https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2023Liu_NextPYP 2026-05-24T22:00:59Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2023Liu_NextPYP&diff=4533&oldid=prev 2024-01-12T08:11:59Z

<p>Created page with &quot;== Citation == Liu, Hsuan-Fu / Zhou, Ye / Huang, Qinwen / Piland, Jonathan / Jin, Weisheng / Mandel, Justin / Du, Xiaochen / Martin, Jeffrey / Bartesaghi, Alberto. nextPYP: a...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Liu, Hsuan-Fu / Zhou, Ye / Huang, Qinwen / Piland, Jonathan / Jin, Weisheng / Mandel, Justin / Du, Xiaochen / Martin, Jeffrey / Bartesaghi, Alberto. nextPYP: a comprehensive and scalable platform for characterizing protein variability in situ using single-particle cryo-electron tomography. 2023. Nature Methods, 20, p. 1909-1919<br /> <br /> == Abstract ==<br /> <br /> Single-particle cryo-electron tomography is an emerging technique capable<br /> of determining the structure of proteins imaged within the native context of<br /> cells at molecular resolution. While high-throughput techniques for sample<br /> preparation and tilt-series acquisition are beginning to provide sufficient<br /> data to allow structural studies of proteins at physiological concentrations,<br /> the complex data analysis pipeline and the demanding storage and<br /> computational requirements pose major barriers for the development and<br /> broader adoption of this technology. Here, we present a scalable, end-to-end<br /> framework for single-particle cryo-electron tomography data analysis from<br /> on-the-fly pre-processing of tilt series to high-resolution refinement and<br /> classification, which allows efficient analysis and visualization of datasets<br /> with hundreds of tilt series and hundreds of thousands of particles. We<br /> validate our approach using in vitro and cellular datasets, demonstrating<br /> its effectiveness at achieving high-resolution and revealing conformational<br /> heterogeneity in situ. The framework is made available through an intuitive<br /> and easy-to-use computer application, nextPYP (http://nextpyp.app).<br /> <br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.nature.com/articles/s41592-023-02045-0<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

WikiSysop