Evidence map›Paper›PMID 25691256›Full record

ArticleNature communications2015

Epigenomic footprints across 111 reference epigenomes reveal tissue-specific epigenetic regulation of lincRNAs.

Viren Amin, R Alan Harris, Vitor Onuchic, Andrew R Jackson, Tim Charnecki, Sameer Paithankar, Sai Lakshmi Subramanian, Kevin Riehle, Cristian Coarfa, Aleksandar Milosavljevic

Abstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–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

46 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. Article
  7. Article
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  15. Making Biological Sense of Genetic Studies of Age-Related Macular Degeneration.Advances in experimental medicine and biology · 2021
    Article
  16. Article
  17. Review
  18. Long non-coding RNAs in cutaneous biology and keratinocyte carcinomas.Cellular and molecular life sciences : CMLS · 2020
    Review
  19. Article
  20. Long Non-Coding RNAs in Brown Adipose Tissue.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Review
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

10 authors.

Viren AminEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.
R Alan HarrisEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.
Vitor OnuchicEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.
Andrew R JacksonEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.
Tim CharneckiEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.
Sameer PaithankarEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.
Sai Lakshmi SubramanianEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.ORCID 0000000313840722
Kevin RiehleEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.
Cristian CoarfaEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.
Aleksandar MilosavljevicEpigenome Center, Bioinformatics Research Laboratory, Department of Molecular &Human, Genetics, Baylor College of Medicine, One Baylor Plaza, BCMD 400D, Houston, Texas 77030, USA.

Funding

Epigenomics Data Analysis and Coordination Center at Baylor College of MedicineU01DA025956 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI BEAUDET, ARTHUR L., MILOSAVLJEVIC, ALEKSANDAR · 2008 to 2013
$8.9M
NIDA NIH HHS U01 DA025956
6 · The paper itself

Abstract

Tissue-specific expression of lincRNAs suggests developmental and cell-type-specific functions, yet tissue specificity was established for only a small fraction of lincRNAs. Here, by analysing 111 reference epigenomes from the NIH Roadmap Epigenomics project, we determine tissue-specific epigenetic regulation for 3,753 (69% examined) lincRNAs, with 54% active in one of the 14 cell/tissue clusters and an additional 15% in two or three clusters. A larger fraction of lincRNA TSSs is marked in a tissue-specific manner by H3K4me1 than by H3K4me3. The tissue-specific lincRNAs are strongly linked to tissue-specific pathways and undergo distinct chromatin state transitions during cellular differentiation. Polycomb-regulated lincRNAs reside in the bivalent state in embryonic stem cells and many of them undergo H3K27me3-mediated silencing at early stages of differentiation. The exquisitely tissue-specific epigenetic regulation of lincRNAs and the assignment of a majority of them to specific tissue types will inform future studies of this newly discovered class of genes.

Indexed as

Cell DifferentiationEpigenesis, GeneticEpigenomicsRegulatory Elements, TranscriptionalEmbryonic Stem CellsHumansOrgan SpecificityPhenotypePolycomb-Group ProteinsRNA, Long NoncodingPolycomb-Group ProteinsRNA, Long Noncoding

Identifiers

PMID25691256
PMCPMC4335353

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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.