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neoANT-HILL: an integrated tool for identification of potential neoantigens.
BMC Medical Genomics ( IF 2.7 ) Pub Date : 2020-02-22 , DOI: 10.1186/s12920-020-0694-1
Ana Carolina M F Coelho 1 , André L Fonseca 1 , Danilo L Martins 1 , Paulo B R Lins 1 , Lucas M da Cunha 1, 2 , Sandro J de Souza 1, 3, 4
Affiliation  

BACKGROUND Cancer neoantigens have attracted great interest in immunotherapy due to their capacity to elicit antitumoral responses. These molecules arise from somatic mutations in cancer cells, resulting in alterations on the original protein. Neoantigens identification remains a challenging task due largely to a high rate of false-positives. RESULTS We have developed an efficient and automated pipeline for the identification of potential neoantigens. neoANT-HILL integrates several immunogenomic analyses to improve neoantigen detection from Next Generation Sequence (NGS) data. The pipeline has been compiled in a pre-built Docker image such that minimal computational background is required for download and setup. NeoANT-HILL was applied in The Cancer Genome Atlas (TCGA) melanoma dataset and found several putative neoantigens including ones derived from the recurrent RAC1:P29S and SERPINB3:E250K mutations. neoANT-HILL was also used to identify potential neoantigens in RNA-Seq data with a high sensitivity and specificity. CONCLUSION neoANT-HILL is a user-friendly tool with a graphical interface that performs neoantigens prediction efficiently. neoANT-HILL is able to process multiple samples, provides several binding predictors, enables quantification of tumor-infiltrating immune cells and considers RNA-Seq data for identifying potential neoantigens. The software is available through github at https://github.com/neoanthill/neoANT-HILL.

中文翻译:

neoANT-HILL:鉴定潜在新抗原的综合工具。

背景技术癌症新抗原由于其引发抗肿瘤反应的能力而引起了人们对免疫治疗的极大兴趣。这些分子来自癌细胞中的体细胞突变,导致原始蛋白质发生改变。由于高假阳性率,新抗原的鉴定仍然是一项挑战性的任务。结果我们已经开发了一种有效的自动化管线,用于鉴定潜在的新抗原。neoANT-HILL整合了多种免疫基因组分析,以改善来自下一代序列(NGS)数据的新抗原检测。该管道已在预构建的Docker映像中进行了编译,因此下载和设置所需的计算背景最少。NeoANT-HILL被用于癌症基因组图谱(TCGA)黑色素瘤数据集,发现了几种推定的新抗原,包括源自复发性RAC1:P29S和SERPINB3:E250K突变的新抗原。neoANT-HILL还用于以高灵敏度和特异性在RNA-Seq数据中鉴定潜在的新抗原。结论neoANT-HILL是一种用户友好的工具,具有图形界面,可有效执行新抗原预测。neoANT-HILL能够处理多个样品,提供多个结合预测因子,能够量化浸润肿瘤的免疫细胞,并考虑使用RNA-Seq数据来识别潜在的新抗原。该软件可通过github上的https://github.com/neoanthill/neoANT-HILL获得。neoANT-HILL还用于以高灵敏度和特异性在RNA-Seq数据中鉴定潜在的新抗原。结论neoANT-HILL是一种用户友好的工具,具有图形界面,可有效执行新抗原预测。neoANT-HILL能够处理多个样品,提供多个结合预测因子,能够量化浸润肿瘤的免疫细胞,并考虑使用RNA-Seq数据来识别潜在的新抗原。该软件可通过github上的https://github.com/neoanthill/neoANT-HILL获得。neoANT-HILL还用于以高灵敏度和特异性在RNA-Seq数据中鉴定潜在的新抗原。结论neoANT-HILL是一种用户友好的工具,具有图形界面,可有效执行新抗原预测。neoANT-HILL能够处理多个样品,提供多个结合预测因子,能够量化浸润肿瘤的免疫细胞,并考虑使用RNA-Seq数据来识别潜在的新抗原。该软件可通过github上的https://github.com/neoanthill/neoANT-HILL获得。可以量化浸润肿瘤的免疫细胞,并考虑使用RNA-Seq数据来识别潜在的新抗原。该软件可通过github上的https://github.com/neoanthill/neoANT-HILL获得。可以量化浸润肿瘤的免疫细胞,并考虑使用RNA-Seq数据来识别潜在的新抗原。该软件可通过github上的https://github.com/neoanthill/neoANT-HILL获得。
更新日期:2020-04-22
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