Biology subjects

Zou, C.

Publications and source records attributed to Zou, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Genetic accessibility, not superior fitness, determines which anti-HBs antibody escape variants are selected in patients

Background and Aims: Genetic diversity within the hepatitis B virus (HBV) surface antigen (HBsAg) drives the emergence of immune escape variants, but studying this diversity in vivo has been limited by the difficulty of establishing infection from patient isolates. We aimed to perform unbiased in vivo screening of variants in the HBs antigenic loop for antibody escape and fitness, using synthetic DNA launch of HBV in human hepatocyte chimeric mice. Approach and Results: Direct intrahepatic injection (IHI) of barcoded, recombinant cccDNA established infection from up to 32,000 independent launch events of a genotype A strain and successfully launched clinical consensus sequences across the major genotypes. Using IHI, we performed deep mutational scanning of 4,608 codon variants across the HBs antigenic loop. Under control antibody treatment, diverse variants expanded, revealing differences in variant fitness in the absence of adaptive immune pressure. Anti-HBs monoclonal antibody treatment suppressed wild-type viremia while permitting breakthrough of resistant variants from the library. Sequencing identified strong enrichment for substitutions at G145 (G145Q, G145H, G145R). Notably, G145Q, rather than the clinically dominant G145R, showed the greatest fitness advantage, indicating that G145R's clinical prevalence does not reflect superior intrinsic fitness. Conclusions: Unbiased in vivo screening reveals that clinically observed HBV escape mutations reflect which substitutions are genetically accessible by single nucleotide change and compatible with the overlapping polymerase reading frame, rather than which confer optimal fitness. This approach establishes a platform for high-resolution mapping of viral variant fitness under antiviral selection pressure.

microbiology↗

bioRxiv2026

The HBV basal core promoter mutation confers a replicative advantage and transcriptionally reprograms hepatocytes toward HCC subtypes

Background: Hepatitis B virus (HBV) basal core promoter (BCP) and precore (PC) mutations occur during chronic HBV infection with the BCP-mutant being associated with increased hepatocellular carcinoma (HCC) risk. Objectives: The effects of these mutants on viral replication, hepatocyte biology, and carcinogenesis remain poorly defined. To address this, we characterized BCP- and PC-mutants using human hepatocyte chimeric mice and asked whether the resulting infection-induced transcriptomes correspond to subsets of human HBV-related hepatocellular carcinomas (HBV-HCCs). Design: Isogenic wild-type (WT), BCP- and PC-mutants of HBV genotypes A, C, and D (HBV-A, -C, -D) were generated from recombinant covalently-closed circular DNA to infect chimeric mice. HBV-HCC transcriptomic datasets from The Cancer Genome Atlas (TCGA) were used to stratify association of HBV variants with HCC subtypes. Results: WT, BCP-mutant, and PC-mutant HBV sequences remained genetically stable. The BCP mutation, but not the PC mutation, accelerated the rise in serum viremia in HBV-D- and HBV-A-infected chimeras; in HBV-C, acceleration required both (PC+BCP) mutations. Further comparisons of HBV-D variants revealed that the BCP-mutant increased intrahepatic viral DNA, viral protein expression, and upregulated cancer-related pathways, including transcripts associated with a subset of HBV-HCCs. Analysis of HBV-HCC samples from the TCGA revealed that tumors often harbor a mixture of WT and mutant transcripts, and that WT- and BCP-mutant-associated HCCs exhibit distinct transcriptional profiles. Conclusions: The HBV BCP-mutant directly perturbs hepatocyte homeostasis via virus-intrinsic mechanisms, selectively activating cancer-related pathways and defining a molecularly distinct subset of HBV-HCC. These findings suggest that HBV variants form distinct subcategories of HBV-HCCs.

molecular biology↗

bioRxiv2026

A CRISPR-Cas9 platform for primary human hepatocytes enables arrayed screening and in vivo validation of HBV host factors

