Literature DB >> 19428753

Microarray analysis reveals distinct signaling pathways transcriptionally activated by infection with bovine viral diarrhea virus in different cell types.

Daisuke Yamane1, Muhammad Atif Zahoor, Yassir Mahgoub Mohamed, Walid Azab, Kentaro Kato, Yukinobu Tohya, Hiroomi Akashi.   

Abstract

Infection with bovine viral diarrhea virus (BVDV) causes different effects depending on its biotype in vitro; cytopathogenic (cp) strains induce apoptosis, type I interferon (IFN), and various stress-mediated responses, whereas non-cytopathogenic (ncp) strains do not. However, comprehensive transcriptional profiles of the cells infected with BVDV are still unknown. Here we performed microarray analysis of BVDV-infected MDBK epithelial cells and bovine fetal muscle (BFM) fibroblast cells. Infection of both cell types with cp BVDV, but not ncp BVDV, stimulated marked up-regulation of numerous genes belonging to diverse functional classes. However, the pattern of gene expression detected in both cell types was highly distinct from each other. Notably, upon cp BVDV infection, BFM cells exhibited marked induction of IFN-stimulated genes (ISGs), whereas MDBK cells characteristically up-regulated endoplasmic reticulum stress-inducible genes, such as tribbles homolog 3 (TRB3), CHOP and asparagine synthase, and showed much weaker induction of ISGs than BFM cells. This study highlights unexpected diversity in the response of different cell types to BVDV infection.

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Year:  2009        PMID: 19428753     DOI: 10.1016/j.virusres.2009.02.015

Source DB:  PubMed          Journal:  Virus Res        ISSN: 0168-1702            Impact factor:   3.303


  3 in total

1.  Transcriptomic Analysis of MDBK Cells Infected with Cytopathic and Non-Cytopathic Strains of Bovine Viral Diarrhea Virus (BVDV).

Authors:  Paweł Mirosław; Marzena Rola-Łuszczak; Jacek Kuźmak; Mirosław P Polak
Journal:  Viruses       Date:  2022-06-11       Impact factor: 5.818

2.  A novel biclustering approach with iterative optimization to analyze gene expression data.

Authors:  Sawannee Sutheeworapong; Motonori Ota; Hiroyuki Ohta; Kengo Kinoshita
Journal:  Adv Appl Bioinform Chem       Date:  2012-09-07

3.  Validation and application of normalization factors for gene expression studies in rubella virus-infected cell lines with quantitative real-time PCR.

Authors:  S Chey; C Claus; U G Liebert
Journal:  J Cell Biochem       Date:  2010-05       Impact factor: 4.429

  3 in total

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