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Connexin expression and gap-junctional intercellular communication in ES cells and iPS cells

Overview of attention for article published in Frontiers in Pharmacology, January 2013
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Title
Connexin expression and gap-junctional intercellular communication in ES cells and iPS cells
Published in
Frontiers in Pharmacology, January 2013
DOI 10.3389/fphar.2013.00085
Pubmed ID
Authors

Masahito Oyamada, Kumiko Takebe, Aya Endo, Sachiko Hara, Yumiko Oyamada

Abstract

Pluripotent stem cells, i.e., embryonic stem (ES) and induced pluripotent stem (iPS) cells, can indefinitely proliferate without commitment and differentiate into all cell lineages. ES cells are derived from the inner cell mass of the preimplantation blastocyst, whereas iPS cells are generated from somatic cells by overexpression of a few transcription factors. Many studies have demonstrated that mouse and human iPS cells are highly similar but not identical to their respective ES cell counterparts. The potential to generate basically any differentiated cell types from these cells offers the possibility to establish new models of mammalian development and to create new sources of cells for regenerative medicine. ES cells and iPS cells also provide useful models to study connexin expression and gap-junctional intercellular communication (GJIC) during cell differentiation and reprogramming. In 1996, we reported connexin expression and GJIC in mouse ES cells. Because a substantial number of papers on these subjects have been published since our report, this Mini Review summarizes currently available data on connexin expression and GJIC in ES cells and iPS cells during undifferentiated state, differentiation, and reprogramming.

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The data shown below were collected from the profile of 1 X user 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 36%
Researcher 6 15%
Student > Master 4 10%
Student > Bachelor 3 8%
Student > Postgraduate 3 8%
Other 7 18%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 33%
Biochemistry, Genetics and Molecular Biology 9 23%
Medicine and Dentistry 8 21%
Engineering 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 5%
Unknown 3 8%
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 03 July 2013.
All research outputs
#20,195,877
of 22,713,403 outputs
Outputs from Frontiers in Pharmacology
#9,930
of 15,940 outputs
Outputs of similar age
#248,765
of 280,747 outputs
Outputs of similar age from Frontiers in Pharmacology
#92
of 167 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,940 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.