Evidence map›Paper›PMID 27284045›Full record

ReviewBiochemical Society transactions2016

A growing toolbox of techniques for studying β-barrel outer membrane protein folding and biogenesis.

Jim E Horne, Sheena E Radford

Open access · hybridAbstract readReview
In one paragraph

Review in Biochemical Society transactions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. The Formation ofMembranes · 2023
    Article
  4. Chaperones Skp and SurA dynamically expand unfolded OmpX and synergistically disassemble oligomeric aggregates.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. 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

2 authors at 1 institution in 1 country.

Jim E HorneAstbury Centre for Structural Molecular Biology and School of Molecular and Cellular Biology, The University of Leeds, Leeds LS2 9JT, U.K.
Sheena E RadfordAstbury Centre for Structural Molecular Biology and School of Molecular and Cellular Biology, The University of Leeds, Leeds LS2 9JT, U.K. s.e.radford@leeds.ac.uk.
University of Leeds · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M011151/1
6 · The paper itself

Abstract

Great strides into understanding protein folding have been made since the seminal work of Anfinsen over 40 years ago, but progress in the study of membrane protein folding has lagged behind that of their water soluble counterparts. Researchers in these fields continue to turn to more advanced techniques such as NMR, mass spectrometry, molecular dynamics (MD) and single molecule methods to interrogate how proteins fold. Our understanding of β-barrel outer membrane protein (OMP) folding has benefited from these advances in the last decade. This class of proteins must traverse the periplasm and then insert into an asymmetric lipid membrane in the absence of a chemical energy source. In this review we discuss old, new and emerging techniques used to examine the process of OMP folding and biogenesis in vitro and describe some of the insights and new questions these techniques have revealed.

Indexed as

Computer SimulationProtein FoldingBacteriaBacterial Outer Membrane ProteinsChemistry Techniques, AnalyticalBacterial Outer Membrane Proteinsbiogenesisbiophysical techniquesouter membrane proteinprotein foldingβ-barrel

Identifiers

PMID27284045
PMCPMC4900752
OpenAlexW2344015147

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.