Biology subjects

Kang, H.

Publications and source records attributed to Kang, H..

At least 19 recordsLinked to original sources

bioRxiv2026

Imbalance between RNA-binding proteins and the WAVE regulatory complex underlies the toxic gain-of-function effects of the CYFIP2 Arg87Cys variant in neurodevelopmental disorders

Pathogenic variants in cytoplasmic FMR1-interacting protein 2 (CYFIP2) cause neurodevelopmental disorders, with hotspot substitutions at arginine 87 (Arg87) associated with particularly severe symptoms. CYFIP2 functions both as a component of the WAVE (Wiskott-Aldrich syndrome protein family verprolin-homologous protein) regulatory complex (WRC), regulating the actin cytoskeleton, and as an interactor of RNA-binding proteins (RBPs) involved in mRNA processing/translation. Although Arg87 variants reduce CYFIP2 protein stability, heterozygous knock-in mice carrying Arg87Cys (Cyfip2+/R87C) show markedly more severe phenotypes than heterozygous knockout (Cyfip2+/-) mice, supporting a toxic gain-of-function mechanism. However, how the dual roles of CYFIP2 contribute to this mechanism remains unclear. To address this, we examined Cyfip2+/R87C mice at postnatal week 7, before overt neuronal loss and gliosis, focusing on the progressive dispersion of hippocampal cornu ammonis 1 (CA1) pyramidal neurons, a phenotype absent in Cyfip2+/- mice. Single-nucleus RNA sequencing suggested candidate alterations related to translation and cell adhesion/migration in CA1 pyramidal neurons. Complementarily, human embryonic kidney 293T cells expressing CYFIP2 Arg87Cys showed defects in proliferation and morphology, accompanied by altered expression of cell adhesion-related genes. Quantitative proteomic analysis of the CA1 region uncovered an imbalance between CYFIP2-associated protein networks, characterized by increased RBPs and reduced WRC components. Phosphoproteomic analysis further revealed altered phosphorylation of synaptic and translational regulators. Consistently, whole-cell recordings and biocytin-based morphological analyses showed increased frequency of miniature excitatory postsynaptic currents and altered dendritic morphology in Cyfip2+/R87C CA1 pyramidal neurons, most prominently in the more severely dispersed deep-layer neurons. Moreover, the cell adhesion molecule Eph receptor A3 was reduced, possibly as a result of RBP dysregulation. Together, these findings suggest that an imbalance between RBP- and WRC-associated pathways underlies the gain-of-function effects of CYFIP2 Arg87Cys and contributes to early neuronal phenotypes, most notably CA1 layer dispersion. This mechanism, distinct from CYFIP2 haploinsufficiency, supports allele-specific therapeutic strategies for Arg87 variants.

neuroscience↗

bioRxiv2026

PETRO enables robust estimation of on-target perturbation effects in Perturb-seq

Perturb-seq uses multiple guides per target as replicates, but off-target effects can bias target-level estimates even with efficient target perturbation. We present PETRO, which recovers the on-target perturbation effect while allowing, for each outcome, an unknown minority of guides to have arbitrary off-target effects. Across CRISPRa and CRISPRi datasets, sequence-associated off-target bias persisted after pooling cells across guides and nearly doubled in one CRISPRa dataset after a published guide filter. PETRO largely removed this bias and reduced transmission of effects from independently flagged promiscuous guides. In simulations, PETRO nearly matched pooling in power without off-target effects; with off-target effects, pooling remained biased as cell numbers increased, whereas PETRO recovered the on-target perturbation effect. In cortical Perturb-seq, most ZNF219 pathway enrichments from pooling rested on one guide and did not survive majority-supported aggregation, unlike those for targets with concordant guides. PETRO enables robust target-level Perturb-seq analysis from replicate-guide agreement.

