Frontiers in Molecular Biosciences ( IF 5 ) Pub Date : 2020-08-12 , DOI: 10.3389/fmolb.2020.570003 Qiuqiang Chen , Gang Jia , Xiaolei Zhao , Ying Bao , Yu Zhang , Cengiz Ozkan , Boris Minev , Wenxue Ma
The identification of novel biomarkers and therapeutic targets in advanced cancer is critical for improving cancer diagnosis and therapeutics. Survivin (SV) is highly expressed predominantly in most cancer cells and tissues but is absent or undetectable in terminally differentiated normal adult tissues. Therefore, it functions as an almost universal tumor antigen. Peptides are short chains of amino acids linked by peptide bonds. To obtain novel SV decamers that are able to induce SV-specific cytotoxic T lymphocytes (CTLs) with a higher cytotoxic efficiency against cancer cells, major histocompatibility complex (MHC) peptide binding algorithms were conducted to predict nine modified SV95 decamers (from SV95–2 to SV95–10) based on the natural SV95–104 peptide sequence of ELTLGEFLKL (here defined as SV95–1). The fluorescent density of each SV95 peptide was determined by a MHC stability assay, followed by the generation of SV95-specific CTLs with each SV95 peptide (from SV95–1 to SV95–10) and human dendritic cells (DCs) loaded with Poly(lactic-
中文翻译:
用计算机算法筛选的新型survivin肽诱导对癌细胞具有更高细胞毒性效率的细胞毒性T淋巴细胞
晚期癌症中新型生物标志物和治疗靶标的鉴定对于改善癌症诊断和治疗至关重要。Survivin(SV)主要在大多数癌细胞和组织中高表达,但在终末分化的正常成人组织中却不存在或无法检测到。因此,它起着几乎通用的肿瘤抗原的作用。肽是通过肽键连接的氨基酸的短链。为了获得能够诱导SV特异性细胞毒性T淋巴细胞(CTL)对癌细胞具有更高细胞毒性效率的新型SV十聚体,进行了主要的组织相容性复合物(MHC)肽结合算法来预测九种修饰的SV 95十聚体(来自SV 95 –2至SV 95–10),基于自然SV95-104 ELTLGEFLKL的肽序列(在此定义为SV 95-1)。通过MHC稳定性测定来确定每种SV 95肽的荧光密度,然后用每种SV 95肽(从SV 95–1到SV 95–10)和人树突状细胞(DC)生成SV 95特异性CTL。装满Poly(lactic-