- Research article
- Open Access
Genome-wide host responses against infectious laryngotracheitis virus vaccine infection in chicken embryo lung cells
BMC Genomics volume 13, Article number: 143 (2012)
Infectious laryngotracheitis virus (ILTV; gallid herpesvirus 1) infection causes high mortality and huge economic losses in the poultry industry. To protect chickens against ILTV infection, chicken-embryo origin (CEO) and tissue-culture origin (TCO) vaccines have been used. However, the transmission of vaccine ILTV from vaccinated- to unvaccinated chickens can cause severe respiratory disease. Previously, host cell responses against virulent ILTV infections were determined by microarray analysis. In this study, a microarray analysis was performed to understand host-vaccine ILTV interactions at the host gene transcription level.
The 44 K chicken oligo microarrays were used, and the results were compared to those found in virulent ILTV infection. Total RNAs extracted from vaccine ILTV infected chicken embryo lung cells at 1, 2, 3 and 4 days post infection (dpi), compared to 0 dpi, were subjected to microarray assay using the two color hybridization method. Data analysis using JMP Genomics 5.0 and the Ingenuity Pathway Analysis (IPA) program showed that 213 differentially expressed genes could be grouped into a number of functional categories including tissue development, cellular growth and proliferation, cellular movement, and inflammatory responses. Moreover, 10 possible gene networks were created by the IPA program to show intermolecular connections. Interestingly, of 213 differentially expressed genes, BMP2, C8orf79, F10, and NPY were expressed distinctly in vaccine ILTV infection when compared to virulent ILTV infection.
Comprehensive knowledge of gene expression and biological functionalities of host factors during vaccine ILTV infection can provide insight into host cellular defense mechanisms compared to those of virulent ILTV.
Avian infectious laryngotracheitis virus (ILTV), named as a Gallid herpesvirus 1, is a member of the Iltovirus genus, Alphaherpesvirinae subfamily, and Herpesviridae family. ILTV has a linearized dsDNA genome of approximately 150 kb in size which contains unique long (UL) and unique short (US) sequences flanked by inverted repeat (IR) and terminal repeat (TR) sequences [1, 2]. The genome encodes 80 predicted viral protein open reading frames (ORFs). ILTV infection causes respiratory disease symptoms in chickens, pheasants, partridges, and peafowl [3, 4]. Clinical signs include extension of the neck, gasping, gurgling, rattling, and coughing of clotted blood . ILTV usually causes a reduction in egg production and variable mortality ranging from 5 to 70%, and can cause severe economic losses in the poultry industry .
Two types of commercial live attenuated vaccines, chicken embryo origin (CEO) and tissue culture origin (TCO), have been widely used to immunize chicken flocks against ILTV [6, 7]. However, it was found that live vaccines infect the nervous system similarly to virulent ILTV infections, and could possibly induce vaccinal laryngotracheitis (VLT) by transmission to unvaccinated birds [8–10]. Moreover, global ILTV outbreaks are mostly associated with CEO vaccines [11–13] and the genomic- and antigenic characteristics between virulent and vaccine ILTV are very similar .
Microarray analysis has become popular, along with the recent development of a RNA-seq (RNA sequencing) technique using next-generation sequencing, to analyze comprehensive gene expression in different biological conditions. Microarrays have been performed intensively to investigate host gene transcriptional responses to infection by various viruses such as hepatitis C virus (HCV) , rice dwarf virus (RDV) , influenza virus , herpesvirus saimiri (HVS) , human immunodeficiency virus (HIV) [18, 19], Japanese encephalitis virus (JEV) [20, 21], chicken anemia virus (CAV) , human cytomegalovirus (hCMV) , Epstein-Barr virus (EBV) , infectious laryngotracheitis virus (ILTV) , varicella-zoster virus (VZV) , alphaherpesvirus , Marek's disease virus (MDV) , herpes simplex virus type 1 (HSV-1) , even in vaccine strains including recombinant flavivirus , west nile/dengue 4 virus , and dengue virus .
Previously, we studied the differential gene expression of host responses against virulent ILTV infection in cultured primary chicken embryo lung cells using microarray analysis . To compare and contrast host responses to infection of vaccine ILTV to those of virulent ILTV infection, primary chicken embryo lung cells were infected with live attenuated CEO vaccines and host gene expression during a four day period post infection was determined using 44 K chicken oligo microarrays in the present study.
Results and discussion
Profiling of differentially expressed host genes in vaccine ILTV infection
Primary chicken embryo lung cells at passage 1 were infected with 3 vaccination doses of a live fowl laryngotracheitis vaccine, which is widely used in the poultry industry. The infected cells were subjected to analysis for cytopathic effects and virus infection validation at 1, 2, 3 and 4 days post infection (dpi). Although weak cytopathic effects (e.g. cell rounding, aggregation and syncytia) were observed at certain locations of plates at 1 and 2 dpi, infected cells began to recover by 3 dpi, and no cytopathic effects were observed at 4 dpi (Figure 1A). To verify the infection of vaccine ILTV, the expression of ILTV viral RNA was determined and genes of UL35 encoding a small capsid protein and US5 encoding an envelop glycoprotein J (gJ) were shown to progressively increase their expression post infection though US5 expression began to be detected from 2 dpi (Figure 1B).
In the 44 K microarray assay, two approaches to avoid possible hidden dye effects were used: the use of RNA Spike-in controls synthesized from the Adenovirus E1A transcriptomes containing different concentrations of dye in each set  and the dye-swap in two of four total replicates. No significant dye effects were detected in all microarray slides (data not shown). Data analysis using one-way ANOVA with the JMP Genomics 5.0 and a 2 fold or greater cut off value revealed that 933 genes were differentially expressed at 4 different dpi time points following vaccine ILTV infection (Additional file 1). When these 933 differentially expressed genes were subjected to the bioinformatics study using Ingenuity Pathways Analysis (IPA, Ingenuity® Systems, http://www.ingenuity.com) to generate the gene networks and functional annotations, 213 genes were recognized as mapped IDs (functionally known genes) by the IPA program (Additional file 2) and subjected to further bioinformatics analysis.
