Growth retardation induced by avian leukosis virus subgroup J associated with down-regulated Wnt/β-catenin pathway

Feng, Weiguo; Zhou, Defang; Wei, Meng; Li, Gen; Zhuang, Pingping; Pan, Zhifang; Wang, Guihua; Cheng, Ziqiang

doi:10.1016/j.micpath.2017.01.013

Cited by 21 publications

(16 citation statements)

References 33 publications

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“…IHC was performed as previous study ( 12 ). The tissue sample was blocked by 0.3% H 2 O 2 and blocked by 10% bovine serum albumin (BSA) for 25 min.…”

Section: Methodsmentioning

confidence: 99%

Identification of the key genes and pathways in prostate cancer

et al. 2018

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Prostate cancer (PCa) is one of the most common malignancies in men globally. The aim of the present study was to identify the key genes and pathways involved in the occurrence of PCa. Gene expression profile (GSE55945) was downloaded from Gene Expression Omnibus, and the differentially expressed genes (DEGs) were identified. Subsequently, Gene ontology analysis, KEGG pathway analysis and protein-protein interaction (PPI) analysis of DEGs were performed. Finally, the identified key genes were confirmed by immunohistochemistry. The GO analysis results showed that the DEGs were mainly participated in cell cycle, cell division, cell development and cell junction. The KEGG pathway analysis showed that the DEGs were mainly enriched in proteoglycans in cancer, endocytosis, focal adhesion and hippo signaling pathway. The PPI analysis results showed that RPS21, FOXO1, BIRC5, POLR2H, RPL22L1 and NPM1 were the key genes involved in the occurrence of PCa, and the Module analysis indicated that the occurrence of PCa was associated with cell cycle, oocyte meiosis and ribosome biogenesis. IHC result showed that the expression of RPS21, BIRC5, POLR2H, RPL22L1 and NPM1 were significantly upregulated in PCa, while the expression of FOXO1 was significantly downregulated in PCa, matching with the bioinformatics analysis. Taken together, several key genes and pathways were identified involved in PCa, which might provide the potential biomarker for prognosis, diagnosis and drug targets.

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“…IHC was performed as previous study ( 12 ). The tissue sample was blocked by 0.3% H 2 O 2 and blocked by 10% bovine serum albumin (BSA) for 25 min.…”

Section: Methodsmentioning

confidence: 99%

Identification of the key genes and pathways in prostate cancer

et al. 2018

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“…The TCF4 (aka TCF7L2) was another important hub-TF also previously associated with feed efficiency in pigs (Fan et al, 2010). This TF was described with an important role in the Wnt signaling pathway (Feng et al, 2017), myogenic development (Anakwe, 2003), vascular smooth muscle cell proliferation (Zhuang et al, 2016), and the TGF-β signaling pathway (Contreras et al, 2016). In this study, the TCF4 was predicted to regulate the hub genes F13A1, EFEMP1, and THSB3, previously identified as DE for RFI in muscle samples from the same population (Tizioto et al, 2016).…”

Section: Regulatory Elementsmentioning

confidence: 88%

Potential Biomarkers for Feed Efficiency-Related Traits in Nelore Cattle Identified by Co-expression Network and Integrative Genomics Analyses

Lima

Diniz

et al. 2020

Front. Genet.

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Feed efficiency helps to reduce environmental impacts from livestock production, improving beef cattle profitability. We identified potential biomarkers (hub genes) for feed efficiency, by applying co-expression analysis in Longissimus thoracis RNA-Seq data from 180 Nelore steers. Six co-expression modules were associated with six feed efficiency-related traits (p-value ≤ 0.05). Within these modules, 391 hub genes were enriched for pathways as protein synthesis, muscle growth, and immune response. Trait-associated transcription factors (TFs) ELF1, ELK3, ETS1, FLI1, and TCF4, were identified with binding sites in at least one hub gene. Gene expression of CCDC80, FBLN5, SERPINF1, and OGN was associated with multiple feed efficiency-related traits (FDR ≤ 0.05) and were previously related to glucose homeostasis, oxidative stress, fat mass, and osteoblastogenesis, respectively. Potential regulatory elements were identified, integrating the hub genes with previous studies from our research group, such as the putative cis-regulatory elements (eQTLs) inferred as affecting the PCDH18 and SPARCL1 hub genes related to immune system and adipogenesis, respectively. Therefore, our analyses contribute to a better understanding of the biological mechanisms underlying feed efficiency in bovine and the hub genes disclosed can be used as biomarkers for feed efficiency-related traits in Nelore cattle.

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“…Up to now, it has been reported that ALV-J can proliferate in multiple chicken cells, such as DF-1 cells, primary chicken embryo fibroblast (CEF), natural killer (NK) cells, DCs and macrophages ( Landman et al, 2002 ; Liu et al, 2016b ; Feng M. et al, 2017 ; Feng W. et al, 2017 ). Although DF-1 cells and CEF are commonly used for the replication of ALV-J, no overt changes (tumor growth or cytopathic effect) were observed in these cells upon ALV-J infection, so both cells are difficult to be used as the target cell model for the research of pathogenic mechanisms ( Feng W. et al, 2017 ). As for NK cells, only one paper reported that NK cells were susceptible to ALV-J, with reduced killing activity ( Landman et al, 2002 ).…”

Section: Discussionmentioning

confidence: 99%

Avian Leukosis Virus Subgroup J Attenuates Type I Interferon Production Through Blocking IκB Phosphorylation

Lin

Yan

et al. 2018

Front. Microbiol.

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Avian leukosis virus subgroup J (ALV-J) is an oncogenic retrovirus that causes immunosuppression and enhances susceptibility to secondary infection, resulting in great economic losses. Although ALV-J-induced immunosuppression has been well established, the underlying molecular mechanism for such induction is still unclear. Here, we report that the inhibitory effect of ALV-J infection on type I interferon expression is associated with the down-regulation of transcriptional regulator NF-κB in host cells. We found that ALV-J possess the inhibitory effect on type I interferon production in HD11 cells and that ALV-J causes the up-regulation of IκBα and down-regulation of NF-κB p65, and that ALV-J blocks the phosphorylation of IκBα on Ser32/36 amino acid residues. Collectively, our findings provide insights into the pathogenesis of ALV-J.

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Growth retardation induced by avian leukosis virus subgroup J associated with down-regulated Wnt/β-catenin pathway

Cited by 21 publications

References 33 publications

Identification of the key genes and pathways in prostate cancer

Identification of the key genes and pathways in prostate cancer

Potential Biomarkers for Feed Efficiency-Related Traits in Nelore Cattle Identified by Co-expression Network and Integrative Genomics Analyses

Avian Leukosis Virus Subgroup J Attenuates Type I Interferon Production Through Blocking IκB Phosphorylation

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