Evidence map›Paper›PMID 19640852›Full record

ArticleMolecular & cellular proteomics : MCP2009

Outside the unusual cell wall of the hyperthermophilic archaeon Aeropyrum pernix K1.

Gianna Palmieri, Raffaele Cannio, Immacolata Fiume, Mosé Rossi, Gabriella Pocsfalvi

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2009. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Shaping the archaeal cell envelope.Archaea (Vancouver, B.C.) · 2010
    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

5 authors.

Gianna PalmieriInstitute of Protein Biochemistry-National Research Council, 80131 Naples, Italy.
Raffaele Cannio
Immacolata Fiume
Mosé Rossi
Gabriella Pocsfalvi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In contrast to the extensively studied eukaryal and bacterial protein secretion systems, comparatively less is known about how and which proteins cross the archaeal cell membrane. To identify secreted proteins of the hyperthermophilic archaeon Aeropyrum pernix K1 we used a proteomics approach to analyze the extracellular and cell surface protein fractions. The experimentally obtained data comprising 107 proteins were compared with the in silico predicted secretome. Because of the lack of signal peptide and cellular localization prediction tools specific for archaeal species, programs trained on eukaryotic and/or Gram-positive and Gram-negative bacterial signal peptide data sets were used. PSortB Gram-negative and Gram-positive analysis predicted 21 (1.2% of total ORFs) and 24 (1.4% of total ORFs) secreted proteins, respectively, from the entire A. pernix K1 proteome, 12 of which were experimentally identified in this work. Six additional proteins were predicted to follow non-classical secretion mechanisms using SecP algorithms. According to at least one of the two PSortB predictions, 48 proteins identified in the two fractions possess an unknown localization site. In addition, more than half of the proteins do not contain signal peptides recognized by current prediction programs. This suggests that known mechanisms only partly describe archaeal protein secretion. The most striking characteristic of the secretome was the high number of transport-related proteins identified from the ATP-binding cassette (ABC), tripartite ATP-independent periplasmic, ATPase, small conductance mechanosensitive ion channel (MscS), and dicarboxylate amino acid-cation symporter transporter families. In particular, identification of 21 solute-binding receptors of the ABC superfamily of the 24 predicted in silico confirms that ABC-mediated transport represents the most frequent strategy adopted by A. pernix for solute translocation across the cell membrane.

Indexed as

AeropyrumArchaeaCell MembraneCell WallChromatography, High Pressure LiquidElectrophoresis, Polyacrylamide GelGram-Negative BacteriaGram-Positive BacteriaOpen Reading FramesProtein BindingProteomeProteomicsSpectrometry, Mass, Electrospray IonizationSurface PropertiesTandem Mass SpectrometryProteome

Identifiers

PMID19640852
PMCPMC2773722

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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.