Evidence map›Paper›PMID 27812278›Full record

ArticleCancer informatics2016

Cluster Analysis of p53 Binding Site Sequences Reveals Subsets with Different Functions.

Ji-Hyun Lim, Natasha S Latysheva, Richard D Iggo, Daniel Barker

Abstract read
In one paragraph

Article in Cancer informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Mechanistic roles of mutant p53 governing lipid metabolism.Advances in biological regulation · 2022
    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.

Ji-Hyun LimSchool of Biology, University of St Andrews, St Andrews, UK.; School of Medicine, University of St Andrews, St Andrews, UK.; Current address: Alacris Theranostics GmbH, Berlin, Germany.
Natasha S LatyshevaSchool of Biology, University of St Andrews, St Andrews, UK.; Current address: MRC Laboratory of Molecular Biology, Cambridge, UK.
Richard D IggoSchool of Medicine, University of St Andrews, St Andrews, UK.; INSERM Unit U1218, University of Bordeaux, Institut Bergonie, Bordeaux, France.
Daniel BarkerSchool of Biology, University of St Andrews, St Andrews, UK.; Current address: Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

p53 is an important regulator of cell cycle arrest, senescence, apoptosis and metabolism, and is frequently mutated in tumors. It functions as a tetramer, where each component dimer binds to a decameric DNA region known as a response element. We identify p53 binding site subtypes and examine the functional and evolutionary properties of these subtypes. We start with over 1700 known binding sites and, with no prior labeling, identify two sets of response elements by unsupervised clustering. When combined, they give rise to three types of p53 binding sites. We find that probabilistic and alignment-based assessments of cross-species conservation show no strong evidence of differential conservation between types of binding sites. In contrast, functional analysis of the genes most proximal to the binding sites provides strong bioinformatic evidence of functional differentiation between the three types of binding sites. Our results are consistent with recent structural data identifying two conformations of the L1 loop in the DNA binding domain, suggesting that they reflect biologically meaningful groups imposed by the p53 protein structure.

Indexed as

cluster analysisconservationDNA sequencefunctionhuman genomep53protein–DNA interactiontranscription factor

Identifiers

PMID27812278
PMCPMC5081245

What OpenQuestion holds

Textmetadata
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Registered trials

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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.