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Understanding human pre-implantation development has important implications for assisted reproductive technology (ART) and for human embryonic stem cell (hESC)-based therapies. Owing to limited resources, the cellular and molecular mechanisms governing this early stage of human development are poorly understood. Nonetheless, recent advances in non-invasive imaging techniques and molecular and genomic technologies have helped to increase our understanding of this fascinating stage of human development. Here, we summarize what is currently known about human pre-implantation embryo development and highlight how further studies of human pre-implantation embryos can be used to improve ART and to fully harness the potential of hESCs for therapeutic goals.
Reproductive Techniques, Assisted, Zygote, Cell- and Tissue-Based Therapy, Embryonic Development, Aneuploidy, Embryo, Mammalian, Oocyte to embryo transition, Blastocyst, Cleavage division, Human embryo, Animals, Humans, Intercellular Signaling Peptides and Proteins, Gene Regulatory Networks, Human embryonic stem cells, Embryonic Stem Cells
Reproductive Techniques, Assisted, Zygote, Cell- and Tissue-Based Therapy, Embryonic Development, Aneuploidy, Embryo, Mammalian, Oocyte to embryo transition, Blastocyst, Cleavage division, Human embryo, Animals, Humans, Intercellular Signaling Peptides and Proteins, Gene Regulatory Networks, Human embryonic stem cells, Embryonic Stem Cells
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). | 305 | |
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 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 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |