Evidence map›Paper›PMID 27379160›Full record

ArticleFrontiers in genetics2016

Comparative Epigenomic Profiling of the DNA Methylome in Mouse and Zebrafish Uncovers High Interspecies Divergence.

Chi Zhang, Yujin Hoshida, Kirsten C Sadler

Abstract read
In one paragraph

Article in Frontiers in genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Generating Sequencing-Based DNA Methylation Maps from Low DNA Input Samples.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Frontiers in immunology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The Role of Epigenomics in Aquatic Toxicology.Environmental toxicology and chemistry · 2017
    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

3 authors.

Chi ZhangDepartment of Medicine/Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New YorkNY, USA; Department of Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New YorkNY, USA; Liver Cancer Program/Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New YorkNY, USA.
Yujin HoshidaDepartment of Medicine/Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New YorkNY, USA; Liver Cancer Program/Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New YorkNY, USA.
Kirsten C SadlerDepartment of Medicine/Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New YorkNY, USA; Department of Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New YorkNY, USA; Liver Cancer Program/Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New YorkNY, USA; Program in Biology, New York University Abu DhabiAbu Dhabi, UAE.

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Deanna L Benson · 2015 to 2026
$35.4M
Role of Uhrf1 in Liver Development, Regeneration and CarciogenesisR01DK080789 · NIDDK · NEW YORK UNIVERSITY · PI Kirsten C Sadler Edepli · 2009 to 2026
$5.2M
Molecular Prognostic Indicators in Liver Cirrhosis and CancerR01DK099558 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOSHIDA, YUJIN · 2013 to 2016
$2.6M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
NCI NIH HHS P30 CA196521NIDDK NIH HHS R01 DK080789NIDDK NIH HHS R01 DK099558NIH HHS S10 OD018522
6 · The paper itself

Abstract

The DNA methylation landscape is dynamically patterned during development and distinct methylation patterns distinguish healthy from diseased cells. However, whether tissue-specific methylation patterns are conserved across species is not known. We used comparative methylome analysis of base-resolution DNA methylation profiles from the liver and brain of mouse and zebrafish generated by reduced representation bisulfite sequencing to identify the conserved and divergent aspects of the methylome in these commonly used vertebrate model organisms. On average, 24% of CpGs are methylated in mouse livers and the pattern of methylation was highly concordant among four male mice from two different strains. The same level of methylation (24.2%) was identified in mouse brain. In striking contrast, zebrafish had 63 and 70% of CpG methylation in the liver and brain, respectively. This is attributed, in part, to the higher percentage of the zebrafish genome occupied by transposable elements (52% vs. 45% in mice). Thus, the species identity was more significant in determining methylome patterning than was the similarity in organ function. Conserved features of the methylome across tissues and species was the exclusion of methylation from promoters and from CpG islands near transcription start sites, and the clustering of methylated CpGs in gene bodies and intragenic regions. These data suggest that DNA methylation reflects species-specific genome structure, and supports the notion that DNA methylation in non-promoter regions may contribute to genome evolution.

Indexed as

braincomparative epigenomicsDNA methylationlivermousezebrafish

Identifiers

PMID27379160
PMCPMC4911366

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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.