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12 p.-4 fig.-4 tab., Bacterial surfaces are decorated with carbohydrate structures that may serve as ligands for host receptors. Based on their ability to recognize specific sugar epitopes, plant lectins are extensively used for bacteria typing. We previously observed that the galactose-specific agglutinins from Ricinus communis (RCA) and Viscum album (VAA) exhibited differential binding to nontypeable Haemophilus influenzae (NTHi) clinical isolates, their binding being distinctly affected by truncation of the lipooligosaccharide (LOS). Here, we examined their binding to the structurally similar LOS molecules isolated from strains NTHi375 and RdKW20, using microarray binding assays, saturation transfer difference NMR, and molecular dynamics simulations. RCA bound the LOSRdKW20 glycoform displaying terminal Gal beta(1,4) Glc beta, whereas VAA recognized the Gala(1,4) Gal beta(1,4) Glc beta epitope in LOSNTHi375 but not in LOSRdKW20, unveiling a different presentation. Binding assays to whole bacterial cells were consistent with LOSNTHi375 serving as ligand for VAA, and also suggested recognition of the glycoprotein HMW1. Regarding RCA, comparable binding to NTHi375 and RdKW20 cells was observed. Interestingly, an increase in LOSNTHi375 abundance or expression of HMW1 in RdKW20 impaired RCA binding. Overall, the results revealed that, besides the LOS, other carbohydrate structures on the bacterial surface serve as lectin ligands, and highlighted the impact of the specific display of cell surface components on lectin binding., We gratefully acknowledge financial support from the Spanish Ministry of Economy and Competitiveness(Grants BFU2015-70052-R, CTQ2015-64597-C2-2-P and SAF2015-66520-R), the Department of Health of the Navarra Government (ref 03/2016), the CIBER of Respiratory Diseases (CIBERES), an initiative from the Spanish Institute of Health Carlos III (ISCIII), and the Marie Curie Initial Training Networks DYNANO(Grant PITN-GA-2011-289033), GLYCOPHARM (Grant PITN-GA-2012-317297), and WntsApp (Grant PITN-GA-2013-608180).

Recognition of bacterial surface epitopes by host receptors plays an important role in the infectious process and is intimately associated with bacterial virulence. Delineation of bacteria-host interactions commonly relies on the detection of binding events between purified bacteria- and host-target molecules. In this work, we describe a combined microarray and quartz crystal microbalance (QCM) approach for the analysis of carbohydrate-mediated interactions directly on the bacterial surface, thus preserving the native environment of the bacterial targets. Nontypeable Haemophilus influenzae (NTHi) was selected as a model pathogenic species not displaying a polysaccharide capsule or O-antigen-containing lipopolysaccharide, a trait commonly found in several important respiratory pathogens. Here, we demonstrate the usefulness of NTHi microarrays for exploring the presence of carbohydrate structures on the bacterial surface. Furthermore, the microarray approach is shown to be efficient for detecting strain-selective binding of three innate immune lectins, namely, surfactant protein D, human galectin-8, and Siglec-14, to different NTHi clinical isolates. In parallel, QCM bacteria-chips were developed for the analysis of lectin-binding kinetics and affinity. This novel QCM approach involves capture of NTHi on lectin-derivatized chips followed by formaldehyde fixation, rendering the bacteria an integrated part of the sensor chip, and subsequent binding assays with label-free lectins. The binding parameters obtained for selected NTHi-lectin pairs provide further insights into the interactions occurring at the bacterial surface., We gratefully acknowledge financial support from the Spanish Ministry of Economy and Competitiveness (Grants BFU2012-36825, BFU2015-70052-R, SAF2012-31166, and SAF2015-66520-R), the Department of Health of the Navarra Government (ref 359/2012), the CIBER of Respiratory Diseases (CIBERES), an initiative from the Spanish Institute of Health Carlos III (ISCIII), and the Marie Curie Initial Training Networks DYNANO (Grant PITN-GA-2011-289033), GLYCOPHARM (Grant PITN-GA-2012-317297), and WntsApp (GA-No. 608180, FP7-PEOPLE-2013). I.K. and D.P. were funded by Marie Curie contracts from the European Commission.

