in two jellyfish

The phylum Cnidaria is the outgroup of Bilateria and includes sea anemones, corals, hydroids, and jellyfish. Cnidarians play crucial ecological roles in marine ecosystems, including the formation of highly diverse and productive coral reefs, and acting as important predator and prey species. Cnidarians are also well known for their remarkable regeneration capacities. Here, we report single-cell RNA sequencing during bell regeneration in two species of scyphozoans or true jellyfish, Aurelia coerulea and Rhopilema esculentum. We delineated 12 cell populations in Aurelia and Rhopilema, and revealed their respective marker genes and enriched gene pathways. Conserved transcription factor Otx and Wnt/ {beta}-catenin signalling pathway genes were identified during regeneration processes. Additionally, we discovered two conserved, sequentially activated modules during regeneration, with stem cells, gastrodermal cells, neural cells, and secretory gland cells modulated in the first phase, followed by cnidocytes in the second phase. Further comparison among cnidarian genomes identified a suite of scyphozoan lineage-specific genes, a subset of which were frequently significantly expressed in cnidocytes in both jellyfish species during the first phase of regeneration. This study reveals key insights into the evolution and contribution of conserved and novel genes to the formation of lineage-specific genetic networks and biological processes.

evolutionary biology↗

bioRxiv2025

Single cell resolution of an epigenetic signature of persister tumor cell

Cancer can recur when a subset of tumor cells, denoted here as persister cells, are able to survive therapy and re-enter the cell cycle. The precise mechanisms that confer the persister state and whether it is characteristic of a subgroup of cells or arises from multiple cellular lineages remain poorly understood. We hypothesize that an epigenetic signature underlies the drug-tolerant persister state, characterized by transcriptional and chromatin accessibility changes that promote survival of residual cancer following chemotherapy. To identify clinically relevant features of persister cells in untreated tumors and residual disease, we performed single-cell multiomic profiling (snRNA+snATAC) on a cohort of non-malignant fallopian tube, treatment-naive, and neoadjuvant chemotherapy (NACT)-treated high-grade serous ovarian cancer (HGSOC) samples. We identified differences in gene expression and open chromatin between naive and residual patient tumors following chemotherapy. Although only a small proportion of the differentially expressed genes enriched in residual HGSOC overlapped with established gene sets for chemo-response and patient prognosis, the epigenomic analysis revealed activity of several DNA-binding factors that are both enriched upon chemotherapy and also high in resistant tumors prior to treatment. From this analysis, we identified an epigenetic signature that precedes expression and defines the persister state. This epigenetic signature also correlated with chemotherapy sensitivity and resistance using patient-derived xenograft models of HGSOC. Gene regulatory networks driven by the persister signature are involved in the activation of oncogenic pathways, including changes to the cell cycle promoting quiescence and stress response. Further study of the persister cells identified by this epigenetic signature may increase understanding of the mechanisms underlying persister cell survival and reveal new vulnerabilities that could be exploited to delay or prevent cancer recurrence.

genomics↗

bioRxiv2025

Single and Multiple Buds Form characteristics in Amorphophallus muelleri

This study compared the physiological characteristics and transcriptomic profiles of single-budded and multi-budded corms, as well as developmental stages of foliar bulbils in Amorphophallus muelleri, to reveal regulatory mechanisms underlying bud development. Hormonal analysis showed that the IAA/CTK ratio was significantly higher in single-budded corms (1.9060 vs 1.5753), while multi-budded corms exhibited higher CTK (0.2766 g/g), BR (0.8692 p mol/g), and SLs (0.5090 ng/g) levels. During foliar bulbils development, ABA content peaked at 41.54 ng/g in the G2 stage, and sucrose reached maximum levels (6.86 mg/g) in the G1 stage. Transcriptomic sequencing identified 742 differentially expressed transcription factors, with over 80% of CRE1 and AHP genes in CTK signaling pathways significantly upregulated. KEGG pathway analysis highlighted starch/sucrose metabolism (215 DEGs) and plant hormone signal transduction (243 DEGs) as key regulatory networks. The study demonstrated that CTK signaling activation and carbohydrate metabolic reprogramming promoted multi-bud formation, while foliar bulbils development displayed stage-specific gene expression patterns, providing theoretical insights for improving konjac propagation coefficient.

physiology↗

bioRxiv2025

Distinct yet Overlapping Functions of VMP1 and TMEM41B in Modulating Hepatic Lipoprotein Secretion and Autophagy in MASH

