Ontology highlight
ABSTRACT:
PROVIDER: PRJNA523900 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8613931_1.fastq.gz | Fastqsanger.gz | |||
| SRR8613931_2.fastq.gz | Fastqsanger.gz | |||
| SRR8613932_1.fastq.gz | Fastqsanger.gz | |||
| SRR8613932_2.fastq.gz | Fastqsanger.gz | |||
| SRR8613933_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
Similar Datasets
Project description:The aim of this study was to assess the impact of oocyte competence on subsequent fertility. Based on knowledge already accessible in mammals and on bioinformatics tools including the chicken genome sequence, we focused on the expression of genes involved in the processes of fertilization and of early embryo development. A differential kinetic study is performed on INRA lines selected on the basis of their fertility potential in purpose of hopefully access gene markers of fertility performance. We use 4 different hen lines:; - one line of laying hens with 3 different samples: the just ovulated oocyte, the oocyte collected 24 hours before ovulation (F1 stage), and granulosa cells collected at the F1 stage. We could compare different tissue and developmental stages. - one line of hen with rapid growth speed; - two lines of laying hens; For the 3 last lines we used animals with different fertility levels. We collected the oocyte of the largest follicle before ovulation (F1). The aim of the study is to identify genes involved in fertility or early embryo mortality. Experiment Overall Design: 6 arrays - Gallus gallus
2008-11-08 | E-GEOD-7805 | biostudies-arrayexpress
Project description:The aim of this study was to assess the impact of oocyte competence on subsequent fertility. Based on knowledge already accessible in mammals and on bioinformatics tools including the chicken genome sequence, we focused on the expression of genes involved in the processes of fertilization and of early embryo development. The study was performed using two complementary approaches: a descriptive study of standard laying hens and then a differential study performed with hens from experimental lines expressing broad variations of achieved fertility (approximately 20 per cent). A differential kinetic study is performed on INRA lines selected on the basis of their fertility potential in purpose of hopefully access gene markers of fertility performance. Keywords: oocyte competence, fertility
2008-03-01 | GSE10231 | GEO
Project description:The aim of this study was to assess the impact of oocyte competence on subsequent fertility. Based on knowledge already accessible in mammals and on bioinformatics tools including the chicken genome sequence, we focused on the expression of genes involved in the processes of fertilization and of early embryo development. A differential kinetic study is performed on INRA lines selected on the basis of their fertility potential in purpose of hopefully access gene markers of fertility performance. We use 4 different hen lines: - one line of laying hens with 3 different samples: the just ovulated oocyte, the oocyte collected 24 hours before ovulation (F1 stage), and granulosa cells collected at the F1 stage. We could compare different tissue and developmental stages. - one line of hen with rapid growth speed - two lines of laying hens For the 3 last lines we used animals with different fertility levels. We collected the oocyte of the largest follicle before ovulation (F1). The aim of the study is to identify genes involved in fertility or early embryo mortality. Keywords: normal vs disease comparison
2007-07-31 | GSE7805 | GEO
Project description:Duration of fertility, (DF) is an important functional trait in poultry production and lncRNAs have emerged as important regulators of various process including fertility. In this study we applied a genome-guided strategy to reconstruct the uterovaginal junction (UVJ) transcriptome of 14 egg-laying birds with long- and short-DF (n = 7); and sought to uncover key lncRNAs related to duration of fertility traits by RNA-sequencing technology. Examination of RNA-seq data revealed a total of 9977 lncRNAs including 2576 novel lncRNAs. Differential expression (DE) analysis of lncRNA identified 223 lncRNAs differentially expressed between the two groups. DE-lncRNA target genes prediction uncovered over 200 lncRNA target genes and functional enrichment tests predict a potential function of DE-lncRNAs. Gene ontology classification and pathway analysis revealed 8 DE-lncRNAs, with the majority of their target genes enriched in biological functions such as reproductive structure development, developmental process involved in reproduction, response to cytokine, carbohydrate binding, chromatin organization, and immune pathways. Differential expression of lncRNAs and target genes were confirmed by qPCR. Together, these results significantly expand the utility of the UVJ transcriptome and our analysis identification of key lncRNAs and their target genes regulating DF will form the baseline for understanding the molecular functions of lncRNAs regulating DF.