Quantitative reverse transcription-PCR (qPCR)
To validate the microarray results, expression of 18 of the 933 differentially expressed genes was subjected to qPCR using the same RNA samples as those used in the microarray, and gene specific primer sets (Tables 1, 2). Of the 18 genes tested, the expression pattern for 12 genes completely matched the microarray data at four dpi time points. The expression pattern for the remaining 6 genes also qualitatively matched to microarray data, though they were not quantitatively matched (Table 2). With the comparison of the spike-in controls, qPCR results indicated that the microarray data in this experiment were valid to determine host gene expression responses against vaccine ILTV infection.
The gene expression levels of microarray were presented by log2 fold changes, whereas those of qPCR were indicated by -ΔΔCt that are comparable to the log2 fold change values in microarray
Biological functions of differentially expressed genes
Using the IPA program, the subset of 213 mapped genes were categorized into 75 biologically functional groups, and the top 20 groups associated with a greatest number of genes, are shown in Figure 2. The 20 functional groups are mostly related to tissue development, cellular growth and proliferation, organismal development, cell death, cellular development, cellular movement, and inflammatory responses.
Top 10 differentially expressed genes
Of 213 genes with known functions with mapped IDs, the top 10 most differentially expressed genes in ILTV vaccine infection were selected based on differences of standard deviation (SD) among all four dpi time points (Figure 3). The 10 most differentially expressed genes are involved in functions of reduced inflammatory responses, stimulation of cell proliferation, suppression of apoptosis, and promotion of cell-to-cell interactions. The general function and possible roles of these differentially expressed genes during ILTV infection are outlined in Table 3.
The C1q and tumor necrosis factor related protein 3 [C1QTNF3; also known as (a. k. a.) CTRP3] is known to stimulate ERK1/2 and p38 MAPK . C1QTNF3 expression was elevated from 2 to 4 dpi (Figure 3). In addition, cartonectin (an adipokine of the CTRP3 family) helps reduce inflammation by suppressing IL6 and TNF production and NF-κB signaling [59–61]. IL6, one of several cytomegalovirus secreted cytokines, enhances the survival of endothelial cells by blocking caspase 3 and caspase 7-mediated apoptosis . CTRP3 could also accelerate embryonic growth and may contribute to a high feed efficiency phenotype in broilers . Thus, the continuous increase of CTRP3 expression from 2 to 4 dpi during ILTV vaccine infection suggests the suppression of cellular factors related to inflammation and the promotion of cell recovery after the initial cytopathic effect that was exhibited in embryonic lung cells on 1dpi.
Aquaporin 5 (AQP5) expression, a water channel protein and part of the small integral membrane protein family, was elevated on 1 dpi, but decreased at 2- and 4- dpi (Figure 3). A deficiency AQP5 was shown to exacerbate lung injury by the infection of Pseudomonas aeruginosa . Down-regulation of AQP5 increases proliferation and migration of human corneal epithelial (CEP117) cell line . Adenovirus infection to mouse lung caused the down-regulation of AQP5 gene expression . Thus, the slight down-regulation of AQP5 gene expression in vaccine ILTV infection in from 2 to 4 dpi may be associated with the reduced cytopathic effect and cell recovery.
Cholecystokinin (CCK) was down-regulated in lung cells between 2 and 4 dpi (Figure 3). CCK is a peptide hormone of the gastrointestinal system that is important in fat digestion . CCK induces apoptosis by stimulating death signaling pathways in rat pancreatic acinar cells, including caspase activation, cytochrome C release, and mitochondrial depolarization . Thus, the down-regulation of CCK expression in vaccine ILTV infected cells may suppress apoptosis, resulting in weak cytopathic effects.
Network analysis by IPA was used to draw connections between interacting focus molecules. Of the 10 networks that were generated, the top 4 networks were identical among all four dpi, which may be due to the fact that the algorithms of the IPA program generate a network by considering fold change values and p-values of focus molecules in addition to their biological functions. The lists, top functions, and the most focused molecules of all four networks are shown in Additional file 3, and the drawings of interacting molecules in each network during the time course of all dpi are displayed in Additional file 4.
The most interactive network (network #1) at 1 dpi is presented in Figure 4. Similar differential expression levels for focus molecules in network #1 are shown at all four dpi during ILTV vaccine infection and the top functions related to genes in this network include free radical scavenging, lipid metabolism, and small molecule biochemistry. Several secreting proteins such as FIGF [c-fos induced growth factor; a.k.a vascular endothelial growth factor D (VEGF-D)], PDGFC (platelet derived growth factor C), TNFSF15 (tumor necrosis factor superfamily member 15), and CRH (corticotropin releasing hormone) in network #1 are closely associated with the activation of the ERK1/2 signaling pathway [69–72]. Additional cellular factors, including MGAT3 (mannosyl glucosaminyltransferase 3), HS6ST1 (heparin sulfate 6-O-sulfotransferase 1), and CIRBP (cold inducible RNA binding protein), that activate ERK 1/2 by increased phosphorylation are also upregulated in vaccine ILTV infection [73–75]. These results indicate that the mitogenic signaling pathway may be activated by increased phosphorylation of ERK 1/2 in vaccine ILTV infection, resulting in weak cytopathic effects that facilitate the recovery of cellular proliferation capabilities of embryonic lung cells during vaccine ILTV infection. In addition, several enzymatic antioxidants in lung cells that would reduce cellular oxidative stress included SOD3 (superoxide dismutase 3, extracellular), GPX7 (glutathione peroxidase 7), and GSTs (glutathione S tranferases; GST-A3, -T1, -A4) were also assigned to network #1. This up-regulation of these enzymatic antioxidants would serve to protect cells from oxidant-mediated cell death. These results concur with a previous report of enhanced endogenous antioxidant protection during vaccine ILTV infection and attenuation of cell death . Focus molecules found in network #1 can be summarized by the following functions: stimulation of various secreting proteins, inhibition of the cell death pathway, and attenuation of oxidative stress.
