Hub Proteins Involved in RAW 264.7 Macrophages Exposed to Direct Current Electric Field

Int J Mol Sci. 2020 Jun 24;21(12):4505. doi: 10.3390/ijms21124505.

Abstract

At present, studies on macrophage proteins mainly focus on biological stimuli, with less attention paid to the responses of macrophage proteins to physical stimuli, such as electric fields. Here, we exploited the electric field-sensitive hub proteins of macrophages. RAW 264.7 macrophages were treated with a direct current electric field (dcEF) (200 mV/mm) for four hours, followed by RNA-Seq analysis. Differentially expressed genes (DEGs) were obtained, followed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) and protein-protein interaction (PPI) analysis. Eight qPCR-verified DEGs were selected. Subsequently, three-dimensional protein models of DEGs were modeled by Modeller and Rosetta, followed by molecular dynamics simulation for 200 ns with GROMACS. Finally, dcEFs (10, 50, and 500 mV/mm) were used to simulate the molecular dynamics of DEG proteins for 200 ns, followed by trajectory analysis. The dcEF has no obvious effect on RAW 264.7 morphology. A total of 689 DEGs were obtained, and enrichment analysis showed that the steroid biosynthesis pathway was most affected by the dcEF. Moreover, the three-dimensional protein structures of hub proteins were constructed, and trajectory analysis suggested that the dcEF caused an increase in the atomic motion of the protein in a dcEF-intensity-dependent manner. Overall, we provide new clues and a basis for investigating the hub proteins of macrophages in response to electric field stimulation.

Keywords: RNAs-seq; bioinformatics analysis; direct current electric field (dcEF); macrophage; molecular dynamics simulation.

MeSH terms

  • Animals
  • Biomarkers / chemistry*
  • Biomarkers / metabolism*
  • Cells, Cultured
  • Computational Biology / methods*
  • Electricity*
  • Gene Expression Profiling
  • Gene Expression Regulation / radiation effects*
  • Gene Regulatory Networks*
  • Macrophages / metabolism*
  • Mice
  • Molecular Dynamics Simulation
  • Protein Conformation
  • Protein Interaction Maps
  • Transcriptome

Substances

  • Biomarkers