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- Large-scale transcriptome sequencing and gene analyses in the crab-eating macaque (macaca fascicularis) for biomedical research = 게잡이 원숭이의 대량 전사체 및 유전자 분석
- Jae Won Huh; Young-Hyun Kim; Sang Je Park; Dae Soo Kim; Sang Rae Lee; Kyeong Min Kim; Kang Jin Jeong; Ji Su Kim; Bong Seok Song; Bo Woong Sim; Sun-Uk Kim; Sang-Hyun Kim; Kyu Tae Chang
- Bibliographic Citation
- BMC Genomics, vol. 13, pp. 163-163
- Publication Year
- Background: As a human mimic, the crab-eating macaque (Macaca fascicularis) is an invaluable non-human primate model for biomedical research, but the lack of genetic information on this primate has represented a significant obstacle for its broader use. Results: Here, we sequenced the transcriptome of 16 tissues and identified genes to resolve the main obstacles for understanding the biological response of the crab-eating macaque. From 4 million reads with 1.4 billion base sequences, 31,786 isotigs containing genes similar to those of humans, 12,672 novel isotigs, and 348,160 singletons were identified using the GS FLX sequencing method. Approximately 86% of human genes were represented among the genes sequenced in this study. Additionally, 175 tissue-specific genes were identified, 81 of which were experimentally validated. In total, 4,314 alternative splicing (AS) events were identified and analyzed. Intriguingly, 10.4% of AS events were associated with transposable element (TE) insertions. Finally, investigation of TE exonization events and evolutionary analysis were conducted, revealing interesting phenomena of human-specific amplified trends in TE exonization events. Conclusions: This report represents the first large-scale transcriptome sequencing and genetic analyses of M. fascicularis and could contribute to its utility for biomedical research and basic biology.
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- Ochang Branch Institute > Division of National Bio-Infrastructure > National Primate Research Center > 1. Journal Articles
Jeonbuk Branch Institute > Primate Resources Center > 1. Journal Articles
Ochang Branch Institute > Division of National Bio-Infrastructure > Futuristic Animal Resource & Research Center > 1. Journal Articles
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