Boise State University

About: Boise State University is a education organization based out in Boise, Idaho, United States. It is known for research contribution in the topics: Population & Computer science. The organization has 3698 authors who have published 8664 publications receiving 210163 citations. The organization is also known as: BSU & Boise State.

Asynchronous signal passing for tile self-assembly: fuel efficient computation and efficient assembly of shapes

Abstract: In this paper we demonstrate the power of a model of tile self-assembly based on active glues which can dynamically change state. We formulate the Signal-passing Tile Assembly Model (STAM), based on the model of Padilla et al. [24] to be asynchronous, allowing any action of turning a glue on or off, attaching a new tile, or breaking apart an assembly to happen in any order. Within this highly generalized model we provide three new solutions to tile self-assembly problems that have been addressed within the abstract Tile Assembly Model and its variants, showing that signal passing tiles allow for substantial improvement across multiple complexity metrics. Our first result utilizes a recursive assembly process to achieve tile-type efficient assembly of linear structures, using provably fewer tile types than what is possible in standard tile assembly models. Our second system of signal-passing tiles simulates any Turing machine with high fuel efficiency by using only a constant number of tiles per computation step. Our third system assembles the discrete Sierpinski triangle, demonstrating that this pattern can be strictly self-assembled within the STAM. This result is of particular interest in that it is known that this pattern cannot self-assemble within a number of well studied tile self-assembly models. Notably, all of our constructions are at temperature 1, further demonstrating that signal-passing confers the power to bypass many restrictions found in standard tile assembly models.

Inhibition of Actin Polymerization by Peroxynitrite Modulates Neutrophil Functional Responses

Abstract: Peroxynitrite, a potent oxidant generated in inflammatory tissues, can nitrate tyrosine residues on a variety of proteins. Based on previous studies suggesting that actin might be a potential target for peroxynitrite-mediated nitration in neutrophils, we investigated the effects of peroxynitrite on actin function. We show here that peroxynitrite and the peroxynitrite generator (SIN-1) modified actin in a concentration-dependent manner, resulting in an inhibition of globular-actin polymerization and filamentous-actin depolymerization in vitro. The effects of peroxynitrite were inhibited by the pyrrolopyrimidine antioxidant PNU-101033E, which has been shown previously to specifically block peroxynitrite-mediated tyrosine nitration. Furthermore, spectrophotometric and immunoblot analysis of peroxynitrite-treated actin demonstrated a concentration-dependent increase in nitrotyrosine, which was also blocked by PNU-101033E. Activation of neutrophils in the presence of a nitric oxide donor (S-nitroso-N-acetylpenicillamine) resulted in nitration of exogenously added actin. Nitrated actin was also found in peroxynitrite-treated neutrophils, suggesting that actin may be an important intracellular target during inflammation. To investigate this issue, we analyzed the effect of peroxynitrite treatment on a number of actin-dependent neutrophil processes. Indeed, neutrophil actin polymerization, migration, phagocytosis, and respiratory burst activity were all inhibited by SIN-1 treatment in a concentration-dependent manner. Therefore, the ability of peroxynitrite to inhibit actin dynamics has a significant effect on actin-dependent, cellular processes in phagocytic cells and may modulate their host defense function.

Assessing the potential of polyculture to accelerate algal biofuel production

Abstract: To date, the algal biofuel industry has focused on the cultivation of monocultures of highly productive algal strains, but scaling up production remains challenging. Algal monocultures are difficult to maintain because they are easily contaminated by wild algal strains, grazers, and pathogens. In contrast, theory suggests that polycultures (multispecies assemblages) can promote both ecosystem stability and productivity. A greater understanding of species interactions and how communities change with time needs to be developed. Ultimately a predictive model of community interactions is needed to harness the capacity of biodiversity to enhance productivity of algal polycultures at industrial scales. Here we review the agricultural and ecological literature to explore opportunities for increased annual biomass production through the use of algal polycultures. We discuss case studies where algal polycultures have been successfully maintained for industries other than the biofuel industry, as well as the few studies that have compared biomass production of algal polycultures to that of monocultures. Assemblages that include species with complementary traits are of particular promise. These assemblages have the potential to increase crop productivity and stability presumably by utilizing natural resources (e.g. light, nutrients, and water) more efficiently via tighter niche packing. Therefore, algal polycultures show promise for enhancing biomass productivity, enabling sustainable production and reducing overall production costs.