Evidence map›Paper›PMID 32246057›Full record

ArticleCommunications biology2020

Free-energy landscapes of membrane co-translocational protein unfolding.

Christian Bech Rosen, Hagan Bayley, David Rodriguez-Larrea

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 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
1.1field-weighted citation impact, top 25% 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, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Biological Nanopores: Engineering on Demand.Life (Basel, Switzerland) · 2021
    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

3 authors at 3 institutions in 3 countries.

Christian Bech RosenDepartment of Chemistry, University of Oxford, 12 Mansfield Road, Oxford, OX1 3TA, UK.
Hagan BayleyDepartment of Chemistry, University of Oxford, 12 Mansfield Road, Oxford, OX1 3TA, UK.ORCID http://orcid.org/0000-0003-2499-6116
David Rodriguez-LarreaBiofisika Institute (CSIC, UPV/EHU) and Department of Biochemistry and Molecular Biology (UPV/EHU) Barrio Sarriena s/n, Leioa, 48940, Spain. david.rodriguezl@ehu.es.ORCID http://orcid.org/0000-0002-5580-7413
Novozymes (Denmark) · DKUniversity of Oxford · GBUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein post-translational translocation is found at the plasma membrane of prokaryotes and protein import into organellae. Translocon structures are becoming available, however the dynamics of proteins during membrane translocation remain largely obscure. Here we study, at the single-molecule level, the folding landscape of a model protein while forced to translocate a transmembrane pore. We use a DNA tag to drive the protein into the α-hemolysin pore under a quantifiable force produced by an applied electric potential. Using a voltage-quench approach we find that the protein fluctuates between the native state and an intermediate in the translocation process at estimated forces as low as 1.9 pN. The fluctuation kinetics provide the free energy landscape as a function of force. We show that our stable, ≈15 k

Indexed as

Bacterial ToxinsCell MembraneEscherichia coli ProteinsHemolysin ProteinsKineticsMembrane PotentialsMutationProtein FoldingProtein TransportProtein UnfoldingSingle Molecule ImagingStructure-Activity RelationshipThioredoxinsBacterial ToxinsEscherichia coli ProteinsHemolysin Proteinsstaphylococcal alpha-toxinThioredoxinstrxC protein, E coli

Identifiers

PMID32246057
PMCPMC7125183
OpenAlexW3014779989

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.