Reactive Oxygen Species Imaging in U937 Cells

Ankush Prasad1, Michaela Sedlářová2, Anastasiia Balukova1

  • 1Department of Biophysics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia.

Frontiers in Physiology
|November 12, 2020
PubMed

Insights

Hydroxyl radical (HO∙) plays a key role in U937 cell differentiation into macrophage-like cells. This study confirms HO∙ formation during phorbol 12-myristate 13-acetate (PMA) induced differentiation using advanced microscopy and spectroscopy.

Area of Science:

  • Cell Biology
  • Immunology
  • Biochemistry

Background:

  • U937 cells are a human histiocytic lymphoma cell line with pro-monocytic properties.
  • These cells can differentiate into macrophages or dendritic cells, crucial for immune responses.
  • Reactive oxygen species (ROS), including hydroxyl radical (HO∙), are implicated in cellular processes.

Purpose of the Study:

  • To investigate the role of hydroxyl radical (HO∙) in U937 cell differentiation.
  • To elucidate the contribution of ROS metabolism to U937 cell differentiation processes.
  • To enhance understanding of ROS in model cell lines for human research.

Main Methods:

  • U937 cell culture and differentiation induction using phorbol 12-myristate 13-acetate (PMA).
  • Electron paramagnetic resonance (EPR) spectroscopy to detect radical formation.
  • Confocal laser scanning microscopy (CLSM) for cellular visualization.

Main Results:

  • Phorbol 12-myristate 13-acetate (PMA) treatment induced macrophage-like morphology in U937 cells.
  • Formation of hydroxyl radical (HO∙) was confirmed within differentiating U937 cells.
  • HO∙ generation was observed during both differentiation and apoptosis phases.

Conclusions:

  • Hydroxyl radical (HO∙) is a significant factor in U937 cell differentiation.
  • ROS metabolism, particularly HO∙, is integral to U937 cell differentiation.
  • This research contributes to understanding ROS roles in immune cell differentiation models.

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