T
Tristan Ursell
Researcher at University of Oregon
Publications - 32
Citations - 2778
Tristan Ursell is an academic researcher from University of Oregon. The author has contributed to research in topics: Population & MreB. The author has an hindex of 19, co-authored 32 publications receiving 2458 citations. Previous affiliations of Tristan Ursell include Stanford University & California Institute of Technology.
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Journal ArticleDOI
Emerging roles for lipids in shaping membrane-protein function
TL;DR: Measurements of channel gating in model systems of membrane proteins with their lipid partners are confirming predictions of simple models, and the free-energy cost of such perturbations can be estimated quantitatively.
Journal ArticleDOI
Thermoelectric Efficiency and Compatibility
G. Jeffrey Snyder,Tristan Ursell +1 more
TL;DR: Control of the compatibility factor s is, in addition to z, essential for efficient operation of a thermoelectric device, and thus will facilitate rational materials selection, device design, and the engineering of functionally graded materials.
Journal ArticleDOI
Rod-like bacterial shape is maintained by feedback between cell curvature and cytoskeletal localization
Tristan Ursell,Jeffrey Nguyen,Russell D. Monds,Alexandre Colavin,Gabriel Billings,Nikolay Ouzounov,Zemer Gitai,Joshua W. Shaevitz,Kerwyn Casey Huang +8 more
TL;DR: This work uses time-lapse and 3D imaging coupled with computational analysis to map the growth, geometry, and cytoskeletal organization of single bacterial cells at subcellular resolution, demonstrating that feedback between cell geometry and MreB localization maintains rod-like cell shape by targeting cell wall growth to regions of negative cell wall curvature.
Journal ArticleDOI
Morphology and interaction between lipid domains
TL;DR: It is demonstrated that lipid domains can adopt a flat or dimpled morphology, where the latter facilitates a repulsive interaction that slows coalescence and helps regulate domain size and tends to laterally organize domains in the membrane.
Journal ArticleDOI
Rapid, precise quantification of bacterial cellular dimensions across a genomic-scale knockout library
Tristan Ursell,Tristan Ursell,Timothy K. Lee,Daisuke Shiomi,Daisuke Shiomi,Handuo Shi,Carolina Tropini,Russell D. Monds,Alexandre Colavin,Gabriel Billings,Ilina Bhaya-Grossman,Michael Broxton,Bevan Emma Huang,Hironori Niki,Kerwyn Casey Huang +14 more
TL;DR: Two software packages, Morphometrics and BlurLab, that together enable automated, computationally efficient, unbiased identification of cells and morphological features are introduced and suggest potential functions for unknown genes and differences in modes of action of antibiotics are suggested.