Evidence map›Paper›PMID 27652892›Full record

ArticleG3 (Bethesda, Md.)2016

Extensive Epigenetic Changes Accompany Terminal Differentiation of Mouse Hepatocytes After Birth.

Matthew V Cannon, Genay Pilarowski, Xiuli Liu, David Serre

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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

4 authors at 2 institutions in 1 country.

Matthew V CannonGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Ohio 44195 dserre@som.umaryland.edu matthewvc1@gmail.com.
Genay PilarowskiGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Ohio 44195.
Xiuli LiuDepartment of Anatomic Pathology, Cleveland Clinic, Ohio 44195.
David SerreGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Ohio 44195 dserre@som.umaryland.edu matthewvc1@gmail.com.
Cleveland Clinic Lerner College of Medicine · USCleveland Clinic · US

Funding

Molecular Basis and Consequences of Early Developmental Epigenetic ProgrammingR01DK088824 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI SERRE, DAVID · 2011 to 2015
$1.7M
NIDDK NIH HHS R01 DK088824
6 · The paper itself

Abstract

DNA methylation is traditionally thought to be established during early development and to remain mostly unchanged thereafter in healthy tissues, although recent studies have shown that this epigenetic mark can be more dynamic. Epigenetic changes occur in the liver after birth, but the timing and underlying biological processes leading to DNA methylation changes are not well understood. We hypothesized that this epigenetic reprogramming was the result of terminal differentiation of hepatocyte precursors. Using genomic approaches, we characterized the DNA methylation patterns in mouse liver from E18.5 until adulthood to determine if the timing of the DNA methylation change overlaps with hepatocyte terminal differentiation, and to examine the genomic context of these changes and identify the regulatory elements involved. Out of 271,325 CpGs analyzed throughout the genome, 214,709 CpGs changed DNA methylation by more than 5% (

Indexed as

differentiationDNA methylationepigeneticshepatocytesliver development

Identifiers

PMID27652892
PMCPMC5100869
OpenAlexW2528826297

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.