Ttranscriptional profile of macrophage infected with different violent Mycobacterium tuberculosis strains by RNA-seq
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- 英文论文题名：Ttranscriptional profile of macrophage infected with different violent Mycobacterium tuberculosis strains by RNA-seq
- 论文作者：Xu Huan ; Li Fake ; Luo Jie ; Chen Ming
- 英文论文作者：Xu Huan ; Li Fake ; Luo Jie ; Chen Ming ; Third military medical university
- 年：2016
- 作者机构：Third military medical university;
- 英文论文关键词：Tuberculosis ; RNA-sequencing ; Macrophage
- 会议召开时间：2016-11-04
- 会议录名称：第十一届全国免疫学学术大会摘要汇编
- 英文会议录名称：Abstracts of 2016 CSI Congress on Immunology
- 语种：英文
- 分类号：R52
- 学会代码：IGMD
- 会议名称：第十一届全国免疫学学术大会
- 会议地点：中国安徽合肥
- 主办单位：中国免疫学会
- 学会名称：中国免疫学会
- 页数：1
- 文件大小：270k
- 原文格式：D
- 会议级别：全国
摘要
Background/Objective: Tuberculosis caused by Mycobacterium tuberculosis(MTB) remains a significant public health problem, which leads to 2 billion individuals and approximately 10 million new infections every year throughout the world. With the continually emerged multidrug-resistant(MDR) and extensively drug-resistant(XDR) TB, a comprehensive understanding of anti-TB immunity in the host is urgently needed. Transcriptomic analysis has potential to greatly increase our understanding of MTB infection, which reveals gene expression and the complex network of gene regulations at transcriptional level. However, the transcriptomic change of macrophage infected with different virulent MTB strains still poorly understood. Here, we studied the transcriptional profile of macrophage infected with H37 Rv and H37 Ra using RNA-Sequencing(RNA-seq). Methods: THP-1 cells were primed with PMA for 24 hours. Three groups were set, H37 Rv infection group, H37 Ra infection group and control group. Each group was treated for 1 hour, 4 hours, 12 hours, 24 hours and 48 hours. Then cells were harvested for RNAisolation. The sequencing library were prepared and sequenced in half lane in flowcell of Illumina Hiseq 3000 high throughput sequencer. Differentially expressed genes were identified using the edge R program. Results: Top four pathways involved in differentially expressed genes between H37 Rv and H37 Ra groups for 4h infection were: lipid metabolism, small molecule biochemistry, vitamin and mineral metabolism and cell death and survival signaling. Top four pathways between H37 Rv and H37 Ra groups for 24 h infection were: cell cycle, DNA replication, recombination, and repair, cell death and survival signaling. Only 1 pathway were common between 4h and 24 h MTB infection. Conclusions: Our study revealed the transcriptomic change of macrophage infected with different virulent MTB strains, which could help to gain a better understanding of the regulation system in MTB infection immunity.
Background/Objective: Tuberculosis caused by Mycobacterium tuberculosis(MTB) remains a significant public health problem, which leads to 2 billion individuals and approximately 10 million new infections every year throughout the world. With the continually emerged multidrug-resistant(MDR) and extensively drug-resistant(XDR) TB, a comprehensive understanding of anti-TB immunity in the host is urgently needed. Transcriptomic analysis has potential to greatly increase our understanding of MTB infection, which reveals gene expression and the complex network of gene regulations at transcriptional level. However, the transcriptomic change of macrophage infected with different virulent MTB strains still poorly understood. Here, we studied the transcriptional profile of macrophage infected with H37 Rv and H37 Ra using RNA-Sequencing(RNA-seq). Methods: THP-1 cells were primed with PMA for 24 hours. Three groups were set, H37 Rv infection group, H37 Ra infection group and control group. Each group was treated for 1 hour, 4 hours, 12 hours, 24 hours and 48 hours. Then cells were harvested for RNAisolation. The sequencing library were prepared and sequenced in half lane in flowcell of Illumina Hiseq 3000 high throughput sequencer. Differentially expressed genes were identified using the edge R program. Results: Top four pathways involved in differentially expressed genes between H37 Rv and H37 Ra groups for 4h infection were: lipid metabolism, small molecule biochemistry, vitamin and mineral metabolism and cell death and survival signaling. Top four pathways between H37 Rv and H37 Ra groups for 24 h infection were: cell cycle, DNA replication, recombination, and repair, cell death and survival signaling. Only 1 pathway were common between 4h and 24 h MTB infection. Conclusions: Our study revealed the transcriptomic change of macrophage infected with different virulent MTB strains, which could help to gain a better understanding of the regulation system in MTB infection immunity.
Background/Objective: Tuberculosis caused by Mycobacterium tuberculosis(MTB) remains a significant public health problem, which leads to 2 billion individuals and approximately 10 million new infections every year throughout the world. With the continually emerged multidrug-resistant(MDR) and extensively drug-resistant(XDR) TB, a comprehensive understanding of anti-TB immunity in the host is urgently needed. Transcriptomic analysis has potential to greatly increase our understanding of MTB infection, which reveals gene expression and the complex network of gene regulations at transcriptional level. However, the transcriptomic change of macrophage infected with different virulent MTB strains still poorly understood. Here, we studied the transcriptional profile of macrophage infected with H37 Rv and H37 Ra using RNA-Sequencing(RNA-seq). Methods: THP-1 cells were primed with PMA for 24 hours. Three groups were set, H37 Rv infection group, H37 Ra infection group and control group. Each group was treated for 1 hour, 4 hours, 12 hours, 24 hours and 48 hours. Then cells were harvested for RNAisolation. The sequencing library were prepared and sequenced in half lane in flowcell of Illumina Hiseq 3000 high throughput sequencer. Differentially expressed genes were identified using the edge R program. Results: Top four pathways involved in differentially expressed genes between H37 Rv and H37 Ra groups for 4h infection were: lipid metabolism, small molecule biochemistry, vitamin and mineral metabolism and cell death and survival signaling. Top four pathways between H37 Rv and H37 Ra groups for 24 h infection were: cell cycle, DNA replication, recombination, and repair, cell death and survival signaling. Only 1 pathway were common between 4h and 24 h MTB infection. Conclusions: Our study revealed the transcriptomic change of macrophage infected with different virulent MTB strains, which could help to gain a better understanding of the regulation system in MTB infection immunity.
引文