Biology subjects

Tavernier, J.

Publications and source records attributed to Tavernier, J..

10 recordsLinked to original sources

bioRxiv2026

A novel tumor-targeted interferon-α/-β receptor 1 antagonist increases replication of oncolytic vesicular stomatitis virus in a mouse mesothelioma model

Type I Interferons (IFN-I) are cytokines with pleiotropic activities involved in antiviral and antitumor immune responses. They can reduce oncolytic virus replication in tumor cells by inducing expression of interferon stimulated genes (ISG) with antiviral functions. To specifically neutralize the IFN-/-{beta} receptor (IFNAR) on specific cell types, we created novel IFNAR1-targeted antagonists constituted of a high-affinity nanobody targeting a specific cell surface marker conjugated to a low-affinity blocking nanobody targeting IFNAR1. We first show in vitro and in vivo that such an antagonist targeting the mouse CD20 molecule (mCD20) inhibits IFNAR signaling only in B cells among splenocytes. We then showed in vitro that a human CD20 (hCD20)-targeted antagonist blocks IFNAR signaling and induces vesicular stomatitis virus (VSV) oncolytic activity against IFN-11-treated AK7 mesothelioma or B16 melanoma cells only if these cells express hCD20. In vivo, we show that the antagonist binds to hCD20 and enhances VSV replication by inhibiting ISG expression specifically in hCD20+ AK7 mesothelioma tumors. Altogether our results demonstrate the efficient and cell-type specific inhibition of IFNAR signaling through the use of these novel IFNAR1 antagonists, both in vitro and in vivo. These antagonists could have many therapeutic applications given the importance of IFN-I in numerous diseases. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=124 SRC="FIGDIR/small/729496v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@4e76b6org.highwire.dtl.DTLVardef@153c39borg.highwire.dtl.DTLVardef@4f0948org.highwire.dtl.DTLVardef@ea8d85_HPS_FORMAT_FIGEXP M_FIG C_FIG eTOC synopsisIn this study, we created cell-specific IFNAR antagonists that allow to inhibit selectively IFNAR signaling in particular types of cell. We show that this antagonist can be used to target IFNAR at the surface of tumor cells that lead to the inhibition of IFNAR signaling and ISG expression in these cells rendering them more permissive to VSV replication. Beside antitumor virotherapy, these novel antagonist could be useful to study role of IFN-I in normal or pathological context.

immunology↗

bioRxiv2026

Dynamic engagement of dual-role regulators by the Sin3 complex

Gene expression is governed by dynamic switches between repressive and activating transcriptional states1,2. Among the molecules mediating these transitions, chromatin readers and transcription factors play pivotal roles3,4. However, how they assemble with regulatory machineries to enable crosstalk between gene repression and activation remains unknown. Here, we use an integrative structural dynamics approach - combining cryo-EM, crosslinking mass spectrometry, fragment-resolved protein interactome mapping and crystallography - to show how the dual-role chromatin reader Cti6 and transcription factors Ash1 and Ume6 engage the Sin3 deacetylase complex, a major regulatory hub in eukaryotes5. We find that Cti6 competes with Ash1 to drive its dynamic recruitment to a shared peripheral module, while Ume6 engages the Sin3 scaffold through a defined, minimal interface. Using high-throughput mutational scanning, we reveal deleterious and gain-of-function mutations in Sin3, identifying evolutionarily conserved residues essential for anchoring transcription factors. Together, these results provide structural and functional insights into how dual-role regulators engage the central Sin3 complex, revealing subtle assembly principles that may facilitate crosstalk between gene repression and activation. They also establish an integrative multidisciplinary framework to dissect the dynamics of macromolecular assemblies across biological systems.

molecular biology↗

bioRxiv2024

Cell-surface receptor-mediated regulation of synaptic organelle distribution controls dendritic spine maturation

The spine apparatus (SA), an endoplasmic reticulum-related organelle present in a subset of mature dendritic spines, plays a key role in postsynaptic development and has been implicated in various neurological disorders. However, the molecular mechanisms that dictate SA localization at selected synapses remain elusive. Here, we identify a postsynaptic signaling complex comprising the GPCR-like receptor GPR158 and a largely uncharacterized phospholipase C (PLC), PLCXD2, that controls SA abundance. Sparse genetic manipulations in vivo demonstrate that in the absence of GPR158, unrestrained PLCXD2 activity impedes postsynaptic SA incorporation and hampers dendritic spine maturation. Finally, we show that extracellular heparan sulfate proteoglycan (HSPG) binding modulates the GPR158-PLCXD2 interaction. Together, our findings reveal how a postsynaptic receptor signaling complex regulates the local lipid microenvironment to control SA abundance required for the proper maturation of dendritic spines.

