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全球多个猪器官的转录组谱分析揭示了干扰素诱导的转录景观。

Global Transcriptome Profiling of Multiple Porcine Organs Reveals -Induced Transcriptional Landscapes.

机构信息

State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.

Department of Parasitology, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.

出版信息

Front Immunol. 2019 Jul 3;10:1531. doi: 10.3389/fimmu.2019.01531. eCollection 2019.

DOI:10.3389/fimmu.2019.01531
PMID:31333663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6618905/
Abstract

We characterized the porcine tissue transcriptional landscapes that follow infection. RNAs were isolated from liver, spleen, cerebral cortex, lung, and mesenteric lymph nodes (MLNs) of -infected and uninfected (control) pigs at days 6 and 18 postinfection, and were analyzed using next-generation sequencing (RNA-seq). altered the expression of 178, 476, 199, 201, and 362 transcripts at 6 dpi and 217, 223, 347, 119, and 161 at 18 dpi in the infected brain, liver, lung, MLNs and spleen, respectively. The differentially expressed transcripts (DETs) were grouped into five expression patterns and 10 sub-clusters. Gene Ontology enrichment and pathway analysis revealed that immune-related genes dominated the overall transcriptomic signature and that metabolic processes, such as steroid biosynthesis, and metabolism of lipid and carboxylic acid, were downregulated in infected tissues. Co-expression network analysis identified transcriptional modules associated with host immune response to infection. These findings not only show how infection alters porcine transcriptome in a tissue-specific manner, but also offer a gateway for testing new hypotheses regarding human response to infection.

摘要

我们描述了感染后的猪组织转录组图谱。在感染后第 6 天和第 18 天,从感染和未感染(对照)猪的肝脏、脾脏、大脑皮层、肺和肠系膜淋巴结(MLN)中分离 RNA,并使用下一代测序(RNA-seq)进行分析。在感染大脑、肝脏、肺、MLN 和脾脏的猪中,分别在 6dpi 和 18dpi 时,改变了 178、476、199、201 和 362 个转录本的表达,改变了 217、223、347、119 和 161 个转录本的表达。差异表达的转录本(DETs)被分为五种表达模式和 10 个子群。GO 富集和通路分析表明,免疫相关基因主导了整体转录组特征,感染组织中的类固醇生物合成和脂质及羧酸代谢等代谢过程被下调。共表达网络分析确定了与宿主对感染的免疫反应相关的转录模块。这些发现不仅表明感染如何以组织特异性的方式改变猪的转录组,而且为测试关于人类对感染的反应的新假设提供了一个途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1893/6618905/521cf11ede50/fimmu-10-01531-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1893/6618905/bea7290b9db0/fimmu-10-01531-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1893/6618905/a32756ed1098/fimmu-10-01531-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1893/6618905/521cf11ede50/fimmu-10-01531-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1893/6618905/bea7290b9db0/fimmu-10-01531-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1893/6618905/a32756ed1098/fimmu-10-01531-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1893/6618905/521cf11ede50/fimmu-10-01531-g0008.jpg

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