Resolution of Cell Fate Decisions Revealed by Single-Cell Gene Expression Analysis from Zygote to Blastocyst
pmid: 20412781
Resolution of Cell Fate Decisions Revealed by Single-Cell Gene Expression Analysis from Zygote to Blastocyst
Three distinct cell types are present within the 64-cell stage mouse blastocyst. We have investigated cellular development up to this stage using single-cell expression analysis of more than 500 cells. The 48 genes analyzed were selected in part based on a whole-embryo analysis of more than 800 transcription factors. We show that in the morula, blastomeres coexpress transcription factors specific to different lineages, but by the 64-cell stage three cell types can be clearly distinguished according to their quantitative expression profiles. We identify Id2 and Sox2 as the earliest markers of outer and inner cells, respectively. This is followed by an inverse correlation in expression for the receptor-ligand pair Fgfr2/Fgf4 in the early inner cell mass. Position and signaling events appear to precede the maturation of the transcriptional program. These results illustrate the power of single-cell expression analysis to provide insight into developmental mechanisms. The technique should be widely applicable to other biological systems.
- National University of Singapore Singapore
- Genome Institute of Singapore Singapore
- Agency for Science, Technology and Research Singapore
Male, Transcriptional Activation, Transcription, Genetic, Zygote, Gene Expression Profiling, Cell Cycle, Gene Expression Regulation, Developmental, DEVBIO, Cell Differentiation, Mice, Blastocyst, Animals, Cell Lineage, Female, Developmental Biology, Signal Transduction
Male, Transcriptional Activation, Transcription, Genetic, Zygote, Gene Expression Profiling, Cell Cycle, Gene Expression Regulation, Developmental, DEVBIO, Cell Differentiation, Mice, Blastocyst, Animals, Cell Lineage, Female, Developmental Biology, Signal Transduction
999 Research products, page 1 of 100
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2018IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
chevron_left - 1
- 2
- 3
- 4
- 5
chevron_right
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).745 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 0.1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
