Evidence map›Paper›PMID 37451560›Full record

ArticleJournal of structural biology2023

A 3D-printed flow-cell for on-grid purification of electron microscopy samples directly from lysate.

Kailash Ramlaul, Ziyi Feng, Caoimhe Canavan, Natàlia de Martín Garrido, David Carreño, Michael Crone, Kirsten E Jensen, Bing Li, Harry Barnett, David T Riglar and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of structural biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

13 authors at 1 institution in 1 country.

Kailash RamlaulSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom.
Ziyi FengSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom.
Caoimhe CanavanSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom.
Natàlia de Martín GarridoSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom.
David CarreñoSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom.
Michael CroneSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom.
Kirsten E JensenSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom.
Bing LiHamlyn Centre, Department of Brain Sciences, Imperial College London, London, United Kingdom.
Harry BarnettImperial College Advanced Hackspace, Imperial College London, London, United Kingdom.
David T RiglarSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom; The Francis Crick Institute, London, United Kingdom.
Paul S FreemontSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom.
David MillerImperial College Advanced Hackspace, Imperial College London, London, United Kingdom. Electronic address: d.miller@imperial.ac.uk.
Christopher H S AylettSection for Structural and Synthetic Biology, Department of Infectious Disease, Imperial College London, London, United Kingdom. Electronic address: c.aylett@imperial.ac.uk.
Imperial College London · GB

Funding

Wellcome Trust 206212Wellcome Trust 206212/Z/17/AWellcome Trust 206212/Z/17/ZWellcome Trust 211230Wellcome Trust 211230/Z/18/Z
6 · The paper itself

Abstract

While recent advances in cryo-EM, coupled with single particle analysis, have the potential to allow structure determination in a near-native state from vanishingly few individual particles, this vision has yet to be realised in practise. Requirements for particle numbers that currently far exceed the theoretical lower limits, challenges with the practicalities of achieving high concentrations for difficult-to-produce samples, and inadequate sample-dependent imaging conditions, all result in significant bottlenecks preventing routine structure determination using cryo-EM. Therefore, considerable efforts are being made to circumvent these bottlenecks by developing affinity purification of samples on-grid; at once obviating the need to produce large amounts of protein, as well as more directly controlling the variable, and sample-dependent, process of grid preparation. In this proof-of-concept study, we demonstrate a further practical step towards this paradigm, developing a 3D-printable flow-cell device to allow on-grid affinity purification from raw inputs such as whole cell lysates, using graphene oxide-based affinity grids. Our flow-cell device can be interfaced directly with routinely-used laboratory equipment such as liquid chromatographs, or peristaltic pumps, fitted with standard chromatographic (1/16") connectors, and can be used to allow binding of samples to affinity grids in a controlled environment prior to the extensive washing required to remove impurities. Furthermore, by designing a device which can be 3D printed and coupled to routinely used laboratory equipment, we hope to increase the accessibility of the techniques presented herein to researchers working towards single-particle macromolecular structures.

Indexed as

Printing, Three-DimensionalProteinsCryoelectron MicroscopyMicroscopy, ElectronProteinsAffinity-gridCryo-EMGraphene oxideSupport floatation blockVitrification

Identifiers

PMID37451560
PMCPMC7618051
OpenAlexW4384025633

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.