Comparison of host responses of virulent strain and vaccine ILTV infection
Previously, we reported 273 differentially expressed chicken genes mapped by the IPA program for virulent ILTV infection and the analysis of the functions and molecular networks of these genes . To find host cellular mechanisms common to both virulent strain and vaccine ILTV infection, the 213 differentially expressed genes that responded to vaccine ILTV infection in the present study were compared to the 273 differentially expressed genes found in the previous virulent ILTV infection study. The results showed that 25 genes overlapped in both virulent strain and vaccine ILTV infections. Of these 25 genes, 21 showed a similar differential expression pattern as found in the virulent ILTV infection at 1 and 3 dpi (the GenBank accession, gene symbol and gene name are listed in Additional file 5). Interestingly, 4 of 25 genes were regulated in the distinct direction for expression patterns at 1 or 3 dpi between virulent and vaccine ILTV in the present study (see Figure 5). Those genes included bone morphogenetic protein 2 (BMP2, AY237249), chromosome 8 open reading frame 79 (C8orf79, CR390951), coagulation factor × (F10, D00844), and neuropeptide Y (NPY, M87294).
Bone morphogenetic proteins (BMPs), as members of the transforming growth factor beta (TGFβ) superfamily, are involved in various cellular functions including cell type specification, differentiation, pluripotency, apoptosis, proliferation, and tissue morphogenesis . Deregulation of BMP signaling is also implicated in disease states including cancer . Though the functional role of BMP in ILTV infection is unknown, BMPs including BMP2 were found to mediate herpesviral reactivation found in the EBV positive cell line . The expression and secretion of BMP2 was regulated by HIV proteins in differentiating mesenchymal stem cells . Expression of BMP2 in both virulent and vaccine ILTV infections increased at 1dpi and the increased expression level in vaccine ILTV infection was maintained until 3dpi, while the expression in virulent ILTV was not changed at 3dpi (Figure 5). The continuous increase of BMP2 expression during ILTV vaccine infection may play a homeostatic role in maintaining cellular morphology against virus infection.
Neuropeptide Y (NPY) involves multiple cellular mechanisms related to both virus entry into the central nervous system (CNS) and virus-induced neurological diseases. NPY protects the nervous system from murine retrovirus-induced neurological disease . The up-regulation of NPY was observed in both infection and reactivation of VZV from a latent infection in human sensory trigeminal and dorsal ganglia, which are both sensory neurons . It suggests that the up-regulation of NPY in virulent ILTV infection at 3 dpi may facilitate the latent infection in the nervous system. In contrast, the continuous down-regulation of NPY in vaccine ILTV infection may delay the latent infection to protect the host from diseases.
The coagulation factor, F10, is highly expressed during the early phase of SARS (severe acute respiratory syndrome) corona virus infection in human peripheral blood mononuclear cells (PBMCs) . Expression of F10 in vaccine ILTV infections of lung cells increased at 1- and 3dpi, but the expression in virulent ILTV was not changed significantly at either 1- or 3dpi (Figure 5). A functional role of increased expression and secretion of F10 in vaccine herpesvirus infected lung cells has not been studied to date. The C8orf79 is an ORF region on chicken chromosome 8, but its function is unknown.
In this study, we examined genome-wide host cellular transcriptomic changes by vaccine ILTV infection. Unlike our previous research on virulent ILTV infection, the vaccine ILTV infection showed weak cytopathic effects, cellular morphology recovery after initial cytopathic effects were observed and very little cell death. Possible molecular interpretations confirmed the suppression of cell death and weak cytopathic effect production during vaccine ILTV infection. Four host cellular genes were significantly modulated by vaccine ILTV infection, and could represent important secreting regulators to protect cells from cytotoxic damages. Although host gene expression by vaccine ILTV infection was determined in a cell culture system and not by an in vivo vaccination study, the results in this study provide important insights into differential host cellular defense mechanisms by regulating host gene expression response of vaccine ILTV infection to compare those of virulent ILTV infection.
Cell culture and vaccine ILTV infection
Primary chicken embryo lung cells were prepared as previously described . All cell culture reagents were purchased from Invitrogen Life Technologies (Carlsbad, CA). Cells were maintained at 37°C in a 5% CO2 incubator in 10 cm culture dishes by passaging every 3-4 days in 10 ml growth medium consisting Dulbecco's Modified Eagle Medium (DMEM, 0.45% glucose) plus 10% fetal bovine serum (FBS), 100 units/ml penicillin, 100 μg/ml streptomycin, and 2 mM L-glutamine. A modified live ILTV commercial vaccine, LT-Blen (Merial Limited, Duluth, GA), was used to infect the chicken embryonic lung cells by the amount equal to 3 vaccination doses. After incubation of infected cells for 1 h with gentle rocking every 15 min, growth medium was added to each culture dish. The cells were incubated for up to 4 days. The protocols used in this study were approved by both the Institutional Biosafety Committee (IBC; permit number: 10007) of the University of Arkansas and the Animal and Plant Health Inspection Service (APHIS; permit number: 102743) of the United States Department of Agriculture (USDA).
