Astrocytes establish rapid cell-to-cell communication through the release of chemical transmitters. The underlying mechanisms and functional significance of this release are, however, not well understood. Here we identify an astrocytic vesicular compartment that is competent for glutamate exocytosis. Using postembedding immunogold labeling of the rat hippocampus, we show that vesicular glutamate transporters (VGLUT1/2) and the vesicular SNARE protein, cellubrevin, are both expressed in small vesicular organelles that resemble synaptic vesicles of glutamatergic terminals. Astrocytic vesicles, which are not as densely packed as their neuronal counterparts, can be observed in small groups at sites adjacent to neuronal structures bearing glutamate receptors. Fluorescently tagged VGLUT-containing vesicles were studied dynamically in living astrocytes by total internal reflection fluorescence (TIRF) microscopy. After activation of metabotropic glutamate receptors, astrocytic vesicles underwent rapid (milliseconds) Ca(2+)- and SNARE-dependent exocytic fusion that was accompanied by glutamate release. These data document the existence of a Ca(2+)-dependent quantal glutamate release activity in glia that was previously considered to be specific to synapses.

Cerebral deposits of beta-amyloid (betaA) are a major feature in Alzheimer's disease. betaA is derived from amyloid precursor protein (APP). APP is subject to N- and O-glycosylation and undergoes a series of proteolytic cleavages that lead to the release of betaA or of a non-amyloidogenic secreted form of APP (APPs). We used primary neuronal and glial cultures to investigate how cholesterol affects the production and secretion of APPs. Exposure to cholesterol for 2 h did not change the neuronal release of APPs; after 6 h APPs release was slightly lower, whereas 24 h of exposure decreased APPs in the medium by approx. 60%. The time courses were similar in astrocytes and microglia preparations. To verify whether the effect of cholesterol was a consequence of membrane rigidification we tested the activity of ganglioside GM1 and prion protein fragment PrP 106-126, which affect membrane fluidity similarly to cholesterol, on APPs secretion. Neither altered the production of APPs. APP mRNA and the total amount of APP in the cells were slightly decreased by cholesterol after 2 and 24 h respectively. Immunoblot analysis of APP associated with neuronal cells and astrocytes indicated that cholesterol progressively decreased the glycosylated forms of the protein; a similar tendency was noted in cells treated with brefeldin A and monensin, two substances that interfere with protein glycosylation. The cell-surface biotinylation method showed that in cholesterol-treated cells APP reached the plasma membrane. Our results indicate that cholesterol decreases the secretion of APPs by interfering with APP maturation and inhibiting glycosylation of the protein; although APP is inserted in the membrane it is not cleaved by alpha-secretase.

Gene expression often cycles between active and inactive states in eukaryotes, yielding variable or noisy gene expression in the short-term, while slow epigenetic changes may lead to silencing or variegated expression. Understanding how cells control these effects will be of paramount importance to construct biological systems with predictable behaviours. Here we find that a human matrix attachment region (MAR) genetic element controls the stability and heritability of gene expression in cell populations. Mathematical modeling indicated that the MAR controls the probability of long-term transitions between active and inactive expression, thus reducing silencing effects and increasing the reactivation of silent genes. Single-cell short-terms assays revealed persistent expression and reduced expression noise in MAR-driven genes, while stochastic burst of expression occurred without this genetic element. The MAR thus confers a more deterministic behavior to an otherwise stochastic process, providing a means towards more reliable expression of engineered genetic systems.

Stochastic models often reveal counter-intuitive experimental behaviors, and we find that this genetic architecture displays a unimodal behavior in mammalian cells, which was unexpected given its known bimodal response in unicellular organisms. We provide a molecular rationale for this behavior, and we implement it in the mathematical picture to explain the experimental results obtained from this network.