Biology subjects

Zhang, Q.

Publications and source records attributed to Zhang, Q..

At least 163 records · Page 9Linked to original sources

bioRxiv2025

Derivation, Characterizations, and Applications of Rabbit Haploid Embryonic Stem Cells

Haploid embryonic stem cells (haESCs), which contain a single set of chromosomes, provide powerful systems for investigating gene function and creating gene-edited animal models. haESCs have been derived from several mammalian species including human, mouse and rats, yet not from rabbits. Here, we report the derivation of parthenogenetic haESCs of rabbit (rbPhESCs) using an optimized culture medium. These cells maintain a stable haploid karyotype during long-term culture and own pluripotency features comparable to diploid embryonic stem cells derived from rabbit fertilized embryos. By integrating gene trapping cassette into ROSA26 locus, rbPhESCs offer an ideal platform for high-throughput functional genomic screening, as shown in haESCs from other mammals. Consistent with their parthenogenetic origin, rbPhESCs durably preserve maternal-specific imprinting patterns even after extended culture in serum-containing conditions, providing a valuable platform for generating disease models deficient in maternally expressed imprinted genes. Therefore, our findings expand the repertoire of mammalian haESCs and establish rbPhESCs as a valuable platform for genetic studies and biotechnological applications in rabbits.

cell biology↗

bioRxiv2025

Hybrid untargeted and targeted RNA sequencing facilitates genotype-phenotype associations at single-cell resolution

Long-read scRNA-seq enables simultaneous, unbiased identification of transcriptomic variants and gene expression but is often limited by low read coverage, restricting genotype-phenotype analyses at single-cell resolution. We systematically evaluated short-read whole-transcriptome amplification (SR-WTA) via Illumina, long-read whole-transcriptome amplification (LR-WTA), and long-read targeted sequencing (LR-Twist) via PacBio for cell typing and genotyping performance. Based on these comparisons, we propose a hybrid strategy and accompanying Snakemake pipeline that integrates SR-WTA with LR-Twist to leverage the strengths of both approaches. SR-WTA provides broad transcriptome coverage, while LR-Twist enriches a 50-gene panel for deeper variant detection. This hybrid approach improves power to link mutational profiles with transcriptional programs at single-cell resolution.

bioinformatics↗

bioRxiv2025

A multi-tissue atlas of genetic regulatory effects in sheep

Characterizing the impact of genomic variants on genome function and ultimately complex traits in livestock is essential for the development of sustainable precision agriculture and comparative genomics. Here, as part of the Farm animal Genotype-Tissue Expression (FarmGTEx) project, we present the pilot phase of the SheepGTEx resource through analyzing 6,761 RNA-sequencing samples of 51 primary tissues in a multi-breed population of sheep. We identify millions of regulatory variants associated with seven types of molecular phenotypes, and fine-map 322,468 primary and 114,017 non-primary effects, revealing a high degree of regulatory allelic heterogeneity. We systematically characterize the pleiotropic effects of these variants on molecular phenotypes, assess their context-specific regulatory patterns across tissues, breeds, sexes, and developmental stages, as well as explore their evolutionary constraints across mammals. Finally, we demonstrate the substantial potential of the SheepGTEx resource (https://sheepgtex.farmgtex.org), by providing examples of regulatory mechanisms underpinning 34 complex traits, population divergence between European and Asian breeds, and adaptive evolution in sheep over the past ten millennia.

genomics↗

bioRxiv2025

MERFISH+, a large-scale, multi-omics spatial technology resolves the molecular holograms of the 3D human developing heart

