Evidence map›Paper›PMID 11146555›Full record

ArticleOncogene2000

Functional interaction between p53 and the interferon-inducible nucleoprotein IFI 16.

R W Johnstone, W Wei, A Greenway, J A Trapani

Abstract read
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In one paragraph

Article in Oncogene, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

47 citing papers in PubMed, 115 citations in OpenAlex.

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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 2 institutions in 1 country.

R W JohnstoneThe Peter MacCallum Cancer Institute, Cancer Immunology Division, East Melbourne, Victoria, Australia.
W Wei
A Greenway
J A Trapani
Peter MacCallum Cancer Centre · AUFairfield Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interferons are important in regulating cell growth and differentiation, immune function and initiating anti-viral responses. While the pleotrophic actions of interferons have been well documented, the molecular mechanisms underpinning their biological effects have not been fully characterized. IFI 16 is a member of the interferon-inducible HIN-200 family of nuclear proteins, which we have recently shown can function as a potent transcriptional repressor. A murine member of the HIN-200 family, p202, can indirectly interact with p53 via the p53 binding protein (p53bp) and inhibit p53-mediated transcriptional activation. The binding activity of p202 to p53bp was shown to require the conserved MFHATVAT motif present in all 200 amino acid repeat regions of HIN-200 proteins. Given that IFI 16 contains two MFHATVAT motifs, we sought to determine whether IFI 16 may form a complex with p53 and if so to ascertain the functional significance of this interaction. We demonstrate that IFI 16 can directly bind to the C-terminal region of p53 and augment p53-mediated transcriptional activation without altering the steady state levels of p53. Thus, in addition to its ability to directly regulate gene expression, IFI 16 can also modulate the transcription function of other cellular transcription factors. These findings demonstrate a possible link between gene induction following interferon stimulation and p53-mediated cellular events.

Indexed as

PhosphoproteinsAmino Acid MotifsBinding SitesCell LineCell NucleusDNAFluorescent Antibody TechniqueGenes, ReporterHumansInterferonsNuclear ProteinsPrecipitin TestsProtein BindingProteinsRecombinant Fusion ProteinsSequence DeletionDNAIFI16 protein, humanInterferonsNuclear ProteinsPhosphoproteinsProteinsRecombinant Fusion ProteinsTumor Suppressor Protein p53

Identifiers

PMID11146555
OpenAlexW1987448837

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.