Human oocyte developmental potential is predicted by mechanical properties within hours after fertilization
Livia Z. Yanez (),
Jinnuo Han,
Barry B. Behr,
Renee A. Reijo Pera and
David B. Camarillo ()
Additional contact information
Livia Z. Yanez: Stanford University School of Engineering
Jinnuo Han: Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine
Barry B. Behr: Stanford University School of Medicine
Renee A. Reijo Pera: Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine
David B. Camarillo: Stanford University School of Engineering
Nature Communications, 2016, vol. 7, issue 1, 1-12
Abstract:
Abstract The causes of embryonic arrest during pre-implantation development are poorly understood. Attempts to correlate patterns of oocyte gene expression with successful embryo development have been hampered by the lack of reliable and nondestructive predictors of viability at such an early stage. Here we report that zygote viscoelastic properties can predict blastocyst formation in humans and mice within hours after fertilization, with >90% precision, 95% specificity and 75% sensitivity. We demonstrate that there are significant differences between the transcriptomes of viable and non-viable zygotes, especially in expression of genes important for oocyte maturation. In addition, we show that low-quality oocytes may undergo insufficient cortical granule release and zona-hardening, causing altered mechanics after fertilization. Our results suggest that embryo potential is largely determined by the quality and maturation of the oocyte before fertilization, and can be predicted through a minimally invasive mechanical measurement at the zygote stage.
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/ncomms10809 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms10809
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms10809
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().