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Biomedical subjects

Earl Poptic

Publications and source records attributed to Earl Poptic.

2 recordsLinked to original sources

Tumor necrosis factor alpha (TNF-alpha) receptor-II is required for TNF-alpha-induced leukocyte-endothelial interaction in vivo.

Tumor necrosis factor-alpha (TNF-alpha) binds to 2 distinct cell-surface receptors: TNF-alpha receptor-I (TNFR-I: p55) and TNF-alpha receptor-II (TNFR-II: p75). TNF-alpha induces leukocyte adhesion molecules on endothelial cells (ECs), which mediate 3 defined steps of the inflammatory response; namely, leukocyte rolling, firm adhesion, and transmigration. In this study, we have investigated the role of p75 in TNF-alpha-induced leukocyte adhesion molecules using cultured ECs derived from wild-type (WT), p75-null (p75-/-), or p55-null (p55-/-) mice. We observed that p75 was essential for TNF-alpha-induced E-selectin, vascular cell adhesion molecule 1 (VCAM-1), and intercellular adhesion molecule 1 (ICAM-1) expression. We also investigated the putative role of p75 in inflammation in vivo using an intravital microscopic approach with a mouse cremaster muscle model. TNF-alpha-stimulated leukocyte rolling, firm adhesion to ECs, and transmigration were dramatically reduced in p75-/- mice. Transplanted WT cremaster in p75-/- mice showed a robust leukocyte rolling and firm adhesion upon TNF-alpha activation, suggesting that the impairment in EC-leukocyte interaction in p75-/- mice is due to EC dysfunction. These results demonstrate, for the first time, that endothelial p75 is essential for TNF-alpha-induced leukocyte-endothelial-cell interaction. Our findings may contribute to the identification of novel p75-targeted therapeutic approaches for inflammatory diseases.

Animals↗

Cell sorting by one gravity SPLITT fractionation.

The need for innovative separative techniques suitable for the fractionation of biomaterials prompted this investigation into the performance of the gravitational split-flow thin channel (G-SPLITT) system as a cell sorter. The rigorous mathematical description of the separation mechanism allows achievement of fast separation of several million myeloma cells from healthy splenocytes using flow conditions calculated from theory. Separation in G-SPLITT is based on differences in sedimentation rate. For accurate prediction of the optimal working conditions, this parameter was directly measured by cell tracking velocimetry rather than relying on a measure of diameter (by Multisizer) and an assumed density for each cell population. We also discuss the influence of different flow conditions on the effectiveness of separation.

Cell Separation↗