RNA-seq analysis in Cornea epithelial cells (CECs), skin epithelial cells (SECs), LSCs after knocking down PAX6 (3-D shPAX6 LSCs) and SESCs transduced with PAX6(3-D PAX6+ SESCs) upon 3-D differentiation
Transcriptomics Dataset
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General Information
AccessionGSE54322
TitleRNA-seq analysis in Cornea epithelial cells (CECs), skin epithelial cells (SECs), LSCs after knocking down PAX6 (3-D shPAX6 LSCs) and SESCs transduced with PAX6(3-D PAX6+ SESCs) upon 3-D differentiation
DescriptionPurpose: We find that Wnt7a-PAX6 axis determine corneal epithelial cell fate. To obtain global evidence for successful cell fate conversion, we performed gene expression profiling by RNA-seq on CECs, SECs, and LSCs after knocking down PAX6 and on SESCs transduced with PAX6 upon 3-D differentiation. Methods: Under 3-D culture condition, limbal stem cell (LSCs) can be differentiated to Cornea epithelial cells (CECs), and skin epithelial stem cells (SESCs) can be differentiated to skin epithelial cells (SECs). Total RNA was isolated from CECs, SECs, and LSCs after knocking down PAX6 (3-D shPAX6 LSCs) and on SESCs transduced with PAX6 (3-D PAX6+ SESCs) upon 3-D differentiation. Libraries were prepared following published standard protocol (Fox-Walsh K et al., 2011, genomics, 266-71). mRNA profiles were generated by deep sequencing, in duplicate, using Illumina HiSeq 2000. Results: Following optimized decoding and mapping workfollow, we mapped about 5 million sequence reads to the human genome and identified more than 23659 transcripts per sample. Conclusions: Hierarchical clustering analysis of differentially expressed gene signatures revealed that the gene expression pattern of SESCs with PAX6 transduction was strikingly similar to that of CECs, whereas the profile of LSCs with PAX6 knockdown was highly related to that in SECs upon differentiation. These data therefore provided global evidence for a decisive role of the WNT7A/PAX6 axis in cell fate conversion from SESCs to CECs.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE54322
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE54322
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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