Hybridization-based spatial transcriptomics technologies have advanced our ability to map cellular and subcellular organization in complex tissues. However, existing methods remain constrained in gene coverage, multimodal compatibility, and scalability. Here, we present MERFISH+, an enhanced version of Multiplexed Error-Robust Fluorescence in Situ Hybridization (MERFISH), which integrates chemical probe anchoring in protective hydrogels with high-throughput microfluidics and microscopy. This optimized design supports robust and repeated hybridization cycles across an entire centimeter-scale tissue sample. MERFISH+ allowed to simultaneously quantify over 1,800 genes and resolve the 3D organization of chromatin loci and their associated epigenomic marks in developing human hearts. Using a generative integration framework for spatial multimodal data (Spateo-VI), we harmonized these MERFISH+ transcriptomic and chromatin data to reconstruct a 3D spatially-resolved multi-omic atlas of the developing human heart at subcellular resolution capturing 3.1 million cells across 34 distinct populations. This 3D atlas provides a holistic view of an entire organ enabling the characterization of 3D cellular neighborhoods and transcriptional gradients of substructures such as the descending arteries. Thus, MERFISH+ offers a robust, large-format platform for spatial multi-omics that enables high resolution mapping of gene expression at subcellular resolution and the characterization of cellular organization within 3D organs. One Sentence SummaryMERFISH+ is an spatial multi-omics platform that integrates hydrogel-based probe anchoring, automated high-throughput microfluidics, and large-format multimodal data production to enable comprehensive, subcellular resolution mapping of gene expression and chromatin organization across millions of cells within complex developing human organs. HighlightsO_LIMERFISH+ expands MERFISH capabilities to measure >1,800 genes and at whole-organ 3D imaging scale C_LIO_LICombines chemical probe anchoring with high-throughput volumetric microscopy and microfluidics C_LIO_LIGenerates a 3D molecular atlas of a developing human heart with > 3.1 million cells at subcellular resolution C_LIO_LIIntroduces Spateo-VI, a novel generative framework integrating 3D multimodal datasets C_LI

genomics↗

bioRxiv2025

Integrated analysis implicates novel insights of NMB into lactate metabolism and immune response prediction in primary glioblastoma

BackgroundGlioblastoma (GBM), the most aggressive primary brain tumor in adults, exhibits profound treatment resistance and poor prognosis. Despite advances in immunotherapy for other cancers, GBM remains refractory, potentially due to its lactate-rich, immunosuppressive tumor microenvironment (TME). While aerobic glycolysis-driven lactate accumulation is known to acidify the TME and impair immune function, the precise mechanisms linking lactate metabolism to immune evasion in GBM remain elusive. MethodsWe integrated multi-omics analyses with machine learning to identify - gene signatures associated lactate metabolism (LM) and Tumor Immune Dysfunction and Exclusion (TIDE) through weighted gene co-expression network analysis (WGCNA). Multiple bioinformatic tools were employed to determine the association of key genes with TME remodeling, immunotherapy response and drug sensitivities. ResultsNeuromedin B (NMB) emerged as a pivotal regulator of lactate-mediated immunosuppression, correlating strongly with LM and TIDE. We found that NMB expression was remarkably correlated with clinical characteristics, immune response, TME remodeling and drug sensitivities. ConclusionThis study demonstrates that NMB is a key cross-factor in metabolic and immune regulation in GBM. It breaks through the traditional perception that metabolism and immunity are mutually exclusive in cancer by promoting oxidative phosphorylation (OXPHOS) metabolism and enhancing anti-tumor immunity through its dual functions. It provides a new direction for the combined intervention of metabolic targeting and immunotherapy, and the strong predictive value of NMB expression for drug response further highlights its clinical application potential in the formulation of personalized treatment strategies for GBM patients.

neuroscience↗

bioRxiv2025

Hemin Inhibits the Activation of STING in Macrophages by Inducing HO-1, Promoting Endometriosis Development

