Evidence map›Paper›PMID 25421844›Full record

ArticleNature communications2014

Regulatory network decoded from epigenomes of surface ectoderm-derived cell types.

Rebecca F Lowdon, Bo Zhang, Misha Bilenky, Thea Mauro, Daofeng Li, Philippe Gascard, Mahvash Sigaroudinia, Peggy J Farnham, Boris C Bastian, Thea D Tlsty and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

15 authors at 5 institutions in 2 countries.

Rebecca F LowdonDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, St Louis, Missouri 63108, USA.
Bo ZhangDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, St Louis, Missouri 63108, USA.
Misha BilenkyCanada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z 1L3.
Thea MauroDepartment of Dermatology, University of California, San Francisco, San Francisco, California 94143, USA.
Daofeng LiDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, St Louis, Missouri 63108, USA.
Philippe GascardDepartment of Pathology, Center for Translational Research in the Molecular Genetics of Cancer, University of California, San Francisco, San Francisco, California 94143, USA.
Mahvash SigaroudiniaDepartment of Pathology, Center for Translational Research in the Molecular Genetics of Cancer, University of California, San Francisco, San Francisco, California 94143, USA.
Peggy J FarnhamDepartment of Biochemistry and Molecular Biology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089, USA.
Boris C BastianDepartment of Dermatology, University of California, San Francisco, San Francisco, California 94143, USA.
Thea D TlstyDepartment of Pathology, Center for Translational Research in the Molecular Genetics of Cancer, University of California, San Francisco, San Francisco, California 94143, USA.
Marco A Marra1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z 1L3 [2] University of British Columbia, Department of Medical Genetics, Vancouver, British Columbia, Canada V6H 3N1.
Martin Hirst1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z 1L3 [2] Centre for High-Throughput Biology, Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4.
Joseph F CostelloDepartment of Neurological Surgery, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California 94143, USA.
Ting WangDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, St Louis, Missouri 63108, USA.
Jeffrey B ChengDepartment of Dermatology, University of California, San Francisco, San Francisco, California 94143, USA.
University of California, San Francisco · USWashington University in St. Louis · USUniversity of British Columbia · CACanada's Michael Smith Genome Sciences Centre · CAUniversity of Southern California · US

Funding

Integrated Epigenetic Maps of Human Embryonic and Adult CellsU01ES017154 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COSTELLO, JOSEPH F, MARRA, MARCO ANTONIO · 2008 to 2012
$11.6M
RESEARCH EDUCATION PROGRAM ON COMPUTATIONAL AND STATISTICAL TOOL DEVELOPMENT FOR ADDICTION GENETICSR25DA027995 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN, RICE, JOHN P. · 2009 to 2019
$4.3M
DECODING THE IMPACT OF TRANSPOSABLE ELEMENTS ON GENE REGULATIONR01HG007175 · NHGRI · WASHINGTON UNIVERSITY · PI WANG, TING · 2014 to 2021
$2.7M
Training At The Interface of Psychology, Neuroscience, and GeneticsT32GM081739 · NIGMS · WASHINGTON UNIVERSITY · PI BARCH, DEANNA · 2007 to 2016
$2.1M
ADVANCED EPI/GENOME BROWSER WITH ENHANCED VISUALIZATION AND ANALYSIS TOOLSR01HG007354 · NHGRI · WASHINGTON UNIVERSITY · PI WANG, TING · 2013 to 2016
$1.5M
Aging Stratum Corneum pH and Barrier FunctionR01AG028492 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MAURO, THEODORA M · 2008 to 2012
$1.5M
CHARTING THE EPIGENOMIC LANDSCAPE OF HUMAN TRANSPOSABLE ELEMENTSR01ES024992 · NIEHS · WASHINGTON UNIVERSITY · PI WANG, TING · 2014 to 2015
$342k
NHGRI NIH HHS R01 HG007175NHGRI NIH HHS R01HG007175NHGRI NIH HHS R01 HG007354NHGRI NIH HHS R01HG007354NIA NIH HHS R01 AG028492NIA NIH HHS R01AG028492NIDA NIH HHS R25 DA027995NIEHS NIH HHS 5U01ES017154NIEHS NIH HHS R01 ES024992NIEHS NIH HHS U01 ES017154NIGMS NIH HHS 5T32GM081739NIGMS NIH HHS T32 GM081739
6 · The paper itself

Abstract

Developmental history shapes the epigenome and biological function of differentiated cells. Epigenomic patterns have been broadly attributed to the three embryonic germ layers. Here we investigate how developmental origin influences epigenomes. We compare key epigenomes of cell types derived from surface ectoderm (SE), including keratinocytes and breast luminal and myoepithelial cells, against neural crest-derived melanocytes and mesoderm-derived dermal fibroblasts, to identify SE differentially methylated regions (SE-DMRs). DNA methylomes of neonatal keratinocytes share many more DMRs with adult breast luminal and myoepithelial cells than with melanocytes and fibroblasts from the same neonatal skin. This suggests that SE origin contributes to DNA methylation patterning, while shared skin tissue environment has limited effect on epidermal keratinocytes. Hypomethylated SE-DMRs are in proximity to genes with SE relevant functions. They are also enriched for enhancer- and promoter-associated histone modifications in SE-derived cells, and for binding motifs of transcription factors important in keratinocyte and mammary gland biology. Thus, epigenomic analysis of cell types with common developmental origin reveals an epigenetic signature that underlies a shared gene regulatory network.

Indexed as

Epigenesis, GeneticGene Regulatory NetworksCell DifferentiationCells, CulturedDNA MethylationEctodermFibroblastsHumansKeratinocytesMelanocytesPromoter Regions, GeneticSpecies Specificity

Identifiers

PMID25421844
PMCPMC4385735
OpenAlexW2157941179

What OpenQuestion holds

Textmetadata
LicenceTDM
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.