Proteomic characteristics of PM2.5-induced differentially expressed proteins in k-ras-silenced HBE cells

Runbing Li1,2, Jiening Pu1,2, Ying Cai1,2

  • 1School of Public Health, University of South China, Hengyang, China.

Insights

Fine particulate matter (PM2.5) exposure affects protein expression in human bronchial cells. Silencing K-ras alters these responses, highlighting K-ras

Area of Science:

  • Environmental Health
  • Proteomics
  • Molecular Biology

Background:

  • Fine particulate matter (PM2.5) poses significant health risks, particularly to the respiratory system.
  • Understanding the molecular mechanisms of PM2.5 toxicity is crucial for developing effective interventions.

Purpose of the Study:

  • To investigate the proteomic changes in human bronchial epithelial (HBE) cells induced by PM2.5 exposure.
  • To determine the role of K-ras in mediating these PM2.5-induced proteomic alterations.

Main Methods:

  • Human bronchial epithelial cells (HBE) and K-ras-silenced HBE cells were exposed to Taiyuan PM2.5 samples.
  • Quantitative proteomics using a Q Exactive mass spectrometer was employed to identify differentially expressed proteins (DEPs).
  • Bioinformatic analyses including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) network analyses were performed.

Main Results:

  • A total of 535 DEPs were identified in normal HBE cells and 251 DEPs in K-ras-silenced HBE cells following PM2.5 exposure.
  • KEGG analysis revealed that PM2.5-induced DEPs in normal HBE cells were associated with ribosome biosynthesis, antibiotic biosynthesis, and amino acid biosynthesis.
  • In K-ras-silenced cells, DEPs were linked to metabolic pathways, RNA transport, and DNA replication, with MRPL13, RPS20, and EIF1AX identified as significant hub proteins.

Conclusions:

  • The K-ras gene significantly influences the proteomic response to PM2.5 exposure in HBE cells.
  • These findings provide a foundation for further research into the toxicological mechanisms and potential biomarkers of PM2.5.

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