Evidence map›Paper›PMID 18660513›Full record

ArticleNucleic acids research2008

Cataloging and organizing p73 interactions in cell cycle arrest and apoptosis.

Melda Tozluoğlu, Ezgi Karaca, Turkan Haliloglu, Ruth Nussinov

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Association betweenThe Journal of international medical research · 2022
    Pooled it
  2. Bioscience reports · 2018
    Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. The Role of the p53 Protein in Stem-Cell Biology and Epigenetic Regulation.Cold Spring Harbor perspectives in medicine · 2016
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. The origins and evolution of the p53 family of genes.Cold Spring Harbor perspectives in biology · 2010
    Review
  19. Mechanisms of transcription factor selectivity.Trends in genetics : TIG · 2010
    Review
  20. 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

4 authors at 1 institution in 1 country.

Melda TozluoğluPolymer Research Center and Chemical Engineering Department, Bogazici University, Bebek-Istanbul 80815, Turkey.
Ezgi Karaca
Turkan Haliloglu
Ruth Nussinov
Boğaziçi University · TR

Funding

Biomolecular Recognition and Binding MechanismsZIABC010441 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$9.4M
Intramural NIH HHSNCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400
6 · The paper itself

Abstract

We have compiled the p73-mediated cell cycle arrest and apoptosis pathways. p73 is a member of the p53 family, consisting of p53, p63 and p73. p73 exists in several isoforms, presenting different domain structures. p73 functions not only as a tumor suppressor in apoptosis but also as differentiator in embryo development. p53 mutations are responsible for half of the human cancers; p73 can partially substitute mutant p53 as tumor suppressor. The pathways we assembled create a p73-centered network consisting of 53 proteins and 176 interactions. We clustered our network into five functional categories: Upregulation, Activation, Suppression, Transcriptional Activity and Degradation. Our literature searches led to discovering proteins (c-Jun and pRb) with apparent opposing functional effects; these indicate either currently missing proteins and interactions or experimental misidentification or functional annotation. For convenience, here we present the p73 network using the molecular interaction map (MIM) notation. The p73 MIM is unique amongst MIMs, since it further implements detailed domain features. We highlight shared pathways between p53 and p73. We expect that the compiled and organized network would be useful to p53 family-based studies.

Indexed as

ApoptosisCell CycleGene Regulatory NetworksCluster AnalysisDatabases, ProteinDNA-Binding ProteinsNuclear ProteinsProtein Interaction MappingProtein Structure, TertiaryTranscriptional ActivationTumor Protein p73Tumor Suppressor Protein p53Tumor Suppressor ProteinsUp-RegulationDNA-Binding ProteinsNuclear ProteinsTP73 protein, humanTumor Protein p73Tumor Suppressor Protein p53Tumor Suppressor Proteins

Identifiers

PMID18660513
PMCPMC2528188
OpenAlexW1980899597

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.