Literature DB >> 31911170

Re-examining the spectra of macromolecules. Current practice of spectral quasi B-factor flattening.

J L Vilas1, J Vargas2, M Martinez1, E Ramirez-Aportela1, R Melero1, A Jimenez-Moreno1, E Garduño3, P Conesa1, R Marabini4, D Maluenda1, J M Carazo1, C O S Sorzano5.   

Abstract

The analysis of structure factors in 3D cryo-EM Coulomb potential maps and their "enhancement" at the end of the reconstruction process is a well-established practice, normally referred to as sharpening. The aim is to increase contrast and, in this way, to help tracing the atomic model. The most common way to accomplish this enhancement is by means of the so-called B-factor correction, which applies a global filter to boost high frequencies with some dampening considerations related to noise amplification. The results are maps with a better visual aspect and a quasiflat spectrum at medium and high frequencies. This practice is so widespread that most map depositions in the Electron Microscopy Data Base (EMDB) only contain sharpened maps. Here, the use in cryoEM of global B-factor corrections is theoretically and experimentally analyzed. Results clearly illustrate that protein spectra present a falloff. Thus, spectral quasi-flattening may produce protein spectra with distortions when compared with experimental ones, this fact, combined with the practice of reporting only sharpened maps, generates a sub-optimal situation in terms of data preservation, reuse and reproducibility. Now that the field is more advanced, we put forward two suggestions: (1) to use methods which keep more faithfully the original experimental signal properties of macromolecules when "enhancing" the map, and (2) to further stress the need to deposit the original experimental maps without any postprocessing or sharpening, not only the enhanced maps. In the absence of access to these original maps data is lost, preventing their future analysis with new methods.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  00–01; 99–00; B-factor correction; Electron microscopy; Sharpening; Single Particle Analysis; Structure factor

Mesh:

Substances:

Year:  2020        PMID: 31911170     DOI: 10.1016/j.jsb.2020.107447

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  5 in total

1.  Image Processing in Cryo-Electron Microscopy of Single Particles: The Power of Combining Methods.

Authors:  Carlos Oscar S Sorzano; Amaya Jiménez-Moreno; David Maluenda; Erney Ramírez-Aportela; Marta Martínez; Ana Cuervo; Robert Melero; Jose Javier Conesa; Ruben Sánchez-García; David Strelak; Jiri Filipovic; Estrella Fernández-Giménez; Federico de Isidro-Gómez; David Herreros; Pablo Conesa; Laura Del Caño; Yunior Fonseca; Jorge Jiménez de la Morena; Jose Ramon Macías; Patricia Losana; Roberto Marabini; Jose-Maria Carazo
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Emerging Themes in CryoEM─Single Particle Analysis Image Processing.

Authors:  Jose Luis Vilas; Jose Maria Carazo; Carlos Oscar S Sorzano
Journal:  Chem Rev       Date:  2022-07-04       Impact factor: 72.087

3.  Wilson statistics: derivation, generalization and applications to electron cryomicroscopy.

Authors:  Amit Singer
Journal:  Acta Crystallogr A Found Adv       Date:  2021-08-20       Impact factor: 2.331

4.  On bias, variance, overfitting, gold standard and consensus in single-particle analysis by cryo-electron microscopy.

Authors:  C O S Sorzano; A Jiménez-Moreno; D Maluenda; M Martínez; E Ramírez-Aportela; J Krieger; R Melero; A Cuervo; J Conesa; J Filipovic; P Conesa; L Del Caño; Y C Fonseca; J Jiménez-de la Morena; P Losana; R Sánchez-García; D Strelak; E Fernández-Giménez; F P de Isidro-Gómez; D Herreros; J L Vilas; R Marabini; J M Carazo
Journal:  Acta Crystallogr D Struct Biol       Date:  2022-03-16       Impact factor: 7.652

5.  DeepEMhancer: a deep learning solution for cryo-EM volume post-processing.

Authors:  Ruben Sanchez-Garcia; Josue Gomez-Blanco; Ana Cuervo; Jose Maria Carazo; Carlos Oscar S Sorzano; Javier Vargas
Journal:  Commun Biol       Date:  2021-07-15
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.