Evidence map›Paper›PMID 29344347›Full record

ArticleCell & bioscience2018

Epigenetic alterations in TRAMP mice: epigenome DNA methylation profiling using MeDIP-seq.

Wenji Li, Ying Huang, Davit Sargsyan, Tin Oo Khor, Yue Guo, Limin Shu, Anne Yuqing Yang, Chengyue Zhang, Ximena Paredes-Gonzalez, Michael Verzi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell & bioscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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  2. Review
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  7. Cancer-associated methylated lncRNAs in patients with bladder cancer.American journal of translational research · 2019
    Article
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

12 authors at 1 institution in 1 country.

Wenji Li *1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Ying Huang *1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Davit Sargsyan1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Tin Oo Khor1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Yue Guo1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Limin Shu1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Anne Yuqing Yang1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Chengyue Zhang1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Ximena Paredes-Gonzalez1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Michael Verzi4Department of Genetics, The State University of New Jersey, Piscataway, NJ 08854 USA.
Ronald P Hart5Department of Cell Biology and Neuroscience, Rutgers, The State University of New Jersey, Piscataway, NJ 08854 USA.
Ah-Ng Kong1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
Rutgers, The State University of New Jersey · US

Funding

Epigenetic mechanisms of indole-3-carbinol/diindolylemthane and triterpenoids in prevention of prostate inflammation and related diseaseR01AT009152 · NCCIH · RUTGERS, THE STATE UNIV OF N.J. · PI KONG, AH-NG TONY · 2015 to 2019
$3.3M
NCCIH NIH HHS R01 AT009152
6 · The paper itself

Abstract

purposeWe investigated the genomic DNA methylation profile of prostate cancer in transgenic adenocarcinoma of the mouse prostate (TRAMP) cancer model and to analyze the crosstalk among targeted genes and the related functional pathways.

methodsProstate DNA samples from 24-week-old TRAMP and C57BL/6 male mice were isolated. The DNA methylation profiles were analyzed by methylated DNA immunoprecipitation (MeDIP) followed by next-generation sequencing (MeDIP-seq). Canonical pathways, diseases and function and network analyses of the different samples were then performed using the Ingenuity

resultsTRAMP mice undergo extensive aberrant CpG hyper- and hypo-methylation. There were 2147 genes with a significant (log2-change ≥ 2) change in CpG methylation between the two groups, as mapped by the IPA software. Among these genes, the methylation of 1105 and 1042 genes was significantly decreased and increased, respectively, in TRAMP prostate tumors. The top associated disease identified by IPA was adenocarcinoma; however, the cAMP response element-binding protein (CREB)-, histone deacetylase 2 (HDAC2)-, glutathione S-transferase pi (GSTP1)- and polyubiquitin-C (UBC)-related pathways showed significantly altered methylation profiles based on the canonical pathway and network analyses. MSP and qPCR results of genes of interests corroborated with MeDIP-seq findings.

conclusionsThis is the first MeDIP-seq with IPA analysis of the TRAMP model to provide novel insight into the genome-wide methylation profile of prostate cancer. Studies on epigenetics, such as DNA methylation, will potentially provide novel avenues and strategies for further development of biomarkers targeted for treatment and prevention approaches for prostate cancer.

Indexed as

DNA methylationEpigeneticsMeDIP-seqProstate cancerTRAMP

Identifiers

PMID29344347
PMCPMC5767006
OpenAlexW2782710534

What OpenQuestion holds

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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.