4-1BBL as a Mediator of Cross-Talk between Innate, Adaptive, and Regulatory Immunity against Cancer

The ability of tumor cells to evade the immune system is one of the main challenges we confront in the fight against cancer. Multiple strategies have been developed to counteract this situation, including the use of immunostimulant molecules that play a key role in the anti-tumor immune response. Such a response needs to be tumor-specific to cause as little damage as possible to healthy cells and also to track and eliminate disseminated tumor cells. Therefore, the combination of immunostimulant molecules and tumor-associated antigens has been implemented as an antitumor therapy strategy to eliminate the main obstacles confronted in conventional therapies. The immunostimulant 4-1BBL belongs to the tumor necrosis factor (TNF) family and it has been widely reported as the most effective member for activating lymphocytes. Hence, we will review the molecular, pre-clinical, and clinical applications in conjunction with tumor-associated antigens in antitumor immunotherapy, as well as the main molecular pathways involved in this association

Secretion of biologically active interferon-gamma inducible protein-10 (IP-10) by Lactococcus lactis

<p>Abstract</p> <p>Background</p> <p>Chemokines are a large group of chemotactic cytokines that regulate and direct migration of leukocytes, activate inflammatory responses, and are involved in many other functions including regulation of tumor development. Interferon-gamma inducible-protein-10 (IP-10) is a member of the C-X-C subfamily of the chemokine family of cytokines. IP-10 specifically chemoattracts activated T lymphocytes, monocytes, and NK cells. IP-10 has been described also as a modulator of other antitumor cytokines. These properties make IP-10 a novel therapeutic molecule for the treatment of chronic and infectious diseases. Currently there are no suitable live biological systems to produce and secrete IP-10. <it>Lactococcus lactis </it>has been well-characterized over the years as a safe microorganism to produce heterologous proteins and to be used as a safe, live vaccine to deliver antigens and cytokines of interest. Here we report a recombinant strain of <it>L. lactis </it>genetically modified to produce and secrete biologically active IP-10.</p> <p>Results</p> <p>The IP-10 coding region was isolated from human cDNA and cloned into an <it>L. lactis </it>expression plasmid under the regulation of the pNis promoter. By fusion to the usp45 secretion signal, IP-10 was addressed out of the cell. Western blot analysis demonstrated that recombinant strains of <it>L. lactis </it>secrete IP-10 into the culture medium. Neither degradation nor incomplete forms of IP-10 were detected in the cell or supernatant fractions of <it>L. lactis</it>. In addition, we demonstrated that the NICE (nisin-controlled gene expression) system was able to express IP-10 "de novo" even two hours after nisin removal. This human IP-10 protein secreted by <it>L. lactis </it>was biological active as demonstrated by Chemotaxis assay over human CD3+T lymphocytes.</p> <p>Conclusion</p> <p>Expression and secretion of mature IP-10 was efficiently achieved by <it>L. lactis </it>forming an effective system to produce IP-10. This recombinant IP-10 is biologically active as demonstrated by its ability to chemoattract human CD3+ T lymphocytes. This strain of recombinant <it>L. lactis </it>represents a potentially useful tool to be used as a live vaccine <it>in vivo</it>.</p

Targeting and retention of HPV16 E7 to the endoplasmic reticulum enhances immune tumour protection

The endoplasmic reticulum (ER) is where the major histocompatibility complex (MHC) class I molecules are loaded with epitopes to cause an immune cellular response. Most of the protein antigens are degraded in the cytoplasm to amino acids and few epitopes reach the ER. Antigen targeting of this organelle by Calreticulin (CRT) fusion avoids this degradation and enhances the immune response. We constructed a recombinant adenovirus to express the E7 antigen with an ER-targeting signal peptide (SP) plus an ER retention signal (KDEL sequence). In cell-culture experiments we demonstrated that this new E7 antigen, SP-E7-KDEL, targeted the ER. Infection of mice with this recombinant adenovirus that expresses SP-E7-KDEL showed interferon induction and tumour-protection response, similar to that provided by an adenovirus expressing the E7 antigen fused to CRT. This work demonstrated that just by adding a SP and the KDEL sequence, antigens can be targeted and retained in the ER with a consequent enhancement of immune response and tumour protection. These results will have significant clinical applications

Heterologous Protein Expression by Lactococcus lactis

This chapter describes the use of Lactococcus lactis as a safe and efficient cell factory to produce heterologous proteins of medical interest. The relevance of the use of this lactic acid bacterium (LAB) is that it is a noncolonizing, nonpathogenic microorganism that can be delivered in vivo at a mucosal level. The use of strains of L. lactis in clinical trials in humans to alleviate inflammatory bowel diseases has opened up the possibility of using this same LAB to target other diseases. Several crucial aspects are addressed in this chapter, such as the expression of heterologous protein, subcellular compartment into which the heterologous protein is located, and description of a standardized protocol to process samples in cell and cell-free fractions to detect the targeted protein expressed by L. lactis

Informatica 29 (2005) 13--32 13

this paper we make a survey of various preprocessing techniques including the statistical method for volatile time series forecasting using Regularization Networks (RNs). These methods improve the performance of Regularization Networks i.e. using Independent Component Analysis (ICA) algorithms and filtering as preprocessing tools. The preprocessed data is introduced into a Regularized Artificial Neural Network (ANN) based on radial basis functions (RBFs) and the prediction results are compared with the ones we get without these preprocessing tools, with the high computational effort method based on multidimensional regularization networks (MRN) and with the Principal Component Analysis (PCA) techniqu