Biology subjects

Bianchi, N.

Publications and source records attributed to Bianchi, N..

6 recordsLinked to original sources

bioRxiv2026

Precision single-cell profiling of Circulating Tumour Cells: novel markers and data-driven characterization by CTCeek

Circulating tumour cells (CTCs) represent a minimally invasive method for monitoring cancer evolution in patients. CTCs are nowadays commonly isolated using antibodies against EPCAM protein. A key limitation regards the extent of EPCAM-negative CTCs, such as those that undergo EMT or whose tumour of origin is EPCAM-low or negative. We studied 3,302 RNA single-cell transcriptomes reported as CTCs in public repositories. Using copy number variation and cell type-specific markers, we discriminated bona fide CTCs from contaminating blood cells, often mislabelled as CTCs. The integration of bona fide CTCs and PBMCs, from multiple datasets, allowed us to identify novel markers, such as CLDN4, CLDN7, EFNA1 and TACSTD2 for epithelial CTCs, KCNK15 and LY6K for epithelial B CTCs, and ITGB4 for both epithelial B and mesenchymal CTCs. We revealed PODXL, AXL, CAV1, and TGM2 as markers of mesenchymal CTCs, which might be undetectable using anti-EPCAM antibodies, and TM4SF1 as universal marker, expressed in all CTC subclasses. Additionally, we found platelets to be physically associated with the epithelial A, but not with the epithelial B or the mesenchymal subtypes. Finally, we developed and implemented CTCeek, the first web-based and public reference tool that automatically annotates bona fide CTCs from scRNA-sequencing profiles.

cancer biology↗

bioRxiv2026

Early metabolic reprogramming licenses Streptococcus pneumoniae for Influenza-driven superinfection

Bacterial pneumonia remains a major cause of morbidity and mortality following influenza A virus (IAV) infection. However, the adaptive mechanisms that enable pathogen expansion in the post-viral lung remain poorly defined. Here, using a mouse model of IAV-Streptococcus pneumoniae superinfection, we characterize bacterial transcriptional reprogramming in vivo. We identify alcohol dehydrogenases (AdhA and AdhE), that support NAD regeneration during mixed-acid fermentation, as key determinants of bacterial fitness specifically in the IAV-primed lung. Genetic deletion of these results in a pronounced fitness defect during superinfection but not in primary bacterial pneumonia. Consistent with this requirement, pharmacological inhibition of alcohol dehydrogenases limits bacterial expansion and dissemination following IAV infection. Mechanistically, we show that IAV infection profoundly remodels the lung environment, inducing hypoxia and increasing the availability of alternative carbon sources, which together impose a metabolic dependency on Adh for bacterial expansion. Our findings place metabolic adaptation as a central driver of pneumococcal outgrowth following viral infection and reveal exploitable vulnerabilities for therapeutic intervention.

microbiology↗

bioRxiv2026

A Glycosylation-Dependent Checkpoint Restrains Intestinal Intra-Epithelial Lymphocyte Activation

Intraepithelial lymphocytes (IELs) are abundant in the intestinal epithelium, where they maintain barrier integrity and provide immune defense. Because of their potent cytotoxic and effector potential, IEL activity must be tightly controlled to prevent tissue damage. However, the mechanisms that calibrate IEL responsiveness remain unclear. Here, we identify glucosaminyl (N-acetyl) transferase 2 (Gcnt2) as a key restrainer of both natural and induced gut IEL. Among T cells, Gcnt2 is uniquely enriched in the intestine and partly dependent on retinoic acid signaling. GCNT2-mediated branched glycosylation marks IELs with signatures of tissue adaptation and reduced TCR responsiveness. Genetic ablation of Gcnt2 enhanced IEL degranulation, cytokine production, and cytotoxicity upon stimulation, improving bacterial clearance and limiting infection-induced disease, while aggravating the pathological consequences of strong T cell activation. Mechanistically, GCNT2-mediated glycosylation of CD45 reduced its phosphatase activity, thereby dampening TCR signaling and effector responses. Together, these findings reveal GCNT2 as a glycosylation-dependent checkpoint that fine-tunes IEL effector functions, uncovering a novel mechanism by which the intestinal immune system balances responsiveness and tolerance. SummaryGCNT2-mediated I-branching glycosylation of CD45 restrains IEL activation.

immunology↗

bioRxiv2025

Cross-species comparative modelling of antimicrobial host responses ex vivo in human and murine precision cut lung slices and in vivo in mice

