Illuminating Host-Parasite Interaction at the Cellular and Subcellular Levels with Infrared Microspectroscopy.
Hany M ElsheikhaAlaa T Al-SandaqchiMohammad S R HarunFrancesca WintertonAli I AltharawiNashwa A ElsaiedCarl W StevensonWilliam MacNaughtanJohn G M MinaPaul W DennyGianfelice CinqueKa Lung Andrew ChanPublished in: Cells (2022)
Toxoplasma gondii ( T. gondii ) is an opportunistic protozoan that can cause brain infection and other serious health consequences in immuno-compromised individuals. This parasite has a remarkable ability to cross biological barriers and exploit the host cell microenvironment to support its own survival and growth. Recent advances in label-free spectroscopic imaging techniques have made it possible to study biological systems at a high spatial resolution. In this study, we used conventional Fourier-transform infrared (FTIR) microspectroscopy and synchrotron-based FTIR microspectroscopy to analyze the chemical changes that are associated with infection of human brain microvascular endothelial cells (hBMECs) by T. gondii (RH) tachyzoites. Both FTIR microspectroscopic methods showed utility in revealing the chemical alterations in the infected hBMECs. Using a ZnS hemisphere device, to increase the numerical aperture, and the synchrotron source to increase the brightness, we obtained spatially resolved spectra from within a single cell. The spectra extracted from the nucleus and cytosol containing the tachyzoites were clearly distinguished. RNA sequencing analysis of T. gondii -infected and uninfected hBMECs revealed significant changes in the expression of host cell genes and pathways in response to T. gondii infection. These FTIR spectroscopic and transcriptomic findings provide significant insight into the molecular changes that occur in hBMECs during T. gondii infection.
Keyphrases
- single cell
- toxoplasma gondii
- rna seq
- endothelial cells
- healthcare
- label free
- cell therapy
- molecular docking
- poor prognosis
- public health
- stem cells
- density functional theory
- quantum dots
- mental health
- gene expression
- multiple sclerosis
- genome wide
- mesenchymal stem cells
- mass spectrometry
- risk assessment
- transcription factor
- health information
- molecular dynamics simulations
- vascular endothelial growth factor
- high glucose
- climate change
- social media
- genome wide identification