Bacterial surfaces are decorated with a diversity of carbohydrate structures that play important roles in the bacteria–host relationships. They may offer protection against host defense mechanisms, elicit strong antigenic responses, or serve as ligands for host receptors, including lectins of the innate immune system. Binding by these lectins may trigger defense responses or, alternatively, promote attachment, thereby enhancing infection. The outcome will depend on the particular bacterial surface landscape, which may substantially differ among species and strains. In this chapter, we describe two novel methods for exploring interactions directly on the bacterial surface, based on the generation of bacterial microarrays and quartz crystal microbalance (QCM) sensor chips. Bacterial microarrays enable profiling of accessible carbohydrate structures and screening of their recognition by host receptors, also providing information on binding avidity, while the QCM approach allows determination of binding affinity and kinetics. In both cases, the chief element is the use of entire bacterial cells, so that recognition of the bacterial glycan epitopes is explored in their natural environment., We gratefully acknowledge financial support from the Spanish Ministry of Economy and Competitiveness (Grants BFU2012-36825, BFU2015-70052-R, SAF2012-31166, and SAF2015-66520-R), the Department of Health of the Navarra Government (ref. 359/2012), the CIBER of Respiratory Diseases (CIBERES), an initiative from the Spanish Institute of Health Carlos III (ISCIII), and the Marie Curie Initial Training Networks DYNANO (Grant PITN-GA-2011-289033), GLYCOPHARM (Grant PITN-GA-2012- 317297), and WntsApp (GA-No. 608180, FP7-PEOPLE-2013). I.K. and D.P. were beneficiaries of Marie Curie contracts from the European Commission.

The human endothelin receptors are members of the rhodopsin class A of G-protein coupled receptors and key modulators of blood pressure regulation. Their functional in vitro characterization has widely been limited by the availability of high quality samples. We have optimized cell-free expression protocols for the human endothelin A and endothelin B receptors by implementing co-translational association approaches of the synthesized proteins with supplied liposomes or nanodiscs. Efficiency of membrane association and ligand binding properties of the receptors have systematically been studied in correlation to different membrane environments and lipid types. Ligand binding was analyzed by a number of complementary assays including radioassays, surface plasmon resonance and fluorescence measurements. High affinity binding of the peptide ligand ET-1 to both endothelin receptors could be obtained with several conditions and the highest Bmax values were measured in association with nanodiscs. We could further obtain the characteristic differential binding pattern of the two endothelin receptors with a panel of selected agonists and antagonists. Two intrinsic properties of the functionally folded endothelin B receptor, the proteolytic processing based on conformational recognition as well as the formation of SDS-resistant complexes with the peptide ligand ET-1, were observed with samples obtained from several cell-free expression conditions. High affinity and specific binding of ligands could furthermore be obtained with non-purified receptor samples in crude cell-free reaction mixtures, thus providing new perspectives for fast in vitro screening applications.

Nanodiscs (NDs) enable the analysis of membrane proteins (MP) in natural lipid bilayer environments. In combination with cell-free (CF) expression, they could be used for the co-translational insertion of MPs into defined membranes. This new approach allows the characterization of MPs without detergent contact and it could help to identify effects of particular lipids on catalytic activities. Association of MPs with different ND types, quality of the resulting MP/ND complexes as well as optimization parameters are still poorly analyzed. This study describes procedures to systematically improve CF expression protocols for the production of high quality MP/ND complexes. In order to reveal target dependent variations, the co-translational ND complex formation with the bacterial proton pump proteorhodopsin (PR), with the small multidrug resistance transporters SugE and EmrE, as well as with the Escherichia coli MraY translocase was studied. Parameters which modulate the efficiency of MP/ND complex formation have been identified and in particular effects of different lipid compositions of the ND membranes have been analyzed. Recorded force distance pattern as well as characteristic photocycle dynamics indicated the integration of functionally folded PR into NDs. Efficient complex formation of the E. coli MraY translocase was dependent on the ND size and on the lipid composition of the ND membranes. Active MraY protein could only be obtained with ND containing anionic lipids, thus providing new details for the in vitro analysis of this pharmaceutically important protein.

Cell-free expression has emerged as a powerful technique to overcome major restrictions of classical in vivo membrane protein production, with sample yields of mgms of protein per ml reaction volume possible in less than a day. The open nature and high versatility of cell-free expression allows a variety of completely new ways to rationally design and optimise expression environments as well as to modulate folding kinetics for membrane proteins independent of their origin, size, topology and function. This article summarises the array of currently available options to modify and develop cell-free expression protocols adapted to the specific requirements of individual membrane proteins. We give further an overview of the recent advances of cell-free production of membrane proteins for structural and functional analysis.