Transcriptome analysis of FSH response in bovine cumulus cells
Ontology highlight
ABSTRACT: Study the effect of recombinant human FSH supplementation in the in vitro maturation medium for an incubation of 6 hrs on the transcriptomics of bovine cumulus cells. 3 biological replicates of cumulus cells derived from cumulus oocyte complexes (COCs) supplemented with FSH (CC-FSH) vs. cumulus cells without FSH (Ct-6H, REFERENCE) were contrasted. Each replicate was subjected to a dye-swap procedure.
Project description:Study the effect of forskolin, dipyridamol and IBMX (here called FID) supplementation in the in vitro maturation medium for an incubation of 6 hrs on the transcriptomics of bovine cumulus cells. 3 biological replicates of cumulus cells derived from cumulus oocyte complexes (COCs) supplemented with FID (CC-FID) vs. cumulus cells without FID (Ct-6H, REFERENCE) were contrasted. Each replicate was subjected to a dye-swap procedure.
Project description:Study the effect of in vitro maturation system on the transcriptomics of bovine cumulus cells during incubation of first 6 hrs. 3 biological replicates of cumulus cells derived from cumulus oocyte complexes (COCs) after 6 hrs of in vitro matutaion(Ct-6H) vs. cumulus cells before maturation (Ct-0H, REFERENCE) were contrasted. Each replicate was subjected to a dye-swap procedure.
Project description:This study investigated the cumulus cell (CC) transcriptomic changes during the oocyte developmental competence acquisition period. Six dairy cows were used for 24 oocyte collections and received FSH twice daily over 3 days, followed by FSH withdrawal for 20, 44, 68 and 92 h in four different oestrous cycles for each of the six cows. Half of the cumulusâoocyte complexes were subjected to in vitro maturation, fertilisation and culture to assess blastocyst rate. The other half of the CC underwent microarray analysis and qRT-PCR.
Project description:Microarray analysis of transcriptome bovine blastocysts Day 8, deriving from oocytes matured under different insulin concentrations as model for metabolic imbalance Three conditions experiment: control, Low Insulin, High Insulin treatments. Biological replicates: 4 for each treatment. One replicate per array.
Project description:Cows in Negative Energy Balance (NEB) may preferentially divert nutrients away from reproduction, thereby experiencing a period of anovulatory anestrus, delayed ovulation of large follicles and a condition of impaired fertility. To better understand the changes occurring in these large follicles as a function of time post-partum granulosa cells of preovulatory follicles have been collected at different times: 30, 60, 90 and 120 days after calving . An analysis of the transcriptome was performed using a global bovine oligo-array microarray to map the differences in genes expression and cellular functions that occur in the follicular microenvironment during the progressive recovery from NEB condition in dairy cow Four time points experiment: 30, 60, 90 and 120 days. Granulosa cells from the 30, 60 and 90 days compare to the 120 days (reference). Biological replicates: 3 from each time point. One replicate per array.
Project description:Some embryos display better survival potential to cryopreservation than others. The cause of such phenotype is still unclear and might be due to cell damage during cryopreservation, resulting from over-accumulation and composition of lipids. In cattle embryos, in vitro culture conditions have been shown to impact the number of lipid droplets within blastomeres. So far, the impact of breed on embryonic lipid content has not yet been studied. In this study were compared the colour, lipid droplet abundance, lipid composition, mitochondrial activity, and gene expression of in vivo collected Jersey breed embryos which are known to display poor performance post-freezing and in vivo Holstein embryos which have good cryotolerance. Holstein in vivo day 6 embryos vs Jersey in vivo day 6 embryos: 4 replicates of each breed, with dye-swap.
