Induction of autophagy and endoplasmic reticulum autophagy caused by cadmium telluride quantum dots are protective mechanisms of yeast cell.
Fujing WeiQiyue XieZhijun HuangAimin YangYixiang DuanPublished in: Journal of applied toxicology : JAT (2022)
Quantum dots (QDs), with unique and tunable optical properties, have been widely used in many fields closely related to our daily lives, such as biomedical application and electronic products. Therefore, the potential toxicity of QDs on the human health should be understood. Autophagy plays an important role in cell survival and death. Endoplasmic reticulum autophagy (ER-phagy), a selective autophagy that degrades ER, responds to the accumulation of misfolded proteins and ER stress. Although many reports have revealed that autophagy can be disturbed by cadmium telluride (CdTe)-QDs and other nanomaterials, there are still lack more detailed researches to illustrate the function of autophagy in CdTe-QDs-treated cells, and the function of ER-phagy in CdTe-QDs-treated cells remains to be illustrated. On the basis of transcriptome analysis, we explored the effect of CdTe-QDs on Saccharomyces cerevisiae and first illustrated that both of autophagy and ER-phagy were protective mechanisms in CdTe-QDs-treated cells. It was found that CdTe-QDs inhibited the proliferation of yeast cells, disrupted homeostasis of cells, membrane integrity, and metabolism process. All of these can be reasons of the reduction of cell viability. The abolishment of autophagy and ER-phagy reduce the cell survival, indicating both of them are cell protective mechanisms against CdTe-QDs toxicity in yeast cells. Therefore, our data are significant for the application of CdTe-QDs and provide precious information for understanding of nanomaterials-related ER-phagy.
Keyphrases
- quantum dots
- induced apoptosis
- endoplasmic reticulum stress
- endoplasmic reticulum
- cell death
- signaling pathway
- cell cycle arrest
- oxidative stress
- saccharomyces cerevisiae
- human health
- sensitive detection
- risk assessment
- estrogen receptor
- molecularly imprinted
- machine learning
- energy transfer
- heavy metals
- physical activity
- high resolution
- bone marrow
- health information
- tandem mass spectrometry