Biology subjects

Iloro, I.

Publications and source records attributed to Iloro, I..

5 recordsLinked to original sources

bioRxiv2025

Loss of UFMylation supports prostate cancer metastasis and rewires cell metabolism towards hexosamine biosynthesis

The acquisition of metastatic features in tumor cells encompasses genetic and non-genetic adaptation, including reprogramming of cellular metabolism. Here we show that loss of UFMylation reroutes glucose metabolism, promotes invasive capacity and supports prostate cancer metastasis. Through transcriptome-based bioinformatics analysis, we identified a reduction in the ubiquitin-like modifier UFM1 and its ligase UFL1 in metastatic prostate cancer. We demonstrate that loss of UFMylation results in enhanced cancer cell dissemination and a switch from cellular proliferation to invasion. Using biotin-based proteomics, we identified phosphofructokinase (PFKAP) as an unprecedented UFMylation substrate. Consistent with UFMylation playing a role in the regulation of phosphofructokinase activity, loss of UFMylation reduced glucose metabolism in favour of hexosamine biosynthesis, which resulted in elevated glycosylation of proteins relevant for cell invasion. These results reveal a role for UFMylation in the regulation of phosphofructokinase and glucose metabolism to support prostate cancer metastasis.

cancer biology↗

bioRxiv2025

Cullin-RING ligase BioE3 reveals molecular-glue-induced neosubstrates and rewiring of the endogenous Cereblon ubiquitome

BackgroundThe specificity of the ubiquitination process is mediated by the E3 ligases. Discriminating genuine substrates of E3s from mere interacting proteins is one of the major challenges in the field. We previously developed BioE3, a biotin-based approach that uses BirA-E3 fusions together with ubiquitin fused to a low-affinity AviTag to obtain a site-specific and proximity-dependent biotinylation of the substrates. We proved the suitability of BioE3 to identify targets of RING and HECT-type E3 ligases. MethodsBioE3 experiments were performed in HEK293FT and U2OS stable cell lines expressing TRIPZ-bioGEFUb transiently transfected with BirA-cereblon (CRBN). Cells were seeded using biotin-free media, adding a short-biotin pulse. We evaluated the applicability of the BioE3 system to CRBN and molecular glues by western blot and confocal microscopy, blocking the proteasome with bortezomib, inhibiting NEDDylation with MLN4924 and treating the cells with pomalidomide. For the identification of endogenous substrates and neosubstrates we analyzed the eluates of streptavidin pull-downs of BioE3 experiments by LC-MS/MS. Analysis of targets which ubiquitination changes significantly upon treatment was done using two-sided Students t-test. Orthogonal validations were performed by histidine pull-down, GFP-trap and computational modelling. ResultsHere we demonstrate that BioE3 is suitable for the multi-protein complex Cullin-RING E3s ligases (CRLs), the most utilized by targeted protein degradation strategies. Choosing CRBN as proof of concept, one of the substrate receptors of CRL4 E3 ligase, we identified both endogenous substrates and novel neosubstrates upon pomalidomide treatment, including CSDE1 which contains a G-loop motif potentially involved in the binding to CRBN in presence of pomalidomide. Importantly, we observed a major rearrangement of the endogenous ubiquitination landscape upon treatment with this molecular glue. ConclusionsThe ability of BioE3 to detect and compare both substrates and neosubstrates, as well as how substrates change in response to treatments, will facilitate both target and off-target identifications and offer a broader characterization and validation of targeted protein degradation degraders, like molecular glues and PROTACs.

