ReviewBiochemical Society transactions2023
Cryo-electron tomography to study viral infection.
Review in Biochemical Society transactions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Labeling and Localization Strategies for In Situ Cryo-Electron Tomography Across the Viral Life Cycle.Viruses · 2026Review
- Reproducible Sample Preparation of Virus-Infected Cells for Cryo-FIB/ET Using Manual Plunge Freezing.Bio-protocol · 2026Article
- Atomistic simulations of intact virus capsids: A computational challenge worth the scientific payoff.Current opinion in structural biology · 2025Review
- Nonviral protein cages as tools to decipher and combat viral threats.Npj viruses · 2025Review
- Structural glycobiology - from enzymes to organelles.Biochemical Society transactions · 2025Review
- Unleashing virus structural biology: Probing protein and membrane intermediates in the dynamic process of membrane fusion.QRB discovery · 2025Review
- Visualizing intermediate stages of viral membrane fusion by cryo-electron tomography.Trends in biochemical sciences · 2024Review
- The advent of preventive high-resolution structural histopathology by artificial-intelligence-powered cryogenic electron tomography.Frontiers in molecular biosciences · 2024Review
- Cryo-electron microscopy in the study of virus entry and infection.Frontiers in molecular biosciences · 2024Review
- Conventional Electron Microscopy, Cryogenic Electron Microscopy, and Cryogenic Electron Tomography of Viruses.Sub-cellular biochemistry · 2024Review
- Recent advances in infectious disease research using cryo-electron tomography.Frontiers in molecular biosciences · 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
2 authors.
Funding
Abstract
Developments in cryo-electron microscopy (cryo-EM) have been interwoven with the study of viruses ever since its first applications to biological systems. Following the success of single particle cryo-EM in the last decade, cryo-electron tomography (cryo-ET) is now rapidly maturing as a technology and catalysing great advancement in structural virology as its application broadens. In this review, we provide an overview of the use of cryo-ET to study viral infection biology, discussing the key workflows and strategies used in the field. We highlight the vast body of studies performed on purified viruses and virus-like particles (VLPs), as well as discussing how cryo-ET can characterise host-virus interactions and membrane fusion events. We further discuss the importance of in situ cellular imaging in revealing previously unattainable details of infection and highlight the need for validation of high-resolution findings from purified ex situ systems. We give perspectives for future developments to achieve the full potential of cryo-ET to characterise the molecular processes of viral infection.
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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.