Biology subjects

Dunne, M.

Publications and source records attributed to Dunne, M..

14 recordsLinked to original sources

bioRxiv2026

TFAP2A links drug resistance to antitumor immunity

Combination targeted therapy with BRAF/MEK inhibitors and immune therapy show promising therapeutic outcomes in melanoma; however, the development of drug resistance still represents a formidable challenge. Remaining unexplored is the possibility that BRAF/MEK inhibitors themselves inadvertently compromise the tumor immune microenvironment, limiting the efficacy of immunotherapy when it is used in combination with targeted inhibitors. Herein, we profiled the landscape of the BRAF regulatome identifying a novel transcription factor, TFAP2A, newly linking BRAF/MEK drug resistance to antitumor immunity. Specifically, we found that BRAF/MEK inhibitors significantly upregulate TFAP2A. Further, genetic disruption of TFAP2A overcomes BRAF/MEK-inhibitor resistance, promotes stromal enrichment, and enhances intratumoral infiltration of macrophages in an immune-compromised mouse model. In a syngeneic mouse model, TFAP2a knockout not only suppresses tumor growth but also induces potent anti-tumor tertiary lymphoid structures (TLSs). Single cell transcriptomics revealed that the absence of TFAP2A shapes the antitumor microenvironment with an influx of M1-like macrophages, CD8+ T cells and mature dendritic cells. By identifying TFAP2A as a shared driver of both targeted therapy resistance and immunosuppression, our work offers a one-stone-two-bird strategy to overcome drug resistance and elicit antitumor immunity.

cancer biology↗

bioRxiv2026

Single-cell lineage tracing maps clonal and transcriptional dynamics in melanoma metastasis

Melanoma metastasis is driven by extensive intratumoral heterogeneity and phenotypic plasticity, yet how clonal identity relates to transcriptional programs during metastasis remains unclear. Here, we applied MeRLin, a single-cell lineage tracing platform, to dissect the clonal and transcriptional heterogeneity of metastatic melanoma in a patient-derived spontaneous metastasis model. Clonal analyses revealed hierarchical structures during tumor progression, with a subset of lineages from primary tumors consistently enriched across metastatic sites, supporting a model of polyclonal seeding followed by selective expansion of pre-existing highly metastatic subpopulations. Single-cell transcriptomic profiling identified two major metastatic subpopulations of distinct transcriptional programs, characterized by neural crest stem cell-like and lipid metabolism signatures. Both programs were enriched for invasion-associated genes and maintained across organs through distinct regulatory networks. Spatial mapping by barcode RNA-FISH linked these transcriptional states to their tissue context and showed that OLFML3 expression partially co-localized with a dominant subpopulation at the tumor-liver interface, marking the invasive fronts of metastatic growth. Together, these findings establish a framework in which clonal identity, transcriptional state, and spatial organization jointly shape metastatic melanoma progression.

cancer biology↗

bioRxiv2026

MYC-ATF4-ASS1 axis governs intracellular arginine synthesis and dictates the immune microenvironment in melanoma

Drug resistance is a major challenge for both targeted therapies and immunotherapies in cancer. Arginine starvation has proven a promising strategy to overcome recurrent tumors. However, key molecules involved and how immune responses are elicited are not well understood. Here we identify in melanoma cells MYC-ATF4-ASS1 signaling as a pathway, which not only governs intracellular arginine synthesis but also modulates antitumor immunity. ATF4 knockout in melanoma cells phenocopied ASS1 knockout in the same cells, both showing greater sensitivity to arginine depletors such as ADI-PEG20. A combination strategy of BRAF/MEK inhibitors and an arginine depletor shows significant therapeutic effects in a immune-compromised mouse model. Both Atf4 and Ass1 knockout melanomas exhibited enhanced infiltration of Cd8+ T cells and significantly reduced tumor growth in a syngeneic mouse model. Single cell transcriptomics profiled the reshaped tumor microenvironment and revealed that a subset of resident macrophages were reprogrammed by endogenous arginine blockade. Overall, our findings reveal that the MYC-ATF4-ASS1 axis not only controls arginine vulnerability of melanomas but also shapes the immune microenvironment.

cancer biology↗

bioRxiv2025

Clonal dynamics shaped by diverse drug-tolerant persister states in melanoma resistance

Most advanced melanomas initially respond to targeted therapy but eventually relapse. Rather than acquiring new mutations, resistance is driven by drug-tolerant persister cells that enter a reversible drug-refractory state. We developed MeRLin, a high-resolution lineage tracing platform integrating cellular barcoding, single-cell transcriptomics, RNA fluorescence in situ hybridization (FISH), and computational analyses to track clonal and transcriptional dynamics in patient-derived melanoma models during prolonged therapy. Clonal dynamics revealed that persister subpopulations first responded to treatment but persisted and expanded during minimal residual disease, ultimately leading to tumor recurrence. Pre-treatment melanoma populations diversified into four conserved persister states characterized by stress-like, lipid metabolism, PI3K signaling, and extracellular matrix remodeling programs associated with adaptive resistance. Spatial transcriptomics showed the organization of these adaptive programs and a complex signaling network of autocrine and paracrine interactions among persister subpopulations. Barcoded RNA-FISH enabled spatial mapping of clonal identity and gene expression, revealing in situ co-localization of a dominant resistant clone with SLC2A1 expression. MeRLin provides a robust framework for dissecting cancer heterogeneity and identifying vulnerabilities in persister populations.

cancer biology↗

bioRxiv2025

SpaceBar enables clone tracing in spatial transcriptomic data

We report a cellular barcoding strategy, SpaceBar, that enables simultaneous clone tracing and spatial transcriptomics profiling. Our approach uses a library of 96 synthetic barcode sequences that can be robustly detected by imaging based spatial transcriptomics (seqFISH), delivered such that each cell is labeled with a combination of barcodes. We used these barcodes to label melanoma cells in a tumor xenograft model and profiled both clone identity and spatial gene expression in situ. We developed a gene scoring metric that quantifies how strongly gene expression is driven by intrinsic cellular cues or extrinsic environmental signals. Our framework distinguishes between clonal dynamics and environmentally-driven transcriptional regulation in complex tissue contexts.

genomics↗

bioRxiv2024

Ranking protein-peptide binding affinities with protein language models

In this study we explore the use of protein language models for ranking protein-peptide interaction strength, extending the concept of binary protein interaction classification. We introduce a method that measures and ranks protein binding affinities in an unsupervised manner, eliminating the need for extensive labeled data, structural information, or complex biochemical features. We demonstrate the utility of our approach across five distinct protein-peptide datasets by comparing predicted interaction strength rankings with experimentally derived inhibitory concentration (IC50) values. Furthermore, we discuss limitations encountered during our study and present preliminary findings on extending our approach to more general protein-protein interactions. Finally, we highlight the need for comprehensive datasets specifically designed for ranking protein-protein interactions.

bioinformatics↗

bioRxiv2024

Unlocking hidden phage diversity to complete the BASEL collection for systematic exploration of phage-host interactions

Research on bacteriophages, the viruses infecting bacteria, has fueled the development of modern molecular biology and inspired their therapeutic application to combat bacterial multidrug resistance. However, most work has so far focused on a few model phages which impedes direct applications of these findings in clinics and suggests that a vast potential of powerful molecular biology has remained untapped. We have therefore recently composed the BASEL collection of Escherichia coli phages (BActeriophage SElection for your Laboratory) which made a relevant diversity of phages infecting the E. coli K-12 laboratory strain accessible to the community. These phages are widely used, but their assorted diversity had remained limited by the E. coli K-12 host. We have therefore now genetically overcome the two major limitations of E. coli K-12, its lack of O-antigen glycans and the presence of resident bacterial immunity. Restoring O-antigen expression resulted in the isolation of diverse additional viral groups like Kagunavirus, Nonanavirus, Gordonclarkvirinae, and Gamaleyavirus, while eliminating all known antiviral defenses of E. coli K-12 additionally enabled us to isolate phages of Wifcevirus genus. Even though some of these viral groups appear to be common in nature, no phages from any of them had previously been isolated using E. coli laboratory strains and they had thus remained largely understudied. Overall, 37 new phage isolates have been added to complete the BASEL collection. These phages were deeply characterized genomically and phenotypically with regard to host receptors, sensitivity to antiviral defense systems, and host range. These results highlighted dominant roles of the O-antigen barrier for viral host recognition and of restriction-modification systems in bacterial immunity. We anticipate that the completed BASEL collection will propel research on phage-host interactions and their molecular mechanisms, deepening our understanding of viral ecology and fostering innovations in biotechnology and antimicrobial therapy.

microbiology↗

bioRxiv2024

Heterodimerization of Endolysin Isoforms During Bacterial Infection by Staphylococcal Phage {varphi}2638A

AO_SCPLOWBSTRACTC_SCPLOWBacteriophage endolysins targeting Gram-positive bacteria typically feature a modular architecture of one or more enzymatically active domains (EADs) and cell wall binding domains (CBDs). Several endolysins also feature internal translational start sites (iTSSs) that produce short variant (SV) isoforms alongside the full-length (FL) endolysin. While the lytic activity of endolysins and their isoforms has been extensively studied as exogenous agents, the purpose behind producing the SV isoform during the phage infection cycle remains to be explored. In this study, we used staphylococcal phage {varphi}2638A as a model to determine the interplay between its full-length endolysin, Ply2638A, and its SV isoform during phage infection. X-ray crystallography structures and AlphaFold-generated models enabled elucidation of individual functions of the M23 endopeptidase, central amidase, and SH3b domains of Ply2638A. Production of the SV isoform (amidase and SH3b) was confirmed during phage infection and shown to form a heterodimer complex with Ply2638A via inter-amidase domain interactions. Using genetically engineered phage variants, we show that production of both isoforms provides an advantage during phage infection as phages producing only one isoform presented impaired lytic activity, which could be partly restored through recombinant protein complementation of the missing isoform. Importantly, when applied as an antimicrobial protein against Staphylococcus aureus in culture, the activity of Ply2638A remained constant regardless of SV isoform complementation. Drawing from our findings, we propose that SV isoform production provides its biological advantage upon endolysin entry to the periplasmic space to ensure optimal peptidoglycan degradation prior to cell wall lysis and progeny phage release.

molecular biology↗

bioRxiv2023

Nanoscale clustering by O-antigen-Secretory Immunoglobulin-A binding limits outer membrane diffusion by encaging individual Salmonella cells

Secreted immunoglobulins, predominantly SIgA, influence the colonization and pathogenicity of mucosal bacteria. While part of this effect can be explained by SIgA-mediated bacterial aggregation, we have an incomplete picture of how SIgA binding influences cells independently of aggregation. Here we show that akin to microscale crosslinking of cells, SIgA targeting the Salmonella Typhimurium O-antigen extensively crosslinks the O-antigens on the surface of individual bacterial cells at the nanoscale. This crosslinking results in an essentially immobilized bacterial outer membrane. Membrane immobilization, combined with Bam-complex mediated outer membrane protein insertion results in biased inheritance of IgA-bound O-antigen, concentrating SIgA-bound O-antigen at the oldest poles during cell growth. By combining empirical measurements and simulations, we show that this SIgA-driven biased inheritance increases the rate at which phase-varied daughter cells become IgA-free: a process that can accelerate IgA escape via phase-variation of O-antigen structure. Our results show that O-antigen-crosslinking by SIgA impacts workings of the bacterial outer membrane, helping to mechanistically explain how SIgA may exert aggregation-independent effects on individual microbes colonizing the mucosae.

microbiology↗

bioRxiv2023

A host recognition module shared among distant Alteromonas bacteriophage families features tail fibers with transient chaperone caps

The host recognition modules encoding the injection machinery and receptor binding proteins (RBPs) of bacteriophages are variable genomic units predisposed to mutation and recombination to maintain infectivity toward co-evolving bacterial hosts. In this study, we reveal how Alteromonas mediterranea schitovirus A5 shares its host recognition module, including tail fiber (TF) and cognate chaperone, with phages from distantly related families including Alteromonas myovirus, V22. While the chaperone of V22 is essential for producing active TFs, here we demonstrate production of functional A5 TFs regardless of chaperone co-expression. AlphaFold-generated models of TF and chaperone pairs from phages A5, V22, and other Alteromonas phages reveal how amino acid insertions within both A5-like proteins results in a knob domain duplication in the TF and a {beta}-hairpin "tentacle" extension of the chaperone. These structural modifications are linked to chaperone dependency differences between the A5 and V22 TFs. Structural similarity between the chaperones and intramolecular chaperone domains of other phage RBPs suggests an additional function of these chaperones as transient TF "caps". Finally, our identification of homologous host recognition modules used by morphologically distinct phages implies that HGT and recombination events between unrelated phages may be a more common process than previously thought among Caudoviricetes phages.

microbiology↗

bioRxiv2022

Engineered reporter phages for rapid detection of Escherichia coli, Klebsiella spp., and Enterococcus spp. in urine

The rapid detection and species-level differentiation of bacterial pathogens facilitates antibiotic stewardship and improves disease management. Here, we develop a rapid bacteriophage-based diagnostic assay to detect the most prevalent pathogens causing urinary tract infections: Escherichia coli, Klebsiella spp., and Enterococcus spp. For each uropathogen, two virulent phages were genetically engineered to express a nanoluciferase reporter gene upon host infection. Using 206 patient urine samples, reporter phage-induced bioluminescence was quantified to identify bacteriuria and the assay was benchmarked against conventional urinalysis. Overall, E. coli, Klebsiella spp., and Enterococcus spp. were each detected with high sensitivity (68%, 78%, 85%), specificity (99%, 99%, 99%), and accuracy (90%, 94%, 96%) at a resolution of [>=]103 CFU/ml within 5 h. We further demonstrate how bioluminescence in urine can be used to predict phage antibacterial activity, demonstrating the future potential of reporter phages as companion diagnostics that guide patient-phage matching prior to therapeutic phage application.

microbiology↗

bioRxiv2022

Enhancing bacteriophage therapeutics through in situ production and release of heterologous antimicrobial effectors

Bacteriophages operate via pathogen-specific mechanisms of action distinct from conventional, broad-spectrum antibiotics and are emerging as promising alternatives. However, phage-mediated killing is often limited by bacterial resistance development (1,2). Here, we engineer phages for target-specific effector gene delivery and host-dependent production of colicin-like bacteriocins and cell wall hydrolases. Using urinary tract infection (UTI) as a model, we show how heterologous effector phage therapeutics (HEPTs) suppress resistance and improve uropathogen killing by dual phage- and effector-mediated targeting. Moreover, we designed HEPTs to control polymicrobial uropathogen communities through production of effectors with cross-genus activity. Using a phage-based companion diagnostic (3), we identified potential HEPT responder patients and treated their urine ex vivo. Compared to wildtype phage, a colicin E7-producing HEPT demonstrated superior control of patient E. coli bacteriuria. Arming phages with heterologous effectors paves the way for successful UTI treatment and represents a versatile tool to enhance and adapt phage-based precision antimicrobials.

bioengineering↗

bioRxiv2020

Molecular basis for recognition of Listeria cell wall teichoic acid by the pseudo-symmetric SH3b-like repeats of a bacteriophage endolysin

Endolysins are bacteriophage-encoded peptidoglycan hydrolases targeting the cell wall of host bacteria via their cell wall-binding domains (CBDs). The molecular basis for selective recognition of surface carbohydrate ligands by CBDs remains elusive. Here, we describe, in atomic detail, the interaction between the Listeria phage endolysin domain CBD500 and its cell wall teichoic acid (WTA) ligands. We show that 3 O-acetylated GlcNAc residues integrated into the WTA polymer chain are the key epitope recognized by a CBD binding cavity located at the interface of tandem copies of beta-barrel, pseudo-symmetric SH3b-like repeats. This cavity consists of multiple aromatic residues making extensive interactions with two GlcNAc acetyl groups via hydrogen bonds and van der Waals contacts, while permitting the docking of the diastereomorphic ligands. The multidisciplinary approach described here delineates a previously unknown recognition mechanism by which a phage endolysin specifically recognizes and targets WTA, suggesting an adaptable model for regulation of endolysin specificity.

biophysics↗

bioRxiv2017

OMGene: Mutual improvement of gene models through optimisation of evolutionary conservation

BackgroundThe accurate determination of the genomic coordinates for a given gene - its gene model - is of vital importance to the utility of its annotation, and the accuracy of bioinformatic analyses derived from it. Currently-available methods of computational gene prediction, while on the whole successful, often disagree on the model for a given predicted gene, with some or all of the variant gene models failing to match the biologically observed structure. Many prediction methods can be bolstered by using experimental data such as RNA-seq and mass spectrometry. However, these resources are not always available, and rarely give a comprehensive portrait of an organisms transcriptome due to temporal and tissue-specific expression profiles.\n\nResultsOrthology between genes provides evolutionary evidence to guide the construction of gene models. OMGene (Optimise My Gene) aims to optimise gene models in the absence of experimental data by optimising the derived amino acid alignments for gene models within orthogroups. Using RNA-seq data sets from plants and fungi, considering intron/exon junction representation and exon coverage, and assessing the intra-orthogroup consistency of subcellular localisation predictions, we demonstrate the utility of OMGene for improving gene models in annotated genomes.\n\nConclusionsWe show that significant improvements in the accuracy of gene model annotations can be made in both established and de novo annotated genomes by leveraging information from multiple species.

genomics↗