Ontology highlight
ABSTRACT:
PROVIDER: PRJNA728451 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14475300_1.fastq.gz | Fastqsanger.gz | |||
| SRR14475300_2.fastq.gz | Fastqsanger.gz | |||
| SRR14475301_1.fastq.gz | Fastqsanger.gz | |||
| SRR14475301_2.fastq.gz | Fastqsanger.gz | |||
| SRR14475302_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 16 |
Similar Datasets
Project description:The egg production cycle of broiler breeder hens is comparatively shorter than laying hens, and as they age, their egg production and eggshell quality decline. The eggshell formation occurs in the shell glands, which are influenced by several factors, including aging. The objectives of the study were to 1) identify differentially expressed genes (DEGs) and biological pathways in the shell glands (young vs aged) and 2) determine the age-associated changes in eggshell quality. The shell glands tissues were collected from broiler breeder hens at peak-lay (35 weeks of age; termed as “young”) and late-lay phases (50 weeks of age; termed as “aged”) (n=30/group) at 10-15 hours post-ovulation (unclassified egg present in the shell glands). To delineate the genes and biological pathways associated with eggshell biomineralization, total RNAs extracted from the shell glands of young and aged hens (n=6/group) were analyzed using RNA sequencing and validated using real-time PCR. The ultrastructure quality of eggshells (n=10 eggs/group) was analyzed using a Scanning Electron Microscope (SEM), and the elemental composition of eggshells was measured using SEM-Energy Dispersive Spectrometry, and their variability was confirmed by t-test in RStudio. Eggshell strength, thickness, palisade layer, and mammillary width were significantly higher in the young, while mammillary knobs were wider in aged hens (p<0.05). The sulfur and potassium levels in eggshells were higher in young hens than aged ones. Although the young group had a higher calcium concentration in the eggshells, the difference was statistically insignificant (p>0.05). RNA-Seq data identified highly upregulated genes specific to eggshell biomineralization, such as SPP1 (binds to hydroxyapatite), OTOP2 (maintains high conc. of cytosolic Ca2+), PKD2 (helps in releasing Ca2+), SLC22A15 (transports organic ions), and STAB2 (binds to gram-positive and gram-negative bacteria). The DEGs showed significant enrichment for biological pathways (SLC6A6, KCNK7, UCP3, SCNN1A, PKD2, OTOP2) associated with the transport of monoatomic and inorganic cations across the cell membrane, molecular functions related to the transport of potassium ions and the activity of monoatomic cation channels (KCNK7, PKD2, OTOP2), and the cellular components involved in the luminal side of the endoplasmic reticulum membrane (CALR, PKD2). These findings suggest that the aging process downregulates the transcriptomes of the shell glands, negatively impacting the transportation of ions required for eggshell formation, resulting in poor eggshell quality.
2025-05-12 | GSE296109 | 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:Our study investigated the differences of uterine transcriptome in laying hen holding a high or low breaking strength shell. The eggshell calcification periods are divided into three periods, namely initiation, growth and termination periods respectively. The large differences in the transcriptome proved that the initiation period of calcification determine eggshell strength.
2019-03-07 | GSE127974 | GEO
Project description:In this study, RNA-Seq technology was adopted to investigate the differences in expression profiles of the hepatic lipid metabolism-related genes and the associated pathways between juvenile and laying hens. RNA-Seq analysis was carried out to estimate total RNA harvested from the liver of juvenile hens (n = 3) and laying hens (n = 3). Compared with juvenile hens, 2574 differentially expressed (DE) genes (1487 down and 1087 up) with P ⤠0.05 were obtained, and 955 of these genes were significantly DE (SDE) at a false discovery rate (FDR) of 0.05 and fold-change ⥠2 in laying hens. There were 198 SDE novel genes (107 down-regulated and 91 up-regulated) (FDR ⤠0.05) that were obtained from the transcriptome, and most of them were highly expressed. Moreover, 332 SDE isoforms were identified. Gene Ontology (GO) enrichment and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis showed that SDE genes were significantly associated with steroid biosynthesis, PPAR signaling pathway, biosynthesis of unsaturated fatty acids, glycerophospholipid metabolism, three amino acid pathways, and pyruvate metabolism (P ⤠0.05). The top significantly enriched GO terms included lipid biosynthesis, cholesterol and sterol metabolic, and oxidation reduction suggesting the principal lipogenesis in the liver of laying hens. This study suggests that the major changes at the level of transcriptome in laying hen liver are closely related to fat metabolism. Some highly differentially expressed uncharacterized novel genes and alternative splicing isoforms detected might also take part in lipid metabolism, though it needs investigation. Therefore, this study provides valuable information of mRNA of chicken liver, and deeper functional investigations on the mRNAs could help explore or provide new insights into molecular networks of lipid metabolism in chicken liver. The liver expression profile of juvenile hens and laying hens were generated by RNA-seq.