genomics↗

bioRxiv2026

Chirality-Driven Photonic PCR Enables Label-Free Genetic Amplification

Photonic polymerase chain reaction (PCR) offers a rapid alternative to conventional thermal cycling for genetic amplification, but current platforms are limited by low photothermal conversion efficiencies and a dependence on bulky fluorescent monitoring systems. Here we report a chirality-driven photonic amplification paradigm that achieves both accelerated nucleic acid replication and direct, label-free detection. By leveraging chiral plasmonic nanoparticles, we exploit their elevated absorption cross-sections to achieve exceptional light-to-heat conversion and rapid thermal relaxation, significantly accelerating heating and cooling rates during cycling. We show that localized chiral near-fields generated by these chiral plasmonic nanoparticles optimize DNA polymerase conformational dynamics, lowering the activation energy barrier for synthesis and boosting amplification efficiency. Furthermore, by tracking the reaction with circular dichroism spectroscopy, we directly monitor the intrinsic chiroptical signature of amplifying DNA, completely eliminating the need for external fluorescent dyes or labeled probes. We validate this system using SARS-CoV-2 E-gene plasmid DNA templates, demonstrating rapid, label-free amplification and single-copy detection within clinically relevant timelines. By bridging asymmetric photothermal dynamics with chiral-field-induced enzymatic activation, this work translates chiroplasmonic materials from fundamental physics into high-performance, point-of-care molecular diagnostics.

bioengineering↗

bioRxiv2026

Enhancing Mycobacterial Clearance via Heterologous BCG Prime Boost Strategy Using Recombinant Mycobacterium smegmatis

Bacille Calmette-Guerin (BCG) remains the only licensed tuberculosis (TB) vaccine, yet its protective efficacy against adult pulmonary TB is limited. To overcome this, we evaluated a novel recombinant Mycobacterium smegmatis (rMs) booster vaccine expressing Ag85B and ESAT-6 via the pMyong2 vector, combined with oat-derived {beta}-glucan adjuvant, to enhance BCG-primed immunity. BALB/c mice were primed with BCG and boosted twice with homologous BCG or varying doses of rMs with or without {beta}-glucan. Five weeks post-booster, mice were challenged intraperitoneally with M. tuberculosis H37Ra. Systemic bacterial clearance in liver tissue, cell-mediated immunity IFN-{gamma}, IL-17a, and antibody responses IgG, IgG2c, IgA were evaluated 3 weeks post-challenge. All rMs booster groups (rMs, high-dose rMs H, low-dose with {beta}-glucan, rMs {beta}) achieved complete systemic clearance of H37Ra with no detectable CFUs (colony forming unit), significantly outperforming mock-vaccinated and repeated BCG groups (**p < 0.01). Repeated BCG revaccination showed higher bacterial loads than single BCG (***p < 0.001), confirming no booster effect. Low-dose rMs with {beta}-glucan maintained 100% survival and total bacterial elimination despite a 50% dose reduction. Immune markers did not strictly correlate with clearance. Homologous BCG revaccination provides no additive protection, whereas pMyong2-based rMs confers robust systemic bacterial clearance. Adjuvanting with {beta}-glucan enables dose reduction while preserving maximum efficacy, establishing rMs as a promising heterologous TB booster candidate.

immunology↗

bioRxiv2026

BatchRefiner: fast, significant improvement in batch integration of single-cell embeddings with ensemble refinement

Data from single-cell RNA sequencing (scRNA-seq) and the Assay for Transposase-Accessible Chromatin (scATAC-seq) are high-dimensional, sparse, and undesirably capture technical variability between experiments or batches. Many analysis methods thus seek to produce a low-dimensional cell-by-feature embedding space that groups together biologically similar cells across batches while distancing dissimilar cells. Here, we introduce ensemble refinement for scRNA-seq and scATAC-seq embeddings, inspired by ensemble methods from statistical machine learning, and implement BatchRefiner, a fast post-processing tool to enhance batch integration. We extensively benchmark widely-used scRNA-seq embedding methods on both batch integration and biological conservation over a wide range of datasets, before and after the addition of BatchRefiner. We extend these benchmarking approaches to provide the first comprehensive benchmark of batch integration for scATAC-seq embedding methods, including BatchRefiner. Importantly, we formalize a significance statistic, which we use to demonstrate BatchRefiner's significant improvement in batch integration across a wide range of embedding methods, atlas-scale datasets, and established metrics.

