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Temporally distinct transcriptional regulation of myocyte dedifferentiation and Myofiber growth during muscle regeneration

Overview of attention for article published in BMC Genomics, November 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Temporally distinct transcriptional regulation of myocyte dedifferentiation and Myofiber growth during muscle regeneration
Published in
BMC Genomics, November 2017
DOI 10.1186/s12864-017-4236-y
Pubmed ID
Authors

Ke’ale W. Louie, Alfonso Saera-Vila, Phillip E. Kish, Justin A. Colacino, Alon Kahana

Abstract

Tissue regeneration requires a series of steps, beginning with generation of the necessary cell mass, followed by cell migration into damaged area, and ending with differentiation and integration with surrounding tissues. Temporal regulation of these steps lies at the heart of the regenerative process, yet its basis is not well understood. The ability of zebrafish to dedifferentiate mature "post-mitotic" myocytes into proliferating myoblasts that in turn regenerate lost muscle tissue provides an opportunity to probe the molecular mechanisms of regeneration. Following subtotal excision of adult zebrafish lateral rectus muscle, dedifferentiating residual myocytes were collected at two time points prior to cell cycle reentry and compared to uninjured muscles using RNA-seq. Functional annotation (GAGE or K-means clustering followed by GO enrichment) revealed a coordinated response encompassing epigenetic regulation of transcription, RNA processing, and DNA replication and repair, along with protein degradation and translation that would rewire the cellular proteome and metabolome. Selected candidate genes were phenotypically validated in vivo by morpholino knockdown. Rapidly induced gene products, such as the Polycomb group factors Ezh2 and Suz12a, were necessary for both efficient dedifferentiation (i.e. cell reprogramming leading to cell cycle reentry) and complete anatomic regeneration. In contrast, the late activated gene fibronectin was important for efficient anatomic muscle regeneration but not for the early step of myocyte cell cycle reentry. Reprogramming of a "post-mitotic" myocyte into a dedifferentiated myoblast requires a complex coordinated effort that reshapes the cellular proteome and rewires metabolic pathways mediated by heritable yet nuanced epigenetic alterations and molecular switches, including transcription factors and non-coding RNAs. Our studies show that temporal regulation of gene expression is programmatically linked to distinct steps in the regeneration process, with immediate early expression driving dedifferentiation and reprogramming, and later expression facilitating anatomical regeneration.

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X Demographics

The data shown below were collected from the profiles of 7 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 6 16%
Professor > Associate Professor 4 11%
Student > Bachelor 3 8%
Professor 2 5%
Other 4 11%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 34%
Agricultural and Biological Sciences 5 13%
Medicine and Dentistry 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Physics and Astronomy 1 3%
Other 3 8%
Unknown 11 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 June 2018.
All research outputs
#6,262,937
of 23,306,612 outputs
Outputs from BMC Genomics
#2,633
of 10,741 outputs
Outputs of similar age
#102,478
of 332,020 outputs
Outputs of similar age from BMC Genomics
#49
of 198 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,741 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 332,020 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 198 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.