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Quantitative interpretation of cell rolling velocity distribution.
Yasunaga, Adam B; Murad, Yousif; Kapras, Vojtech; Menard, Frederic; Li, Isaac T S.
Afiliación
  • Yasunaga AB; Department of Chemistry, The University of British Columbia, Kelowna, British Columbia, Canada; Biochemistry and Molecular Biology, The University of British Columbia, Kelowna, British Columbia, Canada.
  • Murad Y; Department of Chemistry, The University of British Columbia, Kelowna, British Columbia, Canada; Faculty of Medicine, The University of British Columbia, Kelowna, British Columbia, Canada.
  • Kapras V; Department of Chemistry, The University of British Columbia, Kelowna, British Columbia, Canada.
  • Menard F; Department of Chemistry, The University of British Columbia, Kelowna, British Columbia, Canada; Biochemistry and Molecular Biology, The University of British Columbia, Kelowna, British Columbia, Canada.
  • Li ITS; Department of Chemistry, The University of British Columbia, Kelowna, British Columbia, Canada; Biochemistry and Molecular Biology, The University of British Columbia, Kelowna, British Columbia, Canada. Electronic address: isaac.li@ubc.ca.
Biophys J ; 120(12): 2511-2520, 2021 06 15.
Article en En | MEDLINE | ID: mdl-33932434
ABSTRACT
Leukocyte rolling adhesion, facilitated by selectin-mediated interactions, is a highly dynamic process in which cells roll along the endothelial surface of blood vessel walls to reach the site of infection. The most common approach to investigate cell-substrate adhesion is to analyze the cell rolling velocity in response to shear stress changes. It is assumed that changes in rolling velocity indicate changes in adhesion strength. In general, cell rolling velocity is studied at the population level as an average velocity corresponding to given shear stress. However, no statistical investigation has been performed on the instantaneous velocity distribution. In this study, we first developed a method to remove systematic noise and revealed the true velocity distribution to exhibit a log-normal profile. We then demonstrated that the log-normal distribution describes the instantaneous velocity at both the population and single-cell levels across the physiological flow rates. The log-normal parameters capture the cell motion more accurately than the mean and median velocities, which are prone to systematic error. Lastly, we connected the velocity distribution to the molecular adhesion force distribution and showed that the slip-bond regime of the catch-slip behavior of the P-selectin/PSGL-1 interaction is responsible for the variation of cell velocity.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Selectina-P / Selectina L Idioma: En Revista: Biophys J Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Selectina-P / Selectina L Idioma: En Revista: Biophys J Año: 2021 Tipo del documento: Article