Search bioRxiv⌕ Search

Biology subjects

Fragai, M.

Publications and source records attributed to Fragai, M..

5 recordsLinked to original sources

Structural Basis for Human Milk Oligosaccharides Recognition by Evolutionarily Dominant Norovirus Genogroup II Genotypes

Human noroviruses are a major cause of acute gastroenteritis. Human milk oligosaccharides (HMOs) contain glycan motifs similar to histo-blood group antigens and may act as soluble decoys that reduce viral attachment. However, the molecular basis of HMO recognition by the P domain of the major capsid protein VP1 of different norovirus genotypes is not fully understood. Here, we combined ligand-based and protein-based NMR experiments with X-ray crystallography to study HMO binding to the P domain of the latent GII.2, dominant GII.4 and emerging GII.17 noroviruses genotypes. Screening of 12 HMOs by STD NMR showed binding of all fucosylated HMOs to GII.4 and GII.17 and none for non-fucosylated HMOs. In contrast, GII.2 showed little or no detectable binding under the same conditions. Seven crystal structures of GII.4 or GII.17 with complexed HMOs supported fucose anchoring via five conserved residues. The remaining sugar moieties formed genotype-specific secondary interactions with an extended, shallow and solvent exposed binding surface whose shape is dictated by divergent surface loops. GII.4 recognition is mainly driven by hydrogen bonds whereas GII.17 relied more strongly on water-mediated interactions. Chemical shift perturbation from NMR titrations (CSP NMR) of GII.4 corroborated the fucose interactions and gave dissociation constants of 20-33 mM, consistent with weak and rapidly exchanging interactions.

biochemistry↗

Deciphering the RNA recognition by Musashi-1 to design protein and RNA mutants for in vitro and in vivo applications

RNA Recognition Motifs (RRMs) are essential post-transcriptional regulators of gene expression in eukaryotic cells. The Human Musashi-1 (MSI-1) is an RNA-binding protein that recognizes (G/A)U1-3AGU and UAG sequences in diverse RNAs through two RRMs and regulates the fate of target RNA. Here, we combined structural biology and computational approaches to analyse the binding of the RRM domains of human MSI-1 with single-stranded and structured RNAs ligands. We used our recently developed computational tool RRMScorer to design a set of mutants of the MSI-1 protein to bind novel RNA sequences to alter the binding selectivity. The in-silico predictions of the designed protein-RNA interactions are assessed by NMR and SPR. These experiments also are used to study the competition of the two RRM domains of MSI-1 for the same binding site within linear and harpin RNA. Our experimental results confirm the in-silico designed interactions, thus opening the way for the development of new biomolecules for in vitro and in vivo studies and downstream applications.

biophysics↗

Anti-capsule human monoclonal antibodies protect against hypervirulent and pandrug-resistant Klebsiella pneumoniae

The silent pandemic caused by antimicrobial resistance (AMR) requires innovative therapeutic approaches. Human monoclonal antibodies (mAbs), which are among the most transformative, safe and effective drugs in oncology and autoimmunity, are rarely used for infectious diseases and not yet used for AMR. Here we applied an antigen-agnostic strategy to isolate extremely potent human mAbs against Klebsiella pneumoniae (Kp) sequence type 147 (ST147), a hypervirulent and pandrug-resistant clonotype which is spreading globally. Isolated mAbs target the bacterial capsule and the O-antigen. Surprisingly, although both capsule- and O-antigen-specific mAbs displayed bactericidal activity in the picomolar range in vitro, only the capsule-specific mAbs were protective against fulminant ST147 bloodstream infection. Protection correlated with in vitro bacterial uptake by macrophages and enchained bacterial growth. Our study describes the only drug able to protect against pandrug-resistant Kp and provides a strategy to isolate mAbs and identify correlates of protection against AMR bacteria.

microbiology↗

HuR modulation with tanshinone mimics impairs LPS response in murine macrophages

Lipopolysaccharide exposure to macrophages induces an inflammatory response that is heavily regulated at the transcriptional and post-transcriptional levels. HuR (ELAVL1) is an RNA binding protein that binds and regulates the maturation and half-life of AU/U rich elements (ARE) containing cytokines and chemokines transcripts, mediating the LPS-induced response. Here we investigated how and to what extent small molecule tanshinone mimics (TMs) inhibiting HuR-RNA interaction counteract LPS stimulus in macrophages. We show TMs exist in solution in keto-enolic tautomerism and that, by molecular dynamic calculations, the orto quinone form is the bioactive species interacting with HuR and inhibiting its binding mode vs mRNA targets. A chemical blockage of the diphenolic, reduced form as a diacetate caused the loss of activity of TMs in vitro but resulted to prodrug-like activity in vivo. The murine macrophage cell line RAW264.7 was treated with LPS and TMs, and the modulation of cellular LPS-induced response was monitored by RNA and Ribonucleoprotein immunoprecipitation sequencing. Correlation analyses indicated that LPS induced a strong coupling between differentially expressed genes and HuR-bound genes, and that TMs reduced such interactions. Functional annotation addressed a specific set of genes involved in chemotaxis and immune response, such as Cxcl10, Il1b, Cd40, and Fas, with a decreased association with HuR, a reduction of their expression and protein secretion. The same effect was observed in primary murine bone marrow-derived macrophages, and in vivo in an LPS induced peritonitis model, in which the serum level of Cxcl10 and Il1b was strongly reduced, endowing TMs such as TM7nox with remarkable anti-inflammatory properties in vivo.

molecular biology↗

A protocol to automatically calculate homo-oligomeric protein structures through the integration of evolutionary constraints and ambiguous contacts derived from solid- or solution-state NMR

Protein assemblies are involved in many important biological processes. Solid-state NMR (SSNMR) spectroscopy is a technique suitable for the structural characterization of samples with high molecular weight and thus can be applied to such assemblies. A significant bottleneck in terms of both effort and time required is the manual identification of unambiguous intermolecular contacts. This is particularly challenging for homo-oligomeric complexes, where simple uniform labeling may not be effective. We tackled this challenge by exploiting coevolution analysis to extract information on homo-oligomeric interfaces from NMR-derived ambiguous contacts. After removing the evolutionary couplings (ECs) that are already satisfied by the 3D structure of the monomer, the predicted ECs are matched with the automatically generated list of experimental contacts. This approach provides a selection of potential interface residues that is used directly in monomer-monomer docking calculations. We validated the protocol on tetrameric L-asparaginase II and dimeric Sod1.

biophysics↗