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Resetting the epigenome for heart regeneration.

Overview of attention for article published in Seminars in Cell & Developmental Biology, January 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Resetting the epigenome for heart regeneration.
Published in
Seminars in Cell & Developmental Biology, January 2016
DOI 10.1016/j.semcdb.2015.12.021
Pubmed ID
Authors

Gregory A. Quaife-Ryan, Choon Boon Sim, Enzo R. Porrello, James E. Hudson

Abstract

In contrast to adults, recent evidence suggests that neonatal mice are able to regenerate following cardiac injury. This regenerative capacity is reliant on robust induction of cardiomyocyte proliferation, which is required for faithful regeneration of the heart following injury. However, cardiac regenerative potential is lost as cardiomyocytes mature and permanently withdraw from the cell cycle shortly after birth. Recently, a handful of factors responsible for the regenerative disparity between the adult and neonatal heart have been identified, but the proliferative response of adult cardiomyoctes following modulation of these factors rarely reaches neonatal levels. The inefficient re-induction of proliferation in adult cardiomyocytes may be due to the epigenetic landscape, which drastically changes during cardiac development and maturation. In this review, we provide an overview of the role of epigenetic modifiers in developmental processes related to cardiac regeneration. We propose an epigentic framework for heart regeneration whereby adult cardiomyocyte identity requires resetting to a neonatal-like state to facilitate cell cycle re-entry and regeneration following cardiac injury. BMP, bone morphogenetic protein; Bvht, Braveheart; CBP, CREB-binding protein; Cdkn, cyclin dependent kinase inhibitor; DOT1L, disruptor of telomeric silencing-1; DNMTs, DNA methyltransferases; eRNAs, enhancer RNAs; ESCs, embryonic stem cells; FGF, fibroblast growth factor; FOX, Forkhead box; Gcn5, general control of amino acid synthesis protein 5; HATs, histone acetyl transferases; HDACs, histone deacteylases; H3K27, histone 3, lysine 27; HMTs, histone methyltransferases; Jmj, Jumonji; JMJD3, Jumonji domain-containing protein 3; KDMs, histone lysine demethylases; lncRNAs, long non-coding RNAs; Mhrt, Myheart; miRNAs, microRNAs; Myh, myosin heavy chain; PRC2, polycomb repressive complex 2; PSCs, pluripotent stem cells; PTM, post-translational modification; SIRTs, Sirtuins; SMYD1, SET and MYND domain containing 1; Srf, serum response factor; TET, Ten-eleven translocation; TGF-β, transforming growth factor beta; TFs, transcription factors; UTX, ubiquitously transcribed tetratricopeptide repeat, X chromosome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 26%
Student > Ph. D. Student 12 21%
Student > Master 6 10%
Student > Bachelor 3 5%
Professor > Associate Professor 3 5%
Other 7 12%
Unknown 12 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 41%
Medicine and Dentistry 7 12%
Agricultural and Biological Sciences 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Business, Management and Accounting 1 2%
Other 3 5%
Unknown 16 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 January 2016.
All research outputs
#8,261,140
of 25,371,288 outputs
Outputs from Seminars in Cell & Developmental Biology
#804
of 2,047 outputs
Outputs of similar age
#122,493
of 400,062 outputs
Outputs of similar age from Seminars in Cell & Developmental Biology
#12
of 58 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,047 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,062 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.