bioinformatics↗

bioRxiv2026

Whole-genome resequencing-based comparative variant analysis identifies candidate genes associated with cross-beak phenotype in Huiyang Bearded chickens

Cross-beaks are deemed a threat to poultry health, productivity, and animal welfare. Nevertheless, due to sporadic cases, heterogeneity of gene loci and incomplete dominance, the molecular mechanism of cross-beak formation, especially the degree of cross, is not yet clear. Thus, we screen key genes and reveal the possible phenotypic formation mechanism of cross-beak by comparison with different degrees of deformity in Huiyang Bearded chickens by compare whole-genome resequencing-based variant analysis. Comparative analysis between cross-beak and normal-beaked chickens identified differential variants in several candidate genes, including CDH11, CTNNAL1, NRXN3, NRXN1, CDH5, SDC3, and DHFR. Genes harboring these variants were enriched in pathways related to cell adhesion molecules and metabolic processes, with functional annotations involving cell-cell adhesion and neural crest cell migration. Comparative analysis between chickens with severe and slight cross-beak deformities identified additional candidate genes, including MRPL21, NSUN2, DDX55, GNB3, and NFKB2. These genes were associated with enriched terms and pathways related to focal adhesion, amyotrophic lateral sclerosis, steroid 7 -hydroxylase activity, and skin-barrier establishment. These findings provide a preliminary catalogue of genetic variants and candidate genes for future functional studies of cross-beak development and severity in chickens.

genomics↗

bioRxiv2026

Intrauterine growth restriction is associated with adaptive hematopoietic reprogramming and selective immune rewiring in monozygotic twins

BackgroundPrenatal growth restriction has been associated with adverse neonatal and long- term health outcomes, yet the epigenetic mechanisms by which an adverse intrauterine environment shapes fetal immune development remain incompletely understood. Monozygotic dichorionic-diamniotic twins with selective fetal growth restriction (sFGR) provide a unique human model for investigating environmentally driven developmental programming independent of genetic variation and inter-twin placental vascular anastomoses. MethodsUmbilical cord blood buffy coat samples were collected from three sFGR and two gestational age-matched concordant control twin pairs. Bulk RNA sequencing and genome-wide DNA methylation analysis were performed, followed by differential expression, pathway enrichment, hematopoietic and immune module analyses, differential methylation, and integrative transcriptomic-epigenomic analyses. ResultsCompared with concordant control twin pairs, discordant twins exhibited broad attenuation of immune and inflammatory transcriptional programs alongside enrichment of erythroid- and hypoxia-related pathways, consistent with adaptive hematopoietic responses to intrauterine stress. Within discordant twin pairs, the growth-restricted co-twins displayed marked transcriptional asymmetry characterized by selective enrichment of cytotoxic lymphoid signatures despite global suppression of myeloid and antigen-presenting cell-associated programs. Integrated transcriptomic and epigenomic analyses further revealed coordinated epigenetic remodeling, with hypomethylated regions in growth-restricted twins enriched for immune regulatory pathways, including T cell differentiation and leukocyte activation. At selected loci, concordant hypomethylation and increased gene expression suggested a potential epigenetic basis for the observed immune remodeling. ConclusionsThese findings suggest that intrauterine growth restriction is associated with coordinated hematopoietic and immune reprogramming at birth, consistent with both compositional and cell-intrinsic alterations. In genetically identical twins, relative growth divergence was associated with polarized transcriptional states, highlighting how intrauterine environmental differences may shape early immune development independent of genetic background.

genomics↗

bioRxiv2026

Salicylic acid mediates graft incompatibility by repressing auxin-dependent vascular reconnection in tomato

