Literature DB >> 12957394

Modified flow cytometry and cell-ELISA methodology to detect HLA class I antigen processing machinery components in cytoplasm and endoplasmic reticulum.

Takeshi Ogino1, Xinhui Wang, Soldano Ferrone.   

Abstract

Flow cytometry and cell-enzyme linked immunosorbent assay (ELISA) are useful techniques for the quantitative analysis of cell surface antigen expression. Furthermore, flow cytometry can detect intracellular markers in cells permeabilized to facilitate the intracellular penetration of antibodies. However, to the best of our knowledge, neither method has been used to detect antigens located in the endoplasmic reticulum (ER) of cells. This limitation has a negative impact on the analysis of the expression of HLA class I antigen processing machinery components in cells. Therefore in this study, we show that markers located in cytoplasm and ER can be detected by flow cytometry and cell-ELISA in cells sequentially fixed with paraformaldehyde, heated in a microwave oven, permeabilized with saponin and reacted with monoclonal antibodies (mAb). Utilizing LMP10 as an intracytoplasmic marker and calreticulin and tapasin as ER luminal markers, we show that the modified flow cytometry and cell-ELISA are sensitive, simple and reproducible methods to detect HLA class I antigen processing machinery components in cells. Furthermore, testing of 10 human cell lines with HLA class I antigen processing machinery component-specific mAb has shown that the results obtained with the modified flow cytometry and cell-ELISA are significantly correlated. These results altogether indicate that the modified flow cytometry and cell-ELISA methods we have described will facilitate the analysis of the expression of HLA class I antigen processing machinery components in cells under physiological and pathological conditions. The resulting information will contribute to the characterization of the effect of changes in the expression of antigen processing machinery components on the recognition of cells by the host's immune system.

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Year:  2003        PMID: 12957394     DOI: 10.1016/s0022-1759(03)00224-2

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  15 in total

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Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-02-13       Impact factor: 7.038

3.  Immune selection of hot-spot beta 2-microglobulin gene mutations, HLA-A2 allospecificity loss, and antigen-processing machinery component down-regulation in melanoma cells derived from recurrent metastases following immunotherapy.

Authors:  Chien-Chung Chang; Michael Campoli; Nicholas P Restifo; Xinhui Wang; Soldano Ferrone
Journal:  J Immunol       Date:  2005-02-01       Impact factor: 5.422

4.  Chemotherapeutic agents in low noncytotoxic concentrations increase immunogenicity of human colon cancer cells.

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Journal:  Cell Oncol (Dordr)       Date:  2011-01-20       Impact factor: 6.730

5.  Immunoregulatory properties of CD44+ cancer stem-like cells in squamous cell carcinoma of the head and neck.

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6.  Total HLA class I loss in a sarcomatoid renal carcinoma cell line caused by the coexistence of distinct mutations in the two encoding beta2-microglobulin genes.

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7.  Chemotherapy-induced immunogenic modulation of tumor cells enhances killing by cytotoxic T lymphocytes and is distinct from immunogenic cell death.

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Journal:  Cancer Immunol Immunother       Date:  2008-08-28       Impact factor: 6.968

9.  Downregulation and/or release of NKG2D ligands as immune evasion strategy of human neuroblastoma.

Authors:  Lizzia Raffaghello; Ignazia Prigione; Irma Airoldi; Marta Camoriano; Isabella Levreri; Claudio Gambini; Daniela Pende; Alexander Steinle; Soldano Ferrone; Vito Pistoia
Journal:  Neoplasia       Date:  2004 Sep-Oct       Impact factor: 5.715

10.  IL-27 in human secondary lymphoid organs attracts myeloid dendritic cells and impairs HLA class I-restricted antigen presentation.

Authors:  Fabio Morandi; Emma Di Carlo; Soldano Ferrone; Andrea Petretto; Vito Pistoia; Irma Airoldi
Journal:  J Immunol       Date:  2014-02-19       Impact factor: 5.422

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