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Differences in Hyaluronic Acid-mediated Functions and Signaling in Arterial, Microvessel, and Vein-derived Human Endothelial Cells*

Overview of attention for article published in Journal of Biological Chemistry, September 2000
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Title
Differences in Hyaluronic Acid-mediated Functions and Signaling in Arterial, Microvessel, and Vein-derived Human Endothelial Cells*
Published in
Journal of Biological Chemistry, September 2000
DOI 10.1074/jbc.m003084200
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Abstract

Hyaluronic acid (HA), a nonsulfated glycosaminoglycan, regulates cell adhesion and migration. Small HA fragments (3-25 disaccharide units) induce neovascularization. We investigated the effect of HA and a HA fragment (10-15 disaccharide units, F1) on primary human endothelial cells (ECs). Human pulmonary ECs (HPAEC) and lung microvessel ECs (HMVEC-L) bound HA (K(d) approximately 1 and 2.3 nm, respectively) and expressed 17,780 and 16,690 HA binding sites, respectively. Both ECs showed HA-mediated cell adhesion; however, HMVEC-L was 1.5-fold better. Human umbilical vein ECs neither bound HA nor showed HA-mediated adhesion. All three ECs expressed CD44 ( approximately 110 kDa). The expression of receptor for HA-mediated motility (RHAMM) (approximately 80 kDa) was the highest in HMVEC-L, followed by HPAEC and human umbilical vein ECs. RHAMM, not CD44, bound HA in all three ECs. F1 was better than HA and stimulated a 2. 5- and 1.8-fold mitogenic response in HMVEC-L and HPAEC, respectively. Both HA and F1 induced tyrosine phosphorylation of p125(FAK), paxillin, and p42/44 ERK in HMVEC-L and HPAEC, which was blocked by an anti-RHAMM antibody. These results demonstrate that RHAMM is the functional HA receptor in primary human ECs. Heterogeneity exists among primary human ECs of different vascular origins, with respect to functional HA receptor expression and function.

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The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Student > Doctoral Student 10 16%
Researcher 7 11%
Student > Bachelor 4 6%
Professor > Associate Professor 4 6%
Other 9 15%
Unknown 14 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 13 21%
Medicine and Dentistry 8 13%
Biochemistry, Genetics and Molecular Biology 7 11%
Chemistry 4 6%
Engineering 4 6%
Other 9 15%
Unknown 17 27%