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Transgenic systems for unequivocal identification of cardiac myocyte nuclei and analysis of cardiomyocyte cell cycle status

Overview of attention for article published in Basic Research in Cardiology, April 2015
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Title
Transgenic systems for unequivocal identification of cardiac myocyte nuclei and analysis of cardiomyocyte cell cycle status
Published in
Basic Research in Cardiology, April 2015
DOI 10.1007/s00395-015-0489-2
Pubmed ID
Authors

Alexandra Raulf, Hannes Horder, Laura Tarnawski, Caroline Geisen, Annika Ottersbach, Wilhelm Röll, Stefan Jovinge, Bernd K. Fleischmann, Michael Hesse

Abstract

Even though the mammalian heart has been investigated for many years, there are still uncertainties in the fields of cardiac cell biology and regeneration with regard to exact fractions of cardiomyocytes (CMs) at different developmental stages, their plasticity after cardiac lesion and also their basal turnover rate. A main shortcoming is the accurate identification of CM and the demonstration of CM division. Therefore, an in vivo model taking advantage of a live reporter-based identification of CM nuclei and their cell cycle status is needed. In this technical report, we describe the generation and characterization of embryonic stem cells and transgenic mice expressing a fusion protein of human histone 2B and the red fluorescence protein mCherry under control of the CM specific αMHC promoter. This fluorescence label allows unequivocal identification and quantitation of CM nuclei and nuclearity in isolated cells and native tissue slices. In ventricles of adults, we determined a fraction of <20 % CMs and binucleation of 77-90 %, while in atria a CM fraction of 30 % and a binucleation index of 14 % were found. We combined this transgenic system with the CAG-eGFP-anillin transgene, which identifies cell division and established a novel screening assay for cell cycle-modifying substances in isolated, postnatal CMs. Our transgenic live reporter-based system enables reliable identification of CM nuclei and determination of CM fractions and nuclearity in heart tissue. In combination with CAG-eGFP-anillin-mice, the cell cycle status of CMs can be monitored in detail enabling screening for proliferation-inducing substances in vitro and in vivo.

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Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 30%
Researcher 14 18%
Student > Master 7 9%
Student > Bachelor 4 5%
Other 4 5%
Other 8 10%
Unknown 19 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 38%
Agricultural and Biological Sciences 10 13%
Medicine and Dentistry 9 11%
Chemistry 2 3%
Engineering 2 3%
Other 8 10%
Unknown 19 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 January 2016.
All research outputs
#15,351,145
of 22,834,308 outputs
Outputs from Basic Research in Cardiology
#447
of 644 outputs
Outputs of similar age
#156,632
of 263,878 outputs
Outputs of similar age from Basic Research in Cardiology
#4
of 16 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 644 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 263,878 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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.