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No specific gene expression signature in human granulosa and cumulus cells for prediction of oocyte fertilisation and embryo implantation.

Burnik Papler T, Vrtacnik Bokal E, Lovrecic L, Kopitar AN, Maver A - PLoS ONE (2015)

Bottom Line: After statistical analysis of microarray data, there were no significantly differentially expressed genes (FDR<0,05) between non-fertilized and fertilized oocytes and non-implanted and implanted embryos in either of the cell type.Furthermore, the results of quantitative real-time PCR were in consent with microarray data as there were no significant differences in gene expression of genes selected for validation.In conclusion, we did not find biomarkers for prediction of oocyte fertilization and embryo implantation in IVF procedures in the present study.

View Article: PubMed Central - PubMed

Affiliation: Department of Human Reproduction, Division of Gynaecology, University Medical Centre Ljubljana, Slajmerjeva 3, SI-1000 Ljubljana, Slovenia.

ABSTRACT
In human IVF procedures objective and reliable biomarkers of oocyte and embryo quality are needed in order to increase the use of single embryo transfer (SET) and thus prevent multiple pregnancies. During folliculogenesis there is an intense bi-directional communication between oocyte and follicular cells. For this reason gene expression profile of follicular cells could be an important indicator and biomarker of oocyte and embryo quality. The objective of this study was to identify gene expression signature(s) in human granulosa (GC) and cumulus (CC) cells predictive of successful embryo implantation and oocyte fertilization. Forty-one patients were included in the study and individual GC and CC samples were collected; oocytes were cultivated separately, allowing a correlation with IVF outcome and elective SET was performed. Gene expression analysis was performed using microarrays, followed by a quantitative real-time PCR validation. After statistical analysis of microarray data, there were no significantly differentially expressed genes (FDR<0,05) between non-fertilized and fertilized oocytes and non-implanted and implanted embryos in either of the cell type. Furthermore, the results of quantitative real-time PCR were in consent with microarray data as there were no significant differences in gene expression of genes selected for validation. In conclusion, we did not find biomarkers for prediction of oocyte fertilization and embryo implantation in IVF procedures in the present study.

No MeSH data available.


Number of genes surpassing a specified significance threshold (FDR = 0.05) in granulosa and cumulus cell lines when comparing pregnant versus non-pregnant samples.Blue bars represent nominal P value, red bars represent adjusted P value.
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pone.0115865.g002: Number of genes surpassing a specified significance threshold (FDR = 0.05) in granulosa and cumulus cell lines when comparing pregnant versus non-pregnant samples.Blue bars represent nominal P value, red bars represent adjusted P value.

Mentions: Comparison of transcriptional differences between non-P and P outcomes of the IVF procedure revealed that 546 genes in GC and 629 genes in CC surpassed the nominal significance threshold of 0.05. However, after the correction for multiple testing, none of the genes surpassed the adjusted significance threshold (FDR<0.05) (Fig. 2). The lists of top differentially expressed genes before the correction are presented in S1 and S2 Tables for GC and CC cells, respectively. Furthermore, the comparison of global gene expression profiles of GC and CC between non-fertilized (non-F) and fertilized (merged non-P and P) oocytes revealed, there were no differentially expressed genes after the correction for multiple testing (S1 Fig.).


No specific gene expression signature in human granulosa and cumulus cells for prediction of oocyte fertilisation and embryo implantation.

Burnik Papler T, Vrtacnik Bokal E, Lovrecic L, Kopitar AN, Maver A - PLoS ONE (2015)

Number of genes surpassing a specified significance threshold (FDR = 0.05) in granulosa and cumulus cell lines when comparing pregnant versus non-pregnant samples.Blue bars represent nominal P value, red bars represent adjusted P value.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4359149&req=5

pone.0115865.g002: Number of genes surpassing a specified significance threshold (FDR = 0.05) in granulosa and cumulus cell lines when comparing pregnant versus non-pregnant samples.Blue bars represent nominal P value, red bars represent adjusted P value.
Mentions: Comparison of transcriptional differences between non-P and P outcomes of the IVF procedure revealed that 546 genes in GC and 629 genes in CC surpassed the nominal significance threshold of 0.05. However, after the correction for multiple testing, none of the genes surpassed the adjusted significance threshold (FDR<0.05) (Fig. 2). The lists of top differentially expressed genes before the correction are presented in S1 and S2 Tables for GC and CC cells, respectively. Furthermore, the comparison of global gene expression profiles of GC and CC between non-fertilized (non-F) and fertilized (merged non-P and P) oocytes revealed, there were no differentially expressed genes after the correction for multiple testing (S1 Fig.).

Bottom Line: After statistical analysis of microarray data, there were no significantly differentially expressed genes (FDR<0,05) between non-fertilized and fertilized oocytes and non-implanted and implanted embryos in either of the cell type.Furthermore, the results of quantitative real-time PCR were in consent with microarray data as there were no significant differences in gene expression of genes selected for validation.In conclusion, we did not find biomarkers for prediction of oocyte fertilization and embryo implantation in IVF procedures in the present study.

View Article: PubMed Central - PubMed

Affiliation: Department of Human Reproduction, Division of Gynaecology, University Medical Centre Ljubljana, Slajmerjeva 3, SI-1000 Ljubljana, Slovenia.

ABSTRACT
In human IVF procedures objective and reliable biomarkers of oocyte and embryo quality are needed in order to increase the use of single embryo transfer (SET) and thus prevent multiple pregnancies. During folliculogenesis there is an intense bi-directional communication between oocyte and follicular cells. For this reason gene expression profile of follicular cells could be an important indicator and biomarker of oocyte and embryo quality. The objective of this study was to identify gene expression signature(s) in human granulosa (GC) and cumulus (CC) cells predictive of successful embryo implantation and oocyte fertilization. Forty-one patients were included in the study and individual GC and CC samples were collected; oocytes were cultivated separately, allowing a correlation with IVF outcome and elective SET was performed. Gene expression analysis was performed using microarrays, followed by a quantitative real-time PCR validation. After statistical analysis of microarray data, there were no significantly differentially expressed genes (FDR<0,05) between non-fertilized and fertilized oocytes and non-implanted and implanted embryos in either of the cell type. Furthermore, the results of quantitative real-time PCR were in consent with microarray data as there were no significant differences in gene expression of genes selected for validation. In conclusion, we did not find biomarkers for prediction of oocyte fertilization and embryo implantation in IVF procedures in the present study.

No MeSH data available.