IntroductionEndometriosis (EMS) is an estrogen-dependent inflammatory disorder characterized by immune dysregulation. This condition profoundly affects the quality of life and reproductive health of nearly 200 million women of reproductive age worldwide and poses significant clinical challenges due to lack of diagnosis tools and effective treatment. Peritoneal macrophages play a central role in promoting the initiation and progression of EMS. Bioinformatics studies have indicated that the STimulator of INterferon Gene (STING) was downregulated in the macrophages in EMS, and this influenced their polarization and functional. However, the specific contribution of STING pathway alterations to EMS pathogenesis remains unclear. MethodsWe integrated scRNA-seq data from EMS patients and healthy controls-including lesions, eutopic endometrium, non-lesional tissue, and peritoneal fluid from EMS patients and healthy controls(n = 19,291 total samples)-to analyze macrophage STING expression and function. Mouse EMS model was generated by injecting uterus fragments into WT or STING-/- mice. Peritoneal fluid was collected and macrophage proportions and subtypes were assessed via flow cytometry. Macrophages were depleted in STING-/- mice prior to EMS induction to evaluate their role in disease progression. In vitro, hemin was used to treat macrophages to investigate how heme oxygenase-1 (HO-1) modulates the STING pathway, assessed through immunoblotting, co-immunoprecipitation, ELISA, and multiplex immunofluorescence. ResultsBioinformatic analysis revealed that macrophages within the EMS lesions are primarily derived from peritoneal macrophages and exhibit decreased STING expression, which correlated negatively with HO-1. STING-/- mice developed more numerous and larger EMS lesions, accompanied by a decreased proportion of large peritoneal macrophages and an increase in small peritoneal macrophages. A marked elevation in M2-type macrophages within the lesions was detected in STING-/- mice. In vitro, hemin-induced HO-1 suppressed STING pathway activation in macrophages. Mechanistically, HO-1 inhibited the translocation of STING from the endoplasmic reticulum to the Golgi, thereby suppressing STING signaling and facilitating EMS. ConclusionMacrophages are essential for lesion formation in STING-/- mice. In vitro, hemin promotes EMS progression via HO-1 - mediated suppression of the STING pathway. Our findings identify the heme-HO-1-STING axis as a key immunomodulatory pathway in EMS and suggest its potential as a therapeutic target. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=157 SRC="FIGDIR/small/683839v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@6901beorg.highwire.dtl.DTLVardef@1f18d44org.highwire.dtl.DTLVardef@1716f6forg.highwire.dtl.DTLVardef@4ae22d_HPS_FORMAT_FIGEXP M_FIG Graphical abstract (Created in BioRender.com) Retrograde menstruation leads to the accumulation of heme in the peritoneal cavity, which upregulates HO-1 expression in peritoneal macrophages. HO-1 inhibits the translocation of STING from the endoplasmic reticulum to the Golgi apparatus in macrophages, thereby suppressing the STING pathway and promoting the development and progression of EMS. The progression of EMS, in turn, reinforces this mechanism, creating a self-sustaining vicious cycle. C_FIG

immunology↗

bioRxiv2025

HLA-DQ2/8 genotype imprints strain-level gut microbiome and constrains pantothenate availability in healthy adults

HLA-DQ2/8 haplotypes are established genetic risk factors for autoimmune diseases and are known to influence gut microbiota assembly in early life. However, their impact on the adult microbiome and functional consequences for host physiology remain unclear. Here, we performed a genotype-stratified multi-omics analysis of 60 healthy adults, including 28 HLA-DQ2/8 carriers and 32 non-carriers. We found that host HLA-DQ2/8 genotype was significantly associated with gut microbiome composition, with an effect size exceeding that of sex and BMI. HLA-DQ2/8 carriers exhibited higher gut microbial alpha-diversity, lower virulence factor abundance, and a distinct species profile enriched in butyrate-producing taxa. We identified pervasive intra-species phylogenetic and functional divergence linked to the DQ2/8 genotype. This diversification reflects predicted HLA-restricted microbial peptide-binding specificities, suggesting a possible role for antigen presentation-mediated immune selection, a mechanism further supported by AlphaFold3 structural modeling. We found an enrichment of microbial pathways for pantothenate and coenzyme A (CoA) biosynthesis in carriers, primarily driven by functionally divergent Blautia obeum strains. This functional shift paralleled lower levels of serum pantothenate and HDL-cholesterol in the host. Our findings suggest a potential genotype-microbiome-host axis where antigen presentation-mediated immune selection may modulate microbial adaptation, with possible implications for the host availability of essential cofactor precursors and lipid metabolism.

