A collection of yeast cellular electron cryotomography data
Author(s) -
Lu Gan,
Cai Tong Ng,
Chen Chen,
Shujun Cai
Publication year - 2019
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giz077
Subject(s) - budding yeast , discoverability , computer science , electron tomography , in situ , saccharomyces cerevisiae , chromatin , upload , computational biology , yeast , nanotechnology , biological system , biology , chemistry , materials science , dna , genetics , scanning transmission electron microscopy , organic chemistry , human–computer interaction , transmission electron microscopy , operating system
Cells are powered by a large set of macromolecular complexes, which work together in a crowded environment. The in situ mechanisms of these complexes are unclear because their 3D distribution, organization, and interactions are largely unknown. Electron cryotomography (cryo-ET) can address these knowledge gaps because it produces cryotomograms-3D images that reveal biological structure at ∼4-nm resolution. Cryo-ET uses no fixation, dehydration, staining, or plastic embedment, so cellular features are visualized in a life-like, frozen-hydrated state. To study chromatin and mitotic machinery in situ, we subjected yeast cells to genetic and chemical perturbations, cryosectioned them, and then imaged the cells by cryo-ET.
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