Evidence map›Paper›PMID 31144202›Full record

ReviewThe protein journal2019

Crosslinking and Reconstitution Approaches to Study Protein Transport.

Andreas Kuhn

Abstract readReview
PubMed Publisher
In one paragraph

Review in The protein journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Structure and Stoichiometry of the Ton Molecular Motor.International journal of molecular sciences · 2020
    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

1 author at 1 institution in 1 country.

Andreas KuhnInstitute of Microbiology and Molecular Biology, University of Hohenheim, 70599, Stuttgart, Germany. Andreas.Kuhn@uni-hohenheim.de.ORCID 0000-0003-3738-5744
University of Hohenheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify the translocation components in cells, and to understand how they function in protein transport and membrane insertion, a variety of techniques have been used such as genetics, biochemistry, structural biology and single molecule methods. In particular, site-directed crosslinking between the client proteins and components of the translocation machineries have contributed significantly in the past and will do so in the future. One advantage of this technology is that it can be applied in vivo as well as in vitro and a comparison of the two approaches can be made. Also, the in vivo techniques allow time-dependent protocols which are essential for studying cellular pathways. Protein purification and reconstitution into proteoliposomes are the gold standard for studying membrane-based transport and translocation systems. With these biochemically defined approaches the function of each component in protein transport can be addressed individually with a plethora of biophysical techniques. Recently, the use of nanodiscs for reconstitution has added another extension of this reductionistic approach. Fluorescence based studies, cryo-microscopy and NMR spectroscopy have significantly added to our understanding how proteins move into and across membranes and will do this also in future.

Indexed as

Protein TransportBacteriaCryoelectron MicroscopyEukaryotaFluorescence Resonance Energy TransferMagnetic Resonance SpectroscopyMicroscopy, FluorescenceProtein Translocation SystemsProteolipidsSingle Molecule ImagingProtein Translocation SystemsProteolipidsproteoliposomesDisulfide-crosslinkingFörster resonance energy transfer (FRET)Photo-crosslinkingProteoliposomesReconstitution

Identifiers

PMID31144202
OpenAlexW2947166069

What OpenQuestion holds

Textmetadata
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.