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LPA modulates monocyte migration directly and via LPA-stimulated endothelial cells

American Journal of Physiology-Cell Physiology, 2008
Lysophosphatidic acid (LPA) is a bioactive lysophospholipid ligand present in oxidized low-density lipoprotein. The effects of LPA were investigated, first separately on endothelial cells (EC) and monocytes. Using Ki16425 (an LPA1 and LPA3 receptor antagonist), GW9662 [a peroxisome proliferator-activator receptor (PPARγ) antagonist], and pertussis ...
Gustin, Cindy   +2 more
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Localizing LPA Production

Science Signaling, 2011
Binding of the enzyme that synthesizes lysophosphatidic acid to integrins allows the production of this signaling molecule at its site of action.
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LPA in neural cell development

Journal of Cellular Biochemistry, 2004
AbstractLysophosphatidic acid (LPA) elicits diverse cellular responses through cell surface LPA receptors in nervous system‐derived cells and cell lines. The developing nervous system is one of the major loci for LPA receptor expression. Recent studies have also revealed that metabolic pathways of LPA are present in the nervous system.
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Discrete LPA Accuracy

2009
The LPA accuracy is characterized by an error defined as the The analysis produced in the previous chapters concerns some aspects of the accuracy of the LPA operators. It has been proved that, as the sampling interval approaches zero, the discrete estimators can be replaced by corresponding integral ones.
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Light microscopy image de-noising using optimized LPA-ICI filter

Neural computing & applications (Print), 2018
A. Ashour   +7 more
semanticscholar   +1 more source

DKS Reconstruction and LPA Size

The Annals of Thoracic Surgery, 2023
Dominic, Emerson   +2 more
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Anisotropic LPA-ICI Algorithms

2009
In this chapter, we start with accuracy analyses with the main emphasis on the specific features of the directional estimates: different LPA orders m and different scales h of the variables. The directionality of the supports and the estimates is specified as corresponding to the anisotropy properties of the object signal y.
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LPA

2012
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