BackgroundTransmembrane protein 41B (TMEM41B) and vacuolar membrane protein 1 (VMP1) are endoplasmic reticulum (ER) scramblases that shuttle phospholipids between the inner and outer leaflets of the ER membrane. Both TMEM41B and VMP1 also play critical roles in regulating hepatic lipoprotein secretion and autophagy. Despite these similarities, whether TMEM41B and VMP1 exhibit different roles in very low-density lipoprotein (VLDL) secretion and autophagy in the pathogenesis of metabolic-associated steatotic liver disease (MASLD) remains unclear. MethodsWe created liver- and hepatocyte-specific single knockout (KO) and double knockout (DKO) mice for Tmem41b and Vmp1, as well as overexpression knock-in (KI) mice with hepatic overexpression of TMEM41B, Tmem41b KO/Vmp1 KI, and Vmp1 KO/Tmem41b KI. We conducted lipidomic, metabolomic, biochemical, and functional studies in these mice, fed either a chow diet or a MASLD diet. ResultsTMEM41B protein levels were decreased in the livers of human subjects with MASLD. The loss of hepatic Tmem41b impaired VLDL secretion, resulting in steatosis, inflammation, and fibrosis. Vmp1 KO mice exhibited similar phenotypes to DKO mice, displaying a more severe defect in VLDL secretion and greater liver injury than Tmem41b KO mice. Lipidomic analysis revealed decreased levels of phosphatidylcholine and phosphatidylethanolamine, along with increased neutral lipids in both Tmem41b KO and Vmp1 KO mice; however, these changes were generally more pronounced in Vmp1 KO mice. VMP1 and TMEM41B localized at the mitochondrial-associated membrane (MAM), and a reduction in mitochondria-ER contact was observed in hepatocytes deficient in either VMP1 or TMEM41B. Ultrastructural electron microscopy analysis showed increased accumulation of "lipid droplet" in the ER membrane bilayer and ER lumen in both Vmp1 KO and Tmem41b KO hepatocytes, with greater ER luminal "lipid droplet" accumulation in Tmem41b KO hepatocytes. The loss of hepatic Vmp1 or Tmem41b led to elevated levels of LC3-II and p62, with significantly higher levels of both markers in Vmp1 KO and DKO mouse livers compared to Tmem41b KO mouse livers. Restoring Vmp1 in Tmem41b KO mice partially improved defective VLDL secretion; however, high expression levels of VMP1 did not correct the hepatic autophagy defect. In contrast, restoring Tmem41b in Vmp1 KO mice dose-dependently enhanced both defective VLDL secretion and autophagy. Importantly, overexpression of hepatic TMEM41B mitigated diet-induced MASLD in mice. ConclusionThe loss of hepatic Vmp1 or Tmem41b decreases hepatic MAM and phospholipid content, leading to decreased VLDL secretion and promoting MASLD. While VMP1 and TMEM41B have overlapping functions, VMP1 appears to play a more critical role in regulating VLDL secretion and autophagy in mouse livers than TMEM41B.

cell biology↗

bioRxiv2025

Immune phenotype-guided identification of disease-associated pathobionts in Crohn's disease

Aberrant immune activation within the gut mucosa and gut dysbiosis have been implicated in the pathogenesis of Crohns disease (CD). However, the specific immune responses triggered by dysbiotic microbiota, as well as the bacteria responsible for this activation, remain incompletely understood. Here, using the human microbiota-associated (HMA) mouse system, we demonstrated that colonization with dysbiotic gut microbiota from CD patients specifically induces the accumulation of mononuclear phagocytes, which may drive an interleukin-1 (IL-1)-driven inflammatory signature. Moreover, we identified pathobiont strains with a potent IL-1{beta}-inducing capacity, termed IL-1{beta}-inducing pathobionts (IBIP). Isolated IBIP strains exhibit genetic and functional similarities to adherent-invasive Escherichia coli but harbor unique virulence-associated genes. Colonization with the IBIP E. coli strain exacerbated experimental colitis in an IL-1 signal-dependent manner. Notably, the colonization of IBIP E. coli can be detected by measuring the levels of specific immunoglobulin A (IgA) in their stool samples. Moreover, the level of IBIP-reactive IgA in stool may serve as a predictive biomarker for treatment response to anti-TNF therapies in treatment-naive pediatric CD patients. Altogether, IBIP colonization could help identify CD patients with inflammatory dysbiosis who are likely to be refractory to anti-TNF therapies.