Graft incompatibility limits the combination of scions and rootstocks, yet the signals that block vascular reconnection remain poorly understood. Using incompatible tomato-pepper (Solanum lycopersicum-Capsicum annuum) grafts, we found that salicylic acid (SA) overaccumulates at the graft junction, predominantly in the rootstock, while incompatible scions exhibit enhanced pattern-triggered immunity. SA-deficient nahG-expressing tomato failed to rescue incompatibility and instead showed severely impaired self-graft healing, indicating that successful tissue reunion requires an optimal, rather than minimal, SA response. Defense-associated genes remained activated in failed grafts regardless of SA accumulation, placing SA downstream of incompatibility determination. Exogenous SA application phenocopied incompatibility, blocking xylem reconnection, inducing cell death, and suppressing auxin signaling. Incompatible grafts similarly displayed reduced auxin accumulation and response at the graft junction. Exogenous auxin partially rescued xylem reconnection in incompatible grafts but failed to activate cambial regulator genes or fully restore compatibility. We propose that graft compatibility depends on SA-auxin homeostasis, where moderate SA supports wound-associated defense and regeneration, whereas excessive SA suppresses the auxin-dependent program required for xylem differentiation. These findings identify SA as a dose-dependent regulator of graft healing in tomato and link excessive immune activation to failed vascular regeneration.

plant biology↗

bioRxiv2026

CMAPS: Causal Mediation Analysis of Perturbation Screens with Application to Genome-scale Perturb-seq Data

CRISPR-Cas9 perturbation screens coupled with single-cell multi-omic profiling enable dissection of gene regulatory mechanisms, yet existing analyses largely quantify total perturbation effects and offer limited insight into the molecular intermediates that transmit these effects. We introduce CMAPS (Causal Mediation Analysis for Perturbation Screens), a semiparametric framework for robust mediation analysis that accommodates unmeasured mediator-outcome confounding and incorporates an adaptive bootstrap test with false discovery rate control. Simulations and data-driven computational experiments show that CMAPS yields accurate, calibrated mediation estimates and robust mediator identification, as confirmed through negative controls and permutation-based validation. Applied to K562 Perturb-seq, CMAPS recapitulates transcriptional cascades downstream of GATA1. In BT16 MultiPerturb-seq data, CMAPS identifies promoter-centric, enhancer-distributed, and mixed cis-regulatory programs linking chromatin remodeling factors to transcriptional responses. CMAPS provides a rigorous and interpretable framework for mechanistic inference in single-cell perturbation screens. CMAPS is implemented in R and is available at https://github.com/keleslab/CMAPS.

genomics↗

bioRxiv2026

Cryo-EM structure and biochemical characterization of a BRAF/CRAF heterodimer: Negative charge in the NtA motif is not required for RAF activation

Upon RAS-driven membrane recruitment, RAF kinases ARAF, BRAF and CRAF are activated via formation of homo- or hetero-dimers to initiate signaling through the MAP kinase cascade. Although RAF heterodimers are important for both physiologic and oncogenic signaling, they have been little studied at a structural and biochemical level. Here we report the preparation, biochemical characterization, and the cryo-EM structure of a 14-3-3-bound BRAF/CRAF heterodimer complex. The heterodimer exhibited kinetic parameters and sensitivity to a panel of twelve structurally diverse RAF inhibitors that were closely similar to, or intermediate between, those of BRAF and CRAF homodimers. Cryo-EM structures of the heterodimer with and without MEK1 revealed an overall organization essentially identical to that of RAF homodimers, but with an asymmetric interaction in the MEK1-bound structure in which the BRAF N-terminal acidic (NtA) motif extends across the dimer interface to engage the CRAF RKTR motif. Mutagenesis of this interface unexpectedly revealed that replacing the acidic NtA sequence with a basic RARA sequence yields highly active RAF homodimers and heterodimers, demonstrating that negative charge in the NtA motif is not required for activity. Collectively, our findings suggest that the charge state of the NtA motif influences RAF activity through effects on local backbone dynamics and the stability of the inactive kinase conformation, rather than via stereospecific recognition across the dimer interface.