cell biology↗

bioRxiv2023

Thermodynamic Stabilization of Human Frataxin

Recombinant proteins and antibodies are routinely used as drugs to treat prevalent diseases such as diabetes or cancer, while enzyme replacement and gene therapies are the main therapeutic intervention lines in rare diseases. In protein-based therapeutics, optimized in vivo stability is key as intrinsic denaturation and intracellular proteostatic degradation will limit potency, particularly in treatments requiring a sustained action, while clearance mechanisms may limit the amount of circulating protein. In vivo stability is ultimately correlated with the intrinsic thermodynamic stability of the biomolecule, but this is difficult to optimize because it often goes at the expense of reducing protein activity. Here, we have used in silico engineering approaches to thermodynamically stabilize human frataxin, a small mitochondrial protein that acts as an allosteric activator for the biosynthesis of Fe-S clusters, whose genetically-driven impairment results in a rare disease known as Friedreich ataxia. Specifically, we developed an efficient thermostability engineering computational approach that combines information on amino acid conservation, the Rosetta energy function, and two recent artificial intelligence tools - AlphaFold and ProteinMPNN - to produce thermodynamically stabilized variants of human frataxin. Such protein variants rescued the large destabilization exerted by well-known pathological mutations, with an increase over 20 {degrees}C in the melting temperature and a thermodynamic stabilization of more than 3 kcal{middle dot}mol-1 at the physiological temperature. This stability surplus is translated into an enhanced resistance to proteolysis, while maintaining the protein fully functional. This case-study highlights the power of our combined computational approach to generate optimized variants, adequate for protein-based therapeutics.

biophysics↗

bioRxiv2023

BioE3 enables the identification of bona fide targets of E3 ligases

The post-translational modification of proteins by ubiquitination is a highly regulated process that involves a dynamic, three-step enzymatic cascade, where more than 600 E3 ligases play a critical role in recognizing specific substrates for modification. Separating bona fide targets of E3s from E3-interacting proteins remains a major challenge in the field. In this study, we present BioE3, a novel approach for identifying substrates of ubiquitin-like (UbL) E3 ligases of interest. Using BirA-E3 ligase fusion proteins and bioUbLs, the method facilitates site-specific biotinylation of UbL-modified substrates of particular E3s for proteomic identification. We demonstrate that the BioE3 system can identify both known and novel targets of two RING-type ubiquitin E3 ligases: RNF4, known to be involved in DNA damage response and the regulation of PML nuclear bodies, and MIB1, implicated in endocytosis, autophagy, and centrosomal protein homeostasis. We further show the versatility of BioE3 by identifying targets of an organelle-specific E3 (MARCH5) and a relatively uncharacterized E3 (RNF214). Furthermore, we show that BioE3 works with HECT-type E3 ligases and identify novel targets of NEDD4 involved in vesicular trafficking. BioE3 is a powerful tool that enables identification of bona fide substrates of UbL E3 ligases and how they change with chemical perturbations. BioE3 may also be applicable for UbLs beyond Ub and SUMO, as well as other E3 ligase classes. The resulting knowledge can shed light on the regulation of cellular processes by the complex UbL network and provide information useful for strategies such as targeted protein degradation (TPD), advancing our understanding of fundamental biological mechanisms and their applications.

cell biology↗

bioRxiv2020

Identification of proximal SUMO-dependent interactors using SUMO-ID

The fast dynamics and reversibility of posttranslational modifications by the ubiquitin family pose significant challenges for research. Here we present SUMO-ID, a technology that merges proximity biotinylation by TurboID and protein-fragment complementation to find SUMO-dependent interactors of proteins of interest. We developed an optimized split-TurboID version and show SUMO interaction-dependent labelling of proteins proximal to PML and RANGAP1. SUMO-dependent interactors of PML are involved in transcription, DNA damage, stress response and SUMO modification and are highly enriched in SUMO Interacting Motifs, but may only represent a subset of the total PML proximal proteome. Likewise, SUMO-ID also allowed us to identify novel interactors of SUMOylated SALL1, a less characterized SUMO substrate. Thus, SUMO-ID is a powerful tool that allows to study the consequences of SUMO-dependent interactions, and may further unravel the complexity of the ubiquitin code.

biochemistry↗