Deep sequencing-based expression transcriptional profiling changes during Brucella infection

被引:7
|
作者
Liu, Qianhong [1 ]
Han, Wenyu [1 ]
Sun, Changjiang [1 ]
Zhou, Liang [1 ]
Ma, Limin [1 ]
Lei, Liancheng [1 ]
Yan, Shouqing [1 ]
Liu, Shanshan [1 ]
Du, Chongtao [1 ]
Feng, Xin [1 ]
机构
[1] Jilin Univ, Coll Anim Sci & Vet Med, Changchun 130062, Peoples R China
关键词
Deep sequencing-based expression; Transcription; Infection; Brucella; GENE-EXPRESSION; MD-2; EXPRESSION; ABORTUS; MELITENSIS; PROTEIN; MACROPHAGES; PHAGOCYTOSIS; TRAFFICKING; MUTAGENESIS; RECEPTOR-2;
D O I
10.1016/j.micpath.2012.02.001
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Brucellosis is a worldwide zoonotic infectious disease that has significant economic effects on animal production and human health. The host macrophage - Brucella interaction is critical to the establishment of infections. Thus, the kinetic transcriptional profile of gene expression in macrophages infected with the Brucella melitensis strain 16M was investigated in the current study using a technology based on deep sequencing. The total RNA was extracted from macrophages 0, 4, and 24 h post-infection. Data analysis showed that in the gene ontology term, the expression of genes in the endoplasmic reticulum, lysosomes, as well as those involved in programmed cell death and apoptosis significantly changed during the first 24 h post-infection. Pathway enrichment analysis indicated that the genes in the apoptosis pathway. NOD-like receptor signaling pathway, Fc gamma R-mediated phagocytosis, lysosome pathway, p53 signaling pathway, and protein processing in the endoplasmic reticulum significantly changed during the first 24 h post-infection. The B-cell receptor and toll-like receptor signaling pathways were also significantly changed 24 h post-infection compared with those 4 h post-infection. The results of the current study can contribute to an improved understanding of the manner by which host cell responses may be manipulated to prevent Brucella infection. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:267 / 277
页数:11
相关论文
共 50 条
  • [31] Deep Sequencing-Based Identification of Small Regulatory RNAs in Synechocystis sp PCC 6803
    Xu, Wen
    Chen, Hui
    He, Chen-Liu
    Wang, Qiang
    PLOS ONE, 2014, 9 (03):
  • [32] A novel standardized deep sequencing-based assay for hepatitis C virus genotype determination
    Rodriguez, Christophe
    Soulier, Alexandre
    Demontant, Vanessa
    Poiteau, Lila
    Mercier-Darty, Melanie
    Bouvier-Alias, Magali
    Pawlotsky, Jean-Michel
    Chevaliez, Stephane
    SCIENTIFIC REPORTS, 2018, 8
  • [33] Deep sequencing-based transcriptome analysis of Plutella xylostella larvae parasitized by Diadegma semiclausum
    Etebari, Kayvan
    Palfreyman, Robin W.
    Schlipalius, David
    Nielsen, Lars K.
    Glatz, Richard V.
    Asgari, Sassan
    BMC GENOMICS, 2011, 12
  • [34] microRNA expression profiling in fetal single ventricle malformation identified by deep sequencing
    Yu, Zhang-Bin
    Han, Shu-Ping
    Bai, Yun-Fei
    Zhu, Chun
    Pan, Ya
    Guo, Xi-Rong
    INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, 2012, 29 (01) : 53 - 60
  • [35] Next-generation sequencing-based microRNA profiling of mice testis subjected to transient heat stress
    Rao, Meng
    Zeng, Zhengyan
    Tang, Li
    Cheng, Guiping
    Xia, Wei
    Zhu, Changhong
    ONCOTARGET, 2017, 8 (67) : 111672 - 111682
  • [36] Transcriptional Profiling of Clostridium difficile and Caco-2 Cells during Infection
    Janvilisri, Tavan
    Scaria, Joy
    Chang, Yung-Fu
    JOURNAL OF INFECTIOUS DISEASES, 2010, 202 (02): : 282 - 290
  • [37] Transcriptional profiling defines dynamics of parasite tissue sequestration during malaria infection
    Pelle, Karell G.
    Oh, Keunyoung
    Buchholz, Kathrin
    Narasimhan, Vagheesh
    Joice, Regina
    Milner, Danny A.
    Brancucci, Nicolas M. B.
    Ma, Siyuan
    Voss, Till S.
    Ketman, Ken
    Seydel, Karl B.
    Taylor, Terrie E.
    Barteneva, Natasha S.
    Huttenhower, Curtis
    Marti, Matthias
    GENOME MEDICINE, 2015, 7
  • [38] Simultaneous RNA-seq based transcriptional profiling of intracellular Brucella abortus and B. abortus-infected murine macrophages
    Huynh Tan Hop
    Arayan, Lauren Togonon
    Reyes, Alisha Wehdnesday Bernardo
    Tran Xuan Ngoc Huy
    Min, WonGi
    Lee, Hu Jang
    Son, Jee Soo
    Kim, Suk
    MICROBIAL PATHOGENESIS, 2017, 113 : 57 - 67
  • [39] MicroRNA profiling of mouse liver in response to DENV-1 infection by deep sequencing
    Pong, Lian Yih
    Parkkinen, Sinikka
    Dhanoa, Amreeta
    Gan, Han Ming
    Wickremesinghe, Indeevari Abisheka Chiharu
    Hassan, Sharifah Syed
    PEERJ, 2019, 7
  • [40] Comparative profiling of the transcriptional response to infection in two species of Drosophila by short-read cDNA sequencing
    Sackton, Timothy B.
    Clark, Andrew G.
    BMC GENOMICS, 2009, 10