Evidence map›Paper›PMID 22876890›Full record

ArticleBMC microbiology2012

AtlasT4SS: a curated database for type IV secretion systems.

Rangel C Souza, Guadalupe del Rosario Quispe Saji, Maiana O C Costa, Diogo S Netto, Nicholas C B Lima, Cecília C Klein, Ana Tereza R Vasconcelos, Marisa F Nicolás

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Implication of the Type IV Secretion System in the Pathogenicity ofFrontiers in cellular and infection microbiology · 2021
    Article
  6. Multidrug-resistant plasmids repress chromosomally encoded T6SS to enable their dissemination.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  7. BioMed research international · 2019
    Article
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  14. Review
  15. Article
  16. Review
  17. Databases for Microbiologists.Journal of bacteriology · 2015
    Review
  18. Article
  19. Article
  20. Article
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

8 authors at 1 institution in 1 country.

Rangel C SouzaThe National Laboratory for Scientific Computing LNCC, Getúlio Vargas, Petrópolis, Rio de Janeiro, Brazil.
Guadalupe del Rosario Quispe Saji
Maiana O C Costa
Diogo S Netto
Nicholas C B Lima
Cecília C Klein
Ana Tereza R Vasconcelos
Marisa F Nicolás
Laboratório Nacional de Computação Científica · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe type IV secretion system (T4SS) can be classified as a large family of macromolecule transporter systems, divided into three recognized sub-families, according to the well-known functions. The major sub-family is the conjugation system, which allows transfer of genetic material, such as a nucleoprotein, via cell contact among bacteria. Also, the conjugation system can transfer genetic material from bacteria to eukaryotic cells; such is the case with the T-DNA transfer of Agrobacterium tumefaciens to host plant cells. The system of effector protein transport constitutes the second sub-family, and the third one corresponds to the DNA uptake/release system. Genome analyses have revealed numerous T4SS in Bacteria and Archaea. The purpose of this work was to organize, classify, and integrate the T4SS data into a single database, called AtlasT4SS - the first public database devoted exclusively to this prokaryotic secretion system. DESCRIPTION: The AtlasT4SS is a manual curated database that describes a large number of proteins related to the type IV secretion system reported so far in Gram-negative and Gram-positive bacteria, as well as in Archaea. The database was created using the RDBMS MySQL and the Catalyst Framework based in the Perl programming language and using the Model-View-Controller (MVC) design pattern for Web. The current version holds a comprehensive collection of 1,617 T4SS proteins from 58 Bacteria (49 Gram-negative and 9 Gram-Positive), one Archaea and 11 plasmids. By applying the bi-directional best hit (BBH) relationship in pairwise genome comparison, it was possible to obtain a core set of 134 clusters of orthologous genes encoding T4SS proteins.

conclusionsIn our database we present one way of classifying orthologous groups of T4SSs in a hierarchical classification scheme with three levels. The first level comprises four classes that are based on the organization of genetic determinants, shared homologies, and evolutionary relationships: (i) F-T4SS, (ii) P-T4SS, (iii) I-T4SS, and (iv) GI-T4SS. The second level designates a specific well-known protein families otherwise an uncharacterized protein family. Finally, in the third level, each protein of an ortholog cluster is classified according to its involvement in a specific cellular process. AtlasT4SS database is open access and is available at http://www.t4ss.lncc.br.

Indexed as

Bacterial Secretion SystemsDatabases, GeneticPlasmidsArchaeaBacteriaMembrane Transport ProteinsBacterial Secretion SystemsMembrane Transport Proteins

Identifiers

PMID22876890
PMCPMC3489848
OpenAlexW2060081211

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.