Bio

Professional Education


  • Doctor of Philosophy, Lunds Universitet (2012)
  • Master of Science, Lunds Universitet (2002)

Stanford Advisors


Publications

All Publications


  • T-cell immunopeptidomes reveal cell subtype surface markers derived from intracellular proteins. Proteomics Olsson, N., Schultz, L. M., Zhang, L., Khodadoust, M. S., Narayan, R., Czerwinski, D. K., Levy, R., Elias, J. E. 2018

    Abstract

    Immunopeptidomes promise novel surface markers as ideal immunotherapy targets, but their characterization by mass spectrometry (MS) remains challenging. Until recently, cell numbers exceeding 109were needed to survey thousands of HLA ligands. Such limited analytical sensitivity has historically constrained the types of clinical specimens that can be evaluated to cell cultures or bulk tissues. Measuring immunopeptidomes from purified cell subpopulations would be preferable for many applications, particularly those evaluating rare, primary hematopoietic cell lineages. Here, we test the feasibility of immunopeptidome profiling from limited numbers of primary purified human regulatory T cells (TReg), conventional T cells (Tconv) and activated T cells. The combined T-cell immunopeptide dataset reported here contains 13,804 unique HLA ligands derived from 5,049 proteins. Of these, more than 700 HLA ligands were derived from 82 proteins that we exclusively identified from TReg-enriched cells. This study 1) demonstrates that primary, lineage-enriched T cell supbopulations recovered from single donors are compatible with immunopeptidome analysis; 2) presents new TReg-biased ligand candidates; and 3) supports immunopeptidome surveys value for revealing T cell biology that may not be apparent from expression data alone. Taken together, these findings open up new avenues for targeting TRegand abrogating their suppressive functions to treat cancer. This article is protected by copyright. All rights reserved.

    View details for DOI 10.1002/pmic.201700410

    View details for PubMedID 29493099

  • Antigen presentation profiling reveals recognition of lymphoma immunoglobulin neoantigens NATURE Khodadoust, M. S., Olsson, N., Wagar, L. E., Haabeth, O. A., Chen, B., Swaminathan, K., Rawson, K., Liu, C. L., Steiner, D., Lund, P., Rao, S., Zhang, L., Marceau, C., Stehr, H., Newman, A. M., Czerwinski, D. K., Carlton, V. E., Moorhead, M., Faham, M., Kohrt, H. E., Carette, J., Green, M. R., Davis, M. M., Levy, R., Elias, J. E., Alizadeh, A. A. 2017; 543 (7647): 723-?

    Abstract

    Cancer somatic mutations can generate neoantigens that distinguish malignant from normal cells. However, the personalized identification and validation of neoantigens remains a major challenge. Here we discover neoantigens in human mantle-cell lymphomas by using an integrated genomic and proteomic strategy that interrogates tumour antigen peptides presented by major histocompatibility complex (MHC) class I and class II molecules. We applied this approach to systematically characterize MHC ligands from 17 patients. Remarkably, all discovered neoantigenic peptides were exclusively derived from the lymphoma immunoglobulin heavy- or light-chain variable regions. Although we identified MHC presentation of private polymorphic germline alleles, no mutated peptides were recovered from non-immunoglobulin somatically mutated genes. Somatic mutations within the immunoglobulin variable region were almost exclusively presented by MHC class II. We isolated circulating CD4(+) T cells specific for immunoglobulin-derived neoantigens and found these cells could mediate killing of autologous lymphoma cells. These results demonstrate that an integrative approach combining MHC isolation, peptide identification, and exome sequencing is an effective platform to uncover tumour neoantigens. Application of this strategy to human lymphoma implicates immunoglobulin neoantigens as targets for lymphoma immunotherapy.

    View details for DOI 10.1038/nature21433

    View details for Web of Science ID 000397619700057

    View details for PubMedID 28329770