Preimplantation genetic diagnosis (PGD) for inversion carriers

Bu çalışma, 07-10 Temmuz 2013 tarihleri arasında London[İngiltere]’da düzenlenen 29. Annual Meeting of the European-Society-of-Human-Reproduction-and-Embryology (ESHRE)’da bildiri olarak sunulmuştur.European Soc Human Reprod & Embryo

Is there a correlation between follicle size and gene expression in cumulus cells and is gene expression an indicator of embryo development?

Abstract Background In an article published in 2017, we discussed the results of the first part of our study into the morphokinetic development of embryos in relation to follicle diameter and homogeneity of follicular development. Our findings showed that embryos coming from small follicles in heterogeneous cycles had significantly higher rates of arrest or failure to reach blastocyst than embryos coming from large follicles in homogenous cycles. The aim of this further study was to investigate the relationship between follicular size and gene expression of cumulus cells (CCs) and evaluate whether gene expression could be an indicator of embryo development. Methods This study was based on 2495 COCs from 184 patients. CC expressions of five genes (TNFAIP6, PTGS2, HAS2, PTX3 and GDF9) were studied by generalized linear mixed models (GLMMs) regarding follicular size. CC expressions were then separately analysed regarding patient-specific variables (age, BMI, AMH and follicular size) in relation to embryos reaching blastocyst (eRB) or top or good quality blastocysts (TQ + GQ) using GLMMs with logit link. Results Follicular size significantly correlated with the potential of an oocyte to develop into a blastocyst: oocytes developing from large follicles were more than twice as likely to develop into an eRB than oocytes from small follicles (p < 0.001). Gene expression of HAS2 and GDF9 correlated with blastocyst quality when separately evaluated with follicular size and the patient specific variables of age, BMI and AMH. However, no such correlation was found in other gene expressions studied. Conclusions Our findings suggest that differences in the expression of genes studied could be related to follicular size rather than to embryo quality. Although gene expression of HAS2 and GDF9 correlated with blastocyst quality, the only variable correlating with eRB and TQ and GQ blastocysts for each of these five models was follicular size. Trial registration This prospective cohort study was registered at clinicaltrials.gov (NCT02230449)

Additional file 1 of Is there a correlation between follicle size and gene expression in cumulus cells and is gene expression an indicator of embryo development?

Table S1. Patients’ characteristics and outcomes. Table S2. Oligonucleotide primer sequences used for real-time PCR in this study. Table S3. Separate analyses of CC expression of the studied genes regarding clinical variables and implantation. (DOCX 20 kb

Investigation of ErbB and Insulin Signaling Pathways in the Pathogenesis of Multiple Myeloma

Aim: Analysis of genes that play roles in multiple myeloma pathogenesis and their pathways are current research topics. We aimed to detect expression of some genes in ErbB and insulin signaling pathways. Methods: Bone marrow samples were taken from three healthy volunteers and 17 treatment-naive patients. Firstly RNA isolation was made and then cDNA were synthesized. There are eight genes that are related to ErbB and insulin signaling pathways. Specific primers for these genes were designed. Gene expression analysis was performed by the real-time polymerase chain reaction method. Results: In the patient group, expressions of MTOR, RPTOR, PIK3CA, AKT1, ErbB4, PRKAR2A and PRKACB genes were detected to be 3-10 times up-regulated than in control group. There were no differences in the expression levels of RICTOR and GYS1 genes between control group and patient group. GYS1, PRKACB and PRKAR2A genes have been analyzed for the first time. Conclusion: In this study, PRKAR2A and PRKACB genes expressions were detected to be upregulated and this has not been reported in the literature before. MTOR, RPTOR, PIK3CA, AKT1, and ErbB4 genes expression were detected to be upregulated as has been reported in the literature. All these results will be useful to understand the pathogenesis of multiple myeloma