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From cell death to embryo arrest: Mathematical models of human preimplantation embryo development

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Hardy, K., Spanos, S., Becker, D., Iannelli, P., Winston, R. M. L., Stark, J.·2001·Proceedings of the National Academy of Sciences

Abstract

Human preimplantation embryos exhibit high levels of apoptotic cells and high rates of developmental arrest during the first week in vitro . The relation between the two is unclear and difficult to determine by conventional experimental approaches, partly because of limited numbers of embryos. We apply a mixture of experiment and mathematical modeling to show that observed levels of cell death can be reconciled with the high levels of embryo arrest seen in the human only if the developmental competence of embryos is already established at the zygote stage, and environmental factors merely modulate this. This suggests that research on improving in vitro fertilization success rates should move from its current concentration on optimizing culture media to focus more on the generation of a healthy zygote and on understanding the mechanisms that cause chromosomal and other abnormalities during early cleavage stages.

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Metadata

Authors
Hardy, K., Spanos, S., Becker, D., Iannelli, P., Winston, R. M. L., & Stark, J.
Venue
Proceedings of the National Academy of Sciences
Published
2001-02-13
Volume
98
Issue
4
Pages
1655-1660
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2003232219
Cited by
196
References
0
FWCI
14.02
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: From cell death to embryo arrest: Mathematical models of human preimplantation embryo development. https://app.cochat.ai/papers/10.1073/pnas.98.4.1655
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Hardy, K., Spanos, S., Becker, D., Iannelli, P., Winston, R. M. L., & Stark, J. (2001). From cell death to embryo arrest: Mathematical models of human preimplantation embryo development. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.98.4.1655

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.