Opossum 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 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 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 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 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 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 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:Schizophrenia (SCZ) is a common, disabling mental illness with high heritability but complex, poorly understood genetic etiology. As the first phase of a genomic convergence analysis of SCZ, we generated 16.7 billion nucleotides of short read, shotgun sequences of cDNA from post-mortem cerebellar cortices of 14 patients and six matched controls. A rigorous analysis pipeline was developed for analysis of digital gene expression studies. Sequences aligned to approximately 33,200 transcripts in each sample, with average coverage of 450 reads per gene. Following adjustments for confounding clinical, sample and experimental sources of variation, 215 genes differed significantly in expression between cases and controls. Golgi apparatus, vesicular transport, membrane association, Zinc binding and regulation of transcription were over-represented among differentially expressed genes. Twenty three genes with altered expression and involvement in presynaptic vesicular transport, Golgi function and GABAergic neurotransmission define a unifying molecular hypothesis for dysfunction in cerebellar cortex in SCZ. Experiment Overall Design: 16.7 billion nucleotides of shotgun, full length cDNA sequence data were generated using Illumina Genome Analyzer platforms with sequencing-by-synthesis (SBS) chemistry from 20 mRNA samples (Lister et al., 2008; Morin et al., 2008)(Mortazvi et al., 2008). mRNA samples were isolated post-mortem from the lateral hemispheres of the cerebellar cortices of 14 patients with SCZ and 6 control individuals (Paz et al., 2006; Bullock et al., In Press)(Table 1). Unrelated subjects were chosen to facilitate sampling of genetic heterogeneity (Freimer and Sabatti, 2004; McClellan et al., 2007). Cases and controls were approximately matched for age (cases, 45.2 + 11.8 years; controls 41.3 + 9.2 years), sex (all male), race, post-mortem interval (cases, 12.2 + 5.0 hours; controls 17.7 + 3.3 hours), cause of death, autopsy brain pH (cases, 6.54 + 0.19; controls 6.46 + 0.10) and RNA integrity number (cases, 8.06 + 0.53; controls, 7.87 + 0.41) (Table 1). 12.5 – 38.7 million, high quality sequences of length 32 – 36 bp were generated per sample (Table 2). Sequences were aligned to the human genome and RefSeq transcript databases using the algorithm GMAP, which allowed < 2 (< 6%) mismatches (Wu and Watanabe, 2005). There was little intra-sample variability in the number of sequences aligned to each locus from run-to-run or instrument-to-instrument (Fig. 1A; all source coefficient of variation 3.4%). 43.5 + 6.7% of sequences aligned to a transcript and 69.4 + 9.6% to the genome, evidence that annotation of mRNA isoforms in Homo sapiens is incomplete (Birney et al., 2007) (Table 2). 91% of alignments were unique (Table 2). Reads aligning to more than one location contained repetitive, paralogous, polymorphic or low complexity sequences and primarily mapped to untranslated regions or highly polymorphic gene families, such as major histocompatibility genes (Sugarbaker et al., 2008). Unmapped sequences did not align to mitochondrial or 1879 viral genomes, offering negative evidence of chronic viral etiology for SCZ in these patients.
Project description:Using RNA sequencing to map differentially expressed genes in human brain microvascular endothelial cells challenged with Neisseria meningitidis or its ligand MafA .