Single Cell Sequencing Identifies Key Epigenetic Regulators in Nuclear Transfer Mediated Reprogramming [RNA-seq]
Transcriptomics Dataset
FAIR Metrics
0 evaluations
General Information
AccessionGSE70605
TitleSingle Cell Sequencing Identifies Key Epigenetic Regulators in Nuclear Transfer Mediated Reprogramming [RNA-seq]
DescriptionDifferentiated cell can be reprogrammed into totipotent embryo through somatic cell nuclear transfer (SCNT). However, this process is highly inefficient and most cloned embryos arrest at certain developmental stages. Through single cell sequencing combined with embryo biopsy, here we generate a global map of DNA methylome and RNA transcriptome for SCNT embryos with distinct developmental fates. We subsequently demonstrate that the unfaithful reactivation of two histone demethylases, Kdm4b and Kdm5b, accounts for the arrest of cloned embryos at 2-cell and 4-cell stage, respectively. Ectopic expression of Kdm4b and Kdm5b in SCNT can remove H3K9me3 barrier, restore the transcription profile and facilitate the blastocyst developmental efficiency over 95%%. Moreover, these cloned embryos can further support full-term development and the derivation of SCNT-embryonic stem cells with greater efficiency. Our study reveals that histone methylation reset is crucial for the development of SCNT embryos, which provides a clue to further improve therapeutic cloning.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE70605
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 GSE70605
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.