biophysics↗

bioRxiv2026

A Rapidly Excretable, ROS-Scavenging Ionizable Lipid Decouples mRNA Delivery Potency from Toxicity

The broader clinical application of mRNA therapeutics remains constrained by dose-limiting toxicities, vector-associated immunogenicity, and prolonged tissue retention of lipid nanoparticles (LNPs) in vivo. Here, we report a class of ionizable lipids incorporating a sulfur-bearing hexyl 2-hydroxyethyl sulfide (HHES) motif that decouples mRNA delivery potency from these safety liabilities through dual functionality: the sulfur moiety acts as an intrinsic reactive oxygen species scavenger to suppress oxidative stress, while undergoing oxidative conversion into hydrophilic metabolites to promote rapid systemic clearance. HHES-based LNPs demonstrated a 3.3-fold shorter hepatic half-life and 29-fold lower total hepatic exposure than MC3, while maintaining robust protein expression including functional monoclonal antibody production in vivo. Repeated dosing in non-human primates confirmed negligible systemic, hepatic, or hematological toxicity. Leveraging this safety profile, subretinal HHES LNP delivery achieved up to 57% genome editing efficiency in retinal pigment epithelium, suppressing choroidal neovascularization by [~]65% in a wet age-related macular degeneration model without structural damage or microglial activation. This dual-function design provides a generalizable framework for safe, transient, non-accumulative mRNA nanomedicines.

bioengineering↗

bioRxiv2026

Profiling Peripheral Blood with an Optimized, Multiplexed, Single-cell Multiome Approach Supports an Insulin-driven Asthma Subtype

RNA sequencing (RNA-seq) and the Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) have become standard techniques for studying gene regulation in human populations. Single-cell (sc) "multiomic" genomic methodologies now enable researchers to dissect cellular heterogeneity while simultaneously measuring gene expression and chromatin accessibility within individual cells. However, single-cell approaches remain experimentally complex and cost-prohibitive, limiting their application in population studies, and motivating the development of new strategies for population-scale single-cell investigations. To this end, we have adapted and optimized a previous multiomic protocol, "Transcriptome, Epitope, and ATAC sequencing" (TEA-seq) through experimentation and simulation to incorporate sample multiplexing, thus resulting in our "multiplexed TEA-seq" (mTEA-seq) protocol. Using mTEA-seq, we sought to determine whether asthma that develops in conjunction with early-life elevated insulin levels might have an identifiable molecular signature. We studied samples from adult individuals (54 subjects, 272,003 cells) from the Tucson Childrens Respiratory Study (TCRS), a birth cohort phenotypically characterized over four decades, to identify unique molecular characteristics of blood cells from asthmatics who had high serum insulin levels at age 6. Using a Bayesian approach, we found striking sex-specific effects. Male asthmatic subjects with high insulin at age 6 displayed widespread immune transcriptional and epigenetic alterations into adulthood compared to male non-asthmatic subjects without elevated insulin at age 6. We also found that male non-asthmatics with early-life high insulin showed epigenetic perturbations in adulthood, but not transcriptional changes. The consistency of epigenetic signals between these two groups that had high insulin at age 6 was highly cell-type-specific. For example, CD14+ monocytes displayed broadly common insulin-associated chromatin remodeling regardless of asthma status, while NK cells exhibited unique patterns of insulin-associated epigenetic reprogramming depending on asthma status. Finally, genotyping performed directly from our single-cell data enabled cell type-specific cis-QTL mapping that suggested HLA-DQB1 and AHI as genes for future study in insulin-associated asthma. Our investigation of childhood insulin-associated asthma demonstrates a metabolically-driven alterations on immune cells persisting into adulthood, thus providing a molecular signature of this asthma subtype, and offering novel insights for disease prevention and therapeutic intervention.

genomics↗

bioRxiv2026

HMA proteins produce 2',3'-cNMP signaling molecules and activate CNL-mediated immunity in rice

