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Trave, G.

Publications and source records attributed to Trave, G..

14 recordsLinked to original sources

A quantitative interactome map reveals affinity tailored hijacking of human cellular functions by resident and pathogenic bacteria

Bacteria employ molecular mimicry to hijack host cellular functions for their own benefit. Despite the wealth of data mapping human-bacteria interactions, a comprehensive view of how these networks are fine-tuned remains elusive. In particular, there have been no large-scale screenings measuring human-bacterial protein-protein binding affinities to explore their role in functional and pathological outcomes. Here, we report the largest quantitative interactome to date between the family of human PDZ domains and C-terminal PDZ-binding motifs (PBMs) in effectors from pathogenic and resident gut bacteria. We show that bacteria tailor effector sequences to bind PDZ domains with similar or higher binding affinities than human PBMs to hijack their associated cellular functions. For a subset of the dataset, we validate PDZ-PBM interactions with the corresponding full-length proteins and show that for pathogenic E. coli effector NleA, its C-terminal PBM is necessary for interactions with proteins involved in intracellular transport and membrane organization, probably impacting the host glycocalyx to favor infection. Finally, we show that motifs overlapping with effector PBMs target interaction modules other than PDZ domains, adding an additional layer of complexity to the host-microbe molecular dialogue.

systems biology↗

Interdependent androgen and glucocorticoid receptor signalling shapes prostate epithelial homeostasis

Androgen signalling is essential for prostate secretory functions and epithelial cell maintenance, yet how this signal is translated into a transcriptional output remains poorly understood. Androgens functions are primarily mediated by the androgen receptor (AR), which binds hormone response elements similar to those of other steroid receptors, including the glucocorticoid receptor (GR). Here we show that AR and GR are co-expressed in the prostate epithelium, and co-located within nuclear foci. Moreover, GR promotes the formation and dynamics of AR nuclear condensates, and heterodimerizes with AR in a ligand-binding domain-dependent manner. In addition, subtle variations within the hormone response element sequence direct the co-recruitment of AR and GR into activator or repressor complexes to activate or repress gene expression. Finally, prostate-specific deletion of GR in mice disrupts AR nuclear distribution, impairs AR-dependent gene networks involved in epithelial maintenance, and promotes the expression of genes involved in metabolism and cell cycle, resulting in altered tissue homeostasis. Thus, these findings identify GR as an integral component of the AR transcriptional machinery in epithelial cells of the healthy prostate, and reveal how shared cis-regulatory elements are interpreted to generate distinct transcriptional outcomes.

cell biology↗

Identification and quantitative characterization of protein-DNA interactions with the native holdup assay: GATA1 regulation of the plasma membrane calcium pump

GATA1 is a crucial transcription factor involved in hematopoiesis, and mutations in this gene are linked to severe hematological disorders, including anemia, thrombocytopenia, Down-syndrome related transient abnormal myelopoiesis (DS-TAM) and acute megakaryocytic leukemia (DS- AMKL). Despite significant clinical interest in the molecular level characterization of GATA1 mutations, a comprehensive understanding of their impact on DNA binding is limited. Efforts to conduct detailed studies on full-length recombinant GATA1 have faced significant technical challenges, while alternative approaches are limited by low throughput or qualitative nature. Here, we introduce a native holdup (nHU) assay designed to systematically quantify DNA-protein interactions and suitable for studying the impact of transcription factor mutations on DNA-binding affinity. First, we demonstrate, using the erythroid-specific ATP2B4 promoter as a model, that nHU can capture sequence-specific interactions and detect even subtle differences in DNA binding affinities of GATA1. Then, we quantitatively characterize the impact of pathological mutations on DNA binding affinities in the context of full-length human GATA1. Our findings reveal that the short isoform, lacking the N-terminal transactivation domain (N-TAD), binds to DNA with increased affinity, while the R307C mutation reduces binding to the ATP2B4 erythroid promoter. In harmony with these observations, GATA1s exhibits increased functional activity, while the R307C mutation results in decreased activity. This study demonstrates the power of the nHU assay for studying DNA interactions of transcription factor variants and providing insight into the molecular mechanism of related diseases.

molecular biology↗

Comparative analysis of PDZ-binding motifs in the diacylglycerol kinase family

Diacylglycerol kinases (DGKs) control local and temporal amounts of diacylglycerol (DAG) and phosphatidic acid (PA) by converting DAG to PA through phosphorylation in cells. Certain DGK enzymes possess C-terminal sequences that encode potential PDZ-binding motifs (PBMs), which could be involved in their recruitment into supramolecular signaling complexes. In this study, we used two different interactomic approaches, quantitative native holdup (nHU) and qualitative affinity purification (AP), both coupled to mass spectrometry (MS) to investigate the PDZ partners associated with the potential PBMs of DGKs. Complementing these results with site-specific affinity interactomic data measured on isolated PDZ domain fragments and PBM motifs, as well as evolutionary conservation analysis of the PBMs of DGKs, we explored functional differences within different DGK groups. All our results indicate that putative PBM sequences of type II enzymes are likely to be nonfunctional. In contrast, type IV enzymes possess highly promiscuous PBMs that interact with a set of PDZ proteins with very similar affinity interactomes. The combination of various interactomic assays and evolutionary analyses provides a useful strategy for identifying functional domains and motifs within diverse enzyme families.

