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Differential array sensing for cancer cell classification and novelty detection†
Organic & Biomolecular Chemistry ( IF 2.9 ) Pub Date : 2017-11-15 00:00:00 , DOI: 10.1039/c7ob02174g
Alexandra M. Gade 1, 2, 3, 4 , Margaret K. Meadows 1, 2, 3, 4 , Andrew D. Ellington 2, 3, 4, 5 , Eric V. Anslyn 1, 2, 3, 4
Affiliation  

A series of semi-specific peptides reported in the literature to bind various epitopes on cell surfaces were used in a differential sensing array to pattern cell line identity. The peptides were conjugated to thiazole orange to act as both a fluorescence reporter and a DNA intercalator. Fluorescence data for the peptides exposed to cells, with and without exogenous double stranded DNA (dsDNA), led to chemometric fingerprints for eight cancer cell lines. In contrast to the use of structures meant to act in completely non-specific ways, the use of a limited level of specificity generated linear discriminant score plots with high dimensionality, i.e. several principle components carrying significant variance. The arrays were found to correctly classify the cell lines from 60% to 100% depending upon the cell line. Due to the high dimensionality score plots, the identification of cell lines that were not part of the training set was examined. Support vector machines were used as a novelty detection routine and showed that a cancer line not part of the original training set could be correctly identified as being novel.

中文翻译:

用于癌细胞分类和新颖性检测的差异阵列传感

文献中报道的一系列结合细胞表面上各种表位的半特异性肽被用于差异传感阵列中,以鉴定细胞系的同一性。将肽与噻唑橙缀合,以同时充当荧光报告分子和DNA嵌入剂。有和没有外源双链DNA(dsDNA)暴露于细胞的肽的荧光数据导致了八种癌细胞系的化学计量学指纹。与使用旨在以完全非特定方式起作用的结构相反,使用有限水平的特定性会生成具有高维的线性判别分数图,几个具有重大差异的主要成分。发现该阵列可根据细胞系正确地将细胞系从60%分为100%。由于维数得分图高,因此检查了不属于训练集的细胞系的鉴定。支持向量机被用作新奇检测程序,并表明可以将不属于原始训练集的癌症线正确地识别为新奇的。
更新日期:2017-11-15
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