microbiology↗

bioRxiv2025

Oncogenic EGFR rewires STING-TBK1 immune machinery to license DNA damage tolerance

EGFR hotspot mutations (mEGFR), including primary L858R, exon 19 deletion, and secondary T790M, are pivotal oncogenic drivers in human non-small cell lung cancer (NSCLC). Meanwhile, NSCLC resistance to third-generation tyrosine kinase inhibitors (TKIs) is a major clinical challenge and remains mechanistically unresolved. Here, we uncover a previously unrecognized immunological mechanism whereby mEGFR exploits cGAS-STING innate immune signaling, conventionally regarded as tumor-suppressive, to sustain oncogenic signaling and therapeutic resistance. Mechanistically, mutant EGFR kinase aberrantly incorporates into STING signalosomes, directly phosphorylating STING (Y245/Y314) and TBK1 (Y577/Y677), stabilizing and hyperactivating TBK1 proteins, and establishing an unexpected and kinase loop critical for DNA damage repair. Disruption of this mEGFR-STING-TBK1 axis, genetically or pharmacologically, profoundly sensitized resistant patient-derived NSCLC organoids to chemotherapy. Combining TBK1 inhibition with cisplatin notably eradicated mEGFR-driven tumors in spontaneous and immunocompetent NSCLC murine models and patient-derived organoids. Our findings suggest a new function of cGAS-STING in the DNA damage repair program, its paradoxical exploitation by oncogenic driver mutations, and an innate immune therapeutic vulnerability in NSCLC.

cancer biology↗

bioRxiv2025

ctsGRN: Inferring cell type-specific gene regulatory networks in Arabidopsis

Gene regulatory networks (GRNs) govern life processes. And exploring GRNs is of great value for understanding biological functions and developing species resources. At present, studies on plant GRNs are limited, mostly focusing on the tissue level, which hinders the discovery of cell type-specific regulatory networks and mechanisms. To address this, we have proposed a GRN research framework named ctsGRN (CellTypeSpecGRN) for conducting cell-specific GRN research at the cell type resolution. In this framework, we employed three representative algorithms from statistics (e.g., correlation analysis), traditional machine learning (e.g., random forest) and deep learning (e.g., neural networks) to construct GRNs for different cell types in Arabidopsis roots. Among these, traditional machine learning methods showed the best performance. Experimental validation through yeast one-hybrid (Y1H) assays and ChIP-seq data confirmed the high reliability and predictive power of these inferred GRNs. By analyzing these networks, we mined novel cell type-specific regulatory relationships, identified core transcription factor (TF) AT5G08790 involved in root development, discovered 249 cell-type-specific hub TFs, and 136 key functional modules were found to be enriched in biological processes. Additionally, we revealed significant heterogeneity of TF-target gene interactions across various cell types. This comprehensive analysis offers a detailed overview of TF-mediated cell type-specific transcriptional regulation in Arabidopsis roots, providing new insights into the molecular mechanisms of root development and establishing a guideline framework for GRN research at the cell-type level in plants.

bioinformatics↗

bioRxiv2025

Primary metabolism determines the outcome of salicylic acid-mediated immune induction

