A Transcriptomic and Proteomic Atlas of Obesity and Type 2 Diabetes in Cynomolgus Monkeys
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ABSTRACT:
PROVIDER: PRJNA778752 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16865300_1.fastq.gz | Fastqsanger.gz | |||
| SRR16865300_2.fastq.gz | Fastqsanger.gz | |||
| SRR16865400_1.fastq.gz | Fastqsanger.gz | |||
| SRR16865400_2.fastq.gz | Fastqsanger.gz | |||
| SRR16865500_1.fastq.gz | Fastqsanger.gz |
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Project description:Cynomolgus monkeys are well-established translational models for biomedical research and drug testing. Cynomolgus monkeys are outbred species and exhibit substantial levels of genetic variation which can affect the outcome and interpretation of biomedical studies. Copy number variations (CNVs) are a significant source of genetic diversity and a comprehensive understanding of the genomic impact of CNVs on phenotypic traits is limited. A custom 4.2 million probes comparative genomic hybridization (CGH) array (Design-ID: 120405_Cynomolgus5_CGH_UX1) has been designed on the basis of the Cynomolgus monkey genome (Ebeling et al. (2011) Genome Research; PMID: 21862625) to assess genome-wide copy number variation among Cynomolgus monkeys. Using Cynomolgus monkey specific NimbleGen CGH Microarrays we profiled the genomes of 21 Cynomolgus monkeys. Germline DNA from 21 Cynomolgus monkeys with different origin was tested against a Cynomolgus monkey reference. Cynomolus monkey samples were derived from breeding centers located in the Philippines (3 females and 3 males), in Vietnam (2 males and 2 females), in China for animals from Mainland Southeast Asia (3 females), or in Mauritius (4 females and 4 males). Furthermore genome-wide expression profiles were analyzed in 5 vitally important tissue samples (heart, kidney, liver, lung, spleen) from the same animals using a custom Cynomolgus monkey specific NimbleGen gene expression microarray (design ID: 120419_Cynomolgus_v5_TH_exp_HX12) to associate CNV genotypes with expression changes of proximal genes using a cis expression quantitative trait loci (cis-eQTL) mapping approach. Expression data have been deposited at the NCBI Gene Expression Omnibus (GEO) under accession numbers GSE76560. The array CGH results analyzed in this study are further described in Gschwind A.R. et al. (2016) "Diversity and regulatory impact of copy number variation in the primate Macaca fascicularis". under submission
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