To better understand the interaction between attenuated vaccines and host antiviral responses, we used bioinformatics and public transcriptomics data to analyze the immune response mechanisms of host cells after canine distemper virus (CDV) infection in Vero cells and screened for potential key effector factors. In this study, CDV-QN-1 infect with Vero cells at an MOI of 0.5, and total RNA was extracted from the cells 24 h later and reverse transcribed into cDNA. Transcriptome high-throughput sequencing perform using Illumina. The results showed that 438 differentially expressed genes were screened, of which 409 were significantly up-regulated and 29 were significantly down-regulated. Eight differentially expressed genes were randomly selected for RT-qPCR validation, and the change trend was consistent with the transcriptomics data. GO and KEGG analysis of differentially expressed genes revealed that most of the differentially expressed genes in CDV-QN-1 infection in the early stage were related to immune response and antiviral activity. The enriched signaling pathways mainly included the interaction between cytokines and cytokine receptors, the NF-kappa B signaling pathway, the Toll-like receptor signaling pathway, and the NOD-like receptor signaling pathway. This study provides a foundation for further exploring the pathogenesis of CDV and the innate immune response of host cells in the early stage of infection.
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http://dx.doi.org/10.1016/j.micpath.2024.106786 | DOI Listing |
Cancer Cell Int
December 2024
Department of Applied Chemistry, Graduate Institute of Biomedicine and Biomedical Technology, National Chi Nan University, Puli, Taiwan.
Introduction: Chronic alcohol consumption and tobacco usage are major risk factