Thomas Gehin

Improvement of protein immobilization for the elaboration of tumor-associated antigen microarrays: Application to the sensitive and specific detection of tumor markers from breast cancer sera

There is an urgent need to identify relevant tumor markers showing high sensitivity and specificity for early diagnosis and prognosis of breast cancer. Protein microarrays have demonstrated to be cost-effective, high through-put and powerful tools for screening and identifying tumor markers with only minute samples. Autoantibodies directed against tumor-associated antigens (TAAs) were shown to be relevant tumor markers. However, due to the variability of immune response from one individual to another and depending on the type of cancer, detection of only one type of anti-TAA autoantibody is not sufficient to give a reliable and precise diagnosis. It is necessary to use a set of several TAAs for determining specific autoimmune profiles. Therefore, combining various TAAs on different surfaces could improve sensitivity and specificity for anti-TAA autoantibody detection. Herein a panel of 10 proteins, including well-known tumor-associated antigens (TAAs) and potential new biomarkers of breast cancer, were immobilized onto microstructured microarray under optimized conditions (spotting pH buffer, surface chemistry, blocking procedure), in order to determine an autoimmune signature of breast cancer. Sera from 29 breast cancer patients and 28 healthy donors were screened in sandwich immunoassays on the miniaturized system to detect the eventual presence of anti-TAAs autoantibodies. Results indicated that the detection level of each anti-TAA autoantibody in a given serum sample was strongly dependant on the surface chemistry. Combining five TAAs (p53, Hsp60, Hsp70, Her2-Fc, NY-ESO-1) on two different surface chemistries (NHS and APDMES) allowed the significant detection of more than 82% breast cancer sera.

Structure binding relationship of galactosylated Glycoclusters toward Pseudomonas aeruginosa lectin LecA using a DNA-based carbohydrate microarray.

Pseudomonas aeruginosa (PA) is a major public health issue due to its impact on nosocomial infections as well as its impact on cystic fibrosis patient mortality. One of the main concerns is its ability to develop antibiotic resistance. Therefore, inhibition of PA virulence has been proposed as an alternative strategy to tackle PA based infections. LecA (or PA-IL), a galactose binding lectin from PA, is involved in its virulence. Herein, we aimed at designing high affinity synthetic ligands toward LecA for its inhibition and at understanding the key parameters governing the binding of multivalent galactosylated clusters. Twenty-five glycoclusters were synthesized and their bindings were studied on a carbohydrate microarray. Monosaccharide centered clusters and linear comb-like clusters were synthesized with different linkers separating the core and the galactosyl residues. Their length, flexibility, and aromaticity were varied. Our results showed that the binding profile of LecA to galactosylated clusters was dependent on both the core and the linker and also that the optimal linker was different for each core. Nevertheless, an aryl group in the linker structure drastically improved the binding to LecA. Our results also suggest that optimal distances are preferred between the core and the aromatic group and the core and the galactose.

Quantitative analysis (Kd and IC50) of glycoconjugates interactions with a bacterial lectin on a carbohydrate microarray with DNA Direct Immobilization (DDI)

Nowadays, there is a great interest for understanding the structure/function relationship governing recognition of carbohydrates by their receptors for the design of new treatments. Indeed, carbohydrates and glycoconjugates play a major role in key biological events such as cell-cell recognition, pathogenesis inflammation, and host pathogen interactions. Pseudomonas aeruginosa (PA) is one of the predominant bacterium encountered in nosocomial infections. PA infections often lead to chronic inflammation and eventually to death despite aggressive antibiotic therapy: the emergence of resistant strains and biofilm formation seems to give a selective advantage to the bacterium. A promising approach is to inhibit the virulence factors of PA such as PA-IL which is a galactose specific lectin. Herein, we develop a microarray to probe the binding of six galacto-conjugates to PA-IL differing by their spatial configuration and geometry. This microsystem is made of 40 independent microwells in which 64 spots of glycoconjugates probes are arrayed by using DNA Directed Immobilization (DDI). This microsystem allows, in a multiplex fashion, qualitative information on the binding by direct fluorescence readout as well as quantitative information by the determination of IC(50) values in a competition assay and surface dissociation constants (K(d)). According to our data, direct fluorescent signals (FI(635)), IC(50) and K(d) values provided similar ranking for glycoconjugates with respect to PA-IL binding thus affording a general tool for the selection of galacto-conjugates displaying the best affinities toward PA-IL.

