RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia

Objective: Using high-throughput RNA sequencing technology, this study aimed to sequence the transcriptome of kidney and liver tissues harvested from Peninsular Malaysia cynomolgus macaque (Macaca fascicularis). M. fascicularis are signifcant nonhuman primate models in the biomedical feld, owing to...

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Main Authors: Joey, Ee Uli, Christina Yong, Seok Yien, Yeap, Swee Keong, Noorjahan Banu, Alitheen, Jefrine J., Rovie‑Ryan, Nurulfza, Mat Isa, Tan, Soon Guan
Format: Article
Language:English
Published: BioMed Central 2018
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Online Access:http://ir.unimas.my/id/eprint/36044/1/liver1.pdf
http://ir.unimas.my/id/eprint/36044/
https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-018-4014-1
https://doi.org/10.1186/s13104-018-4014-1
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Institution: Universiti Malaysia Sarawak
Language: English
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Summary:Objective: Using high-throughput RNA sequencing technology, this study aimed to sequence the transcriptome of kidney and liver tissues harvested from Peninsular Malaysia cynomolgus macaque (Macaca fascicularis). M. fascicularis are signifcant nonhuman primate models in the biomedical feld, owing to the macaque’s biological similarities with humans. The additional transcriptomic dataset will supplement the previously described Peninsular Malaysia M. fascicularis transcriptomes obtained in a past endeavour. Results: A total of 75,350,240 sequence reads were obtained via Hi-seq 2500 sequencing technology. A total of 5473 signifcant diferentially expressed genes were called. Gene ontology functional categorisation showed that cellular process, catalytic activity, and cell part categories had the highest number of expressed genes, while the metabolic pathways category possessed the highest number of expressed genes in the KEGG pathway analysis. The additional sequence dataset will further enrich existing M. fascicularis transcriptome assemblies, and provide a dataset for further downstream studies