Data from: Correction of preferred-orientation induced distortion in cryo-electron microscopy maps
Data files
Jun 19, 2024 version files 1.17 GB
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Fig1_csv.rar
5.14 KB
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Fig3_MRC_map.rar
562.96 MB
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Fig4_MRC_map.rar
388.03 MB
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Fig6__FigS8__FigS9__csv_MRC.rar
215.61 MB
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Fig7__FigS12_csv.rar
120.36 KB
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FigS10__FigS11_csv.rar
366.42 KB
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FigS13_csv.rar
421.30 KB
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FigS5_csv.rar
543.63 KB
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FigS6_csv.rar
529.50 KB
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README.md
5.97 KB
Abstract
Reconstruction maps of cryo-electron microscopy (cryo-EM) exhibit distortion when the cryo-EM dataset is incomplete, usually caused by unevenly distributed orientations. Prior efforts had been attempted to address this preferred orientation problem using tilt-collection strategy, modifications to grids or to air-water-interfaces. However, these approaches often require time-consuming experiments and the effect was always protein dependent. Here, we developed a procedure containing removing mis-aligned particles and an iterative reconstruction method based on signal-to-noise ratio of Fourier component to correct such distortion by recovering missing data using a purely computational algorithm. This procedure called Signal-to-Noise Ratio Iterative Reconstruction Method (SIRM) was applied on incomplete datasets of various proteins to fix distortion in cryo-EM maps and to a more isotropic resolution. In addition, SIRM provides a better reference map for further reconstruction refinements, resulting in an improved alignment, which ultimately improves map quality and benefits model building.
We have submitted the original chart files (.csv) and density maps (.mrc) related to the images in the article “Correction of preferred-orientation induced distortion in cryo-electron microscopy maps”
Descriptions
SIRM_Fig1_csv.rar
- Fig1A.csv: The CSV file corresponding to the histogram of Euler angle deviations in particle sets with different degrees of missing wedge under conventional refinement.
- Fig1B.csv: The CSV file corresponding to the histogram of Euler angle deviations in particle sets with different degrees of missing wedge After Cross-Validation process.
SIRM_Fig3_MRC_map.rar
- groundTruth.mrc: The ground-truth density map of Apo-ferritin without missing cone, corresponding to Fig.3A.
- loss70_sameParticleNum.mrc: The MC-35 density map of Apo-ferritin, corresponding to Fig.3D.
- loss70_sameParticleNum_SIRM.mrc: The MC-35 density map of Apo-ferritin after SIRM processing, corresponding to Fig.3G.
- loss80_sameParticleNum.mrc: The MC-40 density map of Apo-ferritin, corresponding to Fig.3E.
- loss80_sameParticleNum_SIRM.mrc: The MC-40 density map of Apo-ferritin after SIRM processing, corresponding to Fig.3H.
- loss90_sameParticleNum.mrc: The MC-45 density map of Apo-ferritin, corresponding to Fig.3F.
- loss90_sameParticleNum_SIRM.mrc: The MC-45 density map of Apo-ferritin after SIRM processing, corresponding to Fig.3I.
SIRM_Fig4_MRC_map.rar
- groundTruth.mrc: The ground-truth density map of EMPIAR-10097 HA-trimer without missing cone, corresponding to Fig.4A.
- loss70_sameParticleNum_bf50.mrc: The MC-35 density map of EMPIAR-10097 HA-trimer, corresponding to Fig.4D.
- loss70_SIRM_hist10_bf50.mrc: The MC-35 density map of EMPIAR-10097 HA-trimer after SIRM processing, corresponding to Fig.4G.
- loss80_sameParticleNum_bf50.mrc: The MC-35 density map of EMPIAR-10097 HA-trimer, corresponding to Fig.4E.
- loss80_SIRM_hist10_bf50.mrc: The MC-35 density map of EMPIAR-10097 HA-trimer after SIRM processing, corresponding to Fig.4H.
- loss90_sameParticleNum_bf50.mrc: The MC-35 density map of EMPIAR-10097 HA-trimer, corresponding to Fig.4F.
- loss90_SIRM_hist10_bf50.mrc: The MC-35 density map of EMPIAR-10097 HA-trimer after SIRM processing, corresponding to Fig.4I.
