Genetic Programs in Human and Mouse Early Embryos Revealed by Single-Cell RNA-Sequencing
Transcriptomics Dataset
FAIR Metrics
0 evaluations
General Information
AccessionGSE44183
TitleGenetic Programs in Human and Mouse Early Embryos Revealed by Single-Cell RNA-Sequencing
DescriptionMammalian preimplantation development is a complex process involving dramatic changes in the transcriptional architecture. Through single-cell RNA-sequencing (RNA-seq), we report here a comprehensive analysis of transcriptome dynamics from oocyte to morula in both human and mouse embryos. Based on single nucleotide variants (SNVs) in blastomere mRNAs and paternal-specific SNPs, we identify novel stage-specific monoallelic expression patterns for a significant portion of polymorphic gene transcripts (25-53%%). By weighted gene co-expression network analysis (WGCNA), we find that each developmental stage can be concisely delineated by a small number of functional modules of co-expressed genes. This result indicates a sequential order of transcriptional changes in pathways of cell cycle, gene regulation, translation, and metabolism in a step-wise fashion from cleavage to morula. Cross-species comparisons reveal that the majority of human stage-specific modules (7 out of 9) are remarkably preserved, only to diverge in developmental specificity and timing in mice. We further identify conserved key members (or hub genes) of the human and mouse networks. These genes represent novel candidates that are likely key players in driving mammalian preimplantation development. Collectively, we demonstrate that mammalian preimplantation development is orchestrated by evolutionarily conserved genetic programs that diverge in developmental timing. Our results provide a valuable resource to dissect gene regulatory mechanism underlying progressive development of early mammalian embryos.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE44183
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
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
Canned Analyses generated with the dataset
Filters  
Dataset Accession
Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE44183
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
Interactive heatmap visualization of RNA-seq dataset GSE44183
ARCHS4, Clustergrammer
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.