AI Article Synopsis

  • Graphene oxide is a promising nanomaterial with various applications, but its effects on biological systems, particularly in fungi, are not well understood.
  • Researchers optimized an RNA purification process to study the toxicity of different graphene oxide products on yeast, ensuring proper nucleic acid quality.
  • The study found that both forms of graphene oxide altered the expression of a significant number of genes related to stress responses and metabolism, with notable differences in gene expression patterns between the two types of graphene oxide tested.

Article Abstract

Graphene oxide has become a very appealing nanomaterial during the last years for many different applications, but its possible impact in different biological systems remains unclear. Here, an assessment to understand the toxicity of different commercial graphene oxide nanomaterials on the unicellular fungal model organism was performed. For this task, an RNA purification protocol was optimized to avoid the high nucleic acid absorption capacity of graphene oxide. The developed protocol is based on a sorbitol gradient separation process for the isolation of adequate ribonucleic acid levels (in concentration and purity) from yeast cultures exposed to the carbon derived nanomaterial. To pinpoint potential toxicity mechanisms and pathways, the transcriptome of exposed to 160 mg L of monolayer graphene oxide (GO) and graphene oxide nanocolloids (GOC) was studied and compared. Both graphene oxide products induced expression changes in a common group of genes (104), many of them related to iron homeostasis, starvation and stress response, amino acid metabolism and formate catabolism. Also, a high number of genes were only differentially expressed in either GO (236) or GOC (1077) exposures, indicating that different commercial products can induce specific changes in the physiological state of the fungus.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431627PMC
http://dx.doi.org/10.3389/fmicb.2020.01943DOI Listing

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