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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Molecular Reproducti...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Molecular Reproduction and Development
Article . 2001 . Peer-reviewed
License: Wiley Online Library User Agreement
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Comparison of gene transcription in cloned bovine embryos produced by different nuclear transfer techniques

Authors: R, Daniels; V J, Hall; A J, French; N A, Korfiatis; A O, Trounson;

Comparison of gene transcription in cloned bovine embryos produced by different nuclear transfer techniques

Abstract

AbstractThe efficiency of animal production using cloning technology is still relatively low and research to determine a more efficient nuclear transfer procedure is ongoing. One approach which may be informative in assessing the viability of nuclear transfer embryos is the analysis of embryonic gene expression. Using RT‐PCR techniques we have previously detected the aberrant expression of FGF4, FGFr2 and IL6 in a significant proportion of bovine granulosa cell‐derived nuclear transfer embryos, which correlated with a limited developmental potential in vivo. In order to analyse the effect of different donor cell nuclei on embryonic gene expression we have now analysed the expression of these genes in nuclear transfer embryos reconstructed with fetal epithelial cell nuclei. In addition, we have compared the expression of these genes in bovine nuclear transfer embryos produced by cell fusion or direct injection with variations in the timing of oocyte activation. In all nuclear transfer embryos analysed, FGFr2 and IL6 transcripts were detected at a similar rate to that in IVF embryos. However, the absence of FGF4 transcripts was again evident in a large proportion of nuclear transfer embryos and most significantly in those embryos whose development was activated almost immediately following the transfer of the donor nucleus. The results demonstrate the effects that different donor cell lines and different nuclear transfer procedures may have on the expression of developmentally important genes in nuclear transfer embryos. Mol. Reprod. Dev. 60: 281–288, 2001. © 2001 Wiley‐Liss, Inc.

Related Organizations
Keywords

Nuclear Transfer Techniques, Transcription, Genetic, Interleukin-6, Cloning, Organism, Fibroblast Growth Factor 4, Gene Expression, Polynucleotide Adenylyltransferase, Receptor Protein-Tyrosine Kinases, Fertilization in Vitro, Embryo Transfer, Receptors, Fibroblast Growth Factor, Fibroblast Growth Factors, Proto-Oncogene Proteins, Animals, Cattle, Female, Receptor, Fibroblast Growth Factor, Type 2

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
107
Average
Top 10%
Top 1%
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