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树突状细胞对肿瘤抗原的获取与呈递

Acquisition and Presentation of Tumor Antigens by Dendritic Cells.

作者信息

Bonaccorsi Irene, Campana Stefania, Morandi Barbara, Ferlazzo Guido

机构信息

Laboratory of Immunology and Biotherapy, Department of Human Pathology, University of Messina, Messina, Italy.

Department of Experimental Medicine (DIMES), University of Genova, Genoa, Italy; Center of excellence in Biomedical Research, Centro di Eccellenza perla Ricerca Biomedica (CEBR), University of Genova, Genoa, Italy.

出版信息

Crit Rev Immunol. 2015;35(5):349-64. doi: 10.1615/critrevimmunol.v35.i5.10.

Abstract

Dendritic cells (DCs) are master regulators of the immune response and, because of their peculiar features in antigen acquisition, processing, and presentation, they play a critical role in activating an efficient antigenspecific T-lymphocyte response against tumors. However, the DC family is composed of different cell subsets, which may differently contribute to tumor-specific T-cell activation. In addition to the DC subset involved, the induction of a tumor-specific adaptive immune response is also dependent on DC interactions with other innate cell effectors, such as natural killer cells. The different modalities by which DCs can acquire tumor antigens also significantly affect antigen presentation because, in addition to the presentation of tumor antigens on MHC class II upon the classical exogenous antigen processing pathway, DCs are equipped to directly activate cytotoxic T cells via both cross-priming and cross-dressing. Here, the different forms of tumor antigen presentation by DCs are reviewed and discussed. We also discuss the ways in which this novel information could be exploited in the design of DC-based cancer vaccines.

摘要

树突状细胞(DCs)是免疫反应的主要调节者,由于其在抗原获取、加工和呈递方面的独特特性,它们在激活针对肿瘤的高效抗原特异性T淋巴细胞反应中发挥着关键作用。然而,DC家族由不同的细胞亚群组成,这些亚群对肿瘤特异性T细胞激活的贡献可能不同。除了所涉及的DC亚群外,肿瘤特异性适应性免疫反应的诱导还依赖于DC与其他先天细胞效应器(如自然杀伤细胞)的相互作用。DC获取肿瘤抗原的不同方式也显著影响抗原呈递,因为除了通过经典的外源性抗原加工途径在MHC II类分子上呈递肿瘤抗原外,DC还具备通过交叉呈递和交叉着装直接激活细胞毒性T细胞的能力。在此,对DC呈递肿瘤抗原的不同形式进行综述和讨论。我们还讨论了如何在基于DC的癌症疫苗设计中利用这些新信息。

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