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Willems, L.

Publications and source records attributed to Willems, L..

11 recordsLinked to original sources

Structural basis for covalent inhibition of sulfatases by sulfamate warheads

The enzymatic removal of sulfate groups regulates processes ranging from steroid metabolism to carbohydrate degradation. Most sulfatases belong to the S1 family, whose members use a co-translationally installed formylglycine residue to hydrolyse sulfate esters. Arylsulfamates are potent covalent inhibitors of aryl and steroid sulfatases, including the clinical steroid sulfatase inhibitor Irosustat, yet the structure and stability of the inhibited complex remain unresolved. Arylsulfamates and carbohydrate sulfamates do not covalently inhibit many S1 carbohydrate sulfatases despite conservation of their sulfate-binding sites and formylglycine residue. Using enzyme kinetics, X-ray crystallography, molecular dynamics simulations and density functional theory calculations, we define the basis of these contrasting behaviours. High-resolution structures of the Pseudomonas aeruginosa arylsulfatase PaAtsA treated with two arylsulfamates reveal a long-lived tetrahedral, O-linked -hydroxysulfamate adduct attached to formylglycine. Molecular simulations show that replacing sulfate with sulfamate disrupts the favourable Ca2+-oxyanion interaction and alters ligand binding geometry. The permissive hydrophobic binding site of PaAtsA accommodates this rearrangement while retaining a trajectory compatible with nucleophilic attack. By contrast, in the Bacteroides thetaiotaomicron carbohydrate sulfatase BT16363S-Gal, sulfate-to-sulfamate substitution weakens binding and displaces the sulfamate from a reactive pose near the catalytic nucleophile due to a restrictive active site with conserved sugar binding. These findings define the structure and persistence of the arylsulfamate-derived covalent intermediate and explain why sulfamate warheads are tolerated by aryl sulfatases but not carbohydrate sulfatases.

biochemistry↗

Integration of clinical and T-cell immune profiling to predict early response to CD3xBCMA bispecific antibody immunotherapy in Multiple Myeloma

The emergence of bispecific antibodies (BsAbs) targeting T cells (CD3+) and tumor plasma B cells (BCMA+) has provided a new therapeutic option for patients with relapsed/refractory multiple myeloma cancer. However, responses to CD3xBCMA BsAb therapy remain heterogeneous, and treatment is associated with frequent immune-related adverse events. Although baseline immune characteristics have been associated with clinical outcomes, little is known about the early immune dynamics induced by this therapy. Here, we investigated whether longitudinal clinical monitoring and high-dimensional profiling of blood circulating T cells could identify early biomarkers of response or toxicity during treatment. Our results indicate that all treated patients exhibit an early depletion of circulating T cells associated with T-cell activation within the first two weeks. Integration of clinical and immunological parameters using Factorial Analysis of Mixed Data (FAMD) identified immune features associated with treatment outcome. Responders had lower plasma soluble BCMA concentrations, fewer bone lesions, higher circulating lymphocyte counts at baseline. During the first days of treatment, responders exhibited a more pronounced increase in plasma CXCL10 levels, associated with a greater decrease in T lymphocyte counts. Overall, our findings suggest that integrating clinical and immune parameters measured during the first days of treatment may enable early patient stratification and support the development of a predictive score to identify patients with multiple myeloma who are most likely to benefit from CD3xBCMA BsAb therapy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/743749v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1cb079org.highwire.dtl.DTLVardef@1860106org.highwire.dtl.DTLVardef@ad36d3org.highwire.dtl.DTLVardef@1ea5c1e_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIIntegrated clinical and blood T-cell immune profiling using FAMD enables patient stratification following CD3xBCMA BsAb therapy. C_LIO_LIT-cell immune activation occurs predominantly within the first two weeks of therapy. C_LIO_LIFirst-week clinical and immune parameters identify patients most likely to benefit from therapy. C_LIO_LIHigh CXCL10 levels, a profound early decline in circulating T cells, low sBCMA levels, and fewer bone lesions are candidate predictive markers of treatment response. C_LI

immunology↗

ER stress relief drives beta cell proliferation

Regenerating endogenous pancreatic {beta}-cells is a potentially curative yet currently elusive strategy for diabetes therapy. Mimicking the microenvironment of the developing pancreas and leveraging vascular signals that support pancreatic endocrinogenesis may promote {beta}-cell regeneration. We aimed to investigate whether recovery from experimental hypovascularization of the endocrine pancreas, achieved by modulating the transgenic production of a VEGF-A blocker in {beta}-cells, could trigger mouse {beta}-cell proliferation. Serendipitously, we found that transgene overexpression in {beta}-cells induces endoplasmic reticulum (ER) stress and that subsequent relief from this stress stimulates {beta}-cell proliferation independent of vessel recovery. Transient GFP overexpression in vivo and chemical induction of ER stress in vitro replicated this {beta}-cell cycling response. Our findings highlight the potential side effects of ER stress due to transgene overexpression in {beta}-cells and assert that ER stress relief serves as a potent regenerative stimulus.

molecular biology↗

Endothelial features along the pulmonary vascular tree in chronic thromboembolic pulmonary hypertension: distinctive or shared facets?