Plants deploy a sensor repertoire, usually NLRs, to perceive pathogen effectors and activate executor NLR-triggered immunity. Here we reveal that rice HMA proteins function as sensors detecting the Magnaporthe oryzae MAX effector AvrPigm to trigger broad-spectrum blast resistance mediated by the CNL PigmR. AvrPigm is conserved with multiple copies in blast genomes and targets HMA proteins, facilitating HMA translocation into the cytoplasm. Cryo-EM structure of the HPP04HMA reveals a filament-like oligomer with ssDNA/RNA bound inside the filament, which display cyclic nucleotide synthase activity to generate 2',3'-cNMP in a CNL-dependent manner. We further discovered that the LRR domains of the executor CNLs perceive 2',3'-cNMP to mount immunity. Our study thus establishes an unrecognized immunity mode with a distinct repertoire of sensor receptors that produce signaling molecules that are perceived by the LRR domains of executor NLRs to mediate immunity, shedding new light on the sensor-executor conception and immune activation in plants. HighlightsO_LIHMA proteins and CNL receptors form a new sensor-executor mode in plant immunity C_LIO_LICryo-EM reveals the filament-like structure of HMA-ssRNA/ssDNA C_LIO_LIHMA proteins are cyclic nucleotide synthetases to generate 2',3'-cNMP C_LIO_LILRR domains of CNLs perceive 2',3'-cNMP to mediate immunity C_LI

plant biology↗

bioRxiv2026

Genome-wide maps of transcription factor footprints identify noncoding variants rewiring gene regulatory networks with varTFBridge

Genome-wide association studies have identified millions of noncoding loci linked to human traits, yet how these variants alter gene regulation remains a major challenge, particularly for rare variants where whole-genome sequencing cohorts and high-resolution functional annotations remain limited. Here we show that single-molecule deaminase footprinting (FOODIE) in K562 cells captures up to 103-fold heritability enrichment for erythroid traits despite covering 0.12% of the genome. We introduce varTFBridge, integrating FOODIE footprinting with AlphaGenome variant effect prediction to identify causal noncoding variants altering transcription factor (TF)-mediated regulation. Applied to 490,640 UK Biobank genomes across 13 erythrocyte traits, varTFBridge prioritises 113 high-confidence regulatory variants (104 common, 9 rare), encompassing 2,173 linkages along the variant-TF binding- gene-trait cascade across 64 TFs and 108 genes. varTFBridge recapitulates rs112233623 and resolves its mechanism: GATA1/TAL1 co-binding disruption at a CCND3 enhancer altering red blood cell count and volume.

bioinformatics↗

bioRxiv2026

Causal gene regulatory network inference from Perturb-seq via adaptive instrumental variable modeling

Inferring causal gene regulatory networks (GRNs) from observational single-cell data is challenging due to confounding. While Perturb-seq provides causal leverage, existing methods are often biased by heterogeneous CRISPRi knockdown efficiencies and restrictive assumptions like acyclicity. We present ADAPRE, a framework that treats CRISPR interventions as instrumental variables within a Poisson-lognormal model. By adaptively accounting for variable perturbation strength, ADAPRE recovers potentially cyclic structures and outperforms existing methods. Applied to a genome-wide K562 Perturb-seq dataset, it reconstructs networks enriched for known biological interactions and identifies coherent, leukemia-associated subnetworks, establishing a scalable approach for causal GRN inference.

genomics↗

bioRxiv2026

Model-Driven Hybrid AI Framework for End-to-End Autonomous Decision-Making in Drug Development