Controlling the deleterious effects of immune responses is as vital as fighting infection. In plants, this is achieved, in part, by circadian clock-mediated regulation, such as the synthesis of and response to the immune hormone salicylic acid (SA)1,2. Application of SA at the same concentration under light/dark cycles induces immunity with minimal impact on growth, however, prolonged darkness leads to plant death2. To uncover what determines this life-or-death outcome, we identified twenty survival of SA-induced death (ssd) mutants through genetic screening. These mutants are defective in starch, glucose, and nitrate metabolism, and circadian regulation, and accumulate excessive starch and/or glucose. Likewise, glucose application rescues SA-treated plants in prolonged darkness. Surprisingly, SA treatment does not deplete glucose, but instead, induces amino acid and fatty acid catabolism. Through transcriptomic analyses of glucose-rescued WT plants and ssd mutants for shared pathways, we found that SA triggers plant death in darkness by inducing oxidative stress, and water loss, while glucose antagonizes these processes, boosts ER protein processing and re-establishes the anabolism-catabolism balance. Interestingly, the programmed cell death induced by effector-triggered immunity shares common transcriptomic patterns with those observed during SA-induced cell death in darkness and could also be attenuated by glucose treatment. Therefore, coordination with the cellular metabolic context plays a central role in determining immune outcomes and optimizing plant health.

plant biology↗

bioRxiv2025

Fragile nucleosomes are essential for RNA Polymerase II to transcribe in eukaryotes

Nucleosomes are barriers to RNA Polymerase II (Pol II) transcribing along gene bodies in eukaryotes. We found that a fragile "tailless nucleosome" could be generated to resolve the Pol II pausing caused by the +1 nucleosome in metazoans. We hypothesized that "pan-acetylated nucleosomes" along gene bodies are fragile and are generated to resolve the resistance of nucleosomes to the elongation of Pol II. To confirm this hypothesis, we systematically analyzed pan-acetylation and pan-phosphorylation of the entire human genome in HEK293T cells. Herein, we show that both pan-acetylation and pan-phosphorylation of histones in nucleosomes along gene bodies are coupled with the activities of Pol II. Our results show that there are four major types of fragile nucleosomes required for Pol II to transcribe along gene bodies: nucleosomes without tails, nucleosomes with dominant acetylation, nucleosomes with dominant phosphorylation, and nucleosomes with both acetylation and phosphorylation.

genetics↗

bioRxiv2025

Simple, Fast and Highly Efficient One-or Two-step Proteomic Preparation Enables Deep Profiling of Microgram-level FF and FFPE Tissues

Large-scale tissue proteomics requires workflows that are efficient, rapid, and repeatable across diverse samples. Herein, we present Simple Workflow for Integrated and Fast Tissue-preparation (SWIFT), which enables complete processing of fresh- frozen (FF) and formalin-fixed, paraffin-embedded (FFPE) tissues in either one- or two-step formats, while maintaining deep proteome coverage with high repeatability from low to microgram-level tissues. For FF tissues, an incubation process integrating lysis, reduction, alkylation, and digestion generates peptide samples directly from tissues in [≤] 1.5 h. For FFPE tissues, concurrent deparaffinization, rehydration, and de- crosslinking is achieved within 0.5 h, followed by one-step peptide preparation. Furthermore, our workflows eliminate desalting and offline cleanup steps, thereby reducing variability and total processing time. Using our methods, we identified up to [~]10,000 protein groups and [~]150,000 peptides across multiple mouse organs on timsTOF Pro. Repeatability was high (pairwise Pearsons r > 0.96 across six experimental replicates), with dynamic ranges spanning 6-7 orders of magnitude. Organ-enriched protein analysis identified functionally distinct proteins unique to each tissue Paired FF and FFPE analyses revealed preservation-induced shifts, with FFPE tissues showing reduced detection of membrane-associated and respiratory proteins, including mitochondrial Complex I. Together, our fast and simplified workflows enable deep tissue proteomics for large-scale clinical and translational studies in a cost- effective and widely-accessible manner.

