RNA-sequencing transcriptome profiling of normal human keratinocytes differentiation
Transcriptomics Dataset
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General Information
AccessionGSE73305
TitleRNA-sequencing transcriptome profiling of normal human keratinocytes differentiation
DescriptionIn this study, we used a RNA-sequencing (RNA-seq) approach to analyze the whole transcriptomes of human primary Keratinocytes (KC) at different differentiation stages. An average of 72.56 million reads were collected for each sample: 87.68%% of the sequences could mapped to the human genome, and 66.70%% of sequence mapped to known human genes. A total of 17,446 220 genes were expressed during the course of differentiation. 1024 transcription factors (TF) and genes encoding TF binding proteins were detected during the course of differentiation were expressed during the course of KC differentiation.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE73305
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
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE73305
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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