Decision-making in drug development spans heterogeneous stages from molecular design to clinical optimization, yet computer-aided workflows across stages remain fragmented, limiting traceability from evidence-derived clinical questions to simulation scenarios and decision endpoints. We present a model-driven hybrid AI framework for end-to-end decision support that treats PICO (Participants, Intervention, Comparison, Outcome) as a machine-actionable specification to define scenarios and align endpoints across modules. Given a PICO-defined clinical question and a drug SMILES, the framework infers PBPK-ready parameters from structure, generates exposure via mechanistic PBPK simulation, and links exposure outputs to clinic-facing therapeutic drug monitoring (TDM) decision support using an open-source NLME-based Clinical Pharmacokinetic Consultant Service (CPCS). We additionally implement an LLM-based PICO extraction layer to structure clinical abstracts into P/I/C/O elements for systematic evidence ingestion. Results include backbone verification for DTI-guided intrinsic clearance prediction under fold-error bounds and PBPK trajectory plausibility, and external validation of the hybrid AI-PBPK pipeline showing substantial dispersion for several endpoints. An input-controlled comparison between PhysioSim and PK-Sim on N = 9 drugs yields similarly degraded accuracy under identical AI-predicted inputs, suggesting upstream parameter quality as a dominant constraint. For evidence ingestion, prompting-only PICO extraction achieves F1 of 0.687 on EBM-NLP and 0.552 on TB-PICO. For clinical utility, CPCS improves TDM performance over a PKS baseline on phenobarbital and vancomycin, reducing MAPE by approximately 26-60% depending on configuration. Overall, the framework provides a modular, traceable blueprint linking evidence-defined questions to exposure simulation and TDM decision support while preserving mechanistic interpretability. Future work will integrate outcome-aligned time-to-event modeling and federated learning to close the PICO-to-outcome loop and improve parameter inference under multi-site governance.

pharmacology and toxicology↗

bioRxiv2025

Metabolic medications modify prostate cancer progression through exosome reprogramming

Among prostate cancer patients, co-morbid Type 2 Diabetes (T2D) is associated with faster progression to biochemical recurrence and increased risk of mortality. Previous work from our lab provides evidence that exosomes purified from media of insulin resistant adipocytes or T2D patient plasma likely drives these outcomes by delivering miRNAs that exacerbate tumor aggressiveness in several breast and prostate cancer models. Here, we build on our previous findings to investigate whether treatment with metabolic medications attenuates the tumor promoting effects of exosomes. We found that human DU145 cells, a model for prostate cancer, treated with plasma exosomes from T2D patients, shows patterns in global gene transcription that resolve by patient treatment with metformin. To test the effects of metformin experimentally, we used a murine model of insulin resistance (IR). Treating DU145 cells with miRNAs purified from the plasma exosomes of IR mice, we found that cells transfected with miRNAs from the metformin-treated IR group displayed significantly less migration than cells transfected with miRNAs from the unmedicated IR group. We suggest that metformin may partially reverse effects of T2D to exacerbate tumor aggressiveness by modifying the miRNA payload of plasma exosomes.

cancer biology↗

bioRxiv2025

Sensitizing tumor response to topoisomerase I antibody drug conjugate by selective CDK7 inhibition

This study investigates the transcriptional impact of Q901, a highly selective CDK7 inhibitor in clinical development. Q901 primarily disrupted MYC and E2F-dependent transcription program, downregulating cell cycle control and DNA damage repair pathways. CDK7 binding at the promoter-proximal regions was dramatically stabilized by Q901, leading to reduced occupancy of MYC, E2F, and RNA Polymerase II (RNAPII). These findings offered a novel therapeutic strategy to enhance cancer susceptibility to TOP1-DNA protein crosslinks (TOP1-DPCs) induced by TOP1 inhibitors. Resistance to TOP1 inhibitors arises through activation of DNA repair pathway when elongating RNAPII encounters TOP1-DPCs. By suppressing RNAPII transition from initiation to elongation and DNA repair pathways, Q901 stabilizes TOP1-DPCs and sensitizes tumor to TOP1 inhibitors. Preclinical studies demonstrated enhanced tumor suppression when combining Q901 with TOP1 inhibitor-based antibody-drug conjugates (TOP1i-ADCs), highlighting its potential as a therapeutic option for cancers resistant to TOP1i-ADC therapy. TeaserOvercoming ADC cross-resistance through combination approach.

cancer biology↗