T
Theresa A. Good
Researcher at University of Maryland, Baltimore County
Publications - 48
Citations - 1735
Theresa A. Good is an academic researcher from University of Maryland, Baltimore County. The author has contributed to research in topics: Surface-enhanced Raman spectroscopy & Senile plaques. The author has an hindex of 23, co-authored 48 publications receiving 1629 citations. Previous affiliations of Theresa A. Good include University of Maryland, College Park & Texas A&M University.
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Nanoparticle-based optical biosensors for the direct detection of organophosphate chemical warfare agents and pesticides
TL;DR: The use of nanoparticle-based sensors for the detection of target DNA, and it is observed that the specificity of enzyme–substrate interactions could be exploited in similar systems.
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Nanofluidic biosensing for beta-amyloid detection using surface enhanced Raman spectroscopy.
I-Hsien Chou,Melodie Benford,Hope T. Beier,Gerard L. Coté,Miao Wang,Nan Jing,Jun Kameoka,Theresa A. Good +7 more
TL;DR: A novel nanofluidic biosensor using a controlled, reproducible surface enhanced Raman spectroscopy active site was developed to observe Abeta in different conformational states during the Abeta self-assembly process as well as to distinguish Abeta from confounder proteins commonly found in cerebral spinal fluid.
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Role of aggregation conditions in structure, stability, and toxicity of intermediates in the Abeta fibril formation pathway.
TL;DR: It is shown that different Aβ incubation conditions in vitro can affect the rate of Aβ fibril formation, the conformation and stability of intermediates in the aggregation pathway, and toxicity of aggregated species formed.
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Reduction in Cholesterol and Sialic Acid Content Protects Cells from the Toxic Effects of β-Amyloid Peptides
TL;DR: The effects of cholesterol and sialic acid depletion on Aβ-induced GTPase activity in cells, a step implicated in the mechanism of Aβ toxicity, and A β-induced cell toxicity are investigated and control of cellular cholesterol and/or ganglioside content may prove useful in the prevention or treatment of Alzheimer's disease.
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Use of a mathematical model to estimate stress and strain during elevated pressure induced lamina cribrosa deformation
TL;DR: The model relates IOP, the parameter normally correlated with glaucoma, and lamina cribrosa retrodisplacement to stress and strain experienced by cells, parameters that may be more closely associated with cell injury.