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Gallampois, Christine
Publications (2 of 2) Show all publications
Rajapakse, K., Drobne, D., Kastelec, D., Kogej, K., Makovec, D., Gallampois, C., . . . Cristobal, S. (2016). Proteomic analyses of early response of unicellular eukaryotic microorganism Tetrahymena thermophila exposed to TiO2 particles.. Nanotoxicology, 10(5), 542-556
Open this publication in new window or tab >>Proteomic analyses of early response of unicellular eukaryotic microorganism Tetrahymena thermophila exposed to TiO2 particles.
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2016 (English)In: Nanotoxicology, ISSN 1743-5390, E-ISSN 1743-5404, Vol. 10, no 5, p. 542-556Article in journal (Refereed) Published
Abstract [en]

Key biological functions involved in cell survival have been studied to understand the difference between the impact of exposure to TiO2 nanoparticles (TiO2-NPs) and their bulk counterparts (bulk-TiO2). By selecting a unicellular eukaryotic model organism and applying proteomic analysis an overview of the possible impact of exposure could be obtained. In this study, we investigated the early response of unicellular eukaryotic protozoan Tetrahymena thermophila exposed to TiO2-NPs or bulk-TiO2 particles at subtoxic concentrations for this organism. The proteomic analysis based on 2DE + nLC-ESI-MS/MS revealed 930 distinct protein spots, among which 77 were differentially expressed and 18 were unambiguously identified. We identified alterations in metabolic pathways, including lipid and fatty acid metabolism, purine metabolism and energetic metabolism, as well as salt stress and protein degradation. This proteomic study is consistent with our previous findings, where the early response of T. thermophila to subtoxic concentrations of TiO2 particles included alterations in lipid and fatty acid metabolism and ion regulation. The response to the lowest TiO2-NPs concentration differed significantly from the response to higher TiO2-NPs concentration and both bulk-TiO2concentrations. Alterations on the physiological landscape were significant after exposure to both nano- and bulk-TiO2; however, no toxic effects were evidenced even at very high exposure concentrations. This study confirms the relevance of the alteration of the lipid profile and lipid metabolism in understanding the early impact of TiO2-NPs in eukaryotic cells, for example, phagocytosing cells like macrophages and ciliated cells in the respiratory epithelium.

Place, publisher, year, edition, pages
Taylor & Francis: , 2016
Nanotoxicology, particle toxicology, proteomics
National Category
Cell Biology
urn:nbn:se:liu:diva-123355 (URN)10.3109/17435390.2015.1091107 (DOI)000372756300004 ()26524663 (PubMedID)
Östergötland County CouncilCarl Tryggers foundation VINNOVASwedish Research CouncilMagnus Bergvall FoundationLars Hierta Memorial Foundation

Funding agencies: Swedish Research Council-Natural Science; Carl Trygger Foundation; VINNOVA-Vinnmer program; Oscar Lilli Lamms Minne Foundation; Langmanska kulturfonden; Lars Hiertas Minne foundation; IKERBASQUE; Basque Foundation for science; Angpanneforening Research fo

Available from: 2016-01-26 Created: 2015-12-12 Last updated: 2017-11-30Bibliographically approved
Schymanski, E. L., Gallampois, C., Krauss, M., Meringer, M., Neumann, S., Schulze, T., . . . Brack, W. (2012). Consensus Structure Elucidation Combining GC/EI-MS, Structure Generation, and Calculated Properties. Analytical Chemistry, 84(7), 3287-3295
Open this publication in new window or tab >>Consensus Structure Elucidation Combining GC/EI-MS, Structure Generation, and Calculated Properties
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2012 (English)In: Analytical Chemistry, ISSN 0003-2700, E-ISSN 1520-6882, Vol. 84, no 7, p. 3287-3295Article in journal (Refereed) Published
Abstract [en]

This article explores consensus structure elucidation on the basis of GC/EI-MS, structure generation, and calculated properties for unknown compounds. Candidate structures were generated using the molecular formula and substructure information obtained from GC/EI-MS spectra. Calculated properties were then used to score candidates according to a consensus approach, rather than altering or exclusion. Two mass spectral match calculations (MOLGEN-MS and MetFrag), retention behavior (Lee retention index/boiling point correlation, NIST Kovats retention index), octanol water partitioning behavior (log K-ow), and finally steric energy calculations were used to select candidates. A simple consensus scoring function was developed and tested on two unknown spectra detected in a mutagenic subfraction of a water sample from the Elbe River using GC/EI-MS. The top candidates proposed using the consensus scoring technique were purchased and confirmed analytically using GC/EI-MS and LC/MS/MS. Although the compounds identified were not responsible for the sample mutagenicity, the structure-generation-based identification for GC/EI-MS using calculated properties and consensus scoring was demonstrated to be applicable to real-world unknowns and suggests that the development of a similar strategy for multidimensional high-resolution MS could improve the outcomes of environmental and metabolomics studies.

Place, publisher, year, edition, pages
American Chemical Society, 2012
National Category
Medical and Health Sciences
urn:nbn:se:liu:diva-77327 (URN)10.1021/ac203471y (DOI)000302829800036 ()
Funding Agencies|European Commission|511237-GOCE|Marie Curie Research Training Network KEYBIOEFFECTS|MRTN-CT-2006-035695|Helmholtz Interdisciplinary Graduate School for Environmental Research (HIGRADE)||Available from: 2012-05-11 Created: 2012-05-11 Last updated: 2017-12-07

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