immunology↗

bioRxiv2025

PERADIGM: Phenotype Embedding Similarity-based Rare Disease Gene Mapping

Identifying genes associated with rare diseases remains challenging due to the scarcity of patients and the limited statistical power of traditional association methods. Here, we introduce PERADIGM (Phenotype Embedding similarity-based RAre DIsease Gene Mapping), a novel framework that leverages natural language processing techniques to integrate comprehensive phenotype information from electronic health records for rare disease gene discovery. PERADIGM employs an embedding model to capture relationships between ICD-10 codes, providing a nuanced representation of individual phenotypes. By utilizing patient similarity scores, it enhances the identification of candidate genes associated with disease-specific phenotypes, surpassing conventional methods that rely on binary disease status. We applied PERADIGM to the UK Biobank dataset for three rare diseases: autosomal dominant polycystic kidney disease (ADPKD), Marfan syndrome, and neurofibromatosis type 1 (NF1). PERADIGM identified additional candidate genes associated with ADPKD-related and Marfan syndrome-related phenotypes, some of which are supported by existing literature, and demonstrated enhanced signal detection for NF1-specific phenotypes beyond traditional methods. Our findings demonstrate the potential of PERADIGM to identify genes associated with rare diseases and related phenotypes by incorporating phenotype embeddings and patient similarity, providing a powerful tool for precision medicine and a deeper understanding of rare disease genetics and clinical manifestations.

genetics↗

bioRxiv2025

Attention Guided Mechanism Interpretable Drug-Gene Interaction (MIDI) Modeling for Cancer Drug Response Prediction and Target Effect Explanation

Cancer drug discovery using genetic information is still poorly developed. Precisely locating drug atoms and explaining the targeting effect is crucial in precision medicine since it helps understand the drugs mechanism of action. Much data has been collected regarding drug response against cancer cell lines, and many models predict the drug response based on genomic information. However, to our knowledge, none of the data-driven techniques propose to detect the targeting mechanism of small drug molecules against genetic targets. In this work, we propose MIDI (Mechanism Interpretable Drug-Gene Interaction) model to delve deep into the targeting relation between drug molecules against genetic patterns. We show that purely based on a data-driven approach, the attention mechanism in our model could capture the important binding effect of small molecules towards gene targets. We provide both theoretical derivation and experiment results to show the information flow regarding the attention mechanism. In the meantime, we demonstrate that our model presents much higher prediction performance with the interpretation mechanism than the other state-of-the-art drug response prediction models.

cancer biology↗

bioRxiv2025

Population activity of mossy fibre axon input to the cerebellar cortex during behaviours

The cerebellum gathers information from the neocortex via the cortico-ponto-cerebellar pathway, and forms sensorimotor associations for predicting movements and their sensory consequences. However, little is known about the functional properties of this major input to the cerebellar cortex. Recordings from individual cerebellar mossy fibre axons (MFAs) have shown that they convey sensory and motor information, but nothing is known about their population code. Here, we report that the population activity of pontine MFAs is heterogeneous, high-dimensional and that different subpopulations of MFAs are active during quiet and active behavioural states. Population activity occupied a substantial fraction of the state space and some MFAs are particularly informative about behaviour. Surprisingly, positively and negatively modulated MFAs are intermingled, suggesting granule cells integrate opposite-signed inputs to generate mixed bidirectional sensorimotor representations. Our results establish that neocortex and cerebellum can communicate with a low redundancy, high capacity, bidirectional population code, which is well-suited for forming sensorimotor associations. Highlights[bullet] Population activity of main mossy fibre axonal input to cerebellar cortex. [bullet]Ponto-cerebellar code is high dimensional during behaviours. [bullet]Behavioural information conveyed by bidirectional population code. [bullet]Modelling predicts heterogeneous response properties of granule cells.

