Chicken RNA-seq time-series of the development of seven major organs
Ontology highlight
ABSTRACT: This dataset covers the development of 7 organs (brain, cerebellum, heart, kidney, liver, ovary and testis) from day 10 post-conception to day 155 post-hatch.
Project description:This dataset covers the development of 7 organs (brain, cerebellum, heart, kidney, liver, ovary and testis) from embryonic day 13.5 to adulthood.
Project description:This dataset covers the development of 7 organs (brain, cerebellum, heart, kidney, liver, ovary and testis) from 4 weeks post conception to adulthood (including ageing).
Project description:This dataset covers the development of 7 organs (brain, cerebellum, heart, kidney, liver, ovary and testis) from embryonic day 10.5 to adulthood.
Project description:This dataset covers the development of 7 organs (brain, cerebellum, heart, kidney, liver, ovary and testis) from embryonic day 11 to adulthood.
Project description:This dataset covers the development of 7 organs (brain, cerebellum, heart, kidney, liver, ovary and testis) from embryonic day 12 to adulthood.
Project description:This dataset covers the development of 6 organs (brain, cerebellum, heart, kidney, liver and testis) from embryonic day 93 to adulthood.
Project description:The developmental transition to motherhood requires gene expression changes that alter the brain to prepare and drive the female to perform maternal behaviors. Furthermore, it is expected that the many physiological changes accompanying pregnancy and postpartum stages will impact brain gene expression patterns. To understand how extensive these gene expression changes are, we examined the global transcriptional response broadly, by examining four different brain regions: hypothalamus, hippocampus, neocortex, and cerebellum. Further, to understand the time course of these changes we performed RNA-sequencing analyses on mRNA derived from virgin females, two pregnancy time points and three postpartum time points. We find that each brain region and time point shows a unique molecular signature, with only 49 genes differentially expressed in all four regions, across the time points. Additionally, several genes previously implicated in underlying postpartum depression change expression. This study serves as a comprehensive atlas of gene expression changes in the maternal brain in the cerebellum, hippocampus, hypothalamus, and neocortex. At each of the time points analyzed, all four brain regions show extensive changes, suggesting that pregnancy, parturition, and postpartum maternal experience substantially impacts diverse brain regions. Libraries were prepared from three independent biological replicates, mRNA for each biological replicate was derived from a single mouse brain, with each mouse brain being used to collect all four brain regions.
Project description:Amyotrophic lateral sclerosis (ALS) is an adult-onset neurodegenerative disease characterized by motor neuron degeneration. MATR3 is an ALS-linked gene that encodes an RNA-binding protein that is involved in alternative splicing regulation. S85C is the most commonly identified mutation in MATR3. We generated MATR3 S85C knock-in mice (of the C57BL/6 background) as a model to study ALS pathogenesis and we found that homozygous S85C mice begin to show phenotypes at around 10 weeks of age. To investigate the molecular changes that may contribute to the behavioural deficits and neurodegeneration observed in homozygous S85C mice, we performed RNA-seq on cortex, cerebellum and lumbar spinal cord tissue of wild-type, heterozygous and homozygous S85C mice (4 females per genotype) at the early symptomatic stage (8-10 weeks old). Total RNA was extracted and sent to SickKids TCAG core for mRNA library preparation, which were paired end (100 bp in length) sequenced on the Illumina NovaSeq S1 flow cell. The data obtained was aligned to mouse genome (mm10) using STAR aligner (v2.6.0), and paired-end reads mapping to exonic regions were counted using featureCounts (v1.6.3). Differential gene expression was analyzed using edgeR.
Project description:Transcriptional profiling was carried out on lung and ileum samples at 1dpi and 3dpi from chickens infected with either low pathogenic (H5N2) or highly pathogenic (H5N1) avian influenza. Infected birds were compared to control birds at each time point.
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.