biochemistry↗

bioRxiv2025

Humidity-driven shape morphing enhances fog harvesting in porous cactus spines

Cacti develop spines instead of conventional leaves, which often serve as mechanical defence against herbivores and protection from excess sunlight. However, some cactus species grow porous and flexible spines, suggesting fundamentally different functions. Here we demonstrate that the porous spines of Turbinicarpus alonsoi, a cactus native to central Mexico, function as hygro-morphing fog harvesters. We discovered that the spines are highly hygroscopic and straighten when exposed to fog, leading to increased fog water collection rates. Experiments and numerical simulations confirm that straightening is driven by swelling-induced pressure in the cell walls of the spine tissue. Swelling results from capillary imbibition of fog water and predominantly generates expansion in the transverse plane, which causes the pre-curved spines to straighten. Despite their porosity and hygroscopicity, the spines prevent direct absorption of fog water into the living cortex due to the presence of a suberin-rich tissue layer at the spine base that instead promotes surface runoff towards the roots. Our work suggests that hygro-morphing emerges from distinct structural, biochemical and geometric adaptations of cactus spines, and enables a fine modulation of the flow dynamics on the surface of spines. The increasing plant water supply from fog by shape morphing provides a potential advantage for survival in a hot, semi-arid region with frequent fog formation. Significance statementIn many arid regions of the world, fog is a critical source of fresh water. Plants display striking ways to harvest this fog water. For cacti with porous spines, it has long been assumed that they collect fog water directly by capillary imbibition. However, we demonstrate that, in Turbinicarpus alonsoi, water-impermeable tissue at the spine base prevents direct transport of water into the living cortex. Instead, a dual process increases fog water collection: the curved spines initially imbibe fog water, which causes them to swell and straighten, and a thin liquid film then forms on the spine and runs off along the plant surface down to the roots. Hygro-morphing spines therefore enhance the capacity of cacti to collect fog water.

plant biology↗

bioRxiv2025

Catch and release of sialoglycoRNAs enables sequencing-based profiling across cellular and extracellular material

Glycosylated RNAs (glycoRNAs) represent a recently discovered class of small RNAs, but their systematic characterization has been limited by reliance on metabolic chemical reporters and high RNA input requirements. Here we present rPAL sequencing (rPAL-seq), a sensitive and selective platform for de novo discovery of sialoglycoRNAs. rPAL-seq combines enhanced periodate oxidation of sialic acids with a capture-release workflow and optimized library construction using poly(A) extension coupled with template-switching reverse transcription. The method enabled reproducible profiling from less than 100 ng of input RNA, corresponding to less than 2% of the material required by previous approaches. When applied across 13 human cell lines, rPAL-seq identified lineage-associated glycoRNA patterns alongside a conserved core dominated by uridine-rich snRNAs and snoRNAs, with modification signatures implicating glycosylation on acp3U or related uridine-based modifications. Extending to extracellular vesicles and non-vesicular nanoparticles, rPAL-seq revealed secreted glycoRNA profiles distinct from those of the cellular fraction. rPAL-seq provides a robust, scalable strategy for glycoRNA profiling, opening new avenues for studying this emerging biopolymer.

molecular biology↗

bioRxiv2025

Absolute hand determination of glycofibrils from natural sources in cryo-EM

Glycans are one of the four fundamental macromolecules that constitute life. However, compared with proteins and nucleic acids, our understanding of the structures and functional mechanisms of glycans remains limited. Moreover, it is generally challenging to obtain high-resolution three-dimensional structures of glycans. Recent studies have demonstrated the potential of the CryoSeek strategy in enabling high-throughput structural determination of glycans, thereby presenting novel avenues for their structural investigation. Meanwhhile, unlike proteins, near atomic resolution density maps of glycofibrils do not inherently facilitate the determination of absolute hand, which is a prerequisite for building atomic models of glycofibrils. Existing absolute hand determination methods have severe limitations in the cases of glycofibrils from natural sources. In this study, we introduce Ahaha, a straightforward and efficient method for determining such absolute hand in cryo-EM. With their absolute hand measured by Ahaha, we built atomic models of four glycofibrils derived from a natural water sample, facilitating the study of glycans. The online service of Ahaha is available at https://cryoseek.org/ahaha.

