Sivadasan Priya, Kumar Gupta Manoj, Sathe Gajanan J, Balakrishnan Lavanya, Palit Priyanka, Gowda Harsha, Suresh Amritha, Abraham Kuriakose Moni, Sirdeshmukh Ravi
Head and Neck Oncology, Mazumdar Shaw Medical Center, Narayana Health, Bangalore 560099, India ; Institute of Bioinformatics, International Tech Park, Bangalore 560066, India.
Institute of Bioinformatics, International Tech Park, Bangalore 560066, India.
Data Brief. 2015 Jul 2;4:374-8. doi: 10.1016/j.dib.2015.06.014. eCollection 2015 Sep.
Salivary proteins are an important source for developing marker-based assays for oral cancers. To get an insight into the proteins present in human saliva, we applied multiple strategies involving affinity-based depletion of abundant proteins, fractionation of the resulting proteins or their tryptic peptides followed by LC-MS/MS analysis, using high resolution mass spectrometry. By integrating the protein identifications observed by us with those from similar workflows employed in earlier investigations, we compiled an updated salivary proteome. We have mapped the salivary proteome to the published data on differentially expressed proteins from oral cancer tissues and also for their secretory features using prediction tools, SignalP 4.1, TMHMM 2c and Exocarta. Proteotypic peptides for the subset of proteins implicated in oral cancer and mapped to any two of the prediction tools for secretory potential have been listed. The data here are related to the research article "Human saliva proteome - a resource of potential biomarkers for oral cancer" in the Journal of Proteomics [1].
唾液蛋白是开发口腔癌基于标志物检测方法的重要来源。为深入了解人类唾液中的蛋白质,我们应用了多种策略,包括基于亲和的丰富蛋白质去除、对所得蛋白质或其胰蛋白酶肽进行分级分离,随后使用高分辨率质谱进行LC-MS/MS分析。通过将我们观察到的蛋白质鉴定结果与早期研究中采用的类似工作流程的结果相结合,我们编制了一份更新的唾液蛋白质组。我们已将唾液蛋白质组映射到已发表的口腔癌组织差异表达蛋白质数据,并使用预测工具SignalP 4.1、TMHMM 2c和Exocarta对其分泌特征进行了映射。已列出与口腔癌相关且映射到任何两种分泌潜力预测工具的蛋白质亚组的蛋白型肽。此处的数据与《蛋白质组学杂志》[1]上的研究文章“人类唾液蛋白质组——口腔癌潜在生物标志物的资源”相关。