Tissue resident host responses to microbial infections in the respiratory tract are highly dynamic in space and time and rely on the interaction of a multitude of cell types. In an attempt to model these multicellular responses reliably in cell culture, we compare here the global transcriptional antimicrobial response to infection with influenza A virus (IAV) in precision cult lung slices (PCLS), volume defined organ discs largely maintaining the cellular composition and 3D architecture of the donor lung. To permit a fair comparison of host responses in an isogenic background we first challenged mice in vivo and murine PCLS (mPCLS) and assess host transciptomic changes by unbiased RNAseq. While core antiviral responses overlapped substantially, mPCLS lacked certain features--such as type II interferon expression--likely due to the absence of infiltrating immune cells responses. Importantly, when expanding our findings to immune experienced human precision cut lung slices (hPCLS), we find a much broader antiviral response after IAV challenge, including type I, II and III interferons, suggesting the presence of responsive tissue resident lymphocytes. To prove specificity of this response we infected hPCLS with Streptococcus pneumoniae. Ex vivo tissues responded with a distinct proinflammatory gene profile including IL1A, IL1B and IL17 expression. Blocking of IL-1 signaling partially inhibited the proinflammatory response, suggesting cellular cross-talk and a complex and specific antimicrobial reaction in this ex vivo model. In conclusion diversified tissue resident immune cell compartment distinguishes the human ex vivo model, making it an ideal system for microbiological and immunological research. ImportancePathogen interactions with the lung are very dynamic processes. In biomedical research it is paramount to model these processes in the laboratory as accurately as possible. Influenza A virus has been extensively studied in epithelial cell culture models, including advanced organoids and organ on a chip systems. We use here ex vivo cultured PCLS and use transcriptomics to assess the global tissue resident host response to viral and bacterial challenge. Our data show 1) that murine PCLS faithfully reflect core responses to viral infection, while missing proinflammatory responses linked to infiltrating immune cells and 2) that human PCLS show a highly diversified tissue resident immune response to viral infection due to previous exposures of the host to this pathogen. These responses are clearly distinct from antibacterial gene profiles. Our data advertise PCLS as a complex and realistic model to study tissue resident immune responses to microbes in a human system.

immunology↗

bioRxiv2024

CDK12 controls transcription at damaged genes and prevents MYC-induced transcription-replication conflicts

Oncogene-induced replicative stress is a potent tumor-suppressive mechanism that must be kept in check for cancer cells to thrive. Thus, the identification of genes and pathways involved in replicative stress is key to understand cancer evolution and to identify prospective therapeutic targets. Here, we investigated factors that modulate replicative stress upon deregulation of the MYC oncogene. We identified the cyclin-dependent kinase CDK12 as selectively required to prevent transcription-replication conflicts and the activation of a cytotoxic DNA-damage response (DDR). At the mechanistic level, CDK12 was recruited to damaged genes by PARP-dependent DDR-signaling and elongation-competent RNAPII. Once recruited, CDK12 repressed transcription by preventing the association of CDK9 with RNAPII. Either loss or chemical inhibition of CDK12 led to DDR-resistant transcription at damaged genes. Genome-wide profiling revealed that loss of CDK12 exacerbated transcription-replication conflicts in MYC-overexpressing cells and led to the accumulation of double-strand DNA breaks (DSBs), occurring preferentially between early- replicating regions and transcribed genes, organized in a co-directional head-to-tail orientation. Overall, our data demonstrate that CDK12 protects genome integrity by repressing transcription of damaged genes, which is required for proper resolution of DSBs at oncogene-induced transcription-replication conflicts. This provides a rationale that explains both how CDK12 deficiency can promote tandem duplications of early-replicated regions during tumor evolution, and how CDK12 targeting can exacerbate replicative-stress in tumors.

cancer biology↗

bioRxiv2024

TumFlow: An AI Model for Predicting New Anticancer Molecules

MotivationMelanoma is a severe form of skin cancer increasing globally with about 324.000 cases in 2020, making it the fifth most common cancer in the United States. Conventional drug discovery methods face limitations due to the inherently time consuming and costly. However, the emergence of artificial intelligence (AI) has opened up new possibilities. AI models can effectively simulate and evaluate the properties of a vast number of potential drug candidates, substantially reducing the time and resources required by traditional drug discovery processes. In this context, the development of AI normalizing flow models, employing machine learning techniques to create new molecular structures, holds great promise for accelerating the discovery of effective anticancer therapies. ResultsThis manuscript introduces a novel AI model, named TumFlow, aimed at generating new molecular entities with potential therapeutic value in cancer treatment. It has been trained on the comprehensive NCI-60 dataset, encompassing thousands of molecules tested across 60 tumour cell lines, with a specific emphasis on the melanoma SK-MEL-28 cell line. The model successfully generated new molecules with predicted improved efficacy in inhibiting tumour growth while being synthetically feasible. This represents a significant advancement over conventional generative models, which often produce molecules that are challenging or impossible to synthesize. Furthermore, TumFlow has also been utilized to optimize molecules known for their efficacy in clinical melanoma treatments. This led to the creation of novel molecules with a predicted enhanced likelihood of effectiveness against melanoma, currently undocumented on PubChem. Availability and Implementationhttps://github.com/drigoni/TumFlow. Supplementary informationUploaded.

bioinformatics↗