Total RNA extraction
TRIzol reagent (Invitrogen Life Technologies, Carlsbad, CA) was used to extract total RNA from uninfected- or vaccine ILTV infected chicken embryonic lung cells from 1 to 4 days post infection (dpi). Total RNA treated by DNase I (New England BioLabs Inc., Ipswich, MA) was re-purified by TRIzol reagent and quantified using a Nanodrop1000 spectrophotometer (Thermo Scientific, Wilmington, DE) and qualified quality assessed by agarose gel (data not shown). To validate vaccine ILTV infection, expression of UL35 and US5 genes, in addition to chicken GAPDH (a host gene expression control), were determined by end-point reverse transcription PCR with gene specific primers. PCR amplicons were analyzed by agarose gel electrophoresis and images were obtained using the GelDoc system (Biorad, Hercules, CA).
Probe labeling and microarray hybridization
Initially, 2 μg of total RNA was used to synthesize Cy3 or Cy5 labeled complementary RNA (cRNA) using the Two Color Microarray Quick Labeling kit (Agilent Technologies, Palo Alto, CA) following the manufacturer's instructions and as described previously . To avoid possible dye effects, RNA Spike-in controls, which were synthesized from the Adenovirus E1A transcriptomes containing different concentrations of dye in each set , were added to RNA samples as Spike-in A for Cy3 and Spike-in B for Cy5 and mixed with un-infected control and vaccine ILTV infected samples at each dpi, respectively. For the additional control of dye effects, the dyes were swapped in two of four total replicates to confirm further hidden dye effects. Each 825 ng of Cy3 and Cy5 labeled cRNA probes were co-hybridized on a 4X44K Agilent chicken oligo microarray (array ID: 015068). After washing and drying, the slides were scanned using a Genepix 4000B scanner (Molecular Devices Corporation, Sunnyvale, CA) with the tolerance of saturation at 0.005%.
Microarray data analysis
Background-corrected red and green intensities for each spot were used in subsequent analyses. Global normalization based on locally weighted linear regression (LOWESS) was applied to the intensities by removing effects which arise from undesirable systematic variations in microarray experiments. The ratio of signal intensities of corresponding spots to all Spike-ins used were compared to reference ratios reported previously . All normalized data were deposited in the Gene Expression Omnibus (GEO; accession number: GSE30269). Genes showing both signal to noise ratio (SNR) of > 3 (meaning foreground signals are three times greater than background signals), and foreground intensity of > 100 at all time points were considered as reliable signals. To identify differentially expressed genes throughout the four dpi, normalized fold change values were subjected to statistical analysis by a one-way ANOVA test in JMP Genomics 5.0 http://www.jmp.com/software/genomics/ licensed to the Cell and Molecular Biology (CEMB) program of the University of Arkansas. Low fold change values, which were less than two fold differences in all four dpi, were not considered as differential expression. Fold change values representing differential expression were displayed as log2 conversions.
Quantitative reverse transcription-polymerase Chain reaction (qPCR)
To verify the microarray data, qPCR was performed with 18 genes using gene specific primer sets designed by Primer3 software http://frodo.wi.mit.edu/cgi-bin/primer3/primer3.cgi, which were synthesized by Integrated DNA Technologies (Coralville, IA). Primer information is shown in Table 1. Three μg of total RNA, which was used for the microarray analysis, was converted to cDNA and qPCR was performed under the following conditions: 40 cycles of denaturing 95°C for 30 s, annealing at 58 - 62°C for 1 min, extending at 72°C for 30 s, and finally extending at 72°C for 10 min. A non-template control (NTC) and an endogenous loading control (chicken GAPDH) were used for the relative quantification. The fold change values for the vaccine ILTV infected groups compared to uninfected control were determined by the -ΔΔCT method, which is comparable to log2 values in microarray .
The Ingenuity Pathways Analysis (IPA) software version 9.0 (Ingenuity Systems®; http://www.ingenuity.com) was used to study biological functions and molecular interactions among differentially expressed genes. IPA analyzes various bioinformatics tools including functional annotation, clustering, and network discovery based on Ingenuity Knowledge Base, which is the core technology of all IPA systems and the p-value developed from Right-tailed Fisher's exact test were mainly considered to interpret the interaction and functions of the differentially expressed genes [85, 86]. The network analysis was limited to 10 networks and 35 molecules in each network to concentrate on the closest interacting focus molecules (focus genes = a subset of uploaded significant genes having direct interactions with other genes in the database) within the differentially expressed genes .
Fuchs W, Veits J, Helferich D, Granzow H, Teifke JP, Mettenleiter TC: Molecular biology of avian infectious laryngotracheitis virus. Vet Res. 2007, 38 (2): 261-279.
Lee SW, Markham PF, Markham JF, Petermann I, Noormohammadi AH, Browning GF, Ficorilli NP, Hartley CA, Devlin JM: First complete genome sequence of infectious laryngotracheitis virus. BMC Genomics. 2011, 12: 197-
Bankowski RA, Corstvet RE, Clark GT: Isolation of an unidentified agent from the respiratory tract of chickens. Science. 1960, 132: 292-293.
Crawshaw GJ, Boycott BR: Infectious laryngotracheitis in peafowl and pheasants. Avian Dis. 1982, 26 (2): 397-401.
Bagust TJ, Jones RC, Guy JS: Avian infectious laryngotracheitis. Rev Sci Tech. 2000, 19 (2): 483-492.
Knipe DM, Howley PM: Herpes Simplex Viruses. Fields Virology. 2007, 2501-2061. 5
Rodriguez-Avila A, Oldoni I, Riblet S, Garcia M: Replication and transmission of live attenuated infectious laryngotracheitis virus (ILTV) vaccines. Avian Dis. 2007, 51 (4): 905-911.
