Literature DB >> 19073617

Assessment of the developmental competence of human somatic cell nuclear transfer embryos by oocyte morphology classification.

Yang Yu1, Qingyun Mai, Xinjie Chen, Liu Wang, Ling Gao, Canquan Zhou, Qi Zhou.   

Abstract

BACKGROUND: The oocyte plays a key role in reprogramming the epigenetic status of donor cell nuclei, and the absence of reprogramming elements in the cytoplasm or aberrant accumulation of proteins can trigger the abnormal development of nuclear transfer (NT) embryos. Previous studies have demonstrated the relationship between oocyte morphology and both embryo development and pregnancy outcome. In the present study, we compared the morphology of oocytes with subsequent development of human somatic cell NT (SCNT) embryos.
METHODS: Piezo-assisted SCNT technology was used to produce reconstructed embryos, with almost 92% of oocytes reconstructed successfully. Depending on their morphologies, we separated metaphase II oocytes into four grades according to criteria which assess oocyte morphology, first polar body and perivitelline space, and especially, cytoplasm granula distribution.
RESULTS: Embryos from oocytes of Grades A and B could develop to the blastocyst stage with similar development efficiency for every developmental stage. However, embryos from Grade C oocytes arrested at or before the 8-cell stage then degraded, and the donor cell genome could not be activated and reprogrammed in such oocytes. For Grade D oocytes, cleavage was not observed in the reconstructed embryos, suggesting that the oocytes themselves have no developmental potential.
CONCLUSIONS: Our study revealed that different levels of developmental competence of SCNT embryos resulting from different oocyte reprogramming potentials associated with different morphologies. The results suggest that effective methods for improving oocyte quality should be studied, and that human SCNT efficiency would be increased following simple assessment of established oocyte morphology criterion.

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Year:  2008        PMID: 19073617     DOI: 10.1093/humrep/den407

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  7 in total

1.  Derivation, culture and retinal pigment epithelial differentiation of human embryonic stem cells using human fibroblast feeder cells.

Authors:  Yun-Shan Zhang; Zhen-Yu Lu; Yang Yu; Xiao-Rong Li; Wen-Bo Li; Yi-Na Wang; Ying Geng
Journal:  J Assist Reprod Genet       Date:  2012-06-03       Impact factor: 3.412

2.  Biomarkers of human oocyte developmental competence expressed in cumulus cells before ICSI: a preliminary study.

Authors:  Mourad Assidi; Markus Montag; Katrin Van der Ven; Marc-André Sirard
Journal:  J Assist Reprod Genet       Date:  2010-10-16       Impact factor: 3.412

3.  Use of both cumulus cells' transcriptomic markers and zona pellucida birefringence to select developmentally competent oocytes in human assisted reproductive technologies.

Authors:  Mourad Assidi; Markus Montag; Marc-André Sirard
Journal:  BMC Genomics       Date:  2015-01-15       Impact factor: 3.969

4.  Chromosome microduplication in somatic cells decreases the genetic stability of human reprogrammed somatic cells and results in pluripotent stem cells.

Authors:  Yang Yu; Liang Chang; Hongcui Zhao; Rong Li; Yong Fan; Jie Qiao
Journal:  Sci Rep       Date:  2015-05-12       Impact factor: 4.379

5.  Exploring timing activation of functional pathway based on differential co-expression analysis in preimplantation embryogenesis.

Authors:  Yongchun Zuo; Guanghua Su; Shanshan Wang; Lei Yang; Mingzhi Liao; Zhuying Wei; Chunling Bai; Guangpeng Li
Journal:  Oncotarget       Date:  2016-11-08

Review 6.  Techniques of Human Embryonic Stem Cell and Induced Pluripotent Stem Cell Derivation.

Authors:  Jarosław Lewandowski; Maciej Kurpisz
Journal:  Arch Immunol Ther Exp (Warsz)       Date:  2016-03-03       Impact factor: 4.291

7.  Single-Cell Transcriptomics of Human Oocytes: Environment-Driven Metabolic Competition and Compensatory Mechanisms During Oocyte Maturation.

Authors:  Hongcui Zhao; Tianjie Li; Yue Zhao; Tao Tan; Changyu Liu; Yali Liu; Liang Chang; Ning Huang; Chang Li; Yong Fan; Yang Yu; Rong Li; Jie Qiao
Journal:  Antioxid Redox Signal       Date:  2018-04-13       Impact factor: 8.401

  7 in total

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