2017
DOI: 10.7717/peerj.3566
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RNA sequencing (RNA-Seq) of lymph node, spleen, and thymus transcriptome from wild Peninsular Malaysian cynomolgus macaque (Macaca fascicularis)

Abstract: The cynomolgus macaque (Macaca fascicularis) is an extensively utilised nonhuman primate model for biomedical research due to its biological, behavioural, and genetic similarities to humans. Genomic information of cynomolgus macaque is vital for research in various fields; however, there is presently a shortage of genomic information on the Malaysian cynomolgus macaque. This study aimed to sequence, assemble, annotate, and profile the Peninsular Malaysian cynomolgus macaque transcriptome derived from three tis… Show more

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Cited by 6 publications
(12 citation statements)
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References 62 publications
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“…Preparation of M. fascicularis kidney and liver RNA-seq libraries followed methods previously described in Ee Uli et al [4]. Raw sequencing reads were submitted to NCBI Short Read Archive under accessions SRX2499144-SRX2499147.…”
Section: Methodsmentioning
confidence: 99%
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“…Preparation of M. fascicularis kidney and liver RNA-seq libraries followed methods previously described in Ee Uli et al [4]. Raw sequencing reads were submitted to NCBI Short Read Archive under accessions SRX2499144-SRX2499147.…”
Section: Methodsmentioning
confidence: 99%
“…Raw sequencing reads were submitted to NCBI Short Read Archive under accessions SRX2499144-SRX2499147. For data analyses, we used the same bioinformatic workflow and tools as depicted in our earlier publication [4]. Briefly, the assembly of raw sequence reads, normalisation, empirical analysis of differentially expressed genes (EDGE test), and gene ontology (GO) and KEGG pathway annotations were performed in CLC Genomics Workbench (CLCGW) version 7.5.1 (Qiagen Denmark), while functional classification of expressed genes in the kidney and liver transcriptomes was performed using Panther Database version 11.1 released on 2016-10-24 (http://pantherdb.org/) and DAVID Bioinformatics Resources version 6.8 (https://david-d.ncifcrf.gov/home.jsp).…”
Section: Methodsmentioning
confidence: 99%
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