Evidence map›Paper›PMID 28558959›Full record

ArticleEBioMedicine2017

The Transcriptional Landscape of p53 Signalling Pathway.

Chizu Tanikawa, Yao-Zhong Zhang, Ryuta Yamamoto, Yusuke Tsuda, Masami Tanaka, Yuki Funauchi, Jinichi Mori, Seiya Imoto, Rui Yamaguchi, Yusuke Nakamura and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EBioMedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

41 citing papers in PubMed, 72 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

13 authors at 4 institutions in 3 countries.

Chizu TanikawaLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Yao-Zhong ZhangLaboratory of DNA information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Ryuta YamamotoLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Yusuke TsudaLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Masami TanakaLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Yuki FunauchiLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Jinichi MoriLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan; Laboratory of Clinical Genome Sequence, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan.
Seiya ImotoLaboratory of DNA information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Rui YamaguchiLaboratory of DNA information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Yusuke NakamuraDepartment of Medicine, Center for Personalized Therapeutics, The University of Chicago, USA; Department of Surgery, Center for Personalized Therapeutics, The University of Chicago, USA.
Satoru MiyanoLaboratory of DNA information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Hidewaki NakagawaLaboratory for Genome Sequencing Analysis, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan.
Koichi MatsudaLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan; Laboratory of Clinical Genome Sequence, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan. Electronic address: kmatsuda@k.u-tokyo.ac.jp.
Tokyo University of Science · JPThe University of Tokyo · JPRIKEN Center for Integrative Medical Sciences · JPUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although recent cancer genomics studies have identified a large number of genes that were mutated in human cancers, p53 remains as the most frequently mutated gene. To further elucidate the p53-signalling network, we performed transcriptome analysis on 24 tissues in p53

Indexed as

Gene Expression RegulationSignal TransductionTranscription, GeneticAnimalsCell Transformation, NeoplasticComputational BiologyDNA DamageGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMiceMice, KnockoutRNA SplicingTranscriptomeTumor Suppressor Protein p53Tumor Suppressor Protein p53Keratinizationp53RadiationTranscriptome

Identifiers

PMID28558959
PMCPMC5478243
OpenAlexW2616105939

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.