Evidence map›Paper›PMID 26078362›Full record

ArticleJournal of molecular cell biology2015

MBRidge: an accurate and cost-effective method for profiling DNA methylome at single-base resolution.

Wanshi Cai, Fengbiao Mao, Huajing Teng, Tao Cai, Fangqing Zhao, Jinyu Wu, Zhong Sheng Sun

Open access · bronzeAbstract read
In one paragraph

Article in Journal of molecular cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 6 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

7 authors at 5 institutions in 2 countries.

Wanshi CaiBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China University of Chinese Academy of Sciences, Beijing 100049, China.
Fengbiao MaoBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China University of Chinese Academy of Sciences, Beijing 100049, China.
Huajing TengBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Tao CaiExperimental Medicine Section, NIDCR, National Institutes of Health, Bethesda, MD 20892, USA.
Fangqing ZhaoBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China.
Jinyu WuBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou 325035, China sunzs@mail.biols.ac.cn iamwujy@gmail.com.
Zhong Sheng SunBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou 325035, China sunzs@mail.biols.ac.cn iamwujy@gmail.com.
Chinese Academy of Sciences · CNInstitute of Zoology · CNNational Institute of Dental and Craniofacial Research · USUniversity of Chinese Academy of Sciences · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organisms and cells, in response to environmental influences or during development, undergo considerable changes in DNA methylation on a genome-wide scale, which are linked to a variety of biological processes. Using MethylC-seq to decipher DNA methylome at single-base resolution is prohibitively costly. In this study, we develop a novel approach, named MBRidge, to detect the methylation levels of repertoire CpGs, by innovatively introducing C-hydroxylmethylated adapters and bisulfate treatment into the MeDIP-seq protocol and employing ridge regression in data analysis. A systematic evaluation of DNA methylome in a human ovarian cell line T29 showed that MBRidge achieved high correlation (R > 0.90) with much less cost (∼10%) in comparison with MethylC-seq. We further applied MBRidge to profiling DNA methylome in T29H, an oncogenic counterpart of T29's. By comparing methylomes of T29H and T29, we identified 131790 differential methylation regions (DMRs), which are mainly enriched in carcinogenesis-related pathways. These are substantially different from 7567 DMRs that were obtained by RRBS and related with cell development or differentiation. The integrated analysis of DMRs in the promoter and expression of DMR-corresponding genes revealed that DNA methylation enforced reverse regulation of gene expression, depending on the distance from the proximal DMR to transcription starting sites in both mRNA and lncRNA. Taken together, our results demonstrate that MBRidge is an efficient and cost-effective method that can be widely applied to profiling DNA methylomes.

Indexed as

SoftwareBase SequenceCalibrationCell Line, TumorCost-Benefit AnalysisDNA MethylationFemaleGene Expression Regulation, NeoplasticHumansModels, BiologicalOvarian NeoplasmsRegression AnalysisReproducibility of ResultsSequence Analysis, DNADNA methylomeMB-seqridge regressionsingle-base resolution

Identifiers

PMID26078362
PMCPMC4542811
OpenAlexW1951286816

What OpenQuestion holds

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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.