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Identification of miRNA Signatures during the Differentiation of hESCs into Retinal Pigment Epithelial Cells

Overview of attention for article published in PLOS ONE, July 2012
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Title
Identification of miRNA Signatures during the Differentiation of hESCs into Retinal Pigment Epithelial Cells
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0037224
Pubmed ID
Authors

Ganlu Hu, Kevin Huang, Juehua Yu, Sailesh Gopalakrishna-Pillai, Jun Kong, He Xu, Zhenshan Liu, Kunshan Zhang, Jun Xu, Yuping Luo, Siguang Li, Yi E. Sun, Linda E. Iverson, Zhigang Xue, Guoping Fan

Abstract

Retinal pigment epithelium (RPE) cells can be obtained through in vitro differentiation of both embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs). We have previously identified 87 signature genes relevant to RPE cell differentiation and function through transcriptome analysis of both human ESC- and iPSC-derived RPE as well as normal fetal RPE. Here, we profile miRNA expression through small RNA-seq in human ESCs and their RPE derivatives. Much like conclusions drawn from our previous transcriptome analysis, we find that the overall miRNA landscape in RPE is distinct from ESCs and other differentiated somatic tissues. We also profile miRNA expression during intermediate stages of RPE differentiation and identified unique subsets of miRNAs that are gradually up- or down-regulated, suggesting that dynamic regulation of these miRNAs is associated with the RPE differentiation process. Indeed, the down-regulation of a subset of miRNAs during RPE differentiation is associated with up-regulation of RPE-specific genes, such as RPE65, which is exclusively expressed in RPE. We conclude that miRNA signatures can be used to classify different degrees of in vitro differentiation of RPE from human pluripotent stem cells. We suggest that RPE-specific miRNAs likely contribute to the functional maturation of RPE in vitro, similar to the regulation of RPE-specific mRNA expression.

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The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Japan 1 1%
Unknown 70 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 32%
Researcher 22 30%
Student > Master 6 8%
Student > Bachelor 5 7%
Other 5 7%
Other 10 14%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 54%
Biochemistry, Genetics and Molecular Biology 21 28%
Medicine and Dentistry 4 5%
Computer Science 2 3%
Environmental Science 1 1%
Other 4 5%
Unknown 2 3%