Toward the Rational Design of Galactosylated Glycoclusters That Target Pseudomonas aeruginosa Lectin A (LecA): Influence of Linker Arms That Lead to Low-Nanomolar Multivalent Ligands.

Anti-infectious strategies against pathogen infections can be achieved through antiadhesive strategies by using multivalent ligands of bacterial virulence factors. LecA and LecB are lectins of Pseudomonas aeruginosa implicated in biofilm formation. A series of 27 LecA-targeting glycoclusters have been synthesized. Nine aromatic galactose aglycons were investigated with three different linker arms that connect the central mannopyranoside core. A low-nanomolar (Kd =19 nm, microarray) ligand with a tyrosine-based linker arm could be identified in a structure-activity relationship study. Molecular modeling of the glycoclusters bound to the lectin tetramer was also used to rationalize the binding properties observed.

DNA directed immobilization glycocluster array: applications and perspectives.

The present review concerns the recent advances in DNA directed immobilization (DDI) based glycocluster array. The impact of glycan immobilization on subsequent interactions with protein is discussed and the consequent pros and cons of DDI-based glycocluster array are reviewed. Finally, application in the discovery of anti-pathogen molecules is illustrated by screening for galactose or fucose glycoclusters targeting two Pseudomonas aeruginosa virulence factors (PA-IL and PA-IIL).

Effects of the Surface Densities of Glycoclusters on the Determination of Their IC50 and Kd Value Determination by Using a Microarray

Pseudomonas aeruginosa (PA) is an opportunistic bacterium involved in 10–30 % of nosocomial diseases. It causes severe lung injury to cystic fibrosis patients, often leading to patient death. PA strains are multidrug resistant, thus making the design of new therapeutics a challenge for public health. One promising therapeutic option is to design glycoclusters that target the virulence factor of PA. LecA is a galactose‐specific lectin that might be involved in adhesion and biofilm formation by PA. The DNA‐directed immobilization (DDI) microarray is a powerful tool for screening and understanding of structure–activity relationships between glycoclusters and lectins. High‐throughput and multiplexed analysis of lectin–glycocluster interactions on a DDI microarray allows measurement of IC50 and dissociation constant (Kd) values with minute amounts of material. In order to study the robustness of the DDI microarray in determination of IC50 and Kd values, the impact of glycocluster surface density was investigated. The data obtained show that measured IC50 values were influenced by glycocluster surface density: as the density of glycoclusters increases, the measured IC50 values increase too. In contrast, the measured Kd values were not affected by glycocluster surface density, provided that the experimental conditions allow interaction between glycocluster and lectin at single‐molecule level (no surface cluster effect).

Design and Synthesis of Galactosylated Bifurcated Ligands with Nanomolar Affinity for Lectin LecA from Pseudomonas aeruginosa

Lectin A (LecA) from Pseudomonas aeruginosa is an established virulence factor. Glycoclusters that target LecA and are able to compete with human glycoconjugates present on epithelial cells are promising candidates to treat P. aeruginosa infection. A family of 32 glycodendrimers of generation 0 and 1 based on a bifurcated bis‐galactoside motif have been designed to interact with LecA. The influences both of the central multivalent core and of the aglycon of these glycodendrimers on their affinity toward LecA have been evaluated by use of a microarray technique, both qualitatively for rapid screening of the binding properties and also quantitatively (Kd). This has led to high‐affinity LecA ligands with Kd values in the low nanomolar range (Kd=22 nm for the best one).