Literature DB >> 21595037

Proteome profiling reveals potential toxicity and detoxification pathways following exposure of BEAS-2B cells to engineered nanoparticle titanium dioxide.

Yue Ge1, Maribel Bruno, Kathleen Wallace, Witold Winnik, Raju Y Prasad.   

Abstract

Oxidative stress is known to play important roles in engineered nanomaterial-induced cellular toxicity. However, the proteins and signaling pathways associated with the engineered nanomaterial-mediated oxidative stress and toxicity are largely unknown. To identify these toxicity pathways and networks that are associated with exposure to engineered nanomaterials, an integrated proteomic study was conducted using human bronchial epithelial cells, BEAS-2B and nanoscale titanium dioxide. Utilizing 2-DE and MS, we identified 46 proteins that were altered at protein expression levels. The protein changes detected by 2-DE/MS were verified by functional protein assays. These identified proteins include some key proteins involved in cellular stress response, metabolism, adhesion, cytoskeletal dynamics, cell growth, cell death, and cell signaling. The differentially expressed proteins were mapped using Ingenuity Pathway Analyses™ canonical pathways and Ingenuity Pathway Analyses tox lists to create protein-interacting networks and proteomic pathways. Twenty protein canonical pathways and tox lists were generated, and these pathways were compared to signaling pathways generated from genomic analyses of BEAS-2B cells treated with titanium dioxide. There was a significant overlap in the specific pathways and lists generated from the proteomic and the genomic data. In addition, we also analyzed the phosphorylation profiles of protein kinases in titanium dioxide-treated BEAS-2B cells for a better understanding of upstream signaling pathways in response to the titanium dioxide treatment and the induced oxidative stress. In summary, the present study provides the first protein-interacting network maps and novel insights into the biological responses and potential toxicity and detoxification pathways of titanium dioxide.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21595037     DOI: 10.1002/pmic.201000741

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  14 in total

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Review 3.  Chemical basis of interactions between engineered nanoparticles and biological systems.

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Review 4.  Mass spectrometry-based proteomics for system-level characterization of biological responses to engineered nanomaterials.

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Journal:  Anal Bioanal Chem       Date:  2018-06-08       Impact factor: 4.142

Review 5.  Biomarkers of susceptibility: State of the art and implications for occupational exposure to engineered nanomaterials.

Authors:  Ivo Iavicoli; Veruscka Leso; Paul A Schulte
Journal:  Toxicol Appl Pharmacol       Date:  2015-12-24       Impact factor: 4.219

Review 6.  Biosafe nanoscale pharmaceutical adjuvant materials.

Authors:  Shubin Jin; Shengliang Li; Chongxi Wang; Juan Liu; Xiaolong Yang; Paul C Wang; Xin Zhang; Xing-Jie Liang
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7.  Comparative proteomic analysis of the molecular responses of mouse macrophages to titanium dioxide and copper oxide nanoparticles unravels some toxic mechanisms for copper oxide nanoparticles in macrophages.

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Journal:  PLoS One       Date:  2015-04-22       Impact factor: 3.240

8.  Elucidation of toxicity pathways in lung epithelial cells induced by silicon dioxide nanoparticles.

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9.  Proteomic Assessment of Biochemical Pathways That Are Critical to Nickel-Induced Toxicity Responses in Human Epithelial Cells.

Authors:  Yue Ge; Maribel Bruno; Najwa Haykal-Coates; Kathleen Wallace; Debora Andrews; Adam Swank; Witold Winnik; Jeffrey A Ross
Journal:  PLoS One       Date:  2016-09-14       Impact factor: 3.240

10.  Engineering human cell spheroids to model embryonic tissue fusion in vitro.

Authors:  David G Belair; Cynthia J Wolf; Carmen Wood; Hongzu Ren; Rachel Grindstaff; William Padgett; Adam Swank; Denise MacMillan; Anna Fisher; Witold Winnik; Barbara D Abbott
Journal:  PLoS One       Date:  2017-09-12       Impact factor: 3.240

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