Evidence map›Paper›PMID 33900294›Full record

ArticleJournal of visualized experiments : JoVE2021

Preparation of Sample Support Films in Transmission Electron Microscopy using a Support Floatation Block.

Natàlia de Martín Garrido, Kailash Ramlaul, Christopher H S Aylett

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Natàlia de Martín GarridoSection of Structural & Synthetic Biology, Department of Infectious Diseases, Faculty of Medicine, Imperial College London, South Kensington Campus.
Kailash RamlaulSection of Structural & Synthetic Biology, Department of Infectious Diseases, Faculty of Medicine, Imperial College London, South Kensington Campus.
Christopher H S AylettSection of Structural & Synthetic Biology, Department of Infectious Diseases, Faculty of Medicine, Imperial College London, South Kensington Campus; c.aylett@imperial.ac.uk.

Funding

Wellcome Trust 206212Wellcome Trust 206212/Z/17/Z
6 · The paper itself

Abstract

Structure determination by cryo-electron microscopy (cryo-EM) has rapidly grown in the last decade; however, sample preparation remains a significant bottleneck. Macromolecular samples are ideally imaged directly from random orientations in a thin layer of vitreous ice. However, many samples are refractory to this, and protein denaturation at the air-water interface is a common problem. To overcome such issues, support films-including amorphous carbon, graphene, and graphene oxide-can be applied to the grid to provide a surface which samples can populate, reducing the probability of particles experiencing the deleterious effects of the air-water interface. The application of these delicate supports to grids, however, requires careful handling to prevent breakage, airborne contamination, or extensive washing and cleaning steps. A recent report describes the development of an easy-to-use floatation block that facilitates wetted transfer of support films directly to the sample. Use of the block minimizes the number of manual handling steps required, preserving the physical integrity of the support film, and the time over which hydrophobic contamination can accrue, ensuring that a thin film of ice can still be generated. This paper provides step-by-step protocols for the preparation of carbon, graphene, and graphene oxide supports for EM studies.

Indexed as

CarbonCryoelectron MicroscopyMicroscopy, Electron, TransmissionCarbon

Identifiers

PMID33900294
PMCPMC7612214

What OpenQuestion holds

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Registered trials

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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.