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Related Concept Videos

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
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Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
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Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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Preparation and Cryo-FIB micromachining of Saccharomyces cerevisiae for Cryo-Electron Tomography
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Multiparticle cryo-EM of ribosomes.

Justus Loerke1, Jan Giesebrecht, Christian M T Spahn

  • 1Institut für medizinische Physik und Biophysik, Charité, Universitätsmedizin Berlin, Berlin, Germany.

Methods in Enzymology
|October 5, 2010
PubMed
Summary

Cryo-electron microscopy (cryo-EM) researchers can now better analyze complex molecular machines. A new in silico sorting method separates different conformational states, improving cryo-EM structure resolution and revealing biological mechanisms.

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Area of Science:

  • Structural Biology
  • Biophysics
  • Computational Biology

Background:

  • Cryo-electron microscopy (cryo-EM) resolution improvements reveal conformational and compositional heterogeneity.
  • This heterogeneity limits the resolution of cryo-EM reconstructions, especially for dynamic molecular complexes like ribosomal complexes.
  • Further purification of heterogeneous samples is often not feasible, necessitating computational approaches.

Purpose of the Study:

  • To develop and describe a computational method for separating distinct conformational states from heterogeneous cryo-EM datasets.
  • To enable the calculation of higher-resolution cryo-EM reconstructions from previously inseparable states.
  • To enhance mechanistic insights into biological processes by analyzing coexisting conformational states.

Main Methods:

  • An incremental K-means-like method for unsupervised 3D sorting of cryo-EM projection images.
  • Exploitation of intrinsic data divisions to classify heterogeneous datasets.
  • Application of the method to large datasets of ribosomal complexes.

Main Results:

  • Successful separation of distinct conformational classes within cryo-EM datasets.
  • Demonstrated effectiveness of the unsupervised sorting procedure on ribosomal complexes.
  • Enabling the calculation of higher-resolution reconstructions for individual conformational states.

Conclusions:

  • The described in silico sorting method effectively addresses heterogeneity in cryo-EM data.
  • Improved resolution of individual states provides more detailed structural information.
  • Analyzing multiple coexisting states offers comprehensive mechanistic insights into dynamic biological processes, such as ribosomal translocation.