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Transcriptional Profiling of Meq-dependent Genes in Marek’s Disease Resistant and Susceptible Inbred Chicken Lines

dataset
posted on 2024-06-11, 07:08 authored by USDA-ADOL, CMIB, Michigan State University
Marek’s disease (MD) is an economically significant disease in chickens caused by the highly oncogenic Marek’s disease virus (MDV). Understanding the genes and biological pathways that confer MD genetic resistance should lead towards the development of more disease resistant commercial poultry flocks or improved MD vaccines. MDV Meq, a bZIP transcription factor, is largely attributed for viral oncogenicity though only a few host target genes have been described, which has impeded our understanding of MDV-induced tumorigenesis. Given the importance of Meq in MDV-induced pathogenesis, we explored the role of Meq in genetic resistance to MDV. Using global transcriptome analysis to compare the host response between birds challenge with either wild type MDV or a recombinant lacking Meq, we identified a number of specific genes and pathways associated with either MD resistance. Integrating prior information from ChIP-seq, microarray analysis, and SNPs exhibiting allele-specific expression (ASE) in response to MDV infection from two inbred layer lines that differ greatly in MD genetic resistance, we were able to provide a evidence for 35 genes that SNPs within transcription factor binding sites can affect transcription factor binding and gene expression in an allele-specific manner. Overall design: Transcript profiling of CEF's (a chicken embryo fibroblast cell line) from MD susceptible and resistant lines using Affymetrix chicken GeneChips

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2013-07-01

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

transcriptome; gene expression

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA210200

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA210200 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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