Biology subjects

Uren, A.

Publications and source records attributed to Uren, A..

5 recordsLinked to original sources

bioRxiv2026

First-in-Class Small Molecules Inhibit c-MET Activity Through Self-Regulatory Elements in Its Extracellular Domain

Aberrant HGF-c-MET signaling is a major driver of hepatocellular carcinoma (HCC) progression and a clinically validated therapeutic axis, but current inhibitors predominantly target the intracellular kinase domain and remain vulnerable due to limited selectivity and resistance development. We therefore pursued an upstream strategy based on small molecules that target the extracellular HGF-c-MET interaction interface. We combined large-scale virtual screening of more than one million compounds from the ChemDiv and Enamine libraries with molecular dynamics (MD) simulations, steered MD, MM/GBSA profiling, and iterative lead optimization to identify candidate c-MET inhibitors targeting its extracellular (EC) domain. In HGF-stimulated HuH7 cells, selected compounds suppressed c-MET autophosphorylation, reduced cell viability, and inhibited long-term colony formation. Surface plasmon resonance (SPR) further confirmed direct binding of L083-1287 and 8008-3424 to the recombinant c-MET ectodomain. Mechanistic analyses identified previously unrecognized hotspot residues on the c-MET EC domain and a novel inhibitory network spanning multiple c-MET ectodomain interfaces. L083-0077 displayed the most consistent interaction pattern within this framework, including stabilization of key hotspot residues and preserved binding under acidic conditions relevant to the tumor microenvironment. Zebrafish xenograft assays with selected early hit compounds revealed compound-dependent developmental liabilities supporting the use of this model as an early in vivo prioritization step during lead optimization. These findings establish EC interface-directed c-MET inhibition as a promising therapeutic strategy in HCC and provide a mechanism-guided platform for the development of selective, upstream c-MET inhibitors with the potential to complement or overcome limitations of kinase-directed therapies.

cancer biology↗

bioRxiv2025

Transcriptome-wide mapping reveals an RNA-dependent mechanism of platinum cancer drugs.

Off-target interactions frequently compromise the clinical utility of anticancer agents by driving dose-limiting toxicity and therapeutic resistance. Although RNA has been predicted to be an off-target for numerous FDA-approved drugs, the extent and functional significance of RNA off-targeting among anticancer small molecules remain poorly understood. Using a systematic drug-binding screen, we identified cisplatin, a frontline chemotherapeutic that acts canonically through DNA adduct formation, as a prominent RNA binder. We employed cisplatin as a model compound to characterize the mechanistic basis and functional impact of RNA-small molecule off-targeting. To map transcriptome-wide cisplatin-RNA interactions, we developed PlatRNA-seq, a click-chemistry-enabled RNA-binding profiling platform. Genomic and functional analyses reveal that cisplatin preferentially accumulates at RNA G-quadruplex (rG4) structures near 5' transcript ends, inducing R-loop formation. Critically, we demonstrate that cisplatin cytotoxicity is partially mediated through RNA binding, revealing a noncanonical mechanism of action. Collectively, these findings illustrate the functional consequences of RNA-small-molecule off-targeting and provide a generalizable framework for investigating small-molecule-RNA interactions, opening new avenues for therapeutic innovation.

molecular biology↗

bioRxiv2020

Epigenetic change induced by in utero dietary challenge provokes phenotypic variability across multiple generations of mice

Transmission of epigenetic information between generations occurs in nematodes, flies and plants, mediated by specialised small RNA pathways, histone H3K9me3, H3K27me3, H4K16ac and DNA methylation1-3. In higher vertebrates, epidemiological and experimental evidence supports similar trans-generational effects4,5 although the mechanisms that underpin these are incompletely understood6-9. We generated a luciferase reporter knock-in mouse for the imprinted Dlk1 locus, to visualise and track epigenetic fidelity across generations. We showed that exposure to high-fat diet (HFD) in pregnancy provokes sustained re-expression of the normally silent maternal Dlk1 allele in offspring, coincident with increased DNA methylation at the Dlk1 sDMR. Interestingly, maternal Dlk1 mis-expression was also evident in the next generation (F2), exclusively in animals derived from F1-exposed females. Oocytes from these females showed altered microRNA and gene expression, without any major changes in underlying DNA methylation, and correctly imprinted Dlk1 expression resumed in subsequent generations (F3 onwards). Our results reveal how canonical and non-canonical imprinting mechanisms enable the foetal epigenome to adapt to in utero challenge to modulate the properties of two successive generations of offspring.

developmental biology↗

bioRxiv2019

Galactose-modified duocarmycin prodrugs as senolytics

Senescence is a stable growth arrest that impairs the replication of damaged, old or preneoplastic cells, therefore contributing to tissue homeostasis. Senescent cells accumulate during ageing and are associated with diseases, such as cancer, fibrosis and many age-related pathologies. Recent evidence suggests that the selective elimination of senescent cells can be effective on the treatment of many of these senescence-associated diseases. A universal characteristic of senescent cells is that they display elevated activity of the lysosomal {beta}-galactosidase this has been exploited as a marker for senescence (senescence-associated {beta}-galactosidase activity). Consequently, we hypothesised that galactose-modified cytotoxic prodrugs will be preferentially processed by senescent cells, resulting in their selective killing. Here, we show that different galactose-modified duocarmycin (GMD) derivatives preferentially kill senescent cells. GMD prodrugs induce selective apoptosis of senescent cells in a lysosomal {beta}-galactosidase (GLB1)-dependent manner. GMD prodrugs can eliminate a broad range of senescent cells in culture, and treatment with a GMD prodrug enhances the elimination of bystander senescent cells that accumulate upon whole body irradiation or doxorubicin treatment of mice. Moreover, taking advantage of a mouse model of human adamantinomatous craniopharyngioma (ACP), we show that treatment with a GMD pro-drug result selectively reduced the number of {beta}-catenin-positive preneoplastic senescent cells, what could have therapeutic implications. In summary, the above results show that galactose-modified duocarmycin prodrugs behave as senolytics, suggesting that they could be used to treat a wide range of senescence-related pathologies.

cell biology↗

bioRxiv2017

Tracking Subclonal Mutation Frequencies Throughout Lymphomagenesis Identifies Cancer Drivers in Mouse Models of Lymphoma.

Determining whether recurrent but rare cancer mutations are bona fide driver mutations remains a bottleneck in cancer research. Here we present the most comprehensive analysis of retrovirus driven lymphomagenesis produced to date, sequencing 700,000 mutations from >500 malignancies collected at time points throughout tumor development. This enabled identification of positively selected events, and the first demonstration of negative selection of mutations that may be deleterious to tumor development indicating novel avenues for therapy. Customized sequencing and bioinformatics methodologies were developed to quantify subclonal mutations in both premalignant and malignant tissue, greatly expanding the statistical power for identifying driver mutations and yielding a high-resolution, genome wide map of the selective forces surrounding cancer gene loci. Screening two BCL2 transgenic models confirms known drivers of human B-cell non-Hodgkin lymphoma, and implicates novel candidates including modifiers of immunosurveillance such as co-stimulatory molecules and MHC loci. Correlating mutations with genotypic and phenotypic features also gives robust identification of known cancer genes independently of local variance in mutation density. An online resource http://mulv.lms.mrc.ac.uk allows customized queries of the entire dataset.

cancer biology↗