Evidence map›Paper›PMID 29263807›Full record

ArticleNPJ genomic medicine2016

Genome-wide methylation analysis identifies genes silenced in non-seminoma cell lines.

Dzul Azri Mohamed Noor, Jennie N Jeyapalan, Safiah Alhazmi, Matthew Carr, Benjamin Squibb, Claire Wallace, Christopher Tan, Martin Cusack, Jaime Hughes, Tom Reader and 3 more

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In one paragraph

Article in NPJ genomic medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 11 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.

Dzul Azri Mohamed NoorSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Jennie N JeyapalanSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Safiah AlhazmiSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Matthew CarrSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Benjamin SquibbSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Claire WallaceSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Christopher TanSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Martin CusackSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Jaime HughesSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Tom ReaderSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Janet ShipleyDivisions of Molecular Pathology and Cancer Therapeutics, The Institute of Cancer Research, London, UK.
Denise SheerThe Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK.
Paul J ScottingSchool of Life Sciences, University of Nottingham, Nottingham, UK.
University of Nottingham · GBInstitute of Cancer Research · GBQueen Mary University of London · GBUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silencing of genes by DNA methylation is a common phenomenon in many types of cancer. However, the genome-wide effect of DNA methylation on gene expression has been analysed in relatively few cancers. Germ cell tumours (GCTs) are a complex group of malignancies. They are unique in developing from a pluripotent progenitor cell. Previous analyses have suggested that non-seminomas exhibit much higher levels of DNA methylation than seminomas. The genomic targets that are methylated, the extent to which this results in gene silencing and the identity of the silenced genes most likely to play a role in the tumours' biology have not yet been established. In this study, genome-wide methylation and expression analysis of GCT cell lines was combined with gene expression data from primary tumours to address this question. Genome methylation was analysed using the Illumina infinium HumanMethylome450 bead chip system and gene expression was analysed using Affymetrix GeneChip Human Genome U133 Plus 2.0 arrays. Regulation by methylation was confirmed by demethylation using 5-aza-2-deoxycytidine and reverse transcription-quantitative PCR. Large differences in the level of methylation of the CpG islands of individual genes between tumour cell lines correlated well with differential gene expression. Treatment of non-seminoma cells with 5-aza-2-deoxycytidine verified that methylation of all genes tested played a role in their silencing in yolk sac tumour cells and many of these genes were also differentially expressed in primary tumours. Genes silenced by methylation in the various GCT cell lines were identified. Several pluripotency-associated genes were identified as a major functional group of silenced genes.

Identifiers

PMID29263807
PMCPMC5685295
OpenAlexW2236154090

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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.