ArticleStructure (London, England : 1993)2012
Specific, sensitive, high-resolution detection of protein molecules in eukaryotic cells using metal-tagging transmission electron microscopy.
Article in Structure (London, England : 1993), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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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
33 citing papers in PubMed, 68 citations in OpenAlex.
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- Genetically encoded barcodes for correlative volume electron microscopy.Nature biotechnology · 2023Article
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- Localizing Proteins on Single Trafficking Organelles in 3D with Semisynthetic Gold Labeling and Platinum Replica Electron Microscopy.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Review
- Ex vivo visualization of RNA polymerase III-specific gene activity with electron microscopy.Communications biology · 2021Article
- DNA origami signposts for identifying proteins on cell membranes by electron cryotomography.Cell · 2021Article
- The Protective Role of TLR2 Mediates Impaired Autophagic Flux by Activating the mTOR Pathway DuringFrontiers in cellular and infection microbiology · 2021Article
- Genetically encoded tags for direct synthesis of EM-visible gold nanoparticles in cells.Nature methods · 2020Article
- Review
- CryoAPEX - an electron tomography tool for subcellular localization of membrane proteins.Journal of cell science · 2019Article
- The viral replication organelles within cells studied by electron microscopy.Advances in virus research · 2019Article
- Reovirus σNS and μNS Proteins Remodel the Endoplasmic Reticulum to Build Replication Neo-Organelles.mBio · 2018Article
- FerriTag is a new genetically-encoded inducible tag for correlative light-electron microscopy.Nature communications · 2018Article
- Bacterial encapsulins as orthogonal compartments for mammalian cell engineering.Nature communications · 2018Article
- Metal-tagging Transmission Electron Microscopy for Localisation of Tombusvirus Replication Compartments in Yeast.Bio-protocol · 2018Article
- Influenza virus genome reaches the plasma membrane via a modified endoplasmic reticulum and Rab11-dependent vesicles.Nature communications · 2017Article
- Induction of Atypical Autophagy by Porcine Hemagglutinating Encephalomyelitis Virus Contributes to Viral Replication.Frontiers in cellular and infection microbiology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
More than any other methodology, transmission electron microscopy (TEM) has contributed to our understanding of the architecture and organization of cells. With current detection limits approaching atomic resolution, it will ultimately become possible to ultrastructurally image intracellular macromolecular assemblies in situ. Presently, however, methods to unambiguously identify proteins within the crowded environment of the cell's interior are lagging behind. We describe an approach, metal-tagging TEM (METTEM), that allows detection of intracellular proteins in mammalian cells with high specificity, exceptional sensitivity, and at molecular scale resolution. In live cells treated with gold salts, proteins bearing a small metal-binding tag will form 1-nm gold nanoclusters, readily detectable in electron micrographs. The applicability and strength of METTEM is demonstrated by a study of Rubella virus replicase and capsid proteins, which revealed virus-induced cell structures not seen before.
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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.