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Biomedical subjects

Andrea Hall

Publications and source records attributed to Andrea Hall.

At least 19 recordsLinked to original sources

The 100 Diatom Genomes Project.

One hundred diatom species have been selected for genome and transcriptome sequencing. The 100 Diatom Genomes Project aims to provide a scalable framework for understanding diatom biodiversity, ecology and evolution, and for investigating their use in biotechnology.

Diatoms↗

Dissection of melanogenesis with small molecules identifies prohibitin as a regulator.

Bioactive compounds can be used to selectively modulate gene function. We utilized a chemical genetic approach to dissect the mammalian pigmentation pathway and identify protein regulators. We screened a tagged library of 1170 small molecules in a cell-based assay and discovered a class of pigment-enhancing chemicals. From this class we characterized the small molecule melanogenin. Using melanogenin bound to an affinity matrix and amino acid sequencing, we identified the mitochondrial protein, prohibitin, as an intracellular binding target. Studies employing siRNA demonstrate that prohibitin is required for melanogenin to exert its propigmentary effects and reveal an unsuspected functional role for this protein in melanin induction. This represents a mechanism by which propigmentary signals are transduced and ultimately provides a potential target for the treatment of pigmentary disorders.

Amino Acid Sequence↗

The prediction of safe lifting behavior: an application of the theory of planned behavior.

PROBLEM: Injuries resulting from lifting are costly, and create significant pain and discomfort. While engineering controls are the most effective means of reducing risks, most organizations continue to rely on manual lifting techniques. The problem, however, is that the use of safe-lifting techniques is inconsistent and managers have a difficult time motivating use of these techniques. Consequently, it is important to understand the factors driving safe-lifting behaviors. METHODS: This study used a survey to apply the theory of planned behavior (Ajzen., I., 1991. The theory of planned behavior. Organization Behavior and Human Processes, 50, 179-211) to safe-lifting among 136 materials management employees at a heavy manufacturing organization. Structural equation modeling and factor analysis were employed to analyze relationships among constructs. RESULTS: Results revealed that perceived behavioral control and intention were the strongest predictors of safe-lifting behavior. Subjective norms, to a lesser degree, were also important influences on intention. Attitudes did not surface as effective direct predictors of safe-lifting behavior, but did affect behavior and intent via mediating factors (subjective norms and perceived behavioral control). Finally, the theory of planned behavior was supported as an effective model explaining safe-lifting behavior, and had potential application for many other safety-related behaviors. IMPACT ON INDUSTRY: Results from this study emphasize the importance of perceived behavioral control as a factor associated with safety-related behavior.

Attitude to Health↗

Oxidative stress activates FUS1 and RLM1 transcription in the yeast Saccharomyces cerevisiae in an oxidant-dependent Manner.

Mating in haploid Saccharomyces cerevisiae occurs after activation of the pheromone response pathway. Biochemical components of this pathway are involved in other yeast signal transduction networks. To understand more about the coordination between signaling pathways, we used a "chemical genetic" approach, searching for compounds that would activate the pheromone-responsive gene FUS1 and RLM1, a reporter for the cell integrity pathway. We found that catecholamines (l-3,4-hydroxyphenylalanine [l-dopa], dopamine, adrenaline, and noradrenaline) elevate FUS1 and RLM1 transcription. N-Acetyl-cysteine, a powerful antioxidant in yeast, completely reversed this effect, suggesting that FUS1 and RLM1 activation in response to catecholamines is a result of oxidative stress. The oxidant hydrogen peroxide also was found to activate transcription of an RLM1 reporter. Further genetic analysis combined with immunoblotting revealed that Kss1, one of the mating mitogen-activated protein kinases (MAPKs), and Mpk1, an MAPK of the cell integrity pathway, participated in l-dopa-induced stimulation of FUS1 and RLM1 transcription. We also report that Mpk1 and Hog1, the high osmolarity MAPK, were phosphorylated upon induction by hydrogen peroxide. Together, our results demonstrate that cells respond to oxidative stress via different signal transduction machinery dependent upon the nature of the oxidant.

Cell Membrane Permeability↗

The relationship of language and emotion regulation skills to reticence in children with specific language impairment.

This study examined the relationship between emotion regulation, language ability, and reticent behavior in children with specific language impairment (SLI) and their typical peers. Participants included 43 children with SLI and 43 typically developing children, for a total sample of 86 participants. Children were selected from 2 age ranges: 5-8 years and 9-12 years. The Emotion Regulation Checklist (ERC; A. Shields and D. Cicchetti, 1997, 1998) and the Teacher Behavior Rating Scale (TBRS; C. H. Hart and C. C. Robinson, 1996) were completed by each child's teacher to provide measures of emotion regulation and reticence, respectively. The Comprehensive Assessment of Spoken Language (CASL; E. Carrow-Woodfolk, 1999) was administered to provide a measure of language ability. A regression analysis including all participants indicated that the emotion regulation scores and the CASL scores were significant predictors of the reticence scores, accounting for 43% of the variance. Group-specific analyses were then conducted to determine whether the 2 predictor scales differentially predicted reticence based on language and age groups. None of the tests exceeded the.05 level, indicating that there was no significant difference in predictive power on the 2 factors in question.

Case-Control Studies↗