University of Georgia

About: University of Georgia is a education organization based out in Athens, Georgia, United States. It is known for research contribution in the topics: Population & Gene. The organization has 41934 authors who have published 93622 publications receiving 3713212 citations. The organization is also known as: UGA & Franklin College.

Semantic E-Workflow Composition

Abstract: Systems and infrastructures are currently being developed to support Web services. The main idea is to encapsulate an organization's functionality within an appropriate interface and advertise it as Web services. While in some cases Web services may be utilized in an isolated form, it is normal to expect Web services to be integrated as part of workflow processes. The composition of workflow processes that model e-service applications differs from the design of traditional workflows, in terms of the number of tasks (Web services) available to the composition process, in their heterogeneity, and in their autonomy. Therefore, two problems need to be solved: how to efficiently discover Web services—based on functional and operational requirements—and how to facilitate the interoperability of heterogeneous Web services. In this paper, we present a solution within the context of the emerging Semantic Web that includes use of ontologies to overcome some of the problem. We describe a prototype that has been implemented to illustrate how discovery and interoperability functions are achieved more efficiently.

MYB83 Is a Direct Target of SND1 and Acts Redundantly with MYB46 in the Regulation of Secondary Cell Wall Biosynthesis in Arabidopsis

Abstract: It has been proposed that the transcriptional regulation of secondary wall biosynthesis in Arabidopsis is controlled by a transcriptional network mediated by SND1 and its close homologs. Uncovering all the transcription factors and deciphering their interrelationships in the network are essential for our understanding of the molecular mechanisms underlying the transcriptional regulation of biosynthesis of secondary walls, the major constituent of wood and fibers. Here, we present functional evidence that the MYB83 transcription factor is another molecular switch in the SND1-mediated transcriptional network regulating secondary wall biosynthesis. MYB83 is specifically expressed in fibers and vessels where secondary wall thickening occurs. Its expression is directly activated by SND1 and its close homologs, including NST1, NST2, VND6 and VND7, indicating that MYB83 is their direct target. MYB83 overexpression is able to activate a number of the biosynthetic genes of cellulose, xylan and lignin and concomitantly induce ectopic secondary wall deposition. In addition, its overexpression upregulates the expression of several transcription factors involved in regulation of secondary wall biosynthesis. Dominant repression of MYB83 functions or simultaneous RNAi inhibition of MYB83 and MYB46 results in a reduction in secondary wall thickening in fibers and vessels and a deformation of vessels. Furthermore, double T-DNA knockout mutations of MYB83 and MYB46 cause a lack of secondary walls in vessels and an arrest in plant growth. Together, these results demonstrate that MYB83 and MYB46, both of which are SND1 direct targets, function redundantly in the transcriptional regulatory cascade leading to secondary wall formation in fibers and vessels.

Engineering of blended nanoparticle platform for delivery of mitochondria-acting therapeutics

Abstract: Mitochondrial dysfunctions cause numerous human disorders. A platform technology based on biodegradable polymers for carrying bioactive molecules to the mitochondrial matrix could be of enormous potential benefit in treating mitochondrial diseases. Here we report a rationally designed mitochondria-targeted polymeric nanoparticle (NP) system and its optimization for efficient delivery of various mitochondria-acting therapeutics by blending a targeted poly(d,l-lactic-co-glycolic acid)-block (PLGA-b)-poly(ethylene glycol) (PEG)-triphenylphosphonium (TPP) polymer (PLGA-b-PEG-TPP) with either nontargeted PLGA-b-PEG-OH or PLGA-COOH. An optimized formulation was identified through in vitro screening of a library of charge- and size-varied NPs, and mitochondrial uptake was studied by qualitative and quantitative investigations of cytosolic and mitochondrial fractions of cells treated with blended NPs composed of PLGA-b-PEG-TPP and a triblock copolymer containing a fluorescent quantum dot, PLGA-b-PEG-QD. The versatility of this platform was demonstrated by studying various mitochondria-acting therapeutics for different applications, including the mitochondria-targeting chemotherapeutics lonidamine and α-tocopheryl succinate for cancer, the mitochondrial antioxidant curcumin for Alzheimer’s disease, and the mitochondrial uncoupler 2,4-dinitrophenol for obesity. These biomolecules were loaded into blended NPs with high loading efficiencies. Considering efficacy, the targeted PLGA-b-PEG-TPP NP provides a remarkable improvement in the drug therapeutic index for cancer, Alzheimer’s disease, and obesity compared with the nontargeted construct or the therapeutics in their free form. This work represents the potential of a single, programmable NP platform for the diagnosis and targeted delivery of therapeutics for mitochondrial dysfunction-related diseases.

Disclosing Instagram Influencer Advertising: The Effects of Disclosure Language on Advertising Recognition, Attitudes, and Behavioral Intent

Abstract: In this study we examined the effect of disclosure language (control/no disclosure, “SP,” “Sponsored,” and “Paid Ad”) in Instagram-based influencer advertising on ad recognition, brand attitude, pu...