molecular biology↗

Affinity-ranking BIN1 interactions and screening natural BIN1 variants that may cause neuromuscular disorders

Truncation of the protein-protein interaction SH3 domain of the membrane remodeling Bridging Integrator 1 (BIN1, Amphiphysin 2) protein leads to centronuclear myopathy. Here, we assessed the impact of a set of naturally observed, previously uncharacterized BIN1 SH3 domain variants using conventional in vitro and cell-based assays monitoring the BIN1 interaction with dynamin 2 (DNM2) and identified potentially harmful ones that can be also tentatively connected to neuromuscular disorders. However, SH3 domains are typically promiscuous and it is expected that other, so-far unknown partners of BIN1 exist besides DNM2, that also participate in the development of centronuclear myopathy. In order to shed light on these other relevant interaction partners and to get a holistic picture of the pathomechanism behind BIN1 SH3 domain variants, we used affinity interactomics. We identified hundreds of new BIN1 interaction partners proteome-wide, among which many appear to participate in cell division, suggesting a critical role of BIN1 in the regulation of mitosis. Finally, we show that the identified BIN1 mutations indeed cause proteome-wide affinity perturbation, signifying the importance of employing unbiased affinity interactomic approaches.

biochemistry↗

The Holdup Multiplex, an assay for high-throughput measurement of protein-ligand affinity constants using a mass-spectrometry readout

The accurate description and subsequent modeling of protein interactomes requires quantification of their affinities at proteome-wide scale. Here we develop and validate the Holdup Multiplex, a versatile assay for high-throughput measurement of protein-ligand affinity constants that uses mass-spectrometry as readout. The method can quantify thousands of affinities in one single run, with high precision and over several orders of magnitude. We applied this strategy to the seven human 14-3-3 isoforms, quantifying in a few sample-runs their interaction with 1,000 different phosphopeptides. We were able to identify hundreds of new 14-3-3 binding sites. We showed that the seven human 14-3-3 display similar specificities but staggered affinities, 14-3-3g being always the best binder and 14-3-3{varepsilon} and {sigma}, the weakest. Finally, we identified dozens of 14-3-3 bindings sites, some intervening in key signaling pathways, that were either stabilized or destabilized by the phytotoxin Fusicoccin-A. Our approach, which throughput can be pushed up to the sensitivity limit of the mass-spectrometry setup, is applicable to any category of protein-ligand interactions and thus bears a wide potential both for high-throughput interactomics and chemoproteomics.

systems biology↗

Native holdup (nHU) to measure binding affinities from cell extracts

Characterizing macromolecular interactions is essential for understanding cellular processes, yet nearly all methods used to detect protein interactions from cells are qualitative. Here, we introduce the native holdup (nHU) approach to quantify equilibrium binding constants and explore binding mechanisms of protein interactions from cell extracts. Compared to other pulldown-based assays, nHU requires less sample preparation and can be coupled to any analytical methods, such as western blotting (nHU-WB) or mass spectrometry (nHU-MS) as readouts. We use nHU to explore interactions of SNX27, a cargo adaptor of the retromer complex and find good agreement between in vitro affinities and those measured directly from cell extracts using nHU. This challenges the unwritten paradigm stating that biophysical parameters like binding constants cannot be accurately determined from cells or cellular extracts. We discuss the strengths and limitations of nHU and provide simple protocols that can be implemented in most laboratories.

systems biology↗

ProFeatMap: a customizable tool for 2D feature representation of protein sets

SummaryHere, we present ProFeatMap, an intuitive Python-based website allowing to quickly display protein features such as domains, repeats, post-translational modifications location and so forth, into a highly customizable graphical 2D map. Starting from a user-defined protein list, ProFeatMap automatically extracts the main protein features from the Uniprot database. The resulting high-quality maps can help to gain insights, e.g. feature redundancy, that were previously overlooked but which may be useful for the research project. ProFeatMap is freely accessible on the web at: https://profeatmap.pythonanywhere.com/ AvailabilitySource code is freely accessible at https://github.com/profeatmap/ProFeatMap under the GPL license. Contactbichg@igbmc.fr, yves.nomine@igbmc.fr Supplementary informationdetailed user guide of ProFeatMap

bioinformatics↗

Quantitative fragmentomics allow affinity mapping of interactomes

Human protein networks have been widely explored but most binding affinities remain unknown, hindering quantitative interactome-function studies. Yet interactomes rely on minimal interacting fragments displaying quantifiable affinities. Here we measured the affinities of 65,000 interactions involving PDZ domains and their target PDZ-binding motifs (PBM) within a human interactome region particularly relevant for viral infection and cancer. We calculate interactomic distances, identify hot spots for viral interference, generate binding profiles and specificity logos, and explain selected cases by crystallographic studies. Mass spectrometry experiments on cell extracts and literature surveys show that quantitative fragmentomics effectively complement protein interactomics by providing affinities and completeness of coverage, putting a full human interactome affinity survey within realistic reach. Finally, we show that interactome hijacking by the viral PBM of human papillomavirus (HPV) E6 oncoprotein deeply impacts the host cell proteome way beyond immediate E6 binders, illustrating the complex system-wide relationship between interactome and function.