Hughes CS, Williams RA, Gaskell RM, Jordan FT, Bradbury JM, Bennett M, Jones RC: Latency and reactivation of infectious laryngotracheitis vaccine virus. Arch Virol. 1991, 121 (1-4): 213-218.
Guy JS, Barnes HJ, Smith L: Increased virulence of modified-live infectious laryngotracheitis vaccine virus following bird-to-bird passage. Avian Dis. 1991, 35 (2): 348-355.
Meyer HM, Hopps HE, Parkman PD: Appraisal and reappraisal of viral vaccines. Adv Intern Med. 1980, 25: 533-560.
Guy JS, Barnes HJ, Munger LL, Rose L: Restriction endonuclease analysis of infectious laryngotracheitis viruses: comparison of modified-live vaccine viruses and North Carolina field isolates. Avian Dis. 1989, 33 (2): 316-323.
Keeler CL, Hazel JW, Hastings JE, Rosenberger JK: Restriction endonuclease analysis of Delmarva field isolates of infectious laryngotracheitis virus. Avian Dis. 1993, 37 (2): 418-426.
Oldoni I, Garcia M: Characterization of infectious laryngotracheitis virus isolates from the US by polymerase chain reaction and restriction fragment length polymorphism of multiple genome regions. Avian Pathol. 2007, 36 (2): 167-176.
Khalid SS, Hamid S, Siddiqui AA, Qureshi A, Qureshi N: Gene profiling of early and advanced liver disease in chronic hepatitis C patients. Hepatol Int. 2011, 5 (3): 782-788.
Satoh K, Shimizu T, Kondoh H, Hiraguri A, Sasaya T, Choi IR, Omura T, Kikuchi S: Relationship between symptoms and gene expression induced by the infection of three strains of Rice dwarf virus. PLoS One. 2011, 6 (3): e18094-
Mukherjee S, Vipat VC, Mishra AC, Pawar SD, Chakrabarti AK: Pandemic (H1N1) 2009 influenza virus induces weaker host immune responses in vitro: a possible mechanism of high transmissibility. Virol J. 2011, 8: 140-
Alberter B, Vogel B, Lengenfelder D, Full F, Ensser A: Genome-wide histone acetylation profiling of Herpesvirus saimiri in human T cells upon induction with a histone deacetylase inhibitor. J Virol. 2011, 85 (11): 5456-5464.
de la Fuente C, Santiago F, Deng L, Eadie C, Zilberman I, Kehn K, Maddukuri A, Baylor S, Wu K, Lee CG, Pumfery A, Kashanchi F: Gene expression profile of HIV-1 Tat expressing cells: a close interplay between proliferative and differentiation signals. BMC Biochem. 2002, 3: 14-
Wu JQ, Dwyer DE, Dyer WB, Yang YH, Wang B, Saksena NK: Genome-wide analysis of primary CD4+ and CD8+ T cell transcriptomes shows evidence for a network of enriched pathways associated with HIV disease. Retrovirology. 2011, 8: 18-
Gupta N, Bhaskar AS, Lakshmana Rao PV: Transcriptional regulation and activation of the mitogen-activated protein kinase pathway after Japanese encephalitis virus infection in neuroblastoma cells. FEMS Immunol Med Microbiol. 2011, 62 (1): 110-121.
Yang Y, Ye J, Yang X, Jiang R, Chen H, Cao S: Japanese encephalitis virus infection induces changes of mRNA profile of mouse spleen and brain. Virol J. 2011, 8: 80-
Crowley TM, Haring VR, Moore R: Chicken anemia virus: an understanding of the in-vitro host response over time. Viral Immunol. 2011, 24 (1): 3-9.
Hertoghs KM, Moerland PD, van Stijn A, Remmerswaal EB, Yong SL, van de Berg PJ, van Ham SM, Baas F, ten Berge IJ, van Lier RA: Molecular profiling of cytomegalovirus-induced human CD8+ T cell differentiation. J Clin Invest. 2010, 120 (11): 4077-4090.
Ye J, Gradoville L, Miller G: Cellular immediate-early gene expression occurs kinetically upstream of Epstein-Barr virus bzlf1 and brlf1 following cross-linking of the B cell antigen receptor in the Akata Burkitt lymphoma cell line. J Virol. 2010, 84 (23): 12405-12418.
Lee JY, Song JJ, Wooming A, Li X, Zhou H, Bottje WG, Kong BW: Transcriptional profiling of host gene expression in chicken embryo lung cells infected with laryngotracheitis virus. BMC Genomics. 2010, 11: 445-
Ashrafi GH, Grinfeld E, Montague P, Forster T, Ross A, Ghazal P, Scott F, Breuer J, Goodwin R, Kennedy PG: Assessment of transcriptomal analysis of Varicella-Zoster-virus gene expression in patients with and without post-herpetic neuralgia. Virus Genes. 2010, 41 (2): 192-201.
Szpara ML, Kobiler O, Enquist LW: A common neuronal response to alphaherpesvirus infection. J Neuroimmune Pharmacol. 2010, 5 (3): 418-427.
Kano R, Konnai S, Onuma M, Ohashi K: Microarray analysis of host immune responses to Marek's disease virus infection in vaccinated chickens. J Vet Med Sci. 2009, 71 (5): 603-610.
Clement C, Popp MP, Bloom DC, Schultz G, Liu L, Neumann DM, Bhattacharjee PS, Hill JM: Microarray analysis of host gene expression for comparison between naive and HSV-1 latent rabbit trigeminal ganglia. Mol Vis. 2008, 14: 1209-1221.
