@article{04a3104808494defaebbca4ebab730f8,
title = "Identification of potential biomarkers of head and neck squamous cell carcinoma using iTRAQ based quantitative proteomic approach",
abstract = "Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers in India. Despite improvements in treatment strategy, the survival rates of HNSCC patients remain poor. Thus, it is necessary to identify biomarkers that can be used for early detection of disease. In this study, we employed iTRAQ-based quantitative mass spectrometry analysis to identify dysregulated proteins from a panel of head and neck squamous cell carcinoma (HNSCC) cell lines. We identified 2468 proteins, of which 496 proteins were found to be dysregulated in at least two out of three HNSCC cell lines compared to immortalized normal oral keratinocytes. We detected increased expression of replication protein A1 (RPA1) and heat shock protein family H (Hsp110) member 1 (HSPH1), in HNSCC cell lines compared to control. The differentially expressed proteins were further validated using parallel reaction monitoring (PRM) and western blot analysis in HNSCC cell lines. Immunohistochemistry-based validation using HNSCC tissue microarrays revealed overexpression of RPA1 and HSPH1 in 15.7% and 32.2% of the tested cases, respectively. Our study illustrates quantitative proteomics as a robust approach for identification of potential HNSCC biomarkers. The proteomic data has been submitted to ProteomeXchange Consortium (http://www.proteomecentral.proteomexchange.org) via the PRIDE public data repository accessible using the data identifier - PXD009241.",
keywords = "HNSCC, Mass spectrometry, OKF6/TERT1, Parallel reaction monitoring, iTRAQ",
author = "Niraj Babu and Sonali Mohan and Vishalakshi Nanjappa and Sandip Chavan and Jayshree Advani and Khan, {Aafaque Ahmed} and Santosh Renuse and Aneesha Radhakrishnan and Prasad, {T. S.Keshava} and Kumar, {Rekha V.} and Ray, {Jay Gopal} and Manjusha Biswas and Saravanan Thiyagarajan and Califano, {Joseph A.} and David Sidransky and Harsha Gowda and Aditi Chatterjee",
note = "Funding Information: We thank the Department of Biotechnology (DBT), Government of India for research support to the Institute of Bioinformatics (IOB), Bangalore. This work was supported by Department of Science and Technology (DST) grants (SERC/LS-439/2011 and SR/SO/HS/0208/2013). IOB is supported by DBT Program Support on Neuroproteomics and infrastructure for proteomic data analysis (BT/01/COE/08/05). NB and JA are recipients of the Senior Research Fellowship from the Council of Scientific and Industrial Research (CSIR), New Delhi, India. Funding Information: We thank the Department of Biotechnology (DBT) , Government of India for research support to the Institute of Bioinformatics (IOB), Bangalore. This work was supported by Department of Science and Technology (DST) grants ( SERC/LS-439/2011 and SR/SO/HS/0208/2013 ). IOB is supported by DBT Program Support on Neuroproteomics and infrastructure for proteomic data analysis ( BT/01/COE/08/05 ). NB and JA are recipients of the Senior Research Fellowship from the Council of Scientific and Industrial Research (CSIR), New Delhi, India. Publisher Copyright: {\textcopyright} 2018 The Authors",
year = "2018",
month = aug,
doi = "10.1016/j.dib.2018.05.100",
language = "English (US)",
volume = "19",
pages = "1124--1130",
journal = "Data in Brief",
issn = "2352-3409",
publisher = "Elsevier BV",
}