Optimization of a Soft Ensemble Vote Classifier for the Prediction of Chimeric Virus-Like Particle Solubility and Other Biophysical Properties.

Chimeric virus-like particles (cVLPs) are protein-based nanostructures applied as investigational vaccines against infectious diseases, cancer, and immunological disorders. Low solubility of cVLP vaccine candidates is a challenge that can prevent development of these very substances. Solubility of cVLPs is typically assessed empirically, leading to high time and material requirements. Prediction of cVLP solubility in silico can aid in reducing this effort. Protein aggregation by hydrophobic interaction is an important factor driving protein insolubility. In this article, a recently developed soft ensemble vote classifier (sEVC) for the prediction of cVLP solubility was used based on 91 literature amino acid hydrophobicity scales. Optimization algorithms were developed to boost model performance, and the model was redesigned as a regression tool for ammonium sulfate concentration required for cVLP precipitation. The present dataset consists of 568 cVLPs, created by insertion of 71 different peptide sequences using eight different insertion strategies. Two optimization algorithms were developed that (I) modified the sEVC with regard to systematic misclassification based on the different insertion strategies, and (II) modified the amino acid hydrophobicity scale tables to improve classification. The second algorithm was additionally used to synthesize scales from random vectors. Compared to the unmodified model, Matthew's Correlation Coefficient (MCC), and accuracy of the test set predictions could be elevated from 0.63 and 0.81 to 0.77 and 0.88, respectively, for the best models. This improved performance compared to literature scales was suggested to be due to a decreased correlation between synthesized scales. In these, tryptophan was identified as the most hydrophobic amino acid, i.e., the amino acid most problematic for cVLP solubility, supported by previous literature findings. As a case study, the sEVC was redesigned as a regression tool and applied to determine ammonium sulfate concentrations for the precipitation of cVLPs. This was evaluated with a small dataset of ten cVLPs resulting in an R 2 of 0.69. In summary, we propose optimization algorithms that improve sEVC model performance for the prediction of cVLP solubility, allow for the synthesis of amino acid scale tables, and further evaluate the sEVC as regression tool to predict cVLP-precipitating ammonium sulfate concentrations.

Displaying Tetra-Membrane Spanning Claudins on Enveloped Virus-Like Particles for Cancer Immunotherapy.

Virus-like particles (VLPs) displaying foreign antigens have become an important tool in vaccination including the induction of immune responses against self-antigens. Claudin 6 (CLDN6) has been identified as tumor-associated antigen and is therefore a potential target for tumor vaccination strategies. However, as tetra-membrane spanning protein its incorporation into VLPs while preserving a native fold is challenging. Here, we attempted the incorporation of a panel of engineered CLDN6 variants into the membrane of retrovirus-derived VLPs. Interestingly, wild-type CLDN6 revealed the most efficient display. VLPs presenting CLDN6 or CLDN9 derived from different donor species were produced and preservation of their native confirmation was demonstrated by antibody binding assays. VLPs displaying murine CLDN6 were used to immunize mice. Antibodies recognizing native CLDN6 as displayed on cell surfaces and mediating complement-dependent cytotoxicity were elicited in vaccinated animals. The data suggest applications of CLDN6 displaying VLPs in cancer immunotherapy.

Antigen-specific oncolytic MV-based tumor vaccines through presentation of selected tumor-associated antigens on infected cells or virus-like particles.

Recombinant vaccine strain-derived measles virus (MV) is clinically tested both as vaccine platform to protect against other pathogens and as oncolytic virus for tumor treatment. To investigate the potential synergism in anti-tumoral efficacy of oncolytic and vaccine properties, we chose Ovalbumin and an ideal tumor antigen, claudin-6, for pre-clinical proof of concept. To enhance immunogenicity, both antigens were presented by retroviral virus-like particle produced in situ during MV-infection. All recombinant MV revealed normal growths, genetic stability, and proper expression and presentation of both antigens. Potent antigen-specific humoral and cellular immunity were found in immunized MV-susceptible IFNAR-/--CD46Ge mice. These immune responses significantly inhibited metastasis formation or increased therapeutic efficacy compared to control MV in respective novel in vivo tumor models using syngeneic B16-hCD46/mCLDN6 murine melanoma cells. These data indicate the potential of MV to trigger selected tumor antigen-specific immune responses on top of direct tumor lysis for enhanced efficacy.

Highly specific auto-antibodies against claudin-18 isoform 2 induced by a chimeric HBcAg virus-like particle vaccine kill tumor cells and inhibit the growth of lung metastases.

Strategies for antibody-mediated cancer immunotherapy, such as active immunization with virus-like particle (VLP)-based vaccines, are gaining increasing attention. We developed chimeric hepatitis B virus core antigen (HBcAg)-VLPs that display a surface epitope of the highly selective tumor-associated cell lineage marker claudin-18 isoform 2 (CLDN18.2) flanked by a mobility-increasing linker. Auto-antibodies elicited by immunization with these chimeric HBcAg-VLPs in 2 relevant species (mouse and rabbit) bind with high precision to native CLDN18.2 at physiologic densities on the surface of living cells but not to the corresponding epitope of the CLDN18.1 splice variant that differs by merely one amino acid. The induced auto-antibodies are capable of efficiently killing CLDN18.2 expressing cells in vitro by complement-dependent and antibody-dependent cell-mediated cytotoxicity. Moreover, they provide partial protective immunity against the challenge of mice with syngeneic tumor cells stably expressing CLDN18.2. Our study provides a first proof-of-concept that immunization combining VLPs as antigen carriers with specific conformational epitopes of a highly selective differentiation antigen may elicit auto-antibodies with high cytocidal and tumoricidal potential.

Expression profiling of autoimmune regulator AIRE mRNA in a comprehensive set of human normal and neoplastic tissues.

Defects in the autoimmune regulator (AIRE) gene cause the monogenic autoimmune disease autoimmune polyendocrinopathy syndrome type 1 (APS-1), which is characterized by a loss of self-tolerance to multiple organs. In concordance with its role in immune tolerance, AIRE is strongly expressed in medullary thymic epithelial cells (mTECs). Data on mechanisms controlling AIRE activation and the expression of this gene in other tissues are fragmentary and controversial. We report here AIRE mRNA expression profiling of a large set of normal human tissues and cells, tumor specimen and methylation deficient cell lines. On this broad data basis we found that AIRE mRNA expression is confined to mTECs in thymus and to lymph node tissue and that DNA hypomethylation contributes to transcriptional control of this gene.

Regulation of the expression of mouse TAP-associated glycoprotein (tapasin) by cytokines.

The expression of antigen presenting MHC class I molecules can be enhanced through cytokines, e.g. upon infection with bacteria or viruses, either directly by enhancing class I gene transcription or by increasing the amounts of accessory proteins of the loading complex. Tapasin plays a significant role in the peptide loading of class I molecules. Here, we describe recognition motifs of cytokine inducible transcription factors in the promoter region of the mouse tapasin gene, most of them clustered within the 140 base pairs upstream of the start codon. Tapasin mRNA was strongly induced in vivo after infection with the facultatively intracellular bacterium Listeria monocytogenes in an IFN-gamma-dependent fashion. Accordingly, both tapasin mRNA and protein were strongly induced in a time and dose dependent manner in embryonic fibroblasts treated with the cytokines IFN-gamma and IFN-beta, and weakly induced after treatment with TNF-alpha. Co-stimulation of tapasin by TNF-alpha and IFN-gamma resulted in a weak synergistic effect. Using fibroblasts either lacking IRF-1 or inhibited in protein synthesis we show that secondary transcription factors are necessary for a maximal stimulation of tapasin expression upon IFN-gamma stimulation. The sequential induction of TAP1, LMP2, and tapasin before the stimulated expression of class I heavy chain is discussed.