Evidence map›Paper›PMID 32614509›Full record

ArticleCurrent protocols in protein science2020

Quantitative Analysis of Protein Self-Association by Sedimentation Velocity.

Huaying Zhao, Wenqi Li, Wendan Chu, Mary Bollard, Regina Adão, Peter Schuck

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current protocols in protein science, 2020. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An automated interface for sedimentation velocity analysis in SEDFIT.bioRxiv : the preprint server for biology · 2023
    Article
  5. Article
  6. Label-free methods for opticalPhysical chemistry chemical physics : PCCP · 2021
    Review
  7. Article
  8. Calibrating analytical ultracentrifuges.European biophysics journal : EBJ · 2021
    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

6 authors.

Huaying ZhaoDynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland.
Wenqi LiNational Protein Science Facility, School of Life Science, Tsinghua University, Beijing, China.
Wendan ChuNational Protein Science Facility, School of Life Science, Tsinghua University, Beijing, China.
Mary BollardDynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland.
Regina AdãoDynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland.
Peter SchuckDynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland.

Funding

Dynamics of Protein Assemblies by Analytical UltracentrifugationZ01EB000051 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI SCHUCK, PETER · 2007 to 2008
$111k
Intramural NIH HHS Z01 EB000051
6 · The paper itself

Abstract

Sedimentation velocity analytical ultracentrifugation is a powerful classical method to study protein self-association processes in solution based on the size-dependent macromolecular migration in the centrifugal field. This technique can elucidate the assembly scheme, measure affinities ranging from picomolar to millimolar K

Indexed as

BuffersCalibrationChemical FractionationHumansHydrodynamicsMolecular WeightProteinsTemperatureUltracentrifugationBuffersProteinsbinding isotherminstrument calibrationprotein self-associationsedimentation velocity

Identifiers

PMID32614509
PMCPMC7430532

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.