Transcriptome microRNA profiling of bovine mammary epithelial cells challenged with Escherichia coli or Staphylococcus aureus bacteria reveals pathogen directed microRNA expression profiles.
Transcriptome microRNA profiling of bovine mammary epithelial cells challenged with Escherichia coli or Staphylococcus aureus bacteria reveals pathogen directed microRNA expression profiles.
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DOI：
10.1186/1471-2164-15-181
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发表时间：
2014-03-07
期刊：
影响因子：
4.4
通讯作者：
Guan le L
中科院分区：
文献类型：
--
作者：
Jin W;Ibeagha-Awemu EM;Liang G;Beaudoin F;Zhao X;Guan le L
microRNAs（miRNAs）能够在转录后调控基因表达，是调节上皮细胞免疫应答的重要调控因子。然而，miRNA在牛对E. coli和革兰氏阳性菌S.金黄色葡萄球菌（两种引起乳腺炎的病原体）还没有被很好地理解。研究了热灭活金黄色葡萄球菌（S.金黄色葡萄球菌）或大肠杆菌（E。coli）细菌在0、6、12、24和48小时的图谱，使用RNA-Seq.在13个文库中，至少有1个文库中鉴定出231个已知的牛miRNA，丰度超过10/100万，其中包括bta-miR-21- 5 p、miR-27 b、miR-22- 3 p、miR-184和let-7 f在内的5个miRNA丰度超过50%。另外还发现了113种新的miRNA，其中超过三分之一的miRNA属于bta-miR-2284家族。17个miRNA在病原菌的存在下表达差异显著（P <0. 05）。E.大肠杆菌启动miRNA的更早调节（与S. coli的1个miRNA相比，6个miRNA在攻击后最初6小时内差异调节。而S.金黄色葡萄球菌表现出延迟反应。5种差异表达的miRNA（bta-miR-184、miR-24- 3 p、miR-148、miR-486和let-7a-5 p）是大肠杆菌特有的。其中bta-miR-2339、miR-499、miR-23 a和miR-99 b为S. coli特有的4个。金黄色。此外，我们得研究还揭示了5种miRNA（bta-miR-193 a-3 p，miR-423- 5 p，miR-30 b-5 p，miR-29 c与miR-un 116）在未激发细胞中得时间差异调节.病原菌差异表达miRNA的靶基因预测表明，基因本体在发育/细胞过程、生物调控以及细胞生长和死亡中的功能类别显著丰富。此外，靶基因在免疫系统、信号转导、细胞过程、神经系统、发育和人类疾病等多个KEGG通路中富集。利用新一代测序技术，我们得研究确定了MAC-T细胞中病原体介导得miRNA差异调节，其在免疫与发育中发挥作用.我们的研究进一步证实了乳腺上皮细胞参与了对感染病原体的免疫应答，并提示miRNA作为诊断和开发控制措施的生物标志物的潜力。
MicroRNAs (miRNAs) can post-transcriptionally regulate gene expression and have been shown to be critical regulators to the fine-tuning of epithelial immune responses. However, the role of miRNAs in bovine responses to E. coli and S. aureus, two mastitis causing pathogens, is not well understood. The global expression of miRNAs in bovine mammary epithelial cells (MAC-T cells) challenged with and without heat-inactivated Staphylococcus aureus (S. aureus) or Escherichia coli (E. coli) bacteria at 0, 6, 12, 24, and 48 hr was profiled using RNA-Seq. A total of 231 known bovine miRNAs were identified with more than 10 counts per million in at least one of 13 libraries and 5 miRNAs including bta-miR-21-5p, miR-27b, miR-22-3p, miR-184 and let-7f represented more than 50% of the abundance. One hundred and thirteen novel miRNAs were also identified and more than one third of them belong to the bta-miR-2284 family. Seventeen miRNAs were significantly (P < 0.05) differentially regulated by the presence of pathogens. E. coli initiated an earlier regulation of miRNAs (6 miRNAs differentially regulated within the first 6 hrs post challenge as compared to 1 miRNA for S. aureus) while S. aureus presented a delayed response. Five differentially expressed miRNAs (bta-miR-184, miR-24-3p, miR-148, miR-486 and let-7a-5p) were unique to E. coli while four (bta-miR-2339, miR-499, miR-23a and miR-99b) were unique to S. aureus. In addition, our study revealed a temporal differential regulation of five miRNAs (bta-miR-193a-3p, miR-423-5p, miR-30b-5p, miR-29c and miR-un116) in unchallenged cells. Target gene predictions of pathogen differentially expressed miRNAs indicate a significant enrichment in gene ontology functional categories in development/cellular processes, biological regulation as well as cell growth and death. Furthermore, target genes were significantly enriched in several KEGG pathways including immune system, signal transduction, cellular process, nervous system, development and human diseases. Using next-generation sequencing, our study identified a pathogen directed differential regulation of miRNAs in MAC-T cells with roles in immunity and development. Our study provides a further confirmation of the involvement of mammary epithelia cells in contributing to the immune response to infecting pathogens and suggests the potential of miRNAs to serve as biomarkers for diagnosis and development of control measures.
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影响因子：
4.4
作者：
Gilbert FB;Cunha P;Jensen K;Glass EJ;Foucras G;Robert-Granié C;Rupp R;Rainard P
通讯作者：
Rainard P
影响因子：
--
作者：
Jin W;Grant JR;Stothard P;Moore SS;Guan LL
通讯作者：
Guan LL
影响因子：
12.3
作者：
Hendrix D;Levine M;Shi W
通讯作者：
Shi W
影响因子：
4.8
作者：
Jennewein, Carla;von Knethen, Andreas;Bruene, Bernhard
通讯作者：
Bruene, Bernhard
影响因子：
3.5
作者：
Griesbeck-Zilch, B.;Meyer, H. H. D.;Wellnitz, O.
通讯作者：
Wellnitz, O.