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Next-Generation Sequencing Reveals Differential Responses to Acute versus Long-Term Exposures to Graphene Oxide in Human Lung Cells
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
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Number of Authors: 72020 (English)In: Small, ISSN 1613-6810, E-ISSN 1613-6829, Vol. 16, no 21, article id 1907686Article in journal (Refereed) Published
Abstract [en]

Numerous studies have addressed the biological impact of graphene-based materials including graphene oxide (GO), yet few have focused on long-term effects. Here, RNA sequencing is utilized to unearth responses of human lung cells to GO. To this end, the BEAS-2B cell line derived from normal human bronchial epithelium is subjected to repeated, low-dose exposures of GO (1 or 5 mu g mL(-1)) for 28 days or to the equivalent, cumulative amount of GO for 48 h. Then, samples are analyzed by using the NovaSeq 6000 sequencing system followed by pathway analysis and gene ontology enrichment analysis of the differentially expressed genes. Significant differences are seen between the low-dose, long-term exposures and the high-dose, short-term exposures. Hence, exposure to GO for 48 h results in mitochondrial dysfunction. In contrast, exposure to GO for 28 days is characterized by engagement of apoptosis pathways with downregulation of genes belonging to the inhibitor of apoptosis protein (IAP) family. Validation experiments confirm that long-term exposure to GO affects the apoptosis threshold in lung cells, accompanied by a loss of IAPs. These studies reveal the sensitivity of RNA-sequencing approaches and show that acute exposure to GO is not a good predictor of the long-term effects of GO.

Place, publisher, year, edition, pages
2020. Vol. 16, no 21, article id 1907686
Keywords [en]
apoptosis, graphene oxide, lung cells, RNA sequencing, transcriptomics
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:su:diva-181374DOI: 10.1002/smll.201907686ISI: 000522063500001PubMedID: 32227449OAI: oai:DiVA.org:su-181374DiVA, id: diva2:1429042
Available from: 2020-05-07 Created: 2020-05-07 Last updated: 2022-03-23Bibliographically approved

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Wang, JunRodrigues, Artur Filipe

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