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Last updated date: Jan 24, 2023 Views: 519 Forks: 0
Adi Nagler1*, Shelly Kalaora2*, Chaya Barbolin3, Michal Alon3, Polina Greenberg3, Gal Yagel3, Aviyah Peri3, Yishai Levin4, Yardena Samuels3**
1 Dana-Farber Cancer Institute; Harvard Medical School, Boston, Massachusetts, United States
2 Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, United States
3 Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
4 The de Botton Institute for Protein Profiling, The Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel
* Contributed equally to this work
** Corresponding author: yardena.samuels@weizmann.ac.il
Lead Contact: Prof. Yardena Samuels
The identification of human leukocyte antigen (HLA)-bound peptides using HLA-peptidomics (also called “Immunopeptidomics”) analysis has provided an in-depth understanding of antigen presentation. A possible obstacle to such an analysis is the co-expression of multiple HLA alleles, thus reducing the specificity of this assay. Here we present a mono-allelic strategy for HLA class-I (HLA-I) expression, which can be further utilized for HLA peptidome profiling by liquid chromatography-tandem mass spectrometry (LC/MS-MS). Using this application combined with the overexpression of genes of interest has been demonstrated to enable the identification of SARS-CoV-2-derived HLA-I peptides. We thus demonstrate a strategy for systematic HLA- allele specific analysis of antigen presentation.
Keywords: HLA-I, mono-allele, lentivirus, peptides
The HLA-I molecules (HLA-A/B/C) are heterodimeric proteins presented on the surface of human nucleated cells, encoded by genes displaying a large degree of polymorphism with hundreds of allelic variations (Jin and Wang, 2003; Robinson et al., 2015). HLA-I bound peptides arise from intracellular proteins that are cleaved by the proteasome and displayed by the surface HLA-I proteins serving as an immunological signature for the detection by CD8+ T cells via their T cell receptor.
Characterization of the HLA-bound peptides by immunopurification and LC-MS/MS has revealed rules for peptide binding to the HLA molecules and has been performed on various HLA alleles.(Abelin et al., 2017; Bassani-Sternberg et al., 2015; Hickman et al., 2004; Rammensee et al., 1995; Vita et al., 2019) This unbiased powerful approach can elucidate novel peptides presented by the HLA-I alleles informing the rational design of CD8+ T cell inducing vaccines to control pathogen infections or to combat tumors.
Here we provide a mono-allelic approach that has been used to detect the presentation of SARS-CoV-2 viral peptides (Nagler et al., 2021), bacterial peptides (Kalaora et al., 2021) and has also been demonstrated efficient in the detection of neoantigens recognized by CD8+ T cells (Bear et al., 2021; Peri et al., 2021). Briefly, the protocol can be broadly outlined as a three-step process. In the first step, DNA sequences coding for the HLA-I alleles are cloned into a lentivirus vector with neomycin selection and lentiviral particles are produced. In the second step, human B-LCL 721.221 (HLA-I null) cells are infected and selected with antibiotics. Productive over-expression of HLA-I is validated approximately two weeks post-infection via flow cytometry. In the third step, the 721.221 HLA-I cells are re-infected with lentivirus containing a gene of interest. This HLA-I monoallelic expression protocol can be further implemented for HLA-I peptidome analysis in which the HLA-I peptide complexes are purified and the HLA-I presented peptides are eluted off the complexes. These peptides are sequenced with LC-MS/MS and identified by a database search.
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Abelin, J.G., Keskin, D.B., Sarkizova, S., Hartigan, C.R., Zhang, W., Sidney, J., Stevens, J., Lane, W., Zhang, G.L., Eisenhaure, T.M., et al. (2017). Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction. Immunity 46, 315-326.
Bassani-Sternberg, M., Pletscher-Frankild, S., Jensen, L.J., and Mann, M. (2015). Mass spectrometry of human leukocyte antigen class I peptidomes reveals strong effects of protein abundance and turnover on antigen presentation. Mol Cell Proteomics 14, 658-673.
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Jin, P., and Wang, E. (2003). Polymorphism in clinical immunology - From HLA typing to immunogenetic profiling. J Transl Med 1, 8.
Kalaora, S., Barnea, E., Merhavi-Shoham, E., Qutob, N., Teer, J.K., Shimony, N., Schachter, J., Rosenberg, S.A., Besser, M.J., Admon, A., et al. (2016). Use of HLA peptidomics and whole exome sequencing to identify human immunogenic neo-antigens. Oncotarget 7, 5110-5117.
Kalaora, S., Nagler, A., Nejman, D., Alon, M., Barbolin, C., Barnea, E., Ketelaars, S.L.C., Cheng, K., Vervier, K., Shental, N., et al. (2021). Identification of bacteria-derived HLA-bound peptides in melanoma. Nature 592, 138-143.
Kalaora, S., and Samuels, Y. (2019). Cancer Exome-Based Identification of Tumor Neo-Antigens Using Mass Spectrometry. Methods Mol Biol 1884, 203-214.
Kalaora, S., Wolf, Y., Feferman, T., Barnea, E., Greenstein, E., Reshef, D., Tirosh, I., Reuben, A., Patkar, S., Levy, R., et al. (2018). Combined Analysis of Antigen Presentation and T-cell Recognition Reveals Restricted Immune Responses in Melanoma. Cancer Discov 8, 1366-1375.
Nagler, A., Kalaora, S., Barbolin, C., Gangaev, A., Ketelaars, S.L.C., Alon, M., Pai, J., Benedek, G., Yahalom-Ronen, Y., Erez, N., et al. (2021). Identification of presented SARS-CoV-2 HLA class I and HLA class II peptides using HLA peptidomics. Cell Rep 35, 109305.
Peri, A., Greenstein, E., Alon, M., Pai, J.A., Dingjan, T., Reich-Zeliger, S., Barnea, E., Barbolin, C., Levy, R., Arnedo-Pac, C., et al. (2021). Combined presentation and immunogenicity analysis reveals a recurrent RAS.Q61K neoantigen in melanoma. J Clin Invest 131.
Rammensee, H.G., Friede, T., and Stevanoviic, S. (1995). MHC ligands and peptide motifs: first listing. Immunogenetics 41, 178-228.
Robinson, J., Halliwell, J.A., Hayhurst, J.D., Flicek, P., Parham, P., and Marsh, S.G. (2015). The IPD and IMGT/HLA database: allele variant databases. Nucleic Acids Res 43, D423-431.
Vita, R., Mahajan, S., Overton, J.A., Dhanda, S.K., Martini, S., Cantrell, J.R., Wheeler, D.K., Sette, A., and Peters, B. (2019). The Immune Epitope Database (IEDB): 2018 update. Nucleic Acids Res 47, D339-D343.
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