Project description:Background The domestic pig is an important livestock species for meat production worldwide and is becoming an established biomedical research model. As a result, there is a strong interest in the factors that affect the efficient production of viable embryos and offspring in this species using either in vivo or in vitro production methods. A limited understanding of the molecular mechanisms involved in this critical physiological process has inhibited our ability to fully elucidate these factors. The use of next generation deep sequencing and microarray technology are powerful tools for delineation of molecular pathways during early embryonic development of mammals. Here, we report on the assessment of a porcine-embryo-specific microarray platform created from a large expressed sequence tag (EST) analysis generated by Roche/454 next-generation sequencing of cDNAs constructed from critical stages of in vivo or in vitro porcine preimplantation embryos. Results Two cDNA libraries constructed from in vitro and in vivo produced preimplantation porcine embryos were normalized and sequenced using the 454 Titanium pyrosequencing technology. Treatment of cDNA libraries with BAL 31 nuclease digestion resulted in a 2 fold improvement of sequencing quality compared with untreated libraries. Over one million high quality EST sequences were obtained from this process and used to create an augmented porcine genome catalogue. Using the resulting dataset the EMbryogene Porcine Version 1 (EMPV1) microarray was developed and is composed of 43,795 probes printed onto a 4 × 44 K Agilent array. Based on the initial probe sequences annotation, the EMPV1 featured 17,409 protein-coding, 473 pseudogenes, 46 retrotransposed, 2,359 non-coding RNA (snRNA, snoRNA, etc.), 4,121 splice variants in 2,862 genes and a total of 12,324 Novel Transcript Regions (NTR). After re-annotation, the total unique genes increased from 11,961 to 16,281 and 1.9% of them belonged to a large olfactory receptor (OR) gene family. Quality control of EMPV1 was performed using porcine cumulus–oocyte complexes (COC) as well as early developmental stages of embryos. This revealed an even distribution of ten clusters of spike-in control spots and array to array (dye-swap) correction was 0.97. Further bioinformatics analysis revealed that our microarray probes hybridized with more developmental related transcripts from embryonic labelled targets when compared to COC. Conclusions Using next-generation deep sequencing we have produced a large EST dataset to provide the selection of probe sequences for the development of the EMPV1 microarray platform. The quality of this embryo- specific array was confirmed with the high level of reproducibility using current Agilent microarray technology. Despite the current limitations for full NTR annotation, due to the incomplete porcine genome sequencing project, a significant number of NTR were annotated using Version 10 of porcine genome and human RefSeq RNA database to enrich the orthologous genes with unique gene symbol (GS) for Gene Ontology (GO) search. GO terms confirmed that many are related relevant developmental processes. With more than an estimated 20 thousands unique genes represented on the EMPV1, this platform will provide the foundation for future research into the in vivo and in vitro factors that affect the viability of the porcine embryos, as well as the effects of these factors on the live offspring that result from these embryos. Two biological samples.
Project description:Determining immediate-early response genes to FGF18 treatment. Cells treated for 2 h vs non-treated cells. Three biological replicates.
Project description:IVP blastocysts exposed to hyperglycaemia during early phase of development, i.e from zygote to 8-16 cells stages. Genes expression analysis is done at day 7.5 (7 days of embryo culture). Total RNA form glucose treated blastocysts (4 replicates of 10 embryos each) and control treated blastocysts (4 replicates of 10 embryos each) were compared on a 2-color micro-array design and dye swap.
Project description:The main objective of superovulatory treatment is to achieve multiple ovulations and produce multiple embryos. The technique is intended to rescue a cohort of follicles within a follicular wave that would otherwise regress. Superstimulory treatments change the intra-follicular and systemic hormonal milieu, but it is not clear how and to what extent treatment alters gene expression of follicular cells. In this study, a genome-wide bovine oligo-microarray was used to compare the gene expression of granulosa cells from post-LH preovulatory dominant follicle with those from follicles of the same status after superstimulatory treatment. Cows were allocated randomly to two groups (superstimulation group and control group, n=6 cows per group). A new follicular wave was induced by transvaginal ultrasound-guided ablation of follicles ?5 mm in diameter, and a progesterone-releasing device (CIDR) was placed in vagina. The superstimulation group was given eight doses of 25 mg FSH im at 12-h intervals starting from the day of wave emergence (Day 0), whereas the control group was not given any FSH treatment. Both groups were given prostaglandin F2? im twice, 12 h apart, on Day 3 and the CIDR was removed at the second injection; 25 mg pLH was given im 24 h after CIDR removal, and cows were ovariectomized 24 h later. Granulosa cells were collected for RNA extraction, amplification and microarray hybridization. To translate microarray results to a physiological context, a list of differentially expressed transcripts were biologically annotated. A total of 190 genes were down-regulated and 280 genes were up-regulated in superstimulated group when compared with the reference (non-superstimulated control) group. straight comparison of superstimulation group (the treatment; group 1) versus non-superstimulated ( the reference; group 4) using 3 different aninals (biological replicates) in each group and performed dye swap. For example on array 1: group1 cow 1 versus group 4 cow 1 (cy3 vs cy5) and on array 4 is the dey swap group 4 cow 1 versus group 1 cow 1 (cy3 vs cy5).