识别肺癌蛋白质组数据中翻译后修饰的交叉关系

bioRxiv Pub Date : 2024-08-08 DOI:10.1101/2024.08.06.606765

Shengzhi Lai, Shuaijian Dai, Peize Zhao, Chen Zhou, Ning Li, Weichuan Yu

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引用次数: 0

摘要

在一个包含两千多万条串联质谱的肺鳞癌数据集中，我们使用名为PIPI3的新搜索引擎发现了860个具有翻译后修饰（PTM）的肽段，与正常样本相比，这些肽段在肺癌样本中显著上调。在与上调基因本体术语相关的修饰肽段中，约50%带有多个PTM。PIPI3证明了它在PTM串扰研究中的强大洞察力。

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Identifying crosstalks among post-translational modifications in lung cancer proteomic data

In a lung squamous cell carcinoma data set containing over 20 million tandem mass spectra, we identified 860 peptides with post-translational modifications (PTMs) that were significantly upregulated in lung cancer samples as compared to normal samples using our new search engine named PIPI3. Among the modified peptides related to upregulated gene ontology terms, about 50% carried multiple PTMs. PIPI3 demonstrated its enabling power to provide insight into PTM crosstalk research.

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bioRxiv

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