Evidence map›Paper›PMID 30102271›Full record

ArticleJournal of visualized experiments : JoVE2018

Miniaturized Sample Preparation for Transmission Electron Microscopy.

Claudio Schmidli, Luca Rima, Stefan A Arnold, Thomas Stohler, Anastasia Syntychaki, Andrej Bieri, Stefan Albiez, Kenneth N Goldie, Mohamed Chami, Henning Stahlberg and 1 more

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 15% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Microfluidic protein isolation and sample preparation for high-resolution cryo-EM.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  8. Review
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

11 authors at 2 institutions in 2 countries.

Claudio SchmidliCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel; Swiss Nanoscience Institute, University of Basel.
Luca RimaCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel.
Stefan A ArnoldCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel; Swiss Nanoscience Institute, University of Basel.
Thomas StohlerCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel.
Anastasia SyntychakiCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel.
Andrej BieriCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel.
Stefan AlbiezCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel.
Kenneth N GoldieCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel.
Mohamed ChamiBioEM lab, Biozentrum, University of Basel.
Henning StahlbergCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel.
Thomas BraunCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel; thomas.braun@unibas.ch.
University of Basel · CHCenter for NanoScience · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to recent technological progress, cryo-electron microscopy (cryo-EM) is rapidly becoming a standard method for the structural analysis of protein complexes to atomic resolution. However, protein isolation techniques and sample preparation methods for EM remain a bottleneck. A relatively small number (100,000 to a few million) of individual protein particles need to be imaged for the high-resolution analysis of proteins by the single particle EM approach, making miniaturized sample handling techniques and microfluidic principles feasible. A miniaturized, paper-blotting-free EM grid preparation method for sample pre-conditioning, EM grid priming and post processing that only consumes nanoliter-volumes of sample is presented. The method uses a dispensing system with sub-nanoliter precision to control liquid uptake and EM grid priming, a platform to control the grid temperature thereby determining the relative humidity above the EM grid, and a pick-and-plunge-mechanism for sample vitrification. For cryo-EM, an EM grid is placed on the temperature-controlled stage and the sample is aspirated into a capillary. The capillary tip is positioned in proximity to the grid surface, the grid is loaded with the sample and excess is re-aspirated into the microcapillary. Subsequently, the sample film is stabilized and slightly thinned by controlled water evaporation regulated by the offset of the platform temperature relative to the dew-point. At a given point the pick-and-plunge mechanism is triggered, rapidly transferring the primed EM grid into liquid ethane for sample vitrification. Alternatively, sample-conditioning methods are available to prepare nanoliter-sized sample volumes for negative stain (NS) EM. The methodologies greatly reduce sample consumption and avoid approaches potentially harmful to proteins, such as the filter paper blotting used in conventional methods. Furthermore, the minuscule amount of sample required allows novel experimental strategies, such as fast sample conditioning, combination with single-cell lysis for "visual proteomics," or "lossless" total sample preparation for quantitative analysis of complex samples.

Indexed as

HumansMicrofluidicsMicroscopy, Electron, TransmissionProteomicsSingle-Cell Analysis

Identifiers

PMID30102271
PMCPMC6126565
OpenAlexW2884707482

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.