Bidzhieva B, Laassri M, Chumakov K: MAPREC assay for quantitation of mutants in a recombinant flavivirus vaccine strain using near-infrared fluorescent dyes. J Virol Methods. 2011, 175 (1): 14-19.
Laassri M, Bidzhieva B, Speicher J, Pletnev AG, Chumakov K: Microarray hybridization for assessment of the genetic stability of chimeric West Nile/dengue 4 virus. J Med Virol. 2011, 83 (5): 910-920.
Balas C, Kennel A, Deauvieau F, Sodoyer R, Arnaud-Barbe N, Lang J, Guy B: Different innate signatures induced in human monocyte-derived dendritic cells by wild-type dengue 3 virus, attenuated but reactogenic dengue 3 vaccine virus, or attenuated nonreactogenic dengue 1-4 vaccine virus strains. J Infect Dis. 2011, 203 (1): 103-108.
Zahurak M, Parmigiani G, Yu W, Scharpf RB, Berman D, Schaeffer E, Shabbeer S, Cope L: Pre-processing Agilent microarray data. BMC Bioinforma. 2007, 8: 142-
Bitoun E, Micheloni A, Lamant L, Bonnart C, Tartaglia-Polcini A, Cobbold C, Al Saati T, Mariotti F, Mazereeuw-Hautier J, Boralevi F, Hohl D, Harper J, Bodemer C, D'Alessio M, Hovnanian A: LEKTI proteolytic processing in human primary keratinocytes, tissue distribution and defective expression in Netherton syndrome. Hum Mol Genet. 2003, 12 (19): 2417-2430.
Streit M, Riccardi L, Velasco P, Brown LF, Hawighorst T, Bornstein P, Detmar M: Thrombospondin-2: a potent endogenous inhibitor of tumor growth and angiogenesis. Proc Natl Acad Sci USA. 1999, 96 (26): 14888-14893.
Metodieva SN, Nikolova DN, Cherneva RV, Dimova II, Petrov DB, Toncheva DI: Expression analysis of angiogenesis-related genes in Bulgarian patients with early-stage non-small cell lung cancer. Tumori. 2011, 97 (1): 86-94.
Miragliotta V, Raphael K, Ipina Z, Lussier JG, Theoret CL: Equine thrombospondin II and secreted protein acidic and cysteine-rich in a model of normal and pathological wound repair. Physiol Genomics. 2009, 38 (2): 149-157.
Halestrap AP: What is the mitochondrial permeability transition pore?. J Mol Cell Cardiol. 2009, 46 (6): 821-831.
Baines CP: The molecular composition of the mitochondrial permeability transition pore. J Mol Cell Cardiol. 2009, 46 (6): 850-857.
Green DR, Reed JC: Mitochondria and apoptosis. Science. 1998, 281 (5381): 1309-1312.
Zamzami N, Susin SA, Marchetti P, Hirsch T, Gomez-Monterrey I, Castedo M, Kroemer G: Mitochondrial control of nuclear apoptosis. J Exp Med. 1996, 183 (4): 1533-1544.
Marchetti P, Castedo M, Susin SA, Zamzami N, Hirsch T, Macho A, Haeffner A, Hirsch F, Geuskens M, Kroemer G: Mitochondrial permeability transition is a central coordinating event of apoptosis. J Exp Med. 1996, 184 (3): 1155-1160.
Marlovits TC, Abrahamsberg C, Blaas D: Very-low-density lipoprotein receptor fragment shed from HeLa cells inhibits human rhinovirus infection. J Virol. 1998, 72 (12): 10246-10250.
Budhiraja S, Chugh A: Neuromedin U: physiology, pharmacology and therapeutic potential. Fundam Clin Pharmacol. 2009, 23 (2): 149-157.
Novak CM: Neuromedin S and U. Endocrinology. 2009, 150 (7): 2985-2987.
Moriyama M, Sato T, Inoue H, Fukuyama S, Teranishi H, Kangawa K, Kano T, Yoshimura A, Kojima M: The neuropeptide neuromedin U promotes inflammation by direct activation of mast cells. J Exp Med. 2005, 202 (2): 217-224.
Moriyama M, Matsukawa A, Kudoh S, Takahashi T, Sato T, Kano T, Yoshimura A, Kojima M: The neuropeptide neuromedin U promotes IL-6 production from macrophages and endotoxin shock. Biochem Biophys Res Commun. 2006, 341 (4): 1149-1154.
Howard L, Maciewicz RA, Blobel CP: Cloning and characterization of ADAM28: evidence for autocatalytic pro-domain removal and for cell surface localization of mature ADAM28. Biochem J. 2000, 348 (Pt 1): 21-27.
Mochizuki S, Okada Y: ADAM28: involvement in cancer cell proliferation, invasion and metastasis. Seikagaku. 2010, 82 (10): 940-949.
Ohtsuka T, Shiomi T, Shimoda M, Kodama T, Amour A, Murphy G, Ohuchi E, Kobayashi K, Okada Y: ADAM28 is overexpressed in human non-small cell lung carcinomas and correlates with cell proliferation and lymph node metastasis. Int J Cancer. 2006, 118 (2): 263-273.
Mitsui Y, Mochizuki S, Kodama T, Shimoda M, Ohtsuka T, Shiomi T, Chijiiwa M, Ikeda T, Kitajima M, Okada Y: ADAM28 is overexpressed in human breast carcinomas: implications for carcinoma cell proliferation through cleavage of insulin-like growth factor binding protein-3. Cancer Res. 2006, 66 (20): 9913-9920.
Zhao Z, Liu HC, Huang ZN: Effects of ADAM28 AS-ODN on proliferation, differentiation and apoptosis of HPDLSC. Shanghai Kou Qiang Yi Xue. 2009, 18 (5): 524-531.
