Evidence map›Paper›PMID 29669513›Full record

ArticleBMC genomics2018

Successful application of human-based methyl capture sequencing for methylome analysis in non-human primate models.

Ja-Rang Lee, Dong-Sung Ryu, Sang-Je Park, Se-Hee Choe, Hyeon-Mu Cho, Sang-Rae Lee, Sun-Uk Kim, Young-Hyun Kim, Jae-Won Huh

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. 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
0.7field-weighted citation impact, top 30% 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

9 authors at 2 institutions in 1 country.

Ja-Rang LeePrimate Resource Center, Korea Research Institute of Bioscience and Biotechnology, Jeongeup, 56216, Republic of Korea.
Dong-Sung RyuTheragen Etex Bio Institute, Suwon, Republic of Korea.
Sang-Je ParkNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, 28116, Republic of Korea.
Se-Hee ChoeNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, 28116, Republic of Korea.
Hyeon-Mu ChoNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, 28116, Republic of Korea.
Sang-Rae LeeNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, 28116, Republic of Korea.
Sun-Uk KimFuturistic Animal Resource and Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, 28116, Republic of Korea.
Young-Hyun KimNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, 28116, Republic of Korea. kyh@kribb.re.kr.
Jae-Won HuhNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, 28116, Republic of Korea. huhjw@kribb.re.kr.ORCID http://orcid.org/0000-0001-5845-939X
Korea Research Institute of Bioscience and Biotechnology · KRTheragen · KR

Funding

Korea Research Institute of Bioscience and Biotechnology KGM4241743Korea Research Institute of Bioscience and Biotechnology KGM4611714National Research Foundation of Korea NRF-2014M3A9B6070243
6 · The paper itself

Abstract

backgroundThe characterization of genomic or epigenomic variation in human and animal models could provide important insight into pathophysiological mechanisms of various diseases, and lead to new developments in disease diagnosis and clinical intervention. The African green monkey (AGM; Chlorocebus aethiops) and cynomolgus monkey (CM; Macaca fascicularis) have long been considered important animal models in biomedical research. However, non-human primate-specific methods applicable to epigenomic analyses in AGM and CM are lacking. The recent development of methyl-capture sequencing (MC-seq) has an unprecedented advantage of cost-effectiveness, and further allows for extending the methylome coverage compared to conventional sequencing approaches.

resultsHere, we used a human probe-designed MC-seq method to assay DNA methylation in DNA obtained from 13 CM and three AGM blood samples. To effectively adapt the human probe-designed target region for methylome analysis in non-human primates, we redefined the target regions, focusing on regulatory regions and intragenic regions with consideration of interspecific sequence homology and promoter region variation. Methyl-capture efficiency was controlled by the sequence identity between the captured probes based on the human reference genome and the AGM and CM genome sequences, respectively. Using reasonable guidelines, 56 and 62% of the human-based capture probes could be effectively mapped for DNA methylome profiling in the AGM and CM genome, respectively, according to numeric global statistics. In particular, our method could cover up to 89 and 87% of the regulatory regions of the AGM and CM genome, respectively.

conclusionsUse of human-based MC-seq methods provides an attractive, cost-effective approach for the methylome profiling of non-human primates at the single-base resolution level.

Indexed as

Chlorocebus aethiopsDNA MethylationMacaca fascicularisAnimalsEpigenomicsGenome, HumanHigh-Throughput Nucleotide SequencingHumansPromoter Regions, GeneticSequence Analysis, DNASequence Homology, Nucleic AcidAfrican green monkeyAnimal modelCynomolgus monkeyDNA methylationMethyl-capture sequencing

Identifiers

PMID29669513
PMCPMC5907189
OpenAlexW2803363240

What OpenQuestion holds

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LicenceCC BY
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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.