Visualizing S1P-directed cellular egress by intravital imaging

Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks

Many biological processes are controlled by both deterministic and stochastic influences. However, efforts to model these systems often rely on either purely stochastic or purely rule-based methods. To better understand the balance between stochasticity and determinism in biological processes a computational approach that incorporates both influences may afford additional insight into underlying biological mechanisms that give rise to emergent system properties. We apply a combined approach to the simulation and study of angiogenesis, the growth of new blood vessels from existing networks. This complex multicellular process begins with selection of an initiating endothelial cell, or tip cell, which sprouts from the parent vessels in response to stimulation by exogenous cues. We have constructed an agent-based model of sprouting angiogenesis to evaluate endothelial cell sprout initiation frequency and location, and we have experimentally validated it using high-resolution time-lapse confocal microscopy. ABM simulations were then compared to a Monte Carlo model, revealing that purely stochastic simulations could not generate sprout locations as accurately as the rule-informed agent-based model. These findings support the use of rule-based approaches for modeling the complex mechanisms underlying sprouting angiogenesis over purely stochastic methods.

Non-genomic rapid responses via progesterone in human peripheral T cells are not indirectly mimicked by sphingosine 1-phosphate

Progesterone is an endogenous immunomodulator that suppresses T cell activation during pregnancy. Progesterone has been shown to induce rapid responses that cause intracellular calcium ([Ca(2+)]i) elevation and acidification followed by inhibition of phytohemagglutinin (PHA)-stimulated proliferation. These rapid responses involve T cell plasma membrane sites, but the mechanisms remain unclear. Three new membrane progesterone receptors (mPRα/mPRβ/mPRγ) have been identified as expressed in T cells. These proteins have been identified as G-protein-coupled receptors. Recently, mPRs have been classified as progestin and adipoQ receptors (PAQRs). Furthermore, they have been suggested to be alkaline ceramidases, possibly involved in mediating sphingolipid signaling. Alkaline ceramidases are capable of converting ceramide to sphingosine, which might then be further phosphorylated sphingosine via sphingosine kinase to sphingosine 1-phosphate (S1P). This pathway could result in progesterone acting indirectly via S1P on membrane sphingosine 1-phosphate receptors (S1PRs) in T cells to induce rapid responses. Therefore, our aim was to investigate whether progesterone rapid responses occur indirectly in T cells via S1P. We found that S1P induces [Ca(2+)]i elevation however there was no change in intracellular pH. This is different from the situation with progesterone: S1P alone does not suppress PHA-stimulated cell proliferation and does not act synergistically with progesterone on the inhibition of PHA-induced cell proliferation. In contrast, S1P at 1μM is able to antagonize the proliferation inhibitory effect of progesterone. Thus the rapid responses that are induced by progesterone in human peripheral T cells probably do not involve indirect signaling via S1P and S1PRs.