More than two million deaths annually are attributed to liver-related conditions, making primary human hepatocytes (PHH) an invaluable in vitro model for studying liver pathophysiology and the molecular mechanisms underlying hepatic diseases. However, because PHH do not proliferate in culture, CRISPR gene editing has been highly inefficient. Here, we report lipofection- and lentivirus-mediated protocols for CRISPR-Cas9 delivery in mouse-passaged primary human hepatocytes (mpPHH), a system that enables PHH expansion in liver-humanized mice. We achieve robust gene editing efficiencies exceeding 90% in mpPHH while maintaining cell viability. We demonstrate the utility of these protocols by disrupting CYP3A4 to impair xenobiotic metabolism and by showing that edited mpPHH efficiently engraft and expand in mice, generating liver-humanized animals. We establish the feasibility of arrayed CRISPR screening in mpPHH using an 85-gene screen to identify host factors influencing hepatitis B virus (HBV) infection, and validate key findings in humanized mice by targeting the HBV entry receptor SLC10A1 (NTCP), which reduced viral infection in vivo. Our methodology enables scalable genetic manipulation of mpPHH, opening new avenues for HBV research and liver disease modeling.

genomics↗

bioRxiv2026

Orthogonal CRISPR screens and human liver chimeric mice identify hepatitis B virus host factors

Hepatitis B virus (HBV) chronically infects approximately 250 million people worldwide, and reliable curative therapies are lacking. A broader understanding of viral-host interactions could accelerate efforts to find new host-centric therapeutic targets. However, inefficient cell culture systems and limited replication markers compatible with pooled screening have precluded the widespread use of genetic perturbation screens. Here, we performed the first pooled, genome-wide CRISPR-Cas9 knockout (KO) screen with authentic HBV infection and integrated these results with two orthogonal pooled screens to identify host factors. We selected 72 genes for a multi-step assessment that included arrayed validation assays using both HBV infection and pgRNA transfection. We then independently tested thirteen genes using high-efficiency bulk KO experiments to guide further investigations of both antiviral and proviral factors. In both KO and siRNA-mediated knockdown experiments, depletion of the top antiviral factor, EXOC1, enhanced multiple HBV replication markers, and transcriptomic analysis revealed activation of hypoxia- and HIF-1 gene signatures. Three proviral factors, IRF2, WDR48, and ZCCHC14, were investigated in vivo using a human liver chimeric mouse model, which demonstrated that ZCCHC14 KO greatly reduced HBV replication and spread. Together, these complementary in vitro and in vivo platforms expand the catalog of HBV host factors and provide a scalable framework for host target discovery.

microbiology↗

bioRxiv2026

Hierarchical Immune Suppressive Functions of Regulatory T Cells Built on Mechanical Force

Regulatory T (Treg) cells maintain immune tolerance via contact-dependent inhibition and soluble mediators. While canonical suppressive mechanisms are well characterized, their hierarchical spatiotemporal organization remains unclear. We previously showed Foxp3 represses ER Ca2+ channel RyR2, reducing cytoplasmic Ca2+ to inactivate m-Calpain (Calpain-2) and stabilize high-affinity LFA-1-mediated Treg-dendritic cell (DC) adhesion--an early step blocking DC antigen presentation. Using m-Calpain as a molecular switch, we generated mechanically deficient Tregs (TregFD) with constitutively active m-Calpain that abrogated high-force Treg-DC adhesion. TregFD retained a near-wild-type transcriptome (differential expression limited to adhesion pathways), yet failed to suppress autoimmunity or DC-driven T cell proliferation. Stable adhesion was required for localized TGF-{beta}/IL-10 delivery to DCs. Single-cell RNA sequencing of rescued Scurfy mouse lymphoid tissues revealed organ-specific division of labor: non-mechanical modules support homeostasis/tissue repair, while mechanical modules dominate epithelial barrier/antigen presentation suppression. Combined TregFD and RyR2-deficient Tconv transfer restored wild-type Treg activity, demonstrating module synergism. These findings establish a mechanical force-centered, two-tiered hierarchical model of Treg suppression, providing a framework for targeting Treg mechanics in autoimmunity and inflammation.

immunology↗

bioRxiv2026

Paired CRISPR screens identify mitochondrial metabolism and UBE2H as aneuploid-specific dependencies in human cancer cell lines

