Source: MIDWEST AREA, AGRICULTURAL RESEARCH SERVICE submitted to NRP
HIGH RESOLUTION MICROARRAY AND PROTEIN ANALYSIS OF CHICKEN IMMUNE RESPONSES
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
0199835
Grant No.
2004-35604-14414
Cumulative Award Amt.
(N/A)
Proposal No.
2003-05414
Multistate No.
(N/A)
Project Start Date
Jun 1, 2004
Project End Date
May 30, 2008
Grant Year
2004
Program Code
[200.1]- (N/A)
Recipient Organization
MIDWEST AREA, AGRICULTURAL RESEARCH SERVICE
3606 EAST MT HOPE ROAD
EAST LANSING,MI 48823
Performing Department
AVIAN DISEASE & ONCOLOGY LAB
Non Technical Summary
Tremendous advances in breeding and husbandry have enabled the poultry industry to become the third largest agricultural commodity in the US and the primary meat consumed. As the industry continues to mature and becomes more consolidated, the economic impact of animal health and disease outbreaks grows. Immune cells are the first line of defense against infection. Consequently, to improve animal production and health, a greater understanding of the immune response to infectious agents is required. To identify the key components of the chicken immune response, we propose to profile gene expression in genetically defined chicken lines following infection with two economically important viruses: Marek's disease virus (MDV) and Avian leukosis virus (ALV). While both viruses infect lymphocytes and are oncogenic, there are many significant differences especially with respect to the immune response and the ability of the host to clear the virus. It is clear that the responses of individual cell types vary, and important localized or cell-specific responses can be lost when whole tissues or cell populations are analyzed. Therefore, we will utilize laser capture microdissection (LCM), cell sorting, and other biotechnologies to to fine tune studies on the chicken immune response. This proposal will lead to detailed knowledge on the immune response. In turn, the information can be directly transferred to the poultry industry for selecting animals with superior disease resistance that will enhance production, as well as the rational design of the next generation of vaccines.
Animal Health Component
50%
Research Effort Categories
Basic
50%
Applied
50%
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
3033210104025%
3033220104025%
3113210104025%
3113220104025%
Goals / Objectives
The specific aims of this proposal are: 1. Compare immune responses following Marek's disease virus (MDV) infection between susceptible and resistant lines of chickens. 2. Compare cytotoxic T lymphocyte (CTL) responses between strong and weak responders to avian leucosis virus (ALV) infection. 3. Integrate DNA microarray and protein results with whole genome sequencing.
Project Methods
Three aims are defined. Aim #1 compares the response of chicken cells to MDV infection. As described previously, we have shown gene expression changes in response to MDV infection in CEFs and between lymphocytes from MD resistant and susceptible chicken lines. We extend these studies by examining the cellular response in MDV-infected cells using laser capture micodissection (LCM) and comparing them to the surrounding uninfected cells. Taking advantage of our characterized inbred lines, we examine how genetic resistance status influences the response. Finally, in addition to profiling gene expression, we will isolate and characterize specific MDV-chicken protein complexes that include host proteins known to be important for the immune response and genetic resistance to MD. Incorporation of defined MDV mutants examines how perturbing key MDV-chicken interactions influence the composition of these functional complexes. Aim #2 is similar to aim #1 in that we will utilize DNA microarrays to profile gene expression changes in the immune response. In this aim, ALV subgroups A and J will be the infectious agents, which are known to produce strong or weak CTL responses depending on the MHC haplotype of the chicken. Revealing specific responses in CD4+ or CD8+ lymphocytes as a function of ALV subgroup-chicken MHC combination will provide basic knowledge on what genes are necessary or sufficient to elicit a strong CTL response against ALV. Aim #3 integrates and extends our results using bioinformatics. Comparisons will be made between gene profiling results and, for Aim #1 only, between proteins and their corresponding RNAs. The chicken genome sequence will be integrated by identifying positional candidate genes that confer genetic resistance to MD, and revealing common regulatory elements for key genes.

