Structural modeling and biochemical studies reveal insights into the molecular basis of the recognition ofβ-2-microglobulin by antibody BBM.1

Comparative validation of a microcapsule-based immunoassay for the detection of proteins and nucleic acids

To detect and study diseases, research and clinical laboratories must quantify specific biomarkers in the plasma and urine of patients with precision, sensitivity, and cost-effectiveness. Newly developed techniques, such as particle-based immunoassays, must be validated in these terms against standard methods such as enzyme-linked immunosorbent assays (ELISAs). Here, we compare the performance of assays that use hollow polyelectrolyte microcapsules with assays based on solid plastic beads, and with standard microplate immunoassays. The polyelectrolyte microcapsules detect the disease biomarker beta-2 microglobulin with a fifty-fold increase in sensitivity than polystyrene (PS) beads. For sequence-specific nucleic acid detection, the oligonucleotide-coated microcapsules exhibit a two-fold lower increase in sensitivity over PS beads. The microcapsules also detect the presence of a monoclonal antibody in hybridoma supernatant at a fifty-six-fold increase in sensitivity compared to a microplate assay. Overall, polyelectrolyte microcapsule-based assays are more sensitive for the detection of protein and nucleic acid analytes than PS beads and microplate assays, and they are viable alternatives as a platform for the rapid quantitative detection of analytes at very low concentrations.

Characterization of the Canine MHC Class I DLA-88*50101 Peptide Binding Motif as a Prerequisite for Canine T Cell Immunotherapy

There are limitations in pre-clinical settings using mice as a basis for clinical development in humans. In cancer, similarities exist between humans and dogs; thus, the dog patient can be a link in the transition from laboratory research on mouse models to clinical trials in humans. Knowledge of the peptides presented on MHC molecules is fundamental for the development of highly specific T cell-based immunotherapies. This information is available for human MHC molecules but is absent for the canine MHC. In the present study, we characterized the binding motif of dog leukocyte antigen (DLA) class I allele DLA-88*50101, using human C1R and K562 transfected cells expressing the DLA-88*50101 heavy chain. MHC class I immunoaffinity-purification revealed 3720 DLA-88*50101 derived peptides, which enabled the determination of major anchor positions. The characterized binding motif of DLA-88*50101 was similar to HLA-A*02:01. Peptide binding analyses on HLA-A*02:01 and DLA-88*50101 via flow cytometry showed weak binding of DLA-88*50101 derived peptides to HLA-A*02:01, and vice versa. Our results present for the first time a detailed peptide binding motif of the canine MHC class I allelic product DLA-88*50101. These data support the goal of establishing dogs as a suitable animal model for the evaluation and development of T cell-based cancer immunotherapies, benefiting both dog and human patients.

Kinetics and binding geometries of the complex between β2-microglobulin and its antibody: An AFM and SPR study

β2-Microglobulin (B2M) is a human protein involved in the regulation of immune response and represents a useful biomarker for several diseases. Recently, anti-B2M monoclonal antibodies have been introduced as innovative therapeutic agents. A deeper understanding of the molecular interaction between the two partners could be of utmost relevance for both designing array-based analytical devices and improving current immunotherapies. A visualization at the nanoscale performed by Atomic Force Microscopy revealed that binding of B2M to the antibody occurred according to two preferred interaction geometries. Additionally, Atomic Force Spectroscopy and Surface Plasmon Resonance provided us with detailed information on the binding kinetics and the energy landscape of the complex, both at the single molecule level and in bulk conditions. Combination of these complementary techniques contributed to highlight subtle differences in the kinetics behaviour characterizing the complexes. Collectively, the results may deserve significant interest for designing, development and optimization of novel generations of nanobiosensor platforms.