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Methylome Analysis in Chickens Immunized with Infectious Laryngotracheitis Vaccine.


ABSTRACT: In this study we investigated the methylome of chickens immunized with Infectious laryngotracheitis (ILT) vaccine derived from chicken embryos. Methyl-CpG binding domain protein-enriched genome sequencing (MBD-Seq) method was employed in the detection of the 1,155 differentially methylated regions (DMRs) across the entire genome. After validation, we ascertained the genomic DMRs distribution and annotated them regarding genes, transcription start sites (TSS) and CpG islands. We found that global DNA methylation decreased in vaccinated birds, presenting 704 hypomethylated and 451 hypermethylated DMRs, respectively. Additionally, we performed an enrichment analysis detecting gene networks, in which cancer and RNA post-transcriptional modification appeared in the first place, followed by humoral immune response, immunological disease and inflammatory disease. The top four identified canonical pathways were EIF2 signaling, regulation of EIF4 and p70S6K signaling, axonal guidance signaling and mTOR signaling, providing new insight regarding the mechanisms of ILT etiology. Lastly, the association between DNA methylation and differentially expressed genes was examined, and detected negative correlation in seventeen of the eighteen genes.

SUBMITTER: Carrillo JA 

PROVIDER: S-EPMC4481310 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Methylome Analysis in Chickens Immunized with Infectious Laryngotracheitis Vaccine.

Carrillo José A JA   He Yanghua Y   Luo Juan J   Menendez Kimberly R KR   Tablante Nathaniel L NL   Zhao Keji K   Paulson Joseph N JN   Li Bichun B   Song Jiuzhou J  

PloS one 20150624 6


In this study we investigated the methylome of chickens immunized with Infectious laryngotracheitis (ILT) vaccine derived from chicken embryos. Methyl-CpG binding domain protein-enriched genome sequencing (MBD-Seq) method was employed in the detection of the 1,155 differentially methylated regions (DMRs) across the entire genome. After validation, we ascertained the genomic DMRs distribution and annotated them regarding genes, transcription start sites (TSS) and CpG islands. We found that global  ...[more]

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