ReviewComputational and structural biotechnology journal2012
Limiting factors in single particle cryo electron tomography.
Review in Computational and structural biotechnology journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Non-averaged single-molecule tertiary structures reveal RNA self-folding through individual-particle cryo-electron tomography.Nature communications · 2024Article
- Knowledge Transfer from Macro-world to Micro-world: Enhancing 3D Cryo-ET Classification through Fine-Tuning Video-based Deep Models.Bioinformatics (Oxford, England) · 2024Article
- Detecting continuous structural heterogeneity in single-molecule localization microscopy data.Scientific reports · 2023Article
- Mapping molecular complexes with super-resolution microscopy and single-particle analysis.Open biology · 2022Review
- Cryo-electron tomography related radiation-damage parameters for individual-molecule 3D structure determination.Frontiers in chemistry · 2022Review
- Quantitative Cryo-Electron Tomography.Frontiers in molecular biosciences · 2022Review
- Rapid tilt-series method for cryo-electron tomography: Characterizing stage behavior during FISE acquisition.Journal of structural biology · 2021Article
- Current data processing strategies for cryo-electron tomography and subtomogram averaging.The Biochemical journal · 2021Review
- Architecture of the centriole cartwheel-containing region revealed by cryo-electron tomography.The EMBO journal · 2020Article
- Subdomain cryo-EM structure of nodaviral replication protein A crown complex provides mechanistic insights into RNA genome replication.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- emClarity: software for high-resolution cryo-electron tomography and subtomogram averaging.Nature methods · 2018Article
- Template-free 2D particle fusion in localization microscopy.Nature methods · 2018Article
- The advent of structural biologyBiophysics reports · 2017Article
- Determination of the ribosome structure to a resolution of 2.5 Å by single-particle cryo-EM.Protein science : a publication of the Protein Society · 2017Review
- Alignment algorithms and per-particle CTF correction for single particle cryo-electron tomography.Journal of structural biology · 2016Article
- Resolution improvement by 3D particle averaging in localization microscopy.Methods and applications in fluorescence · 2015Article
- High-resolution cryo-electron microscopy on macromolecular complexes and cell organelles.Protoplasma · 2014Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern methods of cryo electron microscopy and tomography allow visualization of protein nanomachines in their native state at the nanometer scale. Image processing methods including sub-volume averaging applied to repeating macromolecular elements within tomograms allow exploring their structures within the native context of the cell, avoiding the need for protein isolation and purification. Today, many different data acquisition protocols and software solutions are available to researchers to determine average structures of macromolecular complexes and potentially to classify structural intermediates. Here, we list the density maps reported in the literature, and analyze each structure for the chosen instrumental settings, sample conditions, main processing steps, and obtained resolution. We present conclusions that identify factors currently limiting the resolution gained by this approach.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.