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Analysis of the Major Histocompatibility Complex Class I Antigen Presentation Machinery in Human Lung Cancer
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  • Analysis of the Major Histocompatibility Complex Class I Antigen Presentation Machinery in Human Lung Cancer
  • Analysis of the Major Histocompatibility Complex Class I Antigen Presentation Machinery in Human Lung Cancer
저자명
Kim. Hyun-Pyo,Jin. Mi-Rim,Kim. Ick-Young,Ahn. Byung-Yoon,Kang. Seong-Man,Choi. Eui-Ju,Kim. Joon,Kim. Ik-Hwan,Ahn. Kwang-Seog
간행물명
Journal of microbiology and biotechnology
권/호정보
1999년|9권 3호|pp.346-351 (6 pages)
발행정보
한국미생물생명공학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Tumor cells may alter the expression of proteins involved in antigen processing and presentation, allowing them to avoid recognition and elimination by cytotoxic T cells. In order to investigate whether the major histocompatibility complex (MHC) class I-mediated antigen processing machinery is preserved in human lung cancer cell lines, we examined the expression of multiple components of the MHC class I antigen processing pathway, including transporter associated with antigen processing (TAP), $eta_2$-microglobulin, MHC class I molecules, and chaperones which have not been previously examined in this context. Row cytometry analysis showed that the cell surface expression of MHC class I molecules was downregulated in all of the cell lines. While some cell lines showed no detectable expression of MHC class I molecules, pulse-chase experiments showed that MHC class I molecules were synthesized in the other cell lines but not transported from the endoplasmic reticulum to the cell surface. Low or nondetectable levels of TAP1 and/or TAP2 expression were demonstrated by Western blot analysis in all of the cell lines, representing a variety of lung tissue types. In some cases, this was accompanied by loss of tapasin expression. Our findings suggest that downregulation of antigen processing may be one of the strategies used by tumors to escape immune surveillance. This study provides further information for designing the potential therapeutic applications such as immunotherapy and gene therapy against cancers.