biophysics↗

bioRxiv2025

Overcoming rapaprotin resistance through inhibition of P-glycoprotein

The 26S proteasome is an essential regulator of protein homeostasis and a clinically validated therapeutic target in multiple myeloma (MM). Rapaprotin, a novel macrocycle identified from a rapamycin-inspired rapafucin library, disrupts 26S proteasome function by inducing disassembly of the 19S regulatory particle in the 26S proteasome, leading to apoptosis in MM cells. Its bioactivation requires prolyl endopeptidase (PREP)-mediated cleavage to generate Rapaprotin-L, a negatively charged, linear metabolite with potent proteasome-disassembly activity. Using the PRISM cancer cell line profiling platform, we identified high P-glycoprotein (P-gp/ABCB1) expression as a major determinant of Rapaprotin resistance in solid tumor cell lines. Efflux assays confirmed Rapaprotin-L, but not its parent Rapaprotin, as a high-affinity P-gp substrate. Co-treatment with the third-generation P-gp inhibitor tariquidar restored the intracellular accumulation of Rapaprotin-L, reinstating proteasome inhibition and consequent apoptosis of Rapaprotin-resistant colorectal cancer cell lines. Strong synergy between Rapaprotin and tariquidar was observed in a 3D spheroid model. These results establish P-gp as a key mediator of resistance to Rapaprotin and identify a rare example of a negatively charged Rapaprotin-L as a P-gp substrate. Together, these findings expand the potential therapeutic scope of Rapaprotin beyond hematologic malignancies to a broader range of solid tumors.

pharmacology and toxicology↗

bioRxiv2025

Lipid nanoparticle co-delivery of mRNA and a small molecule drug for oral cancer chemoimmunotherapy

Oral squamous cell carcinoma (OSCC) represents 90% of all head and neck cancers. Despite decades of research, the 5-year survival rate is 50%, and strikingly, the overall incidence rate is projected to increase by 30% in the next ten years, which will result in a sharp increase in mortality. Two fundamental aspects of OSCC are that it progresses via the inactivation and mutation of tumor suppressor (TS) genes and has a "cold" tumor immune microenvironment (TIME). A major barrier in the treatment of OSCC is the lack of novel therapies clinicians have at their disposal that are designed to disrupt tumor progression by reshaping the cold tumors into inflammatory "hot" tumors. To overcome these obstacles, we employed a lipid nanoparticle (LNP) that co-encapsulates p53 mRNA and the small molecule ciclopirox (CPX). We demonstrate that both drugs have innate chemotherapeutic properties by facilitating caspase activation. Moreover, these therapies can create a less immunosuppressive TIME in part by repolarizing tumor-associated macrophages (TAMs) to M1-like phenotypes. When formulated together, our platform provides an all-in-one approach for OSCC, effective in both p53-therapy-susceptible and p53-therapy-resistant models. Additionally, this work provides a template for a delivery platform capable of tackling multiple mechanisms of OSCC progression and survival.

bioengineering↗

bioRxiv2025

CDK11 activates CDK12 to trigger the elongation of RNA Polymerase II

CDK11 is an essential cyclin-dependent kinase in higher eukaryotes, yet its specific substrates and functional roles have remained elusive. Our findings reveal that CDK11 is functionally analogous to the yeast Bur1 kinase, phosphorylating the repeat region of hSpt5 and the linker domain of Rpb1 in RNA Polymerase II (Pol II). Inhibition of CDK11 results in a significant reduction of active Pol II not only at transcription start sites but also along gene bodies. Further investigation finds that CDK11 is crucial for the phosphorylation and activation of CDK12, which is essential for the elongation of Pol II. Moreover, we find that CDK10 can partially compensate for the function of CDK11. Combining with earlier functional elucidation of CDK9 from us, the consequent roles of CDK7/8, CDK9, CDK10/11, and CDK12/13 in transcription regulation in metazoans are established.

biochemistry↗