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Neoantigen Discovery in Human Cancers

机译:在人类癌症中的新宿老人发现

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摘要

Cancer is caused by alterations to DNA that ultimately are translated into altered proteins with unique amino acid sequenceswhen compared with their counterparts in normal cells. By inference, these altered proteins have the potential to elicit immune responses such as T-cell recognition, if properly presented by the immune system following protein degradation and major histocompatibility complex binding. Historically, identifying tumor-specific mutant antigens was painstaking work that involved molecular cloning and immune screening. This scenario has changed dramatically in the last few years as new sequencing technology combined with computational data analysis can identify the unique tumor peptide sequences, and algorithmic evaluation of these novel peptides can estimate their binding affinity to the major histocompatibility complex haplotypes encoded by each genome. This process can identify unique neoantigens in each cancer, either as a means of characterizing the overall neoantigen load or as a precursor to designing a personalized cancer vaccine. An overview of the data and analysis methods used to identify cancer neoantigens will be presented along with an in-depth consideration of the nuances of each step.
机译:癌症是由对DNA的改变引起的,最终被转化为与正常细胞中的对应物相比的独特氨基酸序列的改变的蛋白质。通过推断,如果通过蛋白质降解和主要的组织相容性复合物结合,则这些改变的蛋白质具有引发免疫应答,例如T细胞识别。从历史上看,鉴定肿瘤特异性突变体抗原是涉及分子克隆和免疫筛选的诱饵工作。在过去几年中,这种情况发生了显着的变化,因为新的测序技术结合计算数据分析可以识别独特的肿瘤肽序列,并且这些新肽的算法评估可以估计其对每个基因组编码的主要组织相容性复杂单倍型的结合亲和力。该过程可以鉴定每种癌症中的独特新抗原,作为表征整体新洲荷兰载荷的手段或作为设计个性化癌症疫苗的前体。用于识别癌症新抗原的数据和分析方法的概述,并提出了对每个步骤的细微差的深入考虑。

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