Aneuploidy is a hallmark of cancer and imposes widespread cellular stress, including proteotoxicity, transcriptional dysregulation, and increased metabolic demand. Although these stresses are predicted to create therapeutic vulnerabilities, the genetic dependencies of aneuploid cells remain incompletely characterized. Here, we performed paired CRISPR loss-of-function screens in isogenic aneuploid and near-euploid cancer cell line models to systematically identify aneuploidy-specific dependencies. Seven genome-wide paired screens identified ribosomes, rRNA processing, spliceosome-mediated RNA processing, proteasome subunits, and mitochondrial metabolism as top aneuploid-specific dependency gene groups. To identify therapeutically targetable aneuploid dependencies, we performed 18 additional paired CRISPR screens using a focused druggable genome library. This analysis identified the ubiquitin-conjugating enzyme UBE2H as a top aneuploid-selective dependency. Functional validation confirmed aneuploid cell dependency on UBE2H, and mechanistic analyses linked UBE2H to mitochondrial protein abundance, suggesting a role in maintaining mitochondrial proteostasis under aneuploid stress. Together, these findings define core cellular systems that support the viability of aneuploid cells and identify UBE2H as a potential therapeutic vulnerability connecting ubiquitin signaling to mitochondrial homeostasis.

cancer biology↗

bioRxiv2026

PantheonOS: An Evolvable Multi-Agent Framework for Automatic Genomics Discovery

The convergence of large language model-powered autonomous agent systems and single-cell biology promises a paradigm shift in biomedical discovery. However, existing biological agent systems, building upon single-agent architectures, are narrowly specialized or overly general, limiting applications to routine analyses. We introduce PantheonOS (https://PantheonOS.stanford.edu), an evolvable, privacy-preserving multi-agent framework designed to reconcile generality with domain specificity. Critically, PantheonOS enables agentic code evolution, allowing evolving state-of-the-art batch correction and our reinforcement-learning augmented gene panel selection algorithms to achieve super-human performance. PantheonOS drives biological discoveries across systems: uncovering asymmetric paracrine Cer1-Nodal inhibition in proximal-distal axis formation of novel early mouse embryo 3D data; integrating human fetal heart multi-omics with whole-heart data to reveal molecular programs underpin heart diseases; and adaptively selecting virtual cell models to predict cardiac regulatory and perturbation effects. Together, PantheonOS points towards a future where scientific discoveries are increasingly driven by self-evolving AI systems across biology and beyond. Websitehttps://pantheonos.stanford.edu Ecosystemhttps://github.com/aristoteleo SummaryLarge language model-powered agent systems are driving a paradigm shift in scientific discovery by automating, scaling, and accelerating data analysis. This transformation is particularly profound in biology, where the rapid expansion of single-cell and spatial genomics has effectively reshaped the field into a data-intensive science. However, existing biological agent systems are typically constrained to single-agent designs, are narrowly specialized, or are overly general without sufficient domain expertise, limiting their applicability to routine or shallow analyses. Here, we introduce PantheonOS (https://pantheonos.stanford.edu), an evolvable, privacy-preserving, and general-purpose multi-agent framework designed to reconcile generality with deep domain specificity. PantheonOS provides an abstract, extensible architecture that enables customized agent composition and supports end-to-end single-cell and multi-omics analysis, spanning reinforcement-learning-augmented gene panel design, raw FASTQ processing, multimodal data integration, and three-dimensional spatial genomics reconstruction. Central to this framework, Pantheon-Evolve enables agentic code evolution, allowing the system to autonomously improve state-of-the-art batch-correction algorithms and new reinforcement-learning based gene panel design algorithms, achieving performance beyond manually designed baselines. We demonstrate the power of PantheonOS across multiple biological domains. In early mouse embryogenesis, PantheonOS automatically reconstructs three-dimensional spatial gene expression landscapes and resolves asymmetric Cer1 expression and paracrine Cer1-Nodal inhibition, revealing a robust proximal-distal axis at embryonic day six (E6.0). In human development, PantheonOS integrates fetal heart single-cell multi-omics with whole-heart 3D MERFISH+ data at post-conception week 12, uncovering spatially resolved molecular programs underlying heart disease ontogeny. Finally, an intelligent model-routing mechanism enables PantheonOS to adaptively select optimal virtual cell models across heterogeneous tasks, revealing minimal regulatory networks of cardiogenesis and predicting spatially resolved perturbation effects in the developing heart. Together, PantheonOS establishes a foundation for fully automated, evolvable, and domain-aware agentic analysis in genomics, and points toward a future in which scientific discovery is increasingly driven by self-improving AI systems across biology and beyond.

