9 research outputs found
Distinct role of PLCβ3 in VEGF-mediated directional migration and vascular sprouting
Endothelial cell proliferation and migration is essential to angiogenesis.
Typically, proliferation and chemotaxis of endothelial cells is driven by
growth factors such as vascular endothelial growth factor (VEGF) and basic
fibroblast growth factor (bFGF). VEGF activates phospholipases (PLCs) –
specifically PLCγ1 – that are important for tubulogenesis,
differentiation and DNA synthesis. However, we show here that VEGF,
specifically through VEGFR2, induces phosphorylation of two serine residues on
PLCβ3, and this was confirmed in an ex vivo embryoid body model.
Knockdown of PLCβ3 in HUVEC cells affects IP3 production, actin
reorganization, migration and proliferation; whereas migration is inhibited,
proliferation is enhanced. Our data suggest that enhanced proliferation is
precipitated by an accelerated cell cycle, and decreased migration by an
inability to activate CDC42. Given that PLCβ3 is typically known as an
effector of heterotrimeric G-proteins, our data demonstrate a unique crosstalk
between the G-protein and receptor tyrosine kinase (RTK) axes and reveal a
novel molecular mechanism of VEGF signaling and, thus, angiogenesis
Original Paper Evaluating Structural Change in a Reference Terminology
Background: Clinical terminologies, like the domains they model, may change over time. Existing methods for identifying and characterizing terminology change, address individual concepts and their interrelationships rather than the overall structure of the terminology. Exposing high level terminology structure may improve developers ’ and users ’ ability to identify changes occurring over time. Objectives: To describe and demonstrate novel structural attributes for terminologies. Methods: We measured novel structural attributes of four successive versions of the National Drug File Reference Terminology Physiologic Effects hierarchy. Attributes included measures for overall size, dimension (ie, width, height, mass, depth), complexity (i.e., node recurrence, leafiness, branchiness) and balance (i.e., skew, variation, smoothness). Results: Among the four versions, the terminology size increased from 711 to 1638 concepts, increased in complexity, but did not improve in terms of symmetry. Conclusions: Visualizing and characterizing the structure of successive terminology versions revealed how the terminology changed at a high level, and where it may have been relatively over specified to meet modeling- or use-based needs