2018-02-14 | GSE101163 | GEO
Project description:Purpose: With the advent of Next-generation sequencing (NGS), several novel genes/proteins and cellular pathways in wide variety of tissues has been discovered. The aim of this study are to perform uterine transcriptome profiling (RNA-seq) to determine differently expressed genes in laying and non-laying hens and to further validate the expression of candidate genes using real-time quantitative reverse transcription polymerase chain reaction (qRT–PCR) in laying, non-laying and molting hens. Methods: Uterine mRNA profiles of 35-60 weeks-old laying and non-laying hens, three each, were generated with NextSeq 500 sequencer in single-end mode with a read length of 1x76 bp. Raw sequencing reads were cleaned and trimmmed with Prinseq tool and good reads were aligned against the chicken reference gemone (Galgal 5.0) in Array Studio. Differential gene expression analysis was performed by the DESeq2 algorithm as implemented in Array Studio. The genes with at least two-fold change (FC) and Benjamini and Hochberg q-value < 0.05 were called differentially expressed. Results: Using an optimized data analysis workflow, we mapped about 32 million reads from layers and 28 million reads from non-layers to the chicken genome. A total of 19,152 gene transcripts were annotated from Ensembl alignment which represents 50.24% of the chicken genome assembly. Differential gene expression analysis showed 616 were differentially expressed between layer and non-layer hens. 229 DEGs were significantly up-regulated and 286 were significantly down-regulated in the laying hens when compared to the non-laying hens. Twelve candiate genes, linked to calcium remodeling, were identified by gene function analysis and validated using qPCR. MEPE, CALCB, OTOP2, STC2 and ATP2C2 were confirmed to be highly expressed in laying hens as compared to molting and non-laying hens. RNA-seq and qPCR data for relative gene expression were highly correlated (R2 =0.99). Conclusions: Our study reports the expression of four novel genes that are speculated to transport calcium ions across the uterine epithellium for eggshell mineralization. These genes can be used as quantitative basis of selecting hens with an improved eggshell quality.
2018-12-06 | GSE114103 | GEO
Project description:Purpose: With the advent of Next-generation sequencing (NGS), several novel genes/proteins and cellular pathways in wide varitey of tissues has discovered. The aim of this study are to perform transcriptome profiling (RNA-seq) of magnum to determine differently expressed genes in laying and non-laying hens and to further validate the expression of candidate genes using real-time quantitative reverse transcription polymerase chain reaction (qRT–PCR) in laying, non-laying and molting hens. Methods: Magnum mRNA profiles of 35-60 weeks-old laying and non-laying hens, three each, were generated with NextSeq 500 sequencer in single-end mode with a read length of 1x76 bp. Raw sequencing reads were cleaned and trimmmed with Prinseq tool and good reads were aligned against the chicken reference gemone (Galgal 5.0) in Array Studio. Differential gene expression analysis was performed by the DESeq2 algorithm as implemented in Array Studio. The genes with at least three-fold change (FC) and Benjamini and Hochberg q-value < 0.05 were called differentially expressed. Results: Using an optimized data analysis workflow, we mapped about 30.5 million reads from layers and 33.4 million reads from non-layers to the chicken genome. A total of 19,152 gene transcripts were annotated from Ensembl alignment which represents 50.24% of the chicken genome assembly. Differential gene expression analysis showed 540 were differentially expressed between layer and non-layer hens. 152 DEGs were significantly up-regulated and 388 were significantly down-regulated in the laying hens when compared to the non-laying hens. Conclusions: Our study reports the expression of several pre-discovered and many novel genes that may be involved in the transport of precurosor molecules for biosynthesis and secretion of the egg-white proteins in the magnum. These genes can be used as quantitative basis of selecting hens with an improved egg quality.
2021-03-22 | GSE123588 | GEO
Project description:Transcriptome sequencing reveals key potential long non-coding RNAs related to duration of fertility trait in the uterovaginal junction of egg-laying hens
| PRJNA393834 | ENA