bioinformatics↗

bioRxiv2026

Glucose hypometabolism and hyperphosphorylated Tau synergistically drive neuronal necroptosis

The combination of brain glucose hypometabolism and hyperphosphorylated Tau (p-Tau) pathology is the strongest known clinical predictor of imminent cognitive decline, yet how these factors cooperate to drive dementia remains unknown. Here, we show that glucose hypometabolism synergizes with p-Tau to trigger neuronal loss through necroptosis. Under low-glucose conditions, accumulated p-Tau forms a molecular scaffold that directly recruits the necroptotic kinase RIPK1, while concomitant loss of the necroptosis checkpoint protein A20 removes a critical brake on this death pathway. This dual mechanism thereby precipitates neuronal necroptosis independent of classical TNF/TNFR1 signaling paradigm. Restoring A20 expression with acetyl-L-carnitine as a dietary supplement or preventing the p-Tau - RIPK1 interaction using a RIPK1 derived competitive peptide alleviates neuronal necroptosis and brain atrophy in a Tau transgenic mouse model. Collectively, our findings uncover a previously unrecognized metabolism-driven necroptotic signaling cascade initiated by a p-Tau-RIPK1 hub, providing mechanical insight into how glucose hypometabolism synergizes with p-Tau to drive neurodegeneration.

neuroscience↗

bioRxiv2025

Impact of multi-echo ICA modeling decisions on motor-task fMRI analysis

Multi-echo independent component analysis (ME-ICA) has been demonstrated to improve sensitivity and reliability of task functional magnetic resonance imaging (fMRI) data and, in particular, motor-task data with inherent task-correlated head motion. However, previous work has shown that an overly aggressive ME-ICA denoising approach may unintentionally remove task-related signal, while a more conservative approach may not effectively mitigate noise. While the effects of varied implementations of ME-ICA on signal and noise characteristics have been tested thoroughly in breath-hold data, the effects of similar modeling decisions have not been studied in motor-task data, which present with a more localized neural response. Here, we tested and compared the impacts of three analysis methods using rejected ME-ICA components as regressors in subject-level modeling: Aggressive (simple inclusion of ME-ICA regressors), Moderate (excluding task-correlated ME-ICA regressors from the model), and Conservative (orthogonalization of ME-ICA regressors to the core model and accepted ME-ICA components). We applied these methods to data from healthy and multiple sclerosis populations that included performance of hand-grasp, shoulder-abduction, and ankle-flexion tasks. We found that when the amount of head motion and its correlation with the task was high and the expected task-evoked signal was relatively low, the Conservative method led to significantly higher activation, t-statistics, and test-retest similarity in motor regions compared to the Aggressive method. Future motor-task studies may wish to implement similar models to prevent loss of motor signal, while still mitigating the effects of task-correlated head motion.

bioengineering↗

bioRxiv2025

Rad18 suppresses the late step of human immunodeficiency virus type 1 replication

The Rad18 DNA repair protein plays a central role in the response to DNA damage and has been suggested to bind to the human immunodeficiency virus type 1 (HIV-1) integrase (IN) and restrict the early steps of HIV-1 infection. However, the inhibitory mechanism of Rad18 is not fully understood. Here, we describe a series of experiments that indicate that Rad18 can suppress the late step of HIV-1 replication by inhibiting selective viral post-transcription and the production of infectious HIV-1 virions. Notably, Rad18 interacted with HIV-1 IN, Tat, and Vif proteins and hijacked them in the nucleoli. Therefore, Rad18 seems to suppress multiple steps of HIV-1 infection, including viral post-transcription, production, and infectivity. ImportanceRad18, which contributes to damage bypass and DNA post-replication repair, is known to bind to HIV-1 IN and suppress HIV-1 infection. In this study, we found for the first time that Rad18 suppresses the late stages of HIV-1 infection. In addition to IN, we identified Tat and Vif as Rad18-interacting proteins. Rad18 may suppress multiple steps of the HIV-1 life cycle, including the early steps of HIV-1 infection, reverse transcription and integration, and the late steps of HIV-1 infection, viral post- transcription, viral production, and viral infectivity. These findings highlight the protective role of DNA repair proteins against retroviral infection and L1 retrotransposition as guardians of the human genome.

