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ISL1 Protein Transduction Promotes Cardiomyocyte Differentiation from Human Embryonic Stem Cells

Overview of attention for article published in PLOS ONE, January 2013
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Title
ISL1 Protein Transduction Promotes Cardiomyocyte Differentiation from Human Embryonic Stem Cells
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0055577
Pubmed ID
Authors

Hananeh Fonoudi, Meghdad Yeganeh, Faranak Fattahi, Zaniar Ghazizadeh, Hassan Rassouli, Mehdi Alikhani, Bahareh Adhami Mojarad, Hossein Baharvand, Ghasem Hosseini Salekdeh, Nasser Aghdami

Abstract

Human embryonic stem cells (hESCs) have the potential to provide an unlimited source of cardiomyocytes, which are invaluable resources for drug or toxicology screening, medical research, and cell therapy. Currently a number of obstacles exist such as the insufficient efficiency of differentiation protocols, which should be overcome before hESC-derived cardiomyocytes can be used for clinical applications. Although the differentiation efficiency can be improved by the genetic manipulation of hESCs to over-express cardiac-specific transcription factors, these differentiated cells are not safe enough to be applied in cell therapy. Protein transduction has been demonstrated as an alternative approach for increasing the efficiency of hESCs differentiation toward cardiomyocytes.

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Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
Spain 1 2%
Portugal 1 2%
Australia 1 2%
Unknown 56 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Researcher 11 18%
Student > Doctoral Student 9 15%
Student > Master 8 13%
Student > Bachelor 4 7%
Other 9 15%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 30%
Biochemistry, Genetics and Molecular Biology 13 22%
Medicine and Dentistry 12 20%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Computer Science 2 3%
Other 3 5%
Unknown 9 15%