Evidence map›Paper›PMID 31400768›Full record

ArticleMicrobial cell factories2019

Shaping the lipid composition of bacterial membranes for membrane protein production.

Kerstin Kanonenberg, Jorge Royes, Alexej Kedrov, Gereon Poschmann, Federica Angius, Audrey Solgadi, Olivia Spitz, Diana Kleinschrodt, Kai Stühler, Bruno Miroux and 1 more

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The extracellular domain ofFrontiers in microbiology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Current research in structural biology · 2021
    Article
  10. Review
  11. 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

11 authors at 3 institutions in 3 countries.

Kerstin KanonenbergInstitute of Biochemistry, Heinrich-Heine-University Duesseldorf, Universitaetsstr. 1, 40225, Duesseldorf, Germany.
Jorge RoyesLaboratoire de Biologie Physico-Chimique des Protéines Membranaires, UMR7099, CNRS, IBPC, Université Paris Diderot, Sorbonne Paris Cité, 13 rue Pierre et Marie Curie, 75005, Paris, France.
Alexej KedrovInstitute of Biochemistry, Heinrich-Heine-University Duesseldorf, Universitaetsstr. 1, 40225, Duesseldorf, Germany.
Gereon PoschmannMolecular Proteomics Laboratory, Biologisch Medizinisches Forschungszentrum (BMFZ), Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.
Federica AngiusLaboratoire de Biologie Physico-Chimique des Protéines Membranaires, UMR7099, CNRS, IBPC, Université Paris Diderot, Sorbonne Paris Cité, 13 rue Pierre et Marie Curie, 75005, Paris, France.
Audrey SolgadiInstitut Paris Saclay d'Innovation Thérapeutique, INSERM, CNRS, - Plateforme SAMM, Université Paris-Saclay, Châtenay-Malabry, France.
Olivia SpitzInstitute of Biochemistry, Heinrich-Heine-University Duesseldorf, Universitaetsstr. 1, 40225, Duesseldorf, Germany.
Diana KleinschrodtInstitute of Biochemistry, Heinrich-Heine-University Duesseldorf, Universitaetsstr. 1, 40225, Duesseldorf, Germany.
Kai StühlerMolecular Proteomics Laboratory, Biologisch Medizinisches Forschungszentrum (BMFZ), Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.
Bruno MirouxLaboratoire de Biologie Physico-Chimique des Protéines Membranaires, UMR7099, CNRS, IBPC, Université Paris Diderot, Sorbonne Paris Cité, 13 rue Pierre et Marie Curie, 75005, Paris, France. bruno.miroux@ibpc.fr.ORCID http://orcid.org/0000-0002-3066-4700
Lutz SchmittInstitute of Biochemistry, Heinrich-Heine-University Duesseldorf, Universitaetsstr. 1, 40225, Duesseldorf, Germany. lutz.schmitt@hhu.de.ORCID http://orcid.org/0000-0002-1167-9819
Heinrich Heine University Düsseldorf · DECentre National de la Recherche Scientifique · FRUniversité Claude Bernard Lyon 1 · FR

Funding

Deutsche Forschungsgemeinschaft CRC 1208Deutsche Forschungsgemeinschaft KE1879/3-1
6 · The paper itself

Abstract

backgroundThe overexpression and purification of membrane proteins is a bottleneck in biotechnology and structural biology. E. coli remains the host of choice for membrane protein production. To date, most of the efforts have focused on genetically tuning of expression systems and shaping membrane composition to improve membrane protein production remained largely unexplored.

resultsIn E. coli C41(DE3) strain, we deleted two transporters involved in fatty acid metabolism (OmpF and AcrB), which are also recalcitrant contaminants crystallizing even at low concentration. Engineered expression hosts presented an enhanced fitness and improved folding of target membrane proteins, which correlated with an altered membrane fluidity. We demonstrated the scope of this approach by overproducing several membrane proteins (4 different ABC transporters, YidC and SecYEG).

conclusionsIn summary, E. coli membrane engineering unprecedentedly increases the quality and yield of membrane protein preparations. This strategy opens a new field for membrane protein production, complementary to gene expression tuning.

Indexed as

ATP-Binding Cassette TransportersEscherichia coliEscherichia coli ProteinsLipidsMembrane ProteinsMembrane Transport ProteinsMetabolic EngineeringSEC Translocation ChannelsATP-Binding Cassette TransportersEscherichia coli ProteinsLipidsMembrane ProteinsMembrane Transport ProteinsSEC Translocation ChannelsYIDC protein, E coliLipidomeMembrane engineeringMembrane proteinSolubilizationStrain engineering

Identifiers

PMID31400768
PMCPMC6689329
OpenAlexW2968803786

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.