2019
DOI: 10.1101/742254
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Benchmarking tomographic acquisition schemes for high-resolution structural biology

Abstract: Cryo electron tomography with subsequent subtomogram averaging is a powerful technique to structurally analyze macromolecular complexes in their native context. Although close to atomic resolution, in principle, can be obtained, it is not clear how individual experimental parameters contribute to the attainable resolution. Here, we have used immature HIV-1 lattice as a benchmarking sample to optimize the attainable resolution for subtomogram averaging. We systematically tested various experimental parameters s… Show more

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Cited by 2 publications
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“…While single particle EM gained widespread notoriety for its utility in solving high resolution structures of purified proteins, cryo-electron tomography (cryo-ET) has emerged as the leading technique for visualizing the structures of large, transient, dynamic, flexible, and/or heterogeneous samples in native or near-native reconstituted cellular environments ( Baumeister, 2013 , Oikonomou and Jensen, 2017 ). The implementation of automated data collection ( Blocker et al, 1997 ) packages ( Mastronarde, 2005 , Suloway et al, 2009 ) and optimized tomographic acquisition schemes ( Chreifi et al, 2019 , Eisenstein et al, 2019 , Hagen et al, 2017 , Turoňová et al, 2019 ), combined with direct electron detectors, energy filters, and phase plates ( Khoshouei et al, 2017 ) has revolutionized the feasibility of visualizing cellular machinery for functional and physiological interpretation. Multiple copies of the biological complex of interest can be identified within reconstructed tomograms, and 3D “subvolumes” or “subtomograms” can be extracted and averaged together in a process called subtomogram averaging (STA) to obtain better-resolved 3D reconstructions of the complex of interest.…”
Section: Introductionmentioning
confidence: 99%
“…While single particle EM gained widespread notoriety for its utility in solving high resolution structures of purified proteins, cryo-electron tomography (cryo-ET) has emerged as the leading technique for visualizing the structures of large, transient, dynamic, flexible, and/or heterogeneous samples in native or near-native reconstituted cellular environments ( Baumeister, 2013 , Oikonomou and Jensen, 2017 ). The implementation of automated data collection ( Blocker et al, 1997 ) packages ( Mastronarde, 2005 , Suloway et al, 2009 ) and optimized tomographic acquisition schemes ( Chreifi et al, 2019 , Eisenstein et al, 2019 , Hagen et al, 2017 , Turoňová et al, 2019 ), combined with direct electron detectors, energy filters, and phase plates ( Khoshouei et al, 2017 ) has revolutionized the feasibility of visualizing cellular machinery for functional and physiological interpretation. Multiple copies of the biological complex of interest can be identified within reconstructed tomograms, and 3D “subvolumes” or “subtomograms” can be extracted and averaged together in a process called subtomogram averaging (STA) to obtain better-resolved 3D reconstructions of the complex of interest.…”
Section: Introductionmentioning
confidence: 99%
“…While single particle EM gained widespread notoriety for its utility in solving high resolution structures of purified proteins, cryo-electron tomography (cryo-ET) has emerged as the leading technique for visualizing the structures of large, transient, dynamic, flexible, and/or heterogeneous samples in native or near-native reconstituted cellular environments 1,2 . The implementation of automated data collection 3 packages 4,5 and optimized tomographic acquisition schemes [6][7][8][9] , combined with direct electron detectors, energy filters, and phase plates 10 has revolutionized the feasibility of visualizing cellular machinery for functional and physiological interpretation 11 . Multiple copies of the biological complex of interest can be identified within reconstructed tomograms, and 3D "subvolumes" can be extracted and averaged together in a process called subtomogram averaging (STA) [12][13][14][15][16][17][18][19][20] to obtain better resolved 3D reconstructions of the complex of interest.…”
Section: Introductionmentioning
confidence: 99%