Evidence map›Paper›PMID 25666347›Full record

ArticleMolecules and cells2015

Genome-wide analysis of DNA methylation before-and after exercise in the thoroughbred horse with MeDIP-Seq.

Jeong-An Gim, Chang Pyo Hong, Dae-Soo Kim, Jae-Woo Moon, Yuri Choi, Jungwoo Eo, Yun-Jeong Kwon, Ja-Rang Lee, Yi-Deun Jung, Jin-Han Bae and 16 more

Open access · diamondAbstract read
In one paragraph

Article in Molecules and cells, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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  11. Parental bias in expression and interaction of genes in the equine placenta.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

26 authors at 4 institutions in 1 country.

Jeong-An GimDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea.
Chang Pyo HongTBI, Theragen BiO Institute, TheragenEtex, Suwon 443-270, Korea.
Dae-Soo KimGenome Resource Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 305-806, Korea.
Jae-Woo MoonTBI, Theragen BiO Institute, TheragenEtex, Suwon 443-270, Korea.
Yuri ChoiDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea.
Jungwoo EoDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea.
Yun-Jeong KwonDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea.
Ja-Rang LeeDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea.
Yi-Deun JungDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea.
Jin-Han BaeDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea.
Bong-Hwan ChoiDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Korea.
Junsu KoTBI, Theragen BiO Institute, TheragenEtex, Suwon 443-270, Korea.
Sanghoon SongTBI, Theragen BiO Institute, TheragenEtex, Suwon 443-270, Korea.
Kung AhnTBI, Theragen BiO Institute, TheragenEtex, Suwon 443-270, Korea.
Hong-Seok HaDepartment of Genetics, Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA.
Young Mok YangDepartment of Pathology, School of Medicine, and Institute of Biomedical Science and Technology, Konkuk University, Seoul 143-701, Korea.
Hak-Kyo LeeDepartment of Biotechnology, Hankyong National University, Anseong 456-749, Korea.
Kyung-Do ParkDepartment of Biotechnology, Hankyong National University, Anseong 456-749, Korea.
Kyoung-Tag DoDepartment of Equine Sciences, Sorabol College, Gyeongju 780-711, Korea.
Kyudong HanDepartment of Nanobiomedical Science and WCU Research Center, Dankook University, Cheonan 330-714, Korea.
Joo Mi YiResearch Center, Dongnam Institute of Radiological and Medical Science (DIRAMS), Busan 619-953, Korea.
Hee-Jae ChaDepartments of Parasitology and Genetics, Kosin University College of Medicine, Busan 602-702, Korea.
Selvam AyarpadikannanDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea.
Byung-Wook ChoDepartment of Animal Science, College of Life Sciences, Pusan National University, Miryang 627-702, Korea.
Jong BhakTBI, Theragen BiO Institute, TheragenEtex, Suwon 443-270, Korea.
Heui-Soo KimDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea.
Pusan National University · KRKonkuk University · KRKorea Research Institute of Bioscience and Biotechnology · KRKosin University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Athletic performance is an important criteria used for the selection of superior horses. However, little is known about exercise-related epigenetic processes in the horse. DNA methylation is a key mechanism for regulating gene expression in response to environmental changes. We carried out comparative genomic analysis of genome-wide DNA methylation profiles in the blood samples of two different thoroughbred horses before and after exercise by methylated-DNA immunoprecipitation sequencing (MeDIP-Seq). Differentially methylated regions (DMRs) in the pre-and post-exercise blood samples of superior and inferior horses were identified. Exercise altered the methylation patterns. After 30 min of exercise, 596 genes were hypomethylated and 715 genes were hypermethylated in the superior horse, whereas in the inferior horse, 868 genes were hypomethylated and 794 genes were hypermethylated. These genes were analyzed based on gene ontology (GO) annotations and the exercise-related pathway patterns in the two horses were compared. After exercise, gene regions related to cell division and adhesion were hypermethylated in the superior horse, whereas regions related to cell signaling and transport were hypermethylated in the inferior horse. Analysis of the distribution of methylated CpG islands confirmed the hypomethylation in the gene-body methylation regions after exercise. The methylation patterns of transposable elements also changed after exercise. Long interspersed nuclear elements (LINEs) showed abundance of DMRs. Collectively, our results serve as a basis to study exercise-based reprogramming of epigenetic traits.

Indexed as

AnimalsBase SequenceDNADNA MethylationEpigenomicsFemaleGene OntologyHorsesMaleMotor ActivityPhysical ExertionSequence Analysis, DNASex CharacteristicsDNADNA methylationexerciseMeDIP-Seqthoroughbred horsetransposable elements

Identifiers

PMID25666347
PMCPMC4363720
OpenAlexW2028628069

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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.