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
id my.unimas.ir.36044
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spelling my.unimas.ir.360442021-09-08T07:46:36Z http://ir.unimas.my/id/eprint/36044/ RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia Joey, Ee Uli Christina Yong, Seok Yien Yeap, Swee Keong Noorjahan Banu, Alitheen Jefrine J., Rovie‑Ryan Nurulfza, Mat Isa Tan, Soon Guan QL Zoology SF Animal culture 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 BioMed Central 2018-12-22 Article PeerReviewed text en http://ir.unimas.my/id/eprint/36044/1/liver1.pdf Joey, Ee Uli and Christina Yong, Seok Yien and Yeap, Swee Keong and Noorjahan Banu, Alitheen and Jefrine J., Rovie‑Ryan and Nurulfza, Mat Isa and Tan, Soon Guan (2018) RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia. BioMed Central, 11 (923). pp. 1-6. ISSN 1756-0500 https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-018-4014-1 https://doi.org/10.1186/s13104-018-4014-1
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QL Zoology
SF Animal culture
spellingShingle QL Zoology
SF Animal culture
Joey, Ee Uli
Christina Yong, Seok Yien
Yeap, Swee Keong
Noorjahan Banu, Alitheen
Jefrine J., Rovie‑Ryan
Nurulfza, Mat Isa
Tan, Soon Guan
RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia
description 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
format Article
author Joey, Ee Uli
Christina Yong, Seok Yien
Yeap, Swee Keong
Noorjahan Banu, Alitheen
Jefrine J., Rovie‑Ryan
Nurulfza, Mat Isa
Tan, Soon Guan
author_facet Joey, Ee Uli
Christina Yong, Seok Yien
Yeap, Swee Keong
Noorjahan Banu, Alitheen
Jefrine J., Rovie‑Ryan
Nurulfza, Mat Isa
Tan, Soon Guan
author_sort Joey, Ee Uli
title RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia
title_short RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia
title_full RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia
title_fullStr RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia
title_full_unstemmed RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia
title_sort rna sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (macaca fascicularis) originating from peninsular malaysia
publisher BioMed Central
publishDate 2018
url 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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