EMPIAR-10901 - CryoEM of Mycobacterium tuberculosis WT RNAP holoenzyme/RbpA bound to the Fdx and upstream fork DNA [multiple data sets in MRC format]

EMPIAR-10901

CryoEM of Mycobacterium tuberculosis WT RNAP holoenzyme/RbpA bound to the Fdx and upstream fork DNA [multiple data sets in MRC format]

Publication:

Fidaxomicin jams Mycobacterium tuberculosis RNA polymerase motions needed for initiation via RbpA contacts

Boyaci H, Chen J, Lilic M, Palka M, Mooney RA, Landick R, Darst SA, Campbell EA

eLife 7 (2018)

PMID: 29480804

DOI: 10.7554/elife.34823

Related EMDB entry:

EMD-7319

Deposited:

2021-12-03

Released:

2022-01-28

Last modified:

2022-02-25

Imageset size:

2.18 TB

Imageset DOI:

10.6019/EMPIAR-10901

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multiframe micrographs of M.tuberculosis RNAP holoenzyme with RbpA and inhibitor Fdx and upstream fork DNA

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

4608

Image size:

(3838, 3710)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(1.096, 1.096)

Details:

---

Files:

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2. Unaligned multiframe micrographs of M.tuberculosis RNAP holoenzyme with RbpA and inhibitor Fdx and upstream fork DNA

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

3756

Image size:

(3838, 3710)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(1.096, 1.096)

Details:

---

Files:

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

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Citations

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

CryoPROS: Correcting misalignment caused by preferred orientation using AI-generated auxiliary particles.

Zhang H, Zheng D, Wu Q, Yan N, Peng H, Hu Q, Peng Y, Yan Z, Shi Z, Bao C, Hu M. (2025)

Few-shot learning for non-vitrified ice segmentation.

Vivas-Lago A, Castaño-Díez D. (2025)

Automated removal of corrupted tilts in cryo-electron tomography.

Majtner T, Turoňová B. (2025)

Probabilistic single-particle cryo-EM ab initio 3D reconstruction in SIMPLE.

Van CTS, Reboul CF, Caesar JJE, Meana-Pañeda R, Lountos GT, Deme JC, Bryant OJ, Johnson S, Piczak CT, Valkov E, Lea SM, Elmlund H. (2025)

Reanalysis of cryo-EM data reveals ALK-cytokine assemblies with both 2:1 and 2:2 stoichiometries.

Felix J, De Munck S, Bazan JF, Savvides SN. (2025)

See all citations

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