Evidence map›Paper›PMID 15982408›Full record

ArticleJournal of biology2005

Motifs, themes and thematic maps of an integrated Saccharomyces cerevisiae interaction network.

Lan V Zhang, Oliver D King, Sharyl L Wong, Debra S Goldberg, Amy H Y Tong, Guillaume Lesage, Brenda Andrews, Howard Bussey, Charles Boone, Frederick P Roth

Abstract read
In one paragraph

Article in Journal of biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Cycle and flow trusses in directed networks.Royal Society open science · 2016
    Article
  13. A Protein Complex Map of Trypanosoma brucei.PLoS neglected tropical diseases · 2016
    Article
  14. Modeling Gene Networks in Saccharomyces cerevisiae Based on Gene Expression Profiles.Computational and mathematical methods in medicine · 2015
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

9 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

10 authors.

Lan V ZhangDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA. lan_zhang@student.hms.harvard.edu
Oliver D King
Sharyl L Wong
Debra S Goldberg
Amy H Y Tong
Guillaume Lesage
Brenda Andrews
Howard Bussey
Charles Boone
Frederick P Roth

Funding

Predicting gene attributes from patterns of annotations.F32HG002552 · NHGRI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KING, OLIVER D · 2002 to 2003
$85k
NHGRI NIH HHS F32 HG002552
6 · The paper itself

Abstract

backgroundLarge-scale studies have revealed networks of various biological interaction types, such as protein-protein interaction, genetic interaction, transcriptional regulation, sequence homology, and expression correlation. Recurring patterns of interconnection, or 'network motifs', have revealed biological insights for networks containing either one or two types of interaction.

resultsTo study more complex relationships involving multiple biological interaction types, we assembled an integrated Saccharomyces cerevisiae network in which nodes represent genes (or their protein products) and differently colored links represent the aforementioned five biological interaction types. We examined three- and four-node interconnection patterns containing multiple interaction types and found many enriched multi-color network motifs. Furthermore, we showed that most of the motifs form 'network themes' -- classes of higher-order recurring interconnection patterns that encompass multiple occurrences of network motifs. Network themes can be tied to specific biological phenomena and may represent more fundamental network design principles. Examples of network themes include a pair of protein complexes with many inter-complex genetic interactions -- the 'compensatory complexes' theme. Thematic maps -- networks rendered in terms of such themes -- can simplify an otherwise confusing tangle of biological relationships. We show this by mapping the S. cerevisiae network in terms of two specific network themes.

conclusionSignificantly enriched motifs in an integrated S. cerevisiae interaction network are often signatures of network themes, higher-order network structures that correspond to biological phenomena. Representing networks in terms of network themes provides a useful simplification of complex biological relationships.

Indexed as

Gene Expression Regulation, FungalGenomeAmino Acid MotifsFungal ProteinsGenes, FungalModels, BiologicalSaccharomyces cerevisiaeSystems IntegrationFungal Proteins

Identifiers

PMID15982408
PMCPMC1175995

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.