Evidence map›Paper›PMID 23013516›Full record

ArticleBMC genomics2012

Is the C-terminal insertional signal in Gram-negative bacterial outer membrane proteins species-specific or not?

Nagarajan Paramasivam, Michael Habeck, Dirk Linke

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

35 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Recombinant Expression and Overproduction of Transmembrane β-Barrel Proteins.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Frontiers in cellular and infection microbiology · 2024
    Article
  8. The Name Is Barrel, β-Barrel.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  9. General features of transmembrane beta barrels from a large database.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Heterologous Display ofMembranes · 2023
    Article
  11. Article
  12. Outer membrane protein evolution.Current opinion in structural biology · 2021
    Review
  13. Comparative Phenotypic Analysis ofJournal of microbiology and biotechnology · 2021
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. The big BAM theory: An open and closed case?Biochimica et biophysica acta. Biomembranes · 2020
    Review
  20. 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 1 institution in 1 country.

Nagarajan ParamasivamDepartment I, Protein Evolution, Max Planck Institute for Developmental Biology, Tübingen, Germany.
Michael Habeck
Dirk Linke
Max Planck Institute for Developmental Biology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Gram-negative bacteria, the outer membrane is composed of an asymmetric lipid bilayer of phopspholipids and lipopolysaccharides, and the transmembrane proteins that reside in this membrane are almost exclusively β-barrel proteins. These proteins are inserted into the membrane by a highly conserved and essential machinery, the BAM complex. It recognizes its substrates, unfolded outer membrane proteins (OMPs), through a C-terminal motif that has been speculated to be species-specific, based on theoretical and experimental results from only two species, Escherichia coli and Neisseria meningitidis, where it was shown on the basis of individual sequences and motifs that OMPs from the one cannot easily be over expressed in the other, unless the C-terminal motif was adapted. In order to determine whether this species specificity is a general phenomenon, we undertook a large-scale bioinformatics study on all predicted OMPs from 437 fully sequenced proteobacterial strains.

resultsWe were able to verify the incompatibility reported between Escherichia coli and Neisseria meningitidis, using clustering techniques based on the pairwise Hellinger distance between sequence spaces for the C-terminal motifs of individual organisms. We noticed that the amino acid position reported to be responsible for this incompatibility between Escherichia coli and Neisseria meningitidis does not play a major role for determining species specificity of OMP recognition by the BAM complex. Instead, we found that the signal is more diffuse, and that for most organism pairs, the difference between the signals is hard to detect. Notable exceptions are the Neisseriales, and Helicobacter spp. For both of these organism groups, we describe the specific sequence requirements that are at the basis of the observed difference.

conclusionsBased on the finding that the differences between the recognition motifs of almost all organisms are small, we assume that heterologous overexpression of almost all OMPs should be feasible in E. coli and other Gram-negative bacterial model organisms. This is relevant especially for biotechnology applications, where recombinant OMPs are used e.g. for the development of vaccines. For the species in which the motif is significantly different, we identify the residues mainly responsible for this difference that can now be changed in heterologous expression experiments to yield functional proteins.

Indexed as

Amino Acid MotifsAmino Acid SequenceBacterial Outer Membrane ProteinsCell MembraneEscherichia coliEscherichia coli ProteinsGene FrequencyGram-Negative BacteriaLipopolysaccharidesNeisseria meningitidisPrincipal Component AnalysisSpecies SpecificityBacterial Outer Membrane ProteinsBamA protein, E coliEscherichia coli ProteinsLipopolysaccharides

Identifiers

PMID23013516
PMCPMC3582582
OpenAlexW1991825531

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.