microbiology↗

bioRxiv2025

Runx/Cbfβ regulates the development of tolerogenic Thetis cells

Establishing immune tolerance to gut microbiota and food antigens upon first exposures during early life is essential to prevent inflammatory bowel diseases and food allergy and depends on induction of peripherally induced Ror{gamma}t expressing regulatory T (Ror{gamma}t+ pTreg) cells1, 2, 3, 4, 5, 6. Recent studies have identified a critical role for Ror{gamma}t expressing antigen-presenting cells (APC), Thetis cells (TCs), in peripheral regulatory T (pTreg) cell differentiation and tolerance to food and commensal microbes7, 8, 9, 10, 11. TCs encompass four distinct subsets, and a subset of TCs, TC IV induces pTreg differentiation, but the transcription factors that control their differentiation are not fully known. Here, using orthogonal genetic approaches to impair Runx/Cbf{beta} activity, we show that development of specific TCs subsets is regulated by Runx/Cbf{beta} transcriptional factor complexes. While attenuated Runx3 by germline mutations resulted in a severe reduction of all Ror{gamma}t+ APCs, mice lacking one of two Cbf{beta} splicing variants, Cbf{beta}2, exhibited a loss of TC II, III and TC IV subsets with associated loss of Ror{gamma}t+ pTreg cells. Conditional inactivation of Runx1 and Runx3 genes by CD11c-Cre led to a specific loss of TC III and TC IV subsets. Strikingly, CD11c-Cre driven transgenic Runx expression, particularly Runx1, led to enhanced TC IV differentiation and thus Ror{gamma}t+ pTreg cells. Furthermore, transgenic Cbf{beta}2 by CD11c-Cre recovered only TC IV subset with restoration of Ror{gamma}t+ pTreg in Cbf{beta}2-deficient mice. Collectively, our findings establish a critical pathway for TC IV differentiation and provide new insights into therapeutic interventions to promote Ror{gamma}t+ pTreg induction in autoimmune and inflammatory diseases.

immunology↗

bioRxiv2025

Immunomodulatory effect of HLA-G Overexpressed Mesenchymal Stromal Cell in Cell-based Therapy for Myocardial Infarction

BackgroundOur previous study demonstrated that intravenous administration of mesenchymal stromal cells (MSCs) significantly increased local cell engraftment and improved heart function. We sought to investigate whether HLA-G1 overexpressed MSCs could further increase local transplanted cells engraftment and improve heart function. Methods and ResultsMice were randomized to receive intravenous administration of saline, human umbilical cord blood derived MSCs (hUCB-MSCs) 7 days prior to acute myocardial infarction (AMI), induced by ligation of the left anterior descending coronary artery. Then, intramyocardial transplantation of human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) was performed 30 minutes following AMI. Echocardiographic assessment was performed to assess heart function. In-vivo fluorescent imaging analysis were used to analyze cell engraftment. Flow cytometry of splenic regulatory T cells (Tregs) and natural killer (NK) cells was conducted to evaluate the immunomodulatory effect. Our result showed that systemic intravenous administration of hUCB-MSCs significantly increased systemic Tregs, decreased systemic NK cells, increased cell engraftment of intramyocardial transplanted hiPSC-CMs, culminating in improvement of heart function. Our in-vitro study showed that HLA-G1 overexpressed hUCB-MSCs modulated immune response by decreasing pro-inflammatory cytokines. ConclusionsSystemic intravenous administration of HLA-G1 overexpressed hUCB-MSCs modulated immune response and enhanced the survival of local transplanted hiPSC-CMs to improve heart function following AMI.

cell biology↗

bioRxiv2024

Comparative spatiotemporal single cell transcriptomes reveal rewiring of pre-existing regulations during emergence of Kranz anatomy in C4 grasses

