Red Blood Cell Stiffness and Adhesion Are Species-Specific Properties Strongly Affected by Temperature and Medium Changes in Single Cell Force Spectroscopy.
Dina BaierTorsten MüllerThomas MohrUrsula WindbergerPublished in: Molecules (Basel, Switzerland) (2021)
Besides human red blood cells (RBC), a standard model used in AFM-single cell force spectroscopy (SCFS), little is known about apparent Young's modulus (Ea) or adhesion of animal RBCs displaying distinct cellular features. To close this knowledge gap, we probed chicken, horse, camel, and human fetal RBCs and compared data with human adults serving as a repository for future studies. Additionally, we assessed how measurements are affected under physiological conditions (species-specific temperature in autologous plasma vs. 25 °C in aqueous NaCl solution). In all RBC types, Ea decreased with increasing temperature irrespective of the suspension medium. In mammalian RBCs, adhesion increased with elevated temperatures and scaled with reported membrane sialic acid concentrations. In chicken only adhesion decreased with higher temperature, which we attribute to the lower AE-1 concentration allowing more membrane undulations. Ea decreased further in plasma at every test temperature, and adhesion was completely abolished, pointing to functional cell enlargement by adsorption of plasma components. This halo elevated RBC size by several hundreds of nanometers, blunted the thermal input, and will affect the coupling of RBCs with the flowing plasma. The study evidences the presence of a RBC surface layer and discusses the tremendous effects when RBCs are probed at physiological conditions.
Keyphrases
- red blood cell
- single cell
- endothelial cells
- single molecule
- biofilm formation
- induced pluripotent stem cells
- rna seq
- high resolution
- healthcare
- cell migration
- molecular dynamics simulations
- magnetic resonance imaging
- cell therapy
- stem cells
- solid state
- high throughput
- magnetic resonance
- electronic health record
- atomic force microscopy
- staphylococcus aureus
- big data
- cystic fibrosis
- escherichia coli
- cell adhesion
- high speed