ReviewCurrent opinion in structural biology2019
Advances in cryo-electron tomography and subtomogram averaging and classification.
Review in Current opinion in structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 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
54 citing papers in PubMed.
- TomoSwin3D: a Swin3D Transformer for the Identification and Classification of Macromolecules in 3D Cryo-ET Tomograms.bioRxiv : the preprint server for biology · 2026Article
- Bayesian perspective for orientation determination in cryo-EM with application to structural heterogeneity analysis.Acta crystallographica. Section D, Structural biology · 2026Article
- Cryogenic electron tomography by the numbers: Charting underexplored lineages in structural cell biology.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Resolving structural heterogeneity in situ through cryogenic electron tomography.Current opinion in structural biology · 2026Review
- Visualizing the translation landscape in human cells at high resolution.Nature communications · 2025Article
- Bayesian Perspective for Orientation Determination in Cryo-EM with Application to Structural Heterogeneity Analysis.bioRxiv : the preprint server for biology · 2025Article
- Structural biology inside multicellular specimens using electron cryotomography.Quarterly reviews of biophysics · 2025Review
- Practical Guide for Implementing Cryogenic Electron Microscopy Structure Determination in Dermatology Research.The Journal of investigative dermatology · 2025Review
- Accurate size-based protein localization from cryo-ET tomograms.Journal of structural biology: X · 2024Article
- CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN.Nature methods · 2024Article
- STOPGAP: an open-source package for template matching, subtomogram alignment and classification.Acta crystallographica. Section D, Structural biology · 2024Article
- Thinner is not always better: Optimizing cryo-lamellae for subtomogram averaging.Science advances · 2024Article
- TomoNet: A streamlined cryogenic electron tomography software pipeline with automatic particle picking on flexible lattices.Biological imaging · 2024Article
- Review
- MDTOMO method for continuous conformational variability analysis in cryo electron subtomograms based on molecular dynamics simulations.Scientific reports · 2023Article
- Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN.bioRxiv : the preprint server for biology · 2023Article
- Bringing Structure to Cell Biology with Cryo-Electron Tomography.Annual review of biophysics · 2023Review
- Manipulation of the Cellular Membrane-Cytoskeleton Network for RNA Virus Replication and Movement in Plants.Viruses · 2023Review
- Computational methods forFrontiers in cellular and infection microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Cryo-electron tomography (cryoET) can provide 3D reconstructions, or tomograms, of pleomorphic objects such as organelles or cells in their close-to-native states. Subtomograms that contain repetitive structures can be further extracted and subjected to averaging and classification to improve resolution, and this process has become an emerging structural biology method referred to as cryoET subtomogram averaging and classification (cryoSTAC). Recent technical advances in cryoSTAC have had a profound impact on many fields in biology. Here, I review recent exciting work on several macromolecular assemblies demonstrating the power of cryoSTAC for in situ structure analysis and discuss challenges and future directions.
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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.