Many of the worlds most productive food and bioenergy crops use C4 photosynthesis, which have high photosynthetic efficiency due to a Kranz anatomy-based CO2 concentrating mechanism. Here, we took a comparative transcriptomics approach using single cell spatial transcriptomes of leaf primordia for maize (Zea mays) and single cell RNA-seq (scRNA-seq) atlases of corresponding leaf tissues for three C4 species (Zea mays, Sorghum bicolor, Setaria viridis) and one C3 rice (Oryza sativa) to study regulatory networks involved in the development and evolution of Kranz anatomy. We show that the formation of Kranz anatomy involves extensive recruitment and modification of pre-existing regulatory modules, especially the SHR-SCR module and the auxin signaling pathway. Members of the INDETERMINATE DOMAIN (IDD) family transcription factors, including IDD7 and IDDP1, contribute to the modification of the involved modules. These extensive recruitment and modification of existing genetic regulatory programs underlie the repeated emergence of C4 photosynthesis during evolution.

plant biology↗

bioRxiv2024

Ybx1 guides C/EBPα and cBAF chromatin-remodeling complex to promote adipogenic gene expression in steatotic hepatocytes

Excessive lipid accumulation by hepatocytes underlies the pathogenesis of metabolic-dysfunction associated steatotic liver disease (MASLD) and metabolic-dysfunction associated steatohepatitis (MASH) from the earliest stages of the disease. How liver cells regulate the commitment to storing large volumes of fat despite resulting tissue damage is not well understood. Here, we show Y box-binding protein 1 (Ybx1) is necessary for ectopic activation of an adipocyte-specific gene expression module that potentiates lipid accumulation in hepatocytes. Diet-induced obese (DIO) mice, with liver-specific depletion of Ybx1 (Ybx1LKO), are resistant to MASLD without becoming hyperlipidemic. Ybx1LKO livers exhibit upregulation of hepatocyte markers, like urea processing enzyme carbamoyl phosphate synthetase I (Cps1), and downregulation of adipocyte markers known to be transcriptionally regulated by peroxisome proliferator-activated receptor gamma (PPAR{gamma}). In nuclei of DIO mice, YBX1 interacts with CCAAT-enhancer-binding proteins alpha (C/EBP) and the canonical BRG1/BRM-associated factor complex (cBAF); and C/EBP is required for Ybx1-dependent PPAR{gamma} expression in cultured liver cells. The chromatin binding pattern of YBX1 from DIO mouse liver overlaps with those of C/EBP and cBAF at key adipogenic loci including Pparg and Cfd. However, most YBX1-DNA binding occurs on C/EBP-cBAF-depleted stretches located on chromosomes 16, 18, and 19, spanning up to five Mb, and overlapping regions which are inaccessible in differentiating preadipocytes, thereby bounding activational C/EBP-cBAF complex-DNA interactions. Moreover, YBX1 expression is increased up to nine-fold in the livers of obese patients with MASLD-MASH compared to healthy obese controls; and adipocyte-specific genes, upregulated by Ybx1, are also upregulated in human MASLD-MASH. Overall, our study uncovers Ybx1 as a critical epigenetic regulator in liver and potential therapeutic target for treatment of MASLD and MASH.

developmental biology↗

bioRxiv2024

Generalizable Quantum Computing Pipeline for Real World Drug Discovery

Quantum computing, with its superior computational capabilities compared to classical approaches, holds the potential to revolutionize numerous scientific domains, including pharmaceuticals. However, the application of quantum computing for drug discovery has primarily been limited to proof-of-concept studies, which often fail to capture the intricacies of real-world drug development challenges. In this study, we diverge from conventional investigations by developing an advanced quantum computing pipeline tailored to address genuine drug design problems. Our approach underscores the pragmatic application of quantum computation and propels it towards practical industrial adoption. We specifically construct our versatile quantum computing pipeline to address two critical tasks in drug discovery: the precise determination of Gibbs free energy profiles for prodrug activation involving covalent bond cleavage, and the accurate simulation of covalent bond interactions. This work serves as a pioneering effort in benchmarking quantum computing against veritable scenarios encountered in drug design, especially the covalent bonding issue present in both of the case studies, thereby transitioning from theoretical models to tangible applications. Our results demonstrate the potential of a quantum computing pipeline for integration into real world drug design workflows.