Progress 06/01/04 to 05/30/08

Outputs
OUTPUTS: Progress was made on a number of objectives. First, we were able to reproducibly demonstrate that we could isolate material using laser capture microdissection (LCM), and obtain quality results with our DNA microarrays that were confirmed by qRT-PCR. This result alleviates our concerns over limited material to work with. And it shows that are genes that are associated with resistance and susceptibility to Marek's disease. For example, we find that MHC class II genes are surprisingly upregulated in Marek disease virus (MDV) infected cells, which cannot be accounted for by the production of interferons. This is the only virus that we know which does this, and may reflect the unique cell-associated and lymphocyte-specific properties of MDV. Second, we addressed another problem, which are missing values in DNA microarray datasets. Using computational methods that estimate missing values, we can demonstrate meaningful analysis results, which extend our abilities to extract useful results. In short, the experiments are progressing well and materials are being gathered to replicate our initial findings. And third, we had generated fully infectious and virulent MDV BAC clones. The cloning of the entire viral genome combined with the ability to manipulate the sequence at the single base level allows us to make very specific and defined recombinant viruses. As part of this project, we have developed recombinant MDV-BAC clones in which each of several open reading frames (ORFs) are expressed as fusion products with tandem affinity purification (TAP) tags. These TAP tags allow virus-host protein complexes from cultured chicken cells to be recovered from whole cell lysates under near-physiological conditions. Through the use of liquid chromatography-tandem mass spectrometry technology, these studies, when completed, will allow identification of viral and host proteins interacting with each MDV ORF and provide targets for further examination of the role of these proteins in resistance to viral infection and/or pathogenesis. PARTICIPANTS: H. Cheng (Lead) provided overall supervision of the project. J. Burnside and R. Morgan performed the microarray analyses,. H. Hunt, T. Kim, and M. Niikura lead efforts on Marek's disease virus BAC cloning and immunological studies. M. Ouyang did all the bioinformatics. TARGET AUDIENCES: Poultry breeding companies, poultry vaccine companies, and scientists working on poultry or viruses. PROJECT MODIFICATIONS: Nothing significant to report during this reporting period.

Impacts
Identifying genes that confer resistance to Marek's disease is important for the poultry industry to continue improvement in genetic resistance as well as for scientists to understand the biological pathways. We were able to demonstrate that we can obtain reproducible results from a limited number of infected cells. Furthermore, computation methods were developed that could account for missing data points. These two advances suggest that we have the techniques in place to address our biological questions. Furthermore, we have demonstrated potential pathways that the virus uses to circumvent the chicken's immune system. Finally, by cloning MDV genomes, we could provide direct evidence that host genome acquisition by MDV actually occurs during virus replication, and that one or more such MDV genomes with host sequences may exist within MDV viral stocks which tend to be polyclonal, due to the cell-associated nature of its infection process. The infectious clones of the virus provided the complete sequence for comparative studies, and a platform for understanding virus gene function and developing new recombinant vaccines in the future.

Publications

  • Niikura, M., Dodgson, J, and Cheng, H.H. 2006. Stability of Marek's disease virus 132 bp repeats during serial in vitro passages. Archives of Virology 151:1431-1438.
  • Cogburn, L.A., Porter, T.E., Duclos, M.J., Simon, S.C., Burgess, S.C., Zhu, J.J., Cheng, H., Dodgson, J.B., and Burnside, J. 2007. Functional genomics of the chicken - a model organism. Poultry Sci. 86: 2059-2094.
  • Niikura, M., Kim, T., Hunt, H.D., Burnside, J., Morgan, R.W., Dodgson, J.B., and Cheng, H.H. 2007. Marek's disease virus up-regulates major histocompatibility complex class II cell surface expression in infected cells. Virology 359:212-219.
  • Jornsten, R., Ouyang, M., and Wang, H.Y. 2007. A meta-data based method for DNA microarray imputation. BMC Bioinformatics 8:109.
  • Mao, W., Niikura, M., Silva, R.F., and Cheng, H.H. 2008. Quantitative evaluation of viral fitness due to a single nucleotide polymorphism in the Marek's disease virus UL41 gene via an in vitro competition assay. J. Virol. Methods 148:125-131.
  • Cheng, H., Niikura, M., Kim, T., Mao, W., MacLea, K.S., Hunt, H., Dodgson, J., Burnside, J., Morgan, R., Ouyang, M., Lamont, S., Dekkers, J., Fulton, J., Soller, M., and Muir, W. 2008. Using integrative genomics to elucidate genetic resistance to Marek's disease in chickens. Developments in Biologicals (Karger, Basel), Vol 132.
  • Cheng, H.H. Integrating genomics to understand the Marek's disease virrus-chicken host-pathogen interaction. 2008. In Genomics of Disease, 23rd Stadler Symposium. P. Gustafson, G. Stacey, and J. Taylor, eds., in press.


