Evolutionary and ontogenetic changes in RNA editing in human, chimpanzee and macaque brains
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA193311 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR786425_1.fastq.gz | Fastqsanger.gz | |||
| SRR786425_2.fastq.gz | Fastqsanger.gz | |||
| SRR786426_1.fastq.gz | Fastqsanger.gz | |||
| SRR786426_2.fastq.gz | Fastqsanger.gz | |||
| SRR786427_1.fastq.gz | Fastqsanger.gz |
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Project description:we used RNA-Seq to quantify the RNA editing level at more than 8,000 previously annotated exonic A-to-I RNA editing sites in two brain regions - prefrontal cortex and cerebellum - of humans, chimpanzees and rhesus macaques. We observed substantial conservation of RNA editing levels between the brain regions, as well as among the three primate species. Evolutionary changes in RNA editing were nonetheless evident among the species. Across lifespan, we observed an increase of the RNA editing level with advanced age in both brain regions of all three primate species. poly(A) enriched RNAs extracted from pooled samples of two brain regions: CBC and PFC of chimpanzee and macaque, fragmented, revers transcribed to double-stranded cDNA using random hexamers. Sequencing libraries were prepared according to the paired-end non-strand-specific sample preparation protocol of Illumina. Each sample was sequenced in a separate lane in the Illumina Genome Analyzer II system, using the 75-bp paired-end sequencing protocol. human data was downloaded from SRA [SRP005169]
2014-01-07 | E-GEOD-45244 | biostudies-arrayexpress
Project description:Adenosine-to-inosine (A-to-I) substitutions are the most common type of RNA editing in mammals. A-to-I RNA editing is particularly widespread in the brain and is known to play important roles in neuronal functions. In this study we investigated RNA-editing changes during human brain development and maturation, as well as evolutionary conservation of RNA-editing patterns across primates. We used high-throughput transcriptome sequencing (RNA-seq) to quantify the RNA-editing levels and assess ontogenetic dynamics of RNA editing at more than 8000 previously annotated exonic A-to-I RNA-editing sites in two brain regions--prefrontal cortex and cerebellum--of humans, chimpanzees, and rhesus macaques. We observed substantial conservation of RNA-editing levels between the brain regions, as well as among the three primate species. Evolutionary changes in RNA editing were nonetheless evident, with 40% of the annotated editing sites studied showing divergent editing levels among the three species and 16.5% of sites displaying statistically significant human-specific editing patterns. Across lifespan, we observed an increase of the RNA-editing level with advanced age in both brain regions of all three primate species.
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Project description:we used RNA-Seq to quantify the RNA editing level at more than 8,000 previously annotated exonic A-to-I RNA editing sites in two brain regions - prefrontal cortex and cerebellum - of humans, chimpanzees and rhesus macaques. We observed substantial conservation of RNA editing levels between the brain regions, as well as among the three primate species. Evolutionary changes in RNA editing were nonetheless evident among the species. Across lifespan, we observed an increase of the RNA editing level with advanced age in both brain regions of all three primate species.
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Project description:Evolutionary Significance of DNA Methylation in Human and Chimpanzee Brains
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Project description:We performed deep strand-specific sequencing of poly-adenylated RNA (polyA+ RNAseq) from human, chimpanzee, macaque and mouse tissues, with the goal of detecting numerous non-annotated poorly expressed and antisense genes. We identified thousands of annotated and novel genes, especially in testis. We discovered that ~2% of the human and chimpanzee multiexonic genes were specific from such species. We generated RNA-Seq data (∼2.10 billion paired-end reads, 25-100 bp length) for the polyadenylated RNA fraction of brain (cerebral cortex), heart, liver and testis. In human and chimpanzee, we generated 2 samples per tissue corresponding to different individuals. In macaque, only 1 sample per tissue was generated. In mouse, considered as the evolutionary outgroup, we generated three pools of brain samples, and one pool of heart, liver and testis samples. We generated an additional sample in Testis without including reverse transcriptase as a control of DNA contamination.
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