Mochizuki S, Shimoda M, Shiomi T, Fujii Y, Okada Y: ADAM28 is activated by MMP-7 (matrilysin-1) and cleaves insulin-like growth factor binding protein-3. Biochem Biophys Res Commun. 2004, 315 (1): 79-84.
Ueno N, Ling N, Ying SY, Esch F, Shimasaki S, Guillemin R: Isolation and partial characterization of follistatin: a single-chain Mr 35,000 monomeric protein that inhibits the release of follicle-stimulating hormone. Proc Natl Acad Sci USA. 1987, 84 (23): 8282-8286.
Thompson TB, Lerch TF, Cook RW, Woodruff TK, Jardetzky TS: The structure of the follistatin:activin complex reveals antagonism of both type I and type II receptor binding. Dev Cell. 2005, 9 (4): 535-543.
Chen YG, Lui HM, Lin SL, Lee JM, Ying SY: Regulation of cell proliferation, apoptosis, and carcinogenesis by activin. Exp Biol Med (Maywood). 2002, 227 (2): 75-87.
Jones JO, Arvin AM: Viral and cellular gene transcription in fibroblasts infected with small plaque mutants of varicella-zoster virus. Antiviral Res. 2005, 68 (2): 56-65.
May HG, Tittsler RP: Tracheolaryngotracheitis in poultry. J Am Vet Med Assoc. 1925, 67: 229-231.
Weigert J, Neumeier M, Schaffler A, Fleck M, Scholmerich J, Schutz C, Buechler C: The adiponectin paralog CORS-26 has anti-inflammatory properties and is produced by human monocytic cells. FEBS Lett. 2005, 579 (25): 5565-5570.
Weigert C, Hennige AM, Brodbeck K, Haring HU, Schleicher ED: Interleukin-6 acts as insulin sensitizer on glycogen synthesis in human skeletal muscle cells by phosphorylation of Ser473 of Akt. Am J Physiol Endocrinol Metab. 2005, 289 (2): E251-257.
Wolfing B, Buechler C, Weigert J, Neumeier M, Aslanidis C, Schoelmerich J, Schaffler A: Effects of the new C1q/TNF-related protein (CTRP-3) "cartonectin" on the adipocytic secretion of adipokines. Obesity (Silver Spring). 2008, 16 (7): 1481-1486.
Botto S, Streblow DN, DeFilippis V, White L, Kreklywich CN, Smith PP, Caposio P: IL-6 in human cytomegalovirus secretome promotes angiogenesis and survival of endothelial cells through the stimulation of survivin. Blood. 2011, 117 (1): 352-361.
Kong BW, Song JJ, Lee JY, Hargis BM, Wing T, Lassiter K, Bottje W: Gene expression in breast muscle associated with feed efficiency in a single male broiler line using a chicken 44 K oligo microarray. I Top differentially expressed genes Poult Sci. 2011, 90 (11): 2535-2547.
Zhang ZQ, Song YL, Chen ZH, Shen Y, Bai CX: Deletion of Aquaporin 5 Aggravates Acute Lung Injury Induced by Pseudomonas aeruginosa. J Trauma. 2011, 71 (5): 1305-1311.
Shankardas J, Patil RV, Vishwanatha JK: Effect of down-regulation of aquaporins in human corneal endothelial and epithelial cell lines. Mol Vis. 2010, 16: 1538-1548.
Towne JE, Harrod KS, Krane CM, Menon AG: Decreased expression of aquaporin (AQP)1 and AQP5 in mouse lung after acute viral infection. Am J Respir Cell Mol Biol. 2000, 22 (1): 34-44.
Jensen RT, Wank SA, Rowley WH, Sato S, Gardner JD: Interaction of CCK with pancreatic acinar cells. Trends Pharmacol Sci. 1989, 10 (10): 418-423.
Gukovskaya AS, Gukovsky I, Jung Y, Mouria M, Pandol SJ: Cholecystokinin induces caspase activation and mitochondrial dysfunction in pancreatic acinar cells. Roles in cell injury processes of pancreatitis. J Biol Chem. 2002, 277 (25): 22595-22604.
Vlahakis NE, Young BA, Atakilit A, Sheppard D: The lymphangiogenic vascular endothelial growth factors VEGF-C and -D are ligands for the integrin alpha9beta1. J Biol Chem. 2005, 280 (6): 4544-4552.
Wen L, Zhuang L, Luo X, Wei P: TL1A-induced NF-kappaB activation and c-IAP2 production prevent DR3-mediated apoptosis in TF-1 cells. J Biol Chem. 2003, 278 (40): 39251-39258.
Refojo D, Echenique C, Muller MB, Reul JM, Deussing JM, Wurst W, Sillaber I, Paez-Pereda M, Holsboer F, Arzt E: Corticotropin-releasing hormone activates ERK1/2 MAPK in specific brain areas. Proc Natl Acad Sci USA. 2005, 102 (17): 6183-6188.
Campbell JS, Hughes SD, Gilbertson DG, Palmer TE, Holdren MS, Haran AC, Odell MM, Bauer RL, Ren HP, Haugen HS, Yeh MM, Fausto N: Platelet-derived growth factor C induces liver fibrosis, steatosis, and hepatocellular carcinoma. Proc Natl Acad Sci USA. 2005, 102 (9): 3389-3394.
Sato Y, Takahashi M, Shibukawa Y, Jain SK, Hamaoka R, Miyagawa J, Yaginuma Y, Honke K, Ishikawa M, Taniguchi N: Overexpression of N-acetylglucosaminyltransferase III enhances the epidermal growth factor-induced phosphorylation of ERK in HeLaS3 cells by up-regulation of the internalization rate of the receptors. J Biol Chem. 2001, 276 (15): 11956-11962.