Progress 10/01/06 to 09/30/07

Outputs
The cDNA microarrays were found to produce reliable, reproducible results only with highly expressed genes. This was due in part to the caveats of cDNA arrays, but also with the repeated amplifications needed to obtain adequate amounts of RNA from laser captured material. Affymetrix GeneChip arrays were made available and we compared cDNA to Affymetrix arrays and found the Affymetrix produced more reliable, reproducible results and extended the list of differentially expressed genes to include moderately and low abundantly expressed genes. However, we were unable to obtain sufficient laser captured RNA to apply to these arrays. The Affymetrix arrays were used to compare gene expression profiles in spleens from resistant and susceptible birds infected with MDV. The Berkeley RMA Express software was implemented for quality control evaluation and analysis. Differential expression of a subset of genes was confirmed using qRT-PCR. Data are now being annotated and analyzed further. Previously we had shown that MDV has a novel feature in that MHC class II is upregulated on the cell surface of infected cells. The mechanism may be controlled by two MDV proteins, LORF4 and R-LORF10, that directly interaction with MHC class II β chain and Ii, respectively. To test whether these MDV proteins are necessary for MHC class II upregulation, recombinant MDVs were generated that lacked LORF4 or R-LORF10. In vitro, both viruses show delayed and greatly reduced amounts of class II on the cell surface.

Impacts
Identifying genes that confer resistance to Marek's disease is important for the poultry industry to continue improvement in genetic resistance as well as for scientists to understand the biological pathways. We were able to demonstrate that we can obtain reproducible results from a limited number of infected cells. Furthermore, computation methods were developed that could account for missing data points. These two advances suggest that we have the techniques in place to address our biological questions. Furthermore, we have demonstrated one potential pathway that the virus uses to circumvent the chicken's immune system.

Publications

  • Cogburn, L.A., Porter, T.E., Duclos, M.J., Simon, S.C., Burgess, S.C., Zhu, J.J., Cheng, H., Dodgson, J.B., and Burnside, J. 2007. Functional genomics of the chicken - a model organism. Poultry Sci. 86: 2059-2094.
  • Niikura, M., Kim, T., Hunt, H.D., Burnside, J., Morgan, R.W., Dodgson, J.B., and Cheng, H.H. 2007. Marek's disease virus up-regulates major histocompatibility complex class II cell surface expression in infected cells. Virology 359:212-219.


Progress 10/01/05 to 09/30/06

Outputs
Identifying genes that confer resistance to Marek's disease is important for the poultry industry to continue improvement in genetic resistance as well as for scientists to understand the biological pathways. Using Affymetrix chicken microarrays, we have identified a set of genes that are differentially regulated between line 6 (disease resistant) and line 7 (disease susceptible) birds, at 4 days post inoculation with the Marek's disease virus. Several cytokines and their receptors (A19, AH221, chemotaxin 2, CD116) are expressed at higher levels in line 7 compared to line 6. However, cathelicidin, an antimicrobial peptide, and CD36 are expressed at higher levels in line 6. This shows there are genes that are associated with resistance and susceptibility to Marek's disease. This information enhances our understanding of Marek's disease resistance, and will provide a foundation to compare with other diseases.

Impacts
This study provides information to studies to further explore the biological basis for Marek's disease resistance, as well as providing a model for genetic resistance to other diseases. The specific genes and pathways may ultimately lead to improved methods for generating more disease resistance poultry or improved vaccines.

Publications

  • No publications reported this period


Progress 10/01/04 to 09/30/05

Outputs
A main limitation in progress using DNA microarrays has been the lack of material and the heterogeneity of infected tissues. We were able to reproducibly demonstrate that we could isolate material using laser capture microdissection (LCM), and obtain quality results with our DNA microarrays that were confirmed by qRT-PCR. This result alleviates our concerns over limited material to work with. And it shows that are genes that are associated with resistance and susceptibility to Marek's disease. For example, we find that MHC class II genes are surprisingly upregulated in Marek's disease virus (MDV) infected cells, which cannot be accounted for by the production of interferons. This is the only virus that we know which does this, and may reflect the unique cell-associated and lymphocyte-specific properties of MDV. Furthermore, we addressed another problem, which are missing values in DNA microarray datasets. Using computational methods that estimate missing values, we can demonstrate meaningful analysis results, which extend our abilities to extract useful results. In short, the experiments are progressing well and materials are being gathered to replicate our initial findings.

Impacts
Identifying genes that confer resistance to Marek's disease is important for the poultry industry to continue improvement in genetic resistance as well as for scientists to understand the biological pathways. We were able to demonstrate that we can obtain reproducible results from a limited number of infected cells. Furthermore, computation methods were developed that could account for missing data points. These two advances suggest that we have the techniques in place to address our biological questions.

Publications

  • No publications reported this period