neuroscience↗

bioRxiv2025

Synthetic derivatives of vinpocetine as antiproliferative agents

Vincamine is an indole alkaloid initially isolated from plants of the Vinca genus and has previously been demonstrated to have antioxidant, hypoglycemic, and hypolipidemic activities. Vinpocetine, a synthetic derivative of vincamine with an enhanced pharmacological profile, has demonstrated promising antiproliferative properties. While previously reported vinpocetine derivatives have undergone extensive investigation for their pharmacological properties, the role of the E-ring ethyl ester in the anticancer properties of compounds with this scaffold has not yet been fully described. Here, we report the antiproliferative activity of two vinpocetine analogs with modifications at the E-ring. MTT assays revealed that reduction of the ethyl ester to an alcohol exhibited strong dose-dependent antiproliferative activity across five mammalian cell lines, but did not induce significant markers of apoptosis or necrotic death as determined by FITC/Annexin V and cell cycle flow cytometry, respectively. We further observe that vinpocetine and both analogs exhibit dose-dependent modulation of a TCF/LEF reporter cell, which appears to be decoupled from trends in antiproliferative activity Altogether, this work demonstrates the potential for E-ring modifications of vinpocetine as anticancer agents.

cancer biology↗

bioRxiv2025

The TONSL-MMS22L complex and FANCM form an interdependent complex on chromatin to counter replication stress

FANCM is branchpoint DNA translocase essential for cellular response to replication stress. Here, we show that replication stress stimulates FANCM and the TONSL-MMS22L heterodimer bound to histones H3-H4 to form an interdependent complex on chromatin. TONSL-MMS22L recruits FANCM and Fanconi anemia (FA) core complex to stalled and collapsed forks, maintains FANCM on replication-stressed chromatin, promotes FANCD2 monoubiquitination, facilitates both repair and replication traverse of DNA interstrand crosslinks (ICLs), and suppresses sister chromatid exchanges, through its interactions with FANCM and H3-H4. Reciprocally, both DNA translocase activity and phosphorylation of FANCM facilitate recruitment of TONSL-MMS22L and RAD51 to perturbed forks. Moreover, TONSL-MMS22L and FANCM function together to promote activation of the FA pathway, ICL repair, homologous recombination and replication traverse. Cancer patients with tumors with wildtype FANCM and low expression of TONSL-MMS22L have a more favorable prognosis than those with high expression. Thus, FANCM-TONSL-MMS22L acts coordinately as a complex on chromatin that resolves replication stress, and this complex may present a therapeutic target for wildtype FANCM-linked cancer.

cell biology↗

bioRxiv2025

DORA AI Scientist: Multi-agent Virtual Research Team for Scientific Exploration Discovery and Automated Report Generation

Modern goal-oriented scientific research process involves hierarchical teams of researchers of diverse backgrounds performing generalist and domain-specific tasks. Many of these tasks include hypothesis generation, literature review, data collection, cleanup, processing and analysis, experimental design, virtual and physical experiments, research report and academic paper writing, reference management, bibliography and quality control. Most of these tasks can be performed automatically or in a co-pilot mode by the generative reinforcement learning systems. In this paper, we introduce a versatile multi-agent scientific exploration and draft outline research assistant (DORA), which provides multiple templates and workflows for automated or semi-automated research studies and report generation. Under user guidance, it employs hierarchical teams of AI agents based on the plug-and-play generalist and domain-specific large language models (LLMs) exploiting a variety of specialized research tools and open data repositories and generates high-quality research outputs publication drafts with maximally-accurate references. DORA is designed to minimize the time and effort required for manuscript preparation, thereby enabling researchers to devote more attention to high-value discovery tasks. The system is constantly evolving with user feedback with regular feature and resource updates. The platform is available at https://dora.insilico.com.

bioinformatics↗

bioRxiv2025

Transcriptomic plasticity is a hallmark of metastatic pancreatic cancer

Metastasis is the leading cause of cancer deaths; nonetheless, how tumor cells adapt to vastly different organ contexts is largely unknown. To investigate this question, we generated a transcriptomic atlas of primary tumor and diverse metastatic samples from a patient with pancreatic ductal adenocarcinoma who underwent rapid autopsy. Unsupervised archetype analysis identified both shared and site-specific gene programs, including lipid metabolism and gastrointestinal programs prevalent in peritoneum and stomach wall lesions, respectively. We developed a probabilistic approach for inferring clonal phylogeny from single-cell and matched whole-exome data. Distantly related genetic clones in the peritoneum express the lipid metabolism program, likely due to signaling by the adipocyte-rich peritoneum environment, and cells in most clones express multiple programs, suggesting that transcriptomic plasticity is a prevalent feature of metastatic cells. These deeply annotated analyses using a patient-centric platform provide a model for investigating metastatic mechanisms and plasticity in advanced cancer.

bioinformatics↗