2016-01-08 | E-GEOD-70010 | biostudies-arrayexpress
Project description:In this study, RNA-Seq technology was adopted to investigate the differences in expression profiles of the hepatic lipid metabolism-related genes and the associated pathways between juvenile and laying hens. RNA-Seq analysis was carried out to estimate total RNA harvested from the liver of juvenile hens (n = 3) and laying hens (n = 3). Compared with juvenile hens, 2574 differentially expressed (DE) genes (1487 down and 1087 up) with P ≤ 0.05 were obtained, and 955 of these genes were significantly DE (SDE) at a false discovery rate (FDR) of 0.05 and fold-change ≥ 2 in laying hens. There were 198 SDE novel genes (107 down-regulated and 91 up-regulated) (FDR ≤ 0.05) that were obtained from the transcriptome, and most of them were highly expressed. Moreover, 332 SDE isoforms were identified. Gene Ontology (GO) enrichment and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis showed that SDE genes were significantly associated with steroid biosynthesis, PPAR signaling pathway, biosynthesis of unsaturated fatty acids, glycerophospholipid metabolism, three amino acid pathways, and pyruvate metabolism (P ≤ 0.05). The top significantly enriched GO terms included lipid biosynthesis, cholesterol and sterol metabolic, and oxidation reduction suggesting the principal lipogenesis in the liver of laying hens. This study suggests that the major changes at the level of transcriptome in laying hen liver are closely related to fat metabolism. Some highly differentially expressed uncharacterized novel genes and alternative splicing isoforms detected might also take part in lipid metabolism, though it needs investigation. Therefore, this study provides valuable information of mRNA of chicken liver, and deeper functional investigations on the mRNAs could help explore or provide new insights into molecular networks of lipid metabolism in chicken liver.
2016-01-08 | GSE70010 | GEO
Project description:We used a transcriptomic approach based on the comparison of the expression between the liver of sexually mature hens versus pre-laying pullets to better appreciate which hepatic proteases and antiproteases are specifically expressed in relation to vitellogenesis. Using a 20K chicken oligoarray corresponding to 12 595 different chicken genes, a total of 582 genes were shown to be over-expressed in the liver at sexual maturity of hens (1.2 to 67 fold- difference). Most of the top ten over-expressed genes are known components of egg yolk or of the perivitelline membrane. The combination of different bioinformatic tools reveals 12 proteases and 3 antiproteases amongst the over-expressed genes, including many predicted proteins with yet unknown functions.
2012-04-01 | GSE35595 | GEO
Project description:We used a transcriptomic approach based on the comparison of the expression between the liver of sexually mature hens versus pre-laying pullets to better appreciate which hepatic proteases and antiproteases are specifically expressed in relation to vitellogenesis. Using a 20K chicken oligoarray corresponding to 12 595 different chicken genes, a total of 582 genes were shown to be over-expressed in the liver at sexual maturity of hens (1.2 to 67 fold- difference). Most of the top ten over-expressed genes are known components of egg yolk or of the perivitelline membrane. The combination of different bioinformatic tools reveals 12 proteases and 3 antiproteases amongst the over-expressed genes, including many predicted proteins with yet unknown functions. 8 samples of each condition( liver of 38 weeks old mature hens and of 10 weeks old immature pullets) were analysed, with an experimental design in dye switch (half of the slides labeled with fluorophore Alexa 555 and half with Alexa 647 for each condition)
2012-03-31 | E-GEOD-35595 | biostudies-arrayexpress
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:In this study, we employed proteomics to investigate the differences between the uteruses of laying hens with high- or low-breaking-strength shells.
2020-09-14 | PXD021449 |