SIRM_Fig6&\&FigS8&\&FigS9__csv\&MRC.rar
- Fig6A.csv: The CSV file corresponding to the Fig.6A, The histogram compares the Euler angle errors between conventional refinement and SIRM refinement, as well as between cross-validation and mask-picking.
- Fig6B.csv: The CSV file corresponding to the Fig.6B. Note that this CSV file contains several columns, which represent multiple directional FSCs.
- FigS8A.csv: The CSV file corresponding to the FigS.8A. This histogram shows the directional-FSC of ribosomes after SIRM processing.
- FigS8B.csv: The CSV file corresponding to the FigS.8A. This histogram shows the directional-FSC of ribosomes without SIRM processing.
- FigS8E.csv: The CSV file corresponding to the Fig.S8E. Note that this CSV file contains several columns, which represent multiple directional FSCs.
- ribosome_MC50.mrc: The MC-45 density map of ribosome with alignment-error, corresponding to Fig.6C.
- ribosome_SIRM.mrc: The MC-45 density map of ribosome with alignment-error after SIRM processing, corresponding to Fig.6D.
SIRM_Fig7&\&FigS12_csv.rar
- FigS12C.csv FigS12D.csv FigS12E.csv FigS12F.csv: The CSV file corresponding to FigS12C FigS12D FigS12E FigS12F.
SIRM_FigS5_csv.rar
- FigS5A.csv FigS5C.csv FigS5E.csv FigS5G.csv FigS5I.csv FigS5K.csv: The 3D-FSC CSV file corresponding to FigS5A FigS5C FigS5E FigS5G FigS5I FigS5K. Note that this CSV file contains several columns, which represent multiple directional FSCs
- FigS5B.csv FigS5D.csv FigS5F.csv FigS5H.csv FigS5J.csv FigS5L.csv: The D-FSC CSV file corresponding to FigS5A FigS5C FigS5E FigS5G FigS5I FigS5K.
SIRM_FigS6_csv.rar
- FigS6A.csv FigS6C.csv FigS6E.csv FigS6G.csv FigS6I.csv FigS6K.csv: The 3D-FSC CSV file corresponding to FigS6A FigS6C FigS6E FigS6G FigS6I FigS6K. Note that this CSV file contains several columns, which represent multiple directional FSCs
- FigS6B.csv FigS6D.csv FigS6F.csv FigS6H.csv FigS6J.csv FigS6L.csv: The D-FSC CSV file corresponding to FigS6A FigS6C FigS6E FigS6G FigS6I FigS6K.
SIRM_FigS10&\&FigS11_csv.rar
- FigS11A.csv FigS11B.csv FigS11C.csv FigS11D.csv: The CSV file corresponding to FigS11A FigS11B FigS11C FigS11D. They demonstrated the results before and after the density SIRM-restoration of HA-trimer with an MC-40 missing wedge (with alignment errors).
- FigS11G.csv FigS11H.csv FigS11I.csv FigS11J.csv: The CSV file corresponding to FigS11A FigS11B FigS11C FigS11D. They demonstrated the results before and after the density SIRM-restoration of PS-I complex with an MC-40 missing wedge (with alignment errors).
- FigS11E.csv FigS11F.csv: The CSV file corresponding to FigS11E FigS11F. They demonstrated the recovery capability of our method for Euler angle errors.
SIRM_FigS13_csv.rar
- FigS13A.csv FigS13B.csv FigS13C.csv FigS13D.csv FigS13E.csv FigS13F.csv: The 3D-FSC CSV file corresponding to FigS13A FigS13B FigS13C FigS13D FigS13E FigS13F. They demonstrated that the recovery effectiveness of SIRM decreases as the signal-to-noise ratio (number of particles) decrease.
Key Information Sources
SIRM\3D-FSC\&Directional-FSC
- The 3DFSC and Directional FSC calculation software are sourced from https://github.com/LyumkisLab/3DFSC.
SIRM\Figures
- The figures are sourced from UCSF Chimera and ChimeraX
SIRM\Softwares
- Softwares are uploaded to https://github.com/homurachan/SIRM_RELION.
Code/Software
SIRM\Softwares
- Softwares and code are uploaded to https://github.com/homurachan/SIRM_RELION.