bioinformatics↗

bioRxiv2023

Comprehensive characterization of the integrin family across 32 cancer types

Integrin genes widely involve in tumorigenesis. Yet, a comprehensive characterization of integrin family and their interactome on the pan-cancer level is lacking. Here, we systematically dissect integrin family in nearly 10000 tumors across 32 cancer types. Globally, integrins represent a frequently altered and misexpressed pathway, with alteration and dysregulation overall being protumorigenic. Expression dysregulation, better than mutational landscape, of integrin family successfully identifies a subgroup of aggressive tumors demonstrating a high level of proliferation and stemness. We identify that several molecular mechanisms jointly regulate integrin expression in a context-dependent manner. For potential clinical usage, we construct a weighted score, integrinScore, to measure integrin signaling patterns in individual tumors. Remarkably, integrinScore consistently correlates with predefined molecular subtypes in multiple cancers, with integrinScore high tumors being more aggressive. Importantly, integrinScore is cancer-dependently and closely associated with proliferation, stemness, tumor microenvironment, metastasis, and immune signatures. IntegrinScore also predicts patients response to immunotherapy. By mining drug databases, we unravel an array of compounds that may serve as integrin signaling modulators. Finally, we build a user-friendly database to facilitate researchers to explore integrin-related knowledge. Collectively, we provide a comprehensive characterization of integrins across cancers, which offers gene- and cancer-specific rationales for developing integrin-targeted therapy.

bioinformatics↗

bioRxiv2023

Stabilization of RRBP1 mRNA via an m6A-dependent manner in prostate cancer constitutes a therapeutic vulnerability amenable to small-peptide inhibition of METTL3

Mounting evidence has implicated the RNA m6A methylation catalyzed by METTL3 in a wide range of physiological and pathological processes, including tumorigenesis. The detailed m6A landscape and molecular mechanism of METTL3 in prostate cancer (PCa) remains ill-defined. We find that METTL3 is overexpressed in PCa and correlates with worse patient survival. Functional studies establish METTL3 as an oncoprotein dependent on its m6A enzymatic activity in both AR+ and AR- PCa cells. To dissect the regulatory network of m6A pathway in PCa, we map the m6A landscape in clinical tumor samples using m6A-seq and identify genome-wide METTL3-binding transcripts via RIP-seq. Mechanistically, we discover RRBP1 as a direct METTL3 target in which METTL3 stabilizes RRBP1 mRNA in an m6A-dependent manner. RRBP1 positively correlates with METTL3 expression in PCa cohorts and exerts an oncogenic role in aggressive PCa cells. Leveraging the 3D structural protein-protein interaction between METTL3 and METTL14, we successfully develop two potential METTL3 peptide inhibitors (RM3 and RSM3) that effectively suppress cancer cell proliferation in vitro and tumor growth in vivo. Collectively, our study reveals a novel METTL3/m6A/RRBP1 axis in enhancing aggressive traits of PCa, which can be therapeutically targeted by small-peptide METTL3 antagonists.

cancer biology↗

bioRxiv2023

In vivo perturb-seq of cancer and immune cells dissects oncologic drivers and therapy response

Genetic perturbation screens with single cell readouts have enabled rich phenotyping of gene function and regulatory networks. These approaches have been challenging in vivo, especially in adult disease models such as cancer, which include mixtures of malignant and microenvironment cells. Glioblastoma (GBM) is a fatal cancer, and methods of systematically interrogating gene function and therapeutic targets in vivo, especially in combination with standard of care treatment such as radiotherapy, are lacking. Here, we iteratively develop a multiplex in vivo perturb-seq CRISPRi platform for single cell genetic screens in cancer and tumor microenvironment cells that leverages intracranial convection enhanced delivery (CED) of sgRNA libraries into models of GBM. Our platform enables potent silencing of drivers of in vivo growth and tumor maintenance, as well as genes that sensitize GBM to radiotherapy. We find radiotherapy rewires transcriptional responses to genetic perturbations in an in vivo dependent manner, revealing heterogenous patterns of treatment sensitization or resistance in GBM. Furthermore, we demonstrate targeting of genes that function in the tumor microenvironment, enabling alterations of ligand-receptor interactions between immune/stromal cells following in vivo CRISPRi perturbations. In sum, we demonstrate the utility of multiplexed perturb-seq for in vivo single cell dissection of adult cancer and normal tissue biology across multiple cell types in the context of therapeutic intervention, a platform with potential for broad application.

genomics↗