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

Content Provider	Springer Nature : BioMed Central
Author	Ee Uli, Joey Yong, Christina Seok-Yien Yeap, Swee Keong Alitheen, Noorjahan Banu Rovie-Ryan, Jeffrine J. Mat Isa, Nurulfiza Tan, Soon Guan
Abstract	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 significant nonhuman primate models in the biomedical field, 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 significant differentially 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.
Related Links	https://bmcresnotes.biomedcentral.com/counter/pdf/10.1186/s13104-018-4014-1.pdf
Ending Page	6
Page Count	6
Starting Page	1
File Format	HTM / HTML
ISSN	17560500
DOI	10.1186/s13104-018-4014-1
Journal	BMC Research Notes
Issue Number	1
Volume Number	11
Language	English
Publisher	BioMed Central
Publisher Date	2018-12-22
Access Restriction	Open
Subject Keyword	Biomedicine Medicine Public Health Life Sciences Macaca fascicularis Cynomolgus macaque RNA sequencing Transcriptome Biomedical science Kidney Liver Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Biochemistry, Genetics and Molecular Biology Medicine
Journal Impact Factor	1.6/2023

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