Abstract
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].
Highlights
Value of the dataProteins identified, compiled from published LC–MS/MS analysis and the data from our recent analysis represent an updated salivary proteome
Salivary proteins are an important source for developing markerbased assays for oral cancers
The list of salivary sub-proteome includes proteins which are reported to be differentially expressed in oral cancer tissue specimens and have secretory potential
Summary
Proteins identified, compiled from published LC–MS/MS analysis and the data from our recent analysis represent an updated salivary proteome. The list of salivary sub-proteome includes proteins which are reported to be differentially expressed in oral cancer tissue specimens and have secretory potential. A high confidence list of proteins along with their proteotypic peptides is supported by their relevance in oral cancer and predicted secretory features. This subset would serve as an important reference for developing targeted analysis for clinical applications. Experimental factors Human saliva proteomic analysis, processing and fractionation of salivary proteins, mass spectrometry, data analysis. Mass spectrometry was carried out using high resolution MS platform
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