Sugaya N, Habuchi H, Nagai N, Ashikari-Hada S, Kimata K: 6-O-sulfation of heparan sulfate differentially regulates various fibroblast growth factor-dependent signalings in culture. J Biol Chem. 2008, 283 (16): 10366-10376.
Artero-Castro A, Callejas FB, Castellvi J, Kondoh H, Carnero A, Fernandez-Marcos PJ, Serrano M, Ramon Y, Cajal S, Lleonart ME: Cold-inducible RNA-binding protein bypasses replicative senescence in primary cells through extracellular signal-regulated kinase 1 and 2 activation. Mol Cell Biol. 2009, 29 (7): 1855-1868.
Kuhn H, Borchert A: Regulation of enzymatic lipid peroxidation: the interplay of peroxidizing and peroxide reducing enzymes. Free Radic Biol Med. 2002, 33 (2): 154-172.
Blitz IL, Cho KW: Finding partners: how BMPs select their targets. Dev Dyn. 2009, 238 (6): 1321-1331.
Blanco Calvo M, Bolos Fernandez V, Medina Villaamil V, Aparicio Gallego G, Diaz Prado S, Grande Pulido E: Biology of BMP signalling and cancer. Clin Transl Oncol. 2009, 11 (3): 126-137.
Yin Q, Wang X, Fewell C, Cameron J, Zhu H, Baddoo M, Lin Z, Flemington EK: MicroRNA miR-155 inhibits bone morphogenetic protein (BMP) signaling and BMP-mediated Epstein-Barr virus reactivation. J Virol. 2010, 84 (13): 6318-6327.
Cotter EJ, Ip HS, Powderly WG, Doran PP: Mechanism of HIV protein induced modulation of mesenchymal stem cell osteogenic differentiation. BMC Musculoskelet Disord. 2008, 9: 33-
Du M, Butchi NB, Woods T, Morgan TW, Peterson KE: Neuropeptide Y has a protective role during murine retrovirus-induced neurological disease. J Virol. 2010, 84 (21): 11076-11088.
Garry EM, Delaney A, Anderson HA, Sirinathsinghji EC, Clapp RH, Martin WJ, Kinchington PR, Krah DL, Abbadie C, Fleetwood-Walker SM: Varicella zoster virus induces neuropathic changes in rat dorsal root ganglia and behavioral reflex sensitisation that is attenuated by gabapentin or sodium channel blocking drugs. Pain. 2005, 118 (1-2): 97-111.
Ng LF, Hibberd ML, Ooi EE, Tang KF, Neo SY, Tan J, Murthy KR, Vega VB, Chia JM, Liu ET, Ren EC: A human in vitro model system for investigating genome-wide host responses to SARS coronavirus infection. BMC Infect Dis. 2004, 4: 34-
Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001, 25 (4): 402-408.
Fisher RA: On the interpretation of X2 from contingency tables, and the calculation of P. J R Stat Soc. 1922, 85 (1): 87-94.
Mori R, Xiong S, Wang Q, Tarabolous C, Shimada H, Panteris E, Danenberg KD, Danenberg PV, Pinski JK: Gene profiling and pathway analysis of neuroendocrine transdifferentiated prostate cancer cells. Prostate. 2009, 69 (1): 12-23.
Calvano SE, Xiao W, Richards DR, Felciano RM, Baker HV, Cho RJ, Chen RO, Brownstein BH, Cobb JP, Tschoeke SK, Miller-Graziano C, Moldawer LL, Mindrinos MN, Davis RW, Tompkins RG, Lowry SF: Inflamm and Host Response to Injury Large Scale Collab. Res. Program: A network-based analysis of systemic inflammation in humans. Nature. 2005, 437 (7061): 1032-1037.
We thank Dr. Douglas Foster (University of Minnesota) for the excellent comments in reviewing this manuscript. This work was supported, in part, by Arkansas Bioscience Institute, Arkansas Agricultural Experimental Station, and US Poultry and Egg Association (project #640).
The authors declare that they have no competing interests.
JYL designed and performed experiments, analyzed the data, and wrote the manuscript. WB contributed the bioinformatics analysis using the IPA program and manuscript editing. BWK supervised all processes of the research, initial data analysis and manuscript editing. All authors read and approved the final manuscript.
Electronic supplementary material
Additional file 2: All 213 differentially expressed genes collected by IPA program. The gene expression levels at all time points were determined by log2 fold change. All gene symbols and gene names were generated based on the IPA database and confirmed with the Unigene function of NCBI. (XLS 70 KB)
Additional file 3: GenBank accessions, functions, and major focus molecules in four molecular networks. (A) The top functions of each network, scores and the number of focus molecules are listed in each network. (B) GenBank accession numbers and gene symbols used in network analysis were listed for each network. Focus molecules were bolded and GenBank accession number were provided for focus molecules only. (C) The potentially important focus molecules in each network are listed. (DOC 128 KB)
Additional file 4: Four gene networks. Symbols of functions for each molecules used to generate molecular networks are displayed. (A) network #1 (B) network #2 (C) network #3 (D) network #4. Enlarged images for each dpi are attached. The green indicates down-regulation, while the red depicts up-regulation. Different color intensities represent levels of log2 fold change in the designated molecule. (PPT 2 MB)
About this article
Cite this article
Lee, J., Bottje, W.G. & Kong, B. Genome-wide host responses against infectious laryngotracheitis virus vaccine infection in chicken embryo lung cells. BMC Genomics 13, 143 (2012). https://doi.org/10.1186/1471-2164-13-143
- Ingenuity Pathway Analysis
- Japanese Encephalitis Virus
- Chicken Anemia Virus
- Gallid Herpesvirus