@article{1f72d9720f604c23bf75bc91c85de522,
title = "Altered signaling associated with chronic arsenic exposure in human skin keratinocytes",
abstract = "Modulation of signaling pathways upon chronic arsenic exposure remains poorly studied. Here, we carried out SILAC-based quantitative phosphoproteomics analysis to dissect the signaling induced upon chronic arsenic exposure in human skin keratinocyte cell line, HaCaT. We identified 4171 unique phosphosites derived from 2000 proteins. We observed differential phosphorylation of 406 phosphosites (twofold) corresponding to 305 proteins. Several pathways involved in cytoskeleton maintenance and organization were found to be significantly enriched (p<0.05). Our data revealed altered phosphorylation of proteins associated with adherens junction remodeling and actin polymerization. Kinases such as protein kinase C iota type (PRKCI), mitogen-activated protein kinase kinase kinase 1 (MAP3K1), tyrosine-protein kinase BAZ1B (BAZ1B) and STE20 like kinase (SLK) were found to be hyperphosphorylated. Our study provides novel insights into signaling perturbations associated with chronic arsenic exposure in human skin keratinocytes. All MS/MS data have been deposited to the ProteomeXchange with identifier PXD004868.",
keywords = "Arsenite, Mass spectrometry, Metabolic labeling, Phosphoproteome, Titanium-dioxide",
author = "Mir, {Sartaj Ahmad} and Santosh Renuse and Gajanan Sathe and Khan, {Aafaque Ahmad} and Patil, {Arun H.} and Vishalakshi Nanjappa and Bhat, {Firdous Ahmad} and Prasad, {T. S.Keshava} and Giri, {Ashok K.} and Aditi Chatterjee and Harsha Gowda",
note = "Funding Information: The authors would like to thank the Department of Biotechnology (DBT), Government of India for research support to the Institute of Bioinformatics, Bangalore. IOB is supported by DBT Program Support on Neuroproteomics and infrastructure for proteomic data analysis (BT/01/COE/08/05) and FAMRI-funded 072017 YCSA. AC was supported by Department of Science and Technology (DST) grants (SERC/LS-439/2011 and SR/SO/HS/0208/2013) and DBT-grant BT/PR8152/AGR/36/739/. SA and GS are recipients of a Senior Research Fellowship award from University Grants Commission (UGC) and Council of Scientific and Industrial Research, Government of India, respectively. Funding Information: The authors would like to thank the Department of Biotechnology (DBT), Government of India for research support to the Institute of Bioinformatics, Bangalore. IOB is supported by DBT Program Support on Neuroproteomics and infrastructure for proteomic data analysis (BT/01/COE/08/05) and FAMRI-funded 072017_YCSA. AC was supported by Department of Science and Technology (DST) grants (SERC/LS-439/2011 and SR/SO/HS/0208/2013) and DBTgrant BT/PR8152/AGR/36/739/. SA and GS are recipients of a Senior Research Fellowship award from University Grants Commission (UGC) and Council of Scientific and Industrial Research, Government of India, respectively. Publisher Copyright: {\textcopyright} 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Copyright: Copyright 2017 Elsevier B.V., All rights reserved.",
year = "2017",
month = dec,
day = "18",
doi = "10.1002/prca.201700004",
language = "English",
volume = "11",
journal = "Proteomics - Clinical Applications",
issn = "1862-8346",
publisher = "Wiley",
number = "11-12",
}