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Potential for Pancreatic Maturation of Differentiating Human Embryonic Stem Cells Is Sensitive to the Specific Pathway of Definitive Endoderm Commitment

Overview of attention for article published in PLOS ONE, April 2014
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Title
Potential for Pancreatic Maturation of Differentiating Human Embryonic Stem Cells Is Sensitive to the Specific Pathway of Definitive Endoderm Commitment
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094307
Pubmed ID
Authors

Maria Jaramillo, Shibin Mathew, Keith Task, Sierra Barner, Ipsita Banerjee

Abstract

This study provides a detailed experimental and mathematical analysis of the impact of the initial pathway of definitive endoderm (DE) induction on later stages of pancreatic maturation. Human embryonic stem cells (hESCs) were induced to insulin-producing cells following a directed-differentiation approach. DE was induced following four alternative pathway modulations. DE derivatives obtained from these alternate pathways were subjected to pancreatic progenitor (PP) induction and maturation and analyzed at each stage. Results indicate that late stage maturation is influenced by the initial pathway of DE commitment. Detailed quantitative analysis revealed WNT3A and FGF2 induced DE cells showed highest expression of insulin, are closely aligned in gene expression patterning and have a closer resemblance to pancreatic organogenesis. Conversely, BMP4 at DE induction gave most divergent differentiation dynamics with lowest insulin upregulation, but highest glucagon upregulation. Additionally, we have concluded that early analysis of PP markers is indicative of its potential for pancreatic maturation.

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Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Australia 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 27%
Student > Ph. D. Student 7 23%
Student > Master 3 10%
Student > Bachelor 2 7%
Professor 2 7%
Other 3 10%
Unknown 5 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 20%
Agricultural and Biological Sciences 5 17%
Engineering 4 13%
Medicine and Dentistry 3 10%
Computer Science 2 7%
Other 3 10%
Unknown 7 23%