Chronic thromboembolic pulmonary hypertension (CTEPH) is a rare complication of pulmonary embolism, characterized by the presence of organized fibro-thrombotic material that partially or fully obstructs the lumen of large pulmonary arteries, microvasculopathy, and enlargement of the bronchial systemic vessels. The precise mechanisms underlying CTEPH remain unclear. However, defective angiogenesis and altered pulmonary arterial endothelial cell (PAEC) function may contribute to disease progression. Despite the observation of differences in histological features, shear stress and ischemia along the pulmonary vascular tree, the potential contribution of PAEC phenotype and function to these disparate aspects remains unexplored. Based on these observations, we postulated that angiogenic capacities and endothelial barrier function may contribute to disparities in histological features observed along the pulmonary vascular tree. We thus explored the histological characteristics of the pulmonary vascular tree using pulmonary arterial lesions obtained during pulmonary endarterectomy (PEA). We focused on the angiogenic vascular endothelial growth factor (VEGF)-A/VEGF receptor-2 (VEGFR2) axis and collagen 15A1 (COL15A1), a potential marker of endothelial cells of the systemic circulation. Concurrently, we examined in vitro angiogenic properties and barrier function of PAECs derived from large and (sub)-segmental pulmonary arterial lesions. (Sub)-segmental pulmonary arterial lesions were abundantly recanalized by neovessels, paralleled by an enriched expression of VEGFR2. VEGF-A expression was more pronounced in large pulmonary arterial lesions. Nevertheless, no significant difference was discerned in in vitro angiogenic capacities and barrier integrity of PAECs isolated from large and (sub)- segmental pulmonary arterial lesions. Importantly, our findings revealed the presence of endothelial cells (CD31+) expressing COL15A1, as well as CD31+ cells that did not express COL15A1. This suggests that endothelial cells from both systemic and pulmonary circulation contribute to lesion recanalization. Despite disparate in situ angiogenic cues in VEGF-A/VEGFR2 axis between large and (sub)- segmental pulmonary arterial lesions in CTEPH, in vitro angiogenic capacities and barrier function remain unaltered.

cell biology↗

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↗

Assessment of community efforts to advance computational prediction of protein-protein interactions

Comprehensive insights from the human protein-protein interaction (PPI) network, known as the human interactome, can provide important insights into the molecular mechanisms of complex biological processes and diseases. Despite the remarkable experimental efforts undertaken to date to determine the structure of the human interactome, many PPIs remain unmapped. Computational approaches, especially network-based methods, can facilitate the identification of new PPIs. Many such approaches have been proposed. However, a systematic evaluation of existing network-based methods in predicting PPIs is still lacking. Here, we report community efforts initiated by the International Network Medicine Consortium to benchmark the ability of 24 representative network-based methods to predict PPIs across five different interactomes, including a synthetic interactome generated by the duplication-mutation-complementation model, and the interactomes of four different organisms: A. thaliana, C. elegans, S. cerevisiae, and H. sapiens. We selected the top-seven methods through a computational validation on the human interactome. We next experimentally validated their top-500 predicted PPIs (in total 3,276 predicted PPIs) using the yeast two-hybrid assay, finding 1,177 new human PPIs (involving 633 proteins). Our results indicate that task-tailored similarity-based methods, which leverage the underlying network characteristics of PPIs, show superior performance over other general link prediction methods. Through experimental validation, we confirmed that the top-ranking methods show promising performance externally. For example, from the top 500 PPIs predicted by an advanced similarity-base method [MPS(B&T)], 430 were successfully tested by Y2H with 376 testing positive, yielding a precision of 87.4%. These results establish advanced similarity-based methods as powerful tools for the prediction of human PPIs.

systems biology↗

MyD88 Mediates Colitis- and RANKL-induced Microfold Cell Differentiation

Intestinal microfold (M) cells are critical for sampling antigen in the gut and initiating the intestinal mucosal immune response. In this study, we found that the differentiation efficiency of M cells was closely related to the colitis severity. The expression levels of M cells differentiation-related genes were synchronized with the kinetics of pro-inflammatory cytokines expression originated from dextran sulfate sodium (DSS) induction and Salmonella infection. Compared with wild-type (WT) mice, MyD88-/- mice exhibited significantly lower expression levels of M cells differentiation-related genes. However, DSS could induce colitis in MyD88-/- mice but failed to promote M cells differentiation. Furthermore, the receptor activator of the Nuclear Factor-{kappa}B ligand (RANKL) induced M cells differentiation in murine intestinal organoids prepared from both WT and MyD88-/- mice. However, less M cells differentiation were found in MyD88-/- mice as compared with WT mice. Hence, we concluded that myeloid differentiation factor 88 (MyD88) is an essential molecule for colitis- and RANKL-related M cells differentiation.

