Summary of Study ST002157
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001370. The data can be accessed directly via it's Project DOI: 10.21228/M8N12W This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST002157 |
| Study Title | Effect of long-term exposure to graphene on skin cell metabolism |
| Study Summary | Graphene-derived materials are a family of nanomaterials with multiple potential applications in different fields such as biomedicine. It is therefore essential to understand their interaction with cellular barriers such as skin. In this work we evaluated the metabolic changes in human skin cells (HaCaT) exposed to different GRMs for 7 and 30 days. Objectives Endogenous metabolic profiles of control and graphene-treated keratinocytes have been studied using ultra-high performance liquid chromatography – mass spectrometry (UHPLC-MS). Keratinocytes were treated with graphene oxide (GO) from two different suppliers and with few layer graphene (FLG). Samples were collected one week and one month after the start of the treatment. The general aim of the project was to evaluate potential metabolic differences between: 1) Graphene-treated keratinocytes and control keratinocytes at one week; 2) Graphene-treated keratinocytes and control keratinocytes at one month; 3) Control keratinocytes at 1 month and 1 week; 4) Graphene-treated keratinocytes at 1 month and 1 week. Experimental Procedures A successful metabolic profiling experiment relies on the ability to determine changes in an organism’s biofluid or tissue complement of metabolites. Mass spectrometry coupled to ultra-high performance liquid chromatography (UHPLC-MS) is well suited to such analyses due to its high sensitivity, large coverage over different classes of metabolites, high throughput capacity, and wide dynamic range. In this study, one UHPLC-MS based platform was used to analyse endogenous analytes for inclusion in subsequent statistical analysis procedures used to study metabolic differences between the groups of samples. Results The oxidation degree and size of the GRMs is determinant in the effect on cell metabolism, as well as the exposure time. Thus, one of the materials used generated a change in the energy metabolism of the cells, significantly increasing the level of different Krebs cycle metabolites. |
| Institute | University of Castilla-La Mancha |
| Department | Medical Sciences |
| Laboratory | Group of Oxidative Stress and Neurodegeneration |
| Last Name | Frontinan |
| First Name | Javier |
| Address | F. Medicina Camino de Moledores s/n 13071 |
| javier.frontinan@uclm.es | |
| Phone | +34656967979 |
| Submit Date | 2022-04-25 |
| Num Groups | 8 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Waters) |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-06-01 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Subject:
| Subject ID: | SU002243 |
| Subject Type: | Cultured cells |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Gender: | Male |
| Cell Biosource Or Supplier: | CLS |
| Cell Strain Details: | In vitro spontaneously transformed keratinocytes from histologically normal skin |
| Cell Primary Immortalized: | HaCaT |
| Cell Passage Number: | Up to the 15th passage |
