https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2020Sanchez_Hybrid2020Sanchez Hybrid - Revision history2026-05-24T20:20:55ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2020Sanchez_Hybrid&diff=3806&oldid=prevWikiSysop: Created page with "== Citation == Sanchez, R. M.; Zhang, Y.; Chen, W.; Dietrich, L.; Kudryashev, M. Subnanometer-resolution structure determination in situ by hybrid subtomogram averaging - sin..."2020-08-14T11:06:35Z<p>Created page with "== Citation == Sanchez, R. M.; Zhang, Y.; Chen, W.; Dietrich, L.; Kudryashev, M. Subnanometer-resolution structure determination in situ by hybrid subtomogram averaging - sin..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
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Sanchez, R. M.; Zhang, Y.; Chen, W.; Dietrich, L.; Kudryashev, M. Subnanometer-resolution structure determination in situ by hybrid subtomogram averaging - single particle cryo-EM. Nature communications, 2020, 11, 3709 <br />
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== Abstract ==<br />
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Cryo-electron tomography combined with subtomogram averaging (StA) has yielded high-resolution structures of macromolecules in their native context. However, high-resolution StA is not commonplace due to beam-induced sample drift, images with poor signal-to-noise ratios (SNR), challenges in CTF correction, and limited particle number. Here we address these issues by collecting tilt series with a higher electron dose at the zero-degree tilt. Particles of interest are then located within reconstructed tomograms, processed by conventional StA, and then re-extracted from the high-dose images in 2D. Single particle analysis tools are then applied to refine the 2D particle alignment and generate a reconstruction. Use of our hybrid StA (hStA) workflow improved the resolution for tobacco mosaic virus from 7.2 to 4.4 Å and for the ion channel RyR1 in crowded native membranes from 12.9 to 9.1 Å. These resolution gains make hStA a promising approach for other StA projects aimed at achieving subnanometer resolution. <br />
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== Links ==<br />
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https://www.nature.com/articles/s41467-020-17466-0<br />
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== Comments ==</div>WikiSysop