cell biology↗

Interactome and structural basis for targeting the human T-cell leukemia virus Tax oncoprotein

Human T-cell leukemia virus type-1 (HTLV-1) is the causative agent of adult T-cell leukemia (ATL). Although ATL is a well-characterized T-cell neoplasm, linked to intermittent expression of the viral Tax-1 protein, there is currently no strategy to target Tax-1 functions using small molecules. Here, we report a comprehensive interaction map between Tax-1 and human PDZ domain-containing proteins (hPDZome). We show that Tax-1 interacts with more than one-third of hPDZome components, including proteins involved in cell cycle, cell-cell junctions, cytoskeleton organization, and membrane complex assembly. Using nuclear magnetic resonance (NMR) spectroscopy, we have determined the structural basis of the interaction between the C-terminal PDZ binding motif (PBM) of Tax-1, and the PDZ domains of syntenin-1, an evolutionary conserved hub that controls exosome trafficking. Finally, we have used confocal imaging, molecular modelling, NMR and mammalian cell-based assays to demonstrate that the Tax-1/syntenin-1 interaction is amenable to small-molecule inhibition. Altogether, our study highlights the biological significance of Tax-PDZ interactome and its interplay with exosome formation. It shows a direct link between extracellular vesicles and HTLV-1 transmission, providing a novel framework for the design of targeted therapies for HTLV-1-induced diseases.

biochemistry↗

Hematopoietic differentiation is characterized by a transient peak of cell-to-cell gene expression variability in normal and pathological conditions.

Hematopoietic differentiation has been metaphorically represented as linear trajectories with discrete steps from hematopoietic stem cells to mature cells. While the transcriptional state of cells at the beginning or at the end of these trajectories are well described from bulk analysis, what happens in the intermediate states has remained elusive until the use of single cell approaches. Applying Shannon entropy to measure cell-to-cell variability among cells at the same stage of differentiation, we observed a transient peak of gene expression variability in all the hematopoietic differentiation pathways. Strikingly, genes with the highest entropy variation in a given differentiation pathway matched genes known as pathway-specific, whereas genes with the highest expression variation were common to all pathways. Finally, we showed that the level of cell-to-cell variation is increased in the most immature compartment of hematopoiesis in myelodysplastic syndromes. These data suggest that differentiation could be better conceptualized as a dynamical stochastic process with a transient stage of cellular indetermination.

cell biology↗

A map of direct SARS-CoV-2 protein interactions implicates specific human host processes

Key steps in viral propagation, immune suppression, and pathology are mediated by direct, binary, physical interactions between viral and host proteins. To understand the biology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, we generated an unbiased systematic map of binary interactions between viral and host proteins, complementing previous co-complex association maps by conveying more direct mechanistic understanding and potentially enabling targeted disruption of direct interactions. To this end, we deployed two parallel strategies, identifying 205 virus-host and 27 intraviral binary interactions amongst 171 host and 19 viral proteins, and confirming high quality of these interactions via a calibrated orthogonal assay. Host proteins interacting with SARS-CoV-2 proteins are enriched in various cellular processes, including immune signaling and inflammation, protein ubiquitination, and membrane trafficking. Specific subnetworks provide new hypotheses related to viral modulation of host protein homeostasis and T-cell regulation. The binary virus-host protein interactions we identified can now be prioritized as targets for therapeutic intervention. More generally, we provide a resource of systematic maps describing which SARS-CoV-2 and human proteins interact directly.

systems biology↗

Reciprocal cybrids reveal how organellar genomes affect plant phenotypes

Assessing the impact of variation in chloroplast and mitochondrial DNA (collectively termed the plasmotype) on plant phenotypes is challenging due to the difficulty in separating their effect from nuclear derived variation (the nucleotype). Haploid inducer lines can be used as efficient plasmotype donors to generate new plasmotype-nucleotype combinations (cybrids)(Ravi et al., 2014). We generated a panel comprising all possible cybrids of seven Arabidopsis thaliana accessions and extensively phenotyped these lines for 1859 phenotypes under stable and fluctuating conditions. We show that natural variation in the plasmotype results in additive as well as epistatic effects across all phenotypic categories. Plasmotypes which induce more additive phenotypic changes also cause more significant epistatic effects, suggesting a possible common basis for both additive and epistatic effects. On average epistatic interactions explained twice as much of the variance in phenotypes as additive plasmotype effects. The impact of plasmotypic variation was also more pronounced under fluctuating and stressful environmental conditions. Thus, the phenotypic impact of variation in plasmotypes is the outcome of multilevel Nucleotype X Plasmotype X Environment interactions and, as such, the plasmotype is likely to serve as a reservoir of variation which is only exposed under certain conditions. The production of cybrids using haploid inducers is a quick and precise method for assessing the phenotypic effects of natural variation in organellar genomes. It will facilitate efficient screening of unique nucleotype-plasmotype combinations to both improve our understanding of natural variation in nucleotype plasmotype interactions and identify favourable combinations to improve plant performance.

genetics↗