Evidence map›Paper›PMID 18782449›Full record

ArticleBMC evolutionary biology2008

Metabolic innovations towards the human lineage.

Shiri Freilich, Leon Goldovsky, Christos A Ouzounis, Janet M Thornton

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2008. 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
1.5field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Origins of specificity and promiscuity in metabolic networks.The Journal of biological chemistry · 2011
    Article
  4. Article
  5. Article
  6. Cholesterol, the central lipid of mammalian cells.Current opinion in cell biology · 2010
    Review
  7. Article
  8. 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

4 authors at 4 institutions in 3 countries.

Shiri FreilichThe European Bioinformatics Institute, EMBL Cambridge Outstation, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK. shirifre@post.tau.ac.il
Leon Goldovsky
Christos A Ouzounis
Janet M Thornton
Agrobiotechnology Institute · ESCentre for Research and Technology Hellas · GREuropean Bioinformatics Institute · GBWellcome Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe describe a function-driven approach to the analysis of metabolism which takes into account the phylogenetic origin of biochemical reactions to reveal subtle lineage-specific metabolic innovations, undetectable by more traditional methods based on sequence comparison. The origins of reactions and thus entire pathways are inferred using a simple taxonomic classification scheme that describes the evolutionary course of events towards the lineage of interest. We investigate the evolutionary history of the human metabolic network extracted from a metabolic database, construct a network of interconnected pathways and classify this network according to the taxonomic categories representing eukaryotes, metazoa and vertebrates.

resultsIt is demonstrated that lineage-specific innovations correspond to reactions and pathways associated with key phenotypic changes during evolution, such as the emergence of cellular organelles in eukaryotes, cell adhesion cascades in metazoa and the biosynthesis of complex cell-specific biomolecules in vertebrates.

conclusionThis phylogenetic view of metabolic networks puts gene innovations within an evolutionary context, demonstrating how the emergence of a phenotype in a lineage provides a platform for the development of specialized traits.

Indexed as

Evolution, MolecularMetabolic Networks and PathwaysModels, GeneticPhylogenyCholesterolComputational BiologyDatabases, GeneticGlycosphingolipidsGlycosylationHumansCholesterolGlycosphingolipids

Identifiers

PMID18782449
PMCPMC2553087
OpenAlexW2136345656

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.