systems biology↗

Binding Profile Mapping of the S100 Protein Family Using a High-throughput Local Surface Mimetic Holdup Assay

S100 proteins are small, typically homodimeric, vertebrate-specific EF-hand proteins that establish Ca2+-dependent protein-protein interactions in the intra- and extracellular environment and are overexpressed in various pathologies. There are about 20 distinct human S100 proteins with numerous potential partner proteins. Here, we used a quantitative holdup assay to measure affinity profiles of most members of the S100 protein family against a library of chemically synthetized foldamers. The profiles allowed us to quantitatively map the binding promiscuity of each member towards the foldamer library. Since the library was designed to systematically contain most binary natural amino acid side chain combinations, the data also provide insight into the promiscuity of each S100 protein towards all potential naturally-occurring S100 partners in the human proteome. Such information will be precious for future drug design of modulators of S100 pathological activities.

biochemistry↗

The human PDZome 2.0: characterization of a new resource to test for PDZ interactions by Yeast Two-Hybrid

PSD95-disc large-zonula occludens (PDZ) domains are globular modules of 80-90 amino acids that co-evolved with multicellularity. They commonly bind to carboxy-terminal sequences of a plethora of membrane-associated proteins and influence their trafficking and signaling. We previously built a PDZ resource (PDZome) allowing to unveil human PDZ interactions by Yeast two-hybrid. Yet, this resource is partial according to the current knowledge on the human PDZ proteome. Here we built the PDZome 2.0 library for Yeast two-hybrid, based in a PDZ library manually curated from online resources. The PDZome2.0 contains 305 individual clones (266 PDZ domains in isolation and 39 tandems), for which all boundaries have been designed based on available PDZ structures. Using as bait the E6 oncoprotein from HPV16, a known promiscuous PDZ interactor, we show that PDZome 2.0 outperforms the previous resource.

molecular biology↗

Recognition of high-risk HPV E6 oncoproteins by 14-3-3 proteins studied by interactomics and crystallography

The seven human 14-3-3 isoforms, highly similar yet encoded by distinct genes, are among the top 1% highest-expressed human proteins. 14-3-3 proteins recognize phosphorylated motifs within numerous human or viral proteins. We analyzed by crystallography, fluorescence polarization, mutagenesis and fusicoccin-mediated modulation the structural basis and druggability of 14-3-3 binding to four E6 oncoproteins of tumorigenic HPV. The seven isoforms bound variant and mutated phospho-motifs of E6 and unrelated protein RSK1 with different affinities, albeit following an ordered ranking profile with conserved relative KD ratios. Remarkably, 14-3-3 isoforms obey the same hierarchy when binding to most of their established targets, nicely supported by a recent proteome-wide human complexome map. This knowledge allows predicting the proportions of 14-3-3 isoforms engaged with phosphoproteins in various tissues. Notwithstanding their individual functions, cellular concentrations of 14-3-3 may be collectively adjusted to buffer the strongest phosphorylation outbursts, explaining their expression variations in different tissues and tumors.

biochemistry↗

Interactomic affinity profiling by holdup assay: acetylation and distal residues impact the PDZome-binding specificity of PTEN phosphatase

Protein domains often recognize short linear protein motifs composed of a core conserved consensus sequence surrounded by less critical, modulatory positions. Here we used an accurate experimental approach combining high-throughput holdup chromatographic assay and fluorescence polarization to measure quantitative binding affinity profiles of the PDZ domain-binding motif (PBM) of PTEN phosphatase towards the 266 known human PDZ domains. Inclusion of N-terminal flanking residues, acetylation or mutation of a lysine at a modulatory position significantly altered the PDZome-binding profile of the PTEN PBM. A specificity index is also introduced to quantify the specificity of a given PBM over the complete PDZome. Our results highlight the impact of modulatory residues and post-translational modifications on PBM interactomes and their specificity.Competing Interest StatementThe authors have declared no competing interest.View Full Text

biophysics↗

Rewiring of RSK-PDZ interactions by linear motif phosphorylation

Protein phosphorylation is a key regulator of protein-protein interactions. How does the interactome of a protein change during extracellular stimulations? While many individual examples of phosphorylation-regulated interactions were described previously, studies addressing the interactome changes induced by a particular phosphorylation event remain scarce. Here, we try to answer this question, by focusing on interactions between a phosphorylable PDZ-binding linear motif and the entire complement of human PDZ domains. Using a combination of in vitro quantitative techniques and cell-based approaches, we demonstrate that the activation of the mitotic effector kinase RSK1 causes dramatic changes in its connectivity with PDZ domain containing proteins. These changes consist of modulations of the binding affinity of numerous interactions, rather than on/off switching of a few interactions. Our results highlight the previously unappreciated role of phosphorylation in the complex and subtle rewiring of large numbers of protein-protein interactions.

systems biology↗