Ernest Arnett
University of Washington
6 Papers
31 Citations
Ernest Arnett is an academic researcher from University of Washington. The author has contributed to research in topics: Protein aggregation & Protein filament. The author has an hindex of 3, co-authored 6 publications.
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Papers
Tmod1 and CP49 Synergize to Control the Fiber Cell Geometry, Transparency, and Mechanical Stiffness of the Mouse Lens
David S. Gokhin,Roberta B. Nowak,Nancy Kim,Ernest Arnett,Albert C. Chen,Robert L. Sah,John I. Clark,Velia M. Fowler +7 more
TL;DR: Results show that deletion of Tmod1 and/or CP49 increases lens fiber cell disorder and light scattering while impairing compressive load-bearing, with the double mutant exhibiting a distinct phenotype compared to either single mutant.
Noninvasive Measurement of Protein Aggregation by Mutant Huntingtin Fragments or α-Synuclein in the Lens
Paul J. Muchowski,Richard Ramsden,QuangVu Nguyen,Ernest Arnett,Teri M.S. Greiling,Susan K. Anderson,John I. Clark +6 more
TL;DR: Transgenic mice in which aggregation-prone proteins that cause Huntington and Parkinson disease are expressed in the ocular lens are described and it is demonstrated that the endogenous chaperone activity of αB-crystallin suppresses aggregation in vivo.
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Automated, computerized, feature-based phenotype analysis of slit lamp images of the mouse lens.
Jenny Yuen,Yi Li,Linda G. Shapiro,John I. Clark,John I. Clark,Ernest Arnett,E. Helene Sage,E. Helene Sage,James F. Brinkley +8 more
TL;DR: A novel, automated, feature-based informatics approach to screening lens phenotypes in a large database of slit lamp images and distinguish mouse genotypes on the basis of lens phenotype objectively using a neural network analysis of the structural features observed in the slit lamps.
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Ic-p-127
Lee E. Goldstein,Robert D. Moir,Suqian Lu,Ling Fu,Oliver Chadwick,Ernest Arnett,Maria Ericcsson,William E. Klunk,Chester A. Mathis,Leo T. Chylack,John I. Clark,Rudolph E. Tanzi,Juliet A. Moncaster +12 more
TL;DR: These results, from simulations, to phantom measurements and in vivo imaging show that development of contrast agents and imaging approaches will allow sensitive imaging of amyloidbeta deposition in living APP mice with 3-dimensional information and will accelerate pre-clinical drug development in animal models, and would ultimately translate to clinical imaging.
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