Evidence map›Paper›PMID 31673302›Full record

ArticleBiomicrofluidics2019

Electrophoretic exclusion microscale sample preparation for cryo-EM structural determination of proteins.

Fanyi Zhu, Brent L Nannenga, Mark A Hayes

Abstract read
In one paragraph

Article in Biomicrofluidics, 2019. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Dielectrophoresis of proteins: experimental data and evolving theory.Analytical and bioanalytical chemistry · 2020
    Article
  6. 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

3 authors.

Fanyi ZhuSchool of Molecular Sciences, Arizona State University, Box 871604, Tempe, Arizona 85287-1604, USA.
Brent L NannengaSchool of Engineering of Matter, Transport and Energy, Arizona State University, Box 876106, Tempe, Arizona 85287-6106, USA.
Mark A HayesSchool of Molecular Sciences, Arizona State University, Box 871604, Tempe, Arizona 85287-1604, USA.

Funding

Differentiation of Mutant Virus ParticlesR03AI133397 · NIAID · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HAYES, MARK A, HOGUE, BRENDA G. · 2018 to 2019
$145k
Isolating Viral Particles from Whole BloodR03AI094193 · NIAID · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HAYES, MARK A, HOGUE, BRENDA G. · 2012 to 2013
$138k
NIAID NIH HHS R03 AI094193NIAID NIH HHS R03 AI133397
6 · The paper itself

Abstract

Transmission electron microscopy (TEM) of biological samples has a long history and has provided many important insights into fundamental processes and diseases. While great strides have been made in EM data collection and data processing, sample preparation is still performed using decades-old techniques. Those sample preparation methods rely on extensive macroscale purification and concentration to achieve homogeneity suitable for high-resolution analyses. Noting that relatively few bioparticles are needed to generate high-quality protein structures, this work uses microfluidics that can accurately and precisely manipulate and deliver bioparticles to grids for imaging. The use of microfluidics enables isolation, purification, and concentration of specific target proteins at these small scales and does so in a relatively short period of time (minutes). These capabilities enable imaging of more dilute solutions and obtaining pure protein images from mixtures. In this system, spatially isolated, purified, and concentrated proteins are transferred directly onto electron microscopy grids for imaging. The processing enables imaging of more dilute solutions, as low as 5 × 10

Identifiers

PMID31673302
PMCPMC6817354

What OpenQuestion holds

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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.