Evidence map›Paper›PMID 16118665›Full record

ArticlePLoS computational biology2005

Comparative analyses of fundamental differences in membrane transport capabilities in prokaryotes and eukaryotes.

Qinghu Ren, Ian T Paulsen

Abstract readComparative Study
In one paragraph

Article in PLoS computational biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
–field-weighted citation impact
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

75 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Evaluation ofInfection and immunity · 2025
    Article
  5. Article
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  7. Article
  8. Review
  9. Article
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  11. Article
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  13. Article
  14. Transporters of glucose and other carbohydrates in bacteria.Pflugers Archiv : European journal of physiology · 2020
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

15 more citing papers are in PubMed but not listed here.

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

2 authors.

Qinghu RenThe Institute for Genomic Research, Rockville, Maryland, USA.
Ian T Paulsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome transporter analyses have been conducted on 141 organisms whose complete genome sequences are available. For each organism, the complete set of membrane transport systems was identified with predicted functions, and classified into protein families based on the transporter classification system. Organisms with larger genome sizes generally possessed a relatively greater number of transport systems. In prokaryotes and unicellular eukaryotes, the significant factor in the increase in transporter content with genome size was a greater diversity of transporter types. In contrast, in multicellular eukaryotes, greater number of paralogs in specific transporter families was the more important factor in the increase in transporter content with genome size. Both eukaryotic and prokaryotic intracellular pathogens and endosymbionts exhibited markedly limited transport capabilities. Hierarchical clustering of phylogenetic profiles of transporter families, derived from the presence or absence of a certain transporter family, showed that clustering patterns of organisms were correlated to both their evolutionary history and their overall physiology and lifestyles.

Indexed as

Biological TransportComputational BiologyEukaryotic CellsGenomeMembrane Transport ProteinsPhylogenyProkaryotic CellsSubstrate SpecificityMembrane Transport Proteins

Identifiers

PMID16118665
PMCPMC1188273

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.