Dataset Information

Cell fate inclination within 2-cell and 4-cell mouse embryos revealed by single-cell RNA sequencing

ABSTRACT: It remains an open question when and how the first cell fate decision is made in mammals. Using deep single-cell RNA-seq of matched sister blastomeres, we report highly reproducible interblastomere differences among ten 2-cell and five 4-cell mouse embryos. Inter-blastomere gene expression differences dominated between-embryo differences and noises, and were sufficient to cluster sister blastomeres into distinct groups. Dozens of protein-coding genes exhibited reproducible bimodal expression in sister blastomeres (0 vs. 1e3-1e6 of FPKM), which cannot be explained by random fluctuations. The protein expression of one of these bimodal genes, Gadd45a, exhibited clear inter-blastomeric contrasts. We traced some of the bimodal mRNA expressions to embryonic genome activation, and others to blastomere-specific RNA depletion. Inter-blastomere differences created co-expression gene networks that were much stronger and larger than those that can be possibly created by random noises. The highly correlated gene pairs at the 4-cell overlapped with those showing the same directions of differential expression between inner cell mass (ICM) and trophectoderm (TE). These data substantiate the hypothesis of inter-blastomere differences in 2- and 4-cell mouse embryos, and associate these differences with ICM/TE differences.

ORGANISM(S): Mus musculus

PROVIDER: GSE57249 | GEO | 2014/07/29

SECONDARY ACCESSION(S): PRJNA246056

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:We have derived hESC from biopsied blastomeres of cleavage stage embryos under virtually the same conditions we used for the derivation of hESC lines from inner cell mass of blastocyst stage embryos. Blastomere-derived hESC lines exhibited all the standard characteristics of hESC including undifferentiated proliferation, genomic stability, expression of pluripotency markers and the ability to differentiate into the cells of all three germ layers both in vitro and in vivo. To examine whether hESC lines derived from two developmental stages of the embryo differ in gene expression, we have subjected three blastomere-derived hESC lines and two ICM-derived hESC lines grown under identical culture conditions to transcriptome analysis using gene expression arrays. Unlike previously reported comparisons of hESC lines which demonstrated, apart from core hESC-associated pluripotency signature, significant variations in gene expression profiles of different lines, our data show that hESC lines derived and grown under well-controlled defined culture conditions adopt nearly identical gene expression profiles. Moreover, blastomere-derived and ICM-derived hESC exhibited very similar transcriptional profiles independent of the developmental stage of the embryo from which they originated. Furthermore, this profile was evident in very early passages of the cells and did not appear to be affected by extensive passaging. These results suggest that during derivation process cells which give rise to hESC acquire virtually identical stable phenotype and are not affected by the developmental stage of the starting cell population. we investigated whether human stem cell lines derived from late totipotent blastomeres of the cleavage stage embryo develop a more “primitive” phenotype than ICM-derived lines by profiling their respective gene expression, molecular regulation and signaling pathways. In this study, we examined whether the inherent differences in the development stage of the starting embryonic cell population are maintained in the derived hESC lines by evaluating the stemness, differentiation capacity and gene expression profiles of blastomere- and ICM-derived hESC lines.

Dataset Information

Cell fate inclination within 2-cell and 4-cell mouse embryos revealed by single-cell RNA sequencing

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets