Comprehensive Detection of Single Amino Acid Variants and Evaluation of Their Deleterious Potential in a PANC-1 Cell Line.
Comprehensive Detection of Single Amino Acid Variants and Evaluation of Their Deleterious Potential in a PANC-1 Cell Line.
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DOI:
10.1021/acs.jproteome.9b00840
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发表时间:
2020-02
影响因子:
4.4
通讯作者:
Zhijing Tan;Jianhui Zhu;P. Stemmer;Liangliang Sun;Zhichang Yang;Kendall Schultz;Matthew J. Gaffrey;Anthony J. Cesnik;Xinpei Yi;Xiaohu Hao;M. Shortreed;Tujin Shi;D. Lubman
中科院分区:
文献类型:
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作者:
Zhijing Tan;Jianhui Zhu;P. Stemmer;Liangliang Sun;Zhichang Yang;Kendall Schultz;Matthew J. Gaffrey;Anthony J. Cesnik;Xinpei Yi;Xiaohu Hao;M. Shortreed;Tujin Shi;D. Lubman
Identifying single amino acid variants (SAAVs) in cancer is critical for precision oncology. Several advanced algorithms are now available to identify SAAVs but attempts to combine different algorithms and optimize them on large datasets to achieve a more comprehensive coverage of SAAVs have not been implemented. Herein we report an expanded detection of SAAVs in the PANC-1 cell line using three different strategies, which results in identification of 540 SAAVs in the mass spectrometry data. Among the set of 540 SAAVs, 79 are evaluated as deleterious SAAVs based on analysis using novel AssVar software in which one of the driver mutations found in each protein of KRAS, TP53 and SLC37A4 is further validated using independent selected reaction monitoring (SRM) analysis. Our study represents the most comprehensive discovery of SAAVs to date and the first large-scale detection of deleterious SAAVs in the PANC-1 cell line. This work may serve as the basis for future research in pancreatic cancer and personal immunotherapy and treatment.