neuroscience↗

bioRxiv2024

Crosstalk interactions between transcription factors ERRalpha and PPARalpha assist PPARalpha-mediated gene expression

The peroxisome proliferator-activated receptor (PPAR) is a crucial transcription factor governing genes associated with fatty acid {beta}-oxidation. How various interacting proteins modulate PPARs transcriptional function remains incompletely understood. Employing an unbiased mammalian protein-protein interaction trap with liganded PPAR as bait, we identified an interaction with the orphan nuclear receptor estrogen-related receptor (ERR). Random mutagenesis scanning of PPARs ligand-binding domain and coregulator profiling experiments implicated bridging coregulators, while in vitro studies suggested a trimeric interaction involving RXR. The PPAR{middle dot}ERR interaction, dependent on three C-terminal residues within ERRs helix 12, was reinforced by PGC1 and serum deprivation. Pharmacological inhibition of ERR reduced its interaction with ligand-activated PPAR, revealing a transcriptome indicative of ERR functioning as a transcriptional repressor on prototypical PPAR target genes. Intriguingly, ERR exhibited opposite behavior on other PPAR targets, including the isolated PDK4 enhancer. Chromatin immunoprecipitation analyses demonstrated PPAR ligand-dependent recruitment of ERR onto specific chromatin regions where PPAR binds in mouse livers. These findings highlight intricate transcriptional crosstalk mechanisms between PPAR and ERR, suggesting a multi-layered regulatory network fine-tuning PPARs activity as a nutrient-sensing transcription factor.

molecular biology↗

bioRxiv2023

Knocking out CD70 rescues CD70-specific nanoCAR T cells from antigen induced exhaustion

CD70 is an attractive target for chimeric antigen receptor (CAR) T cell therapy as treatment for both solid and liquid malignancies. However, functionality of CD70-specific CARs is only modest. Here, we optimized a CD70-specific VHH based CAR (nanoCAR). We evaluated the nanoCARs in clinically relevant models in vitro, using co-cultures of CD70-specific nanoCAR T cells with malignant rhabdoid tumor organoids, and in vivo by using a diffuse large B cell lymphoma (DLBCL) patient-derived xenograft (PDX) model. Whereas the nanoCAR T cells were highly efficient in organoid co-cultures, they showed only modest efficacy in the PDX model. Knocking out CD70 expression by the nanoCAR T cells resulted in dramatically enhanced functionality in the PDX model, suggesting that endogenous CD70 interaction with the nanoCAR induces exhaustion. Through single-cell transcriptomics, we obtained evidence that CD70KO CD70-specific nanoCAR T cells are protected from antigen induced exhaustion. Our data shows that CARs targeted to endogenous T cell antigens, negatively affect CAR T cell functionality by inducing an exhausted state which can be overcome by knocking out the specific target, in this case CD70.

immunology↗

bioRxiv2022

Expanding the HDAC druggable landscape beyond enzymatic inhibition

Enzymatic pockets such as those of histone deacetylases (HDACs) are among the most favored targets for drug development. However, enzymatic inhibitors often exhibit low selectivity and high toxicity due to targeting multiple enzyme paralogs, which are often involved in distinct multisubunit complexes. Here, we report the discovery and characterization of a non-enzymatic small molecule inhibitor of HDAC transcriptional repression functions with comparable anti-tumor activity to the enzymatic HDAC inhibitor Vorinostat, and anti-psychedelic activity of an HDAC2 knockout in vivo. We highlight that these phenotypes are achieved while modulating the expression of 20- and 80-fold fewer genes than enzymatic and genetic inhibition in the respective models. Thus, by achieving the same biological outcomes as established therapeutics while impacting a dramatically smaller number of genes, inhibitors of protein-protein interactions can offer important advantages in improving the selectivity of epigenetic modulators. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/519454v2_ufig1.gif" ALT="Figure 1"> View larger version (96K): org.highwire.dtl.DTLVardef@3a4e68org.highwire.dtl.DTLVardef@1f1be2corg.highwire.dtl.DTLVardef@1fc5e94org.highwire.dtl.DTLVardef@1a54790_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2022

Mechanism of receptor assembly via the pleiotropic adipokine Leptin

The adipokine Leptin activates its type I cytokine receptor (LEP-R) in the hypothalamus to regulate body weight and exerts additional pleiotropic functions in immunity, fertility, and cancer. However, the structure and mechanism of Leptin-mediated LEP-R assemblies has remained unclear. Here, we show that Leptin:LEP-R assemblies adopt an unprecedented structure within the type I cytokine receptor family featuring 3:3 stoichiometry. We validate Leptin-induced trimerization of LEP-R in the plasma membrane of living cells via multicolor single molecule microscopy. In mediating such assemblies Leptin undergoes drastic restructuring that activates its site III for binding to the Ig-domain of an adjacent LEP-R molecule in the complex. These interactions are abolished by pathological mutations linked to obesity. Collectively, our study uncovers an evolutionarily conserved Leptin:LEP-R assembly as a new mechanistic blueprint for Leptin-mediated signaling in physiology and disease, including insights into how the lowly abundant signaling-competent isoforms of LEP-R can productively participate in signaling.

molecular biology↗

bioRxiv2022

Next-generation large-scale binary protein interaction network for Drosophila

Generating reference maps of the interactome networks underlying most cellular functions can greatly illuminate genetic studies by providing a protein-centric approach to finding new components of existing pathways, complexes, and processes. Here, we applied state-of-the-art experimental and bioinformatics methods to identify high-confidence binary protein-protein interactions (PPIs) for Drosophila melanogaster. We performed four all-by-all yeast two-hybrid (Y2H) screens of >10,000 Drosophila proteins, resulting in the FlyBi dataset of 8,723 PPIs among 2,939 proteins. As part of this effort, we tested subsets of our data and data from previous PPI datasets using an orthogonal assay, which allowed us to normalize data quality across datasets. Next, we integrated our FlyBi data with previous PPI data, resulting in an expanded, high-confidence binary Drosophila reference interaction network, DroRI, comprising 17,232 interactions among 6,511 proteins. These data are accessible through the Molecular Interaction Search Tool (MIST) and other databases. To assess the utility of the PPI resource, we used novel interactions from the FlyBi dataset to generate an autophagy interaction network that we validated in vivo using two different autophagy-related assays. We found that deformed wings (dwg) encodes a protein that is both a regulator and a target of autophagy. Altogether, the resources generated in this project provide a strong foundation for building high-confidence new hypotheses regarding protein networks and function.

cell biology↗

bioRxiv2021

Binary Interactome Models of Inner- Versus Outer-Complexome Organization

Hundreds of different protein complexes that perform important functions across all cellular processes, collectively comprising the "complexome" of an organism, have been identified1. However, less is known about the fraction of the interactome that exists outside the complexome, in the "outer-complexome". To investigate features of "inner"- versus outer-complexome organisation in yeast, we generated a high-quality atlas of binary protein-protein interactions (PPIs), combining three previous maps2-4 and a new reference all-by-all binary interactome map. A greater proportion of interactions in our map are in the outer-complexome, in comparison to those found by affinity purification followed by mass spectrometry5-7 or in literature curated datasets8-11. In addition, recent advances in deep learning predictions of PPI structures12 mirror the existing experimentally resolved structures in being largely focused on the inner complexome and missing most interactions in the outer-complexome. Our new PPI network suggests that the outer-complexome contains considerably more PPIs than the inner-complexome, and integration with functional similarity networks13-15 reveals that interactions in the inner-complexome are highly detectable and correspond to pairs of proteins with high functional similarity, while proteins connected by more transient, harder-to-detect interactions in the outer-complexome, exhibit higher functional heterogeneity.

systems biology↗

bioRxiv2019

Towards an ″assayome″ for binary interactome mapping

Complementary assays are required to comprehensively map complex biological entities such as genomes, proteomes and interactome networks. However, how various assays can be optimally combined to approach completeness while maintaining high precision often remains unclear. Here, we propose the concept of an "assayome" for binary protein-protein interaction (PPI) mapping as an optimal combination of assays and/or assay versions that maximizes detection of true positive interactions, while avoiding detection of random protein pairs. We engineered a novel NanoLuc two-hybrid (N2H) system that integrates 12 different versions differing by protein expression systems and tagging configurations. The resulting N2H assayome recovers as many PPIs as 10 distinct assays combined. Thus, to further improve PPI mapping, developing alternative versions of existing assays might be as productive as designing completely new assays. Our assayome concept should be applicable to systematic mapping of other biological landscapes.

systems biology↗