MAGE-2 (156-164)

MAGE-2 (156-164) is a synthetic peptide fragment derived from the Melanoma Antigen Gene-2 (MAGE-2) protein, specifically corresponding to residues 156 through 164 of the parent sequence. As a member of the MAGE family, this peptide is of considerable interest in the context of immunological research and tumor antigen studies due to its association with cancer-testis antigens and restricted expression in various malignancies. Its defined sequence and biochemical properties make it a valuable research tool for investigating antigen presentation, T cell recognition, and the molecular mechanisms underlying tumor immunogenicity. Researchers utilize this peptide to dissect the fine specificity of immune responses and to explore its potential as a molecular probe in peptide-based assays.

Epitope mapping: MAGE-2 (156-164) serves as a critical reagent in the mapping of T cell epitopes recognized by cytotoxic T lymphocytes (CTLs). By incorporating this peptide into in vitro assays, scientists can identify the minimal antigenic determinants required for T cell activation and specificity. This approach enables a detailed understanding of immune recognition at the peptide-MHC interface, facilitating the characterization of T cell receptor (TCR) interactions and advancing the development of immunological models that mimic tumor-associated antigen processing.

Antigen presentation studies: The defined sequence of this peptide fragment allows for precise investigations into the mechanisms of antigen processing and presentation by major histocompatibility complex (MHC) molecules. Researchers employ the peptide in cellular systems to examine its binding affinity to specific MHC class I alleles and to assess the efficiency of peptide loading onto antigen-presenting cells. Such studies yield insights into the molecular determinants that govern antigen display on the cell surface, informing the design of peptide-based immunological assays and experimental vaccines.

Peptide-MHC binding assays: As a well-characterized peptide antigen, MAGE-2 (156-164) is utilized in quantitative binding studies to evaluate the interaction dynamics between peptides and MHC molecules. These assays are essential for determining binding kinetics, affinity constants, and the structural requirements for stable peptide-MHC complexes. The resulting data provide a foundation for rational peptide modification and optimization strategies, which are crucial in immunotherapeutic research and the development of diagnostic tools.

Synthetic peptide standard: In analytical and quality control contexts, this peptide functions as a reference standard for chromatographic and mass spectrometric analyses. Its defined molecular structure and sequence fidelity make it suitable for calibrating instrumentation, validating peptide synthesis protocols, and benchmarking analytical methods. The use of such standards ensures reproducibility and accuracy in quantitative peptide analysis, supporting rigorous experimental workflows in peptide chemistry laboratories.

Functional immunology research: The application of MAGE-2 (156-164) extends to functional studies investigating T cell activation, cytokine release, and immune effector functions. By stimulating immune cells with the peptide in vitro, researchers can monitor downstream signaling events, assess immunogenicity, and evaluate the potential for immune modulation. These experiments contribute to a deeper understanding of tumor-immune system interactions and support the identification of novel immunological targets for further exploration.

1. Cationic cell-penetrating peptides are potent furin inhibitors

2. Myotropic activity and immunolocalization of selected neuropeptides of the burying beetle Nicrophorus vespilloides (Coleoptera: Silphidae)

3. Multifunctional peptide-oligonucleotide conjugate promoted sensitive electrochemical biosensing of cardiac troponin I

4. Cell-based adhesion assays for isolation of snake venom’s integrin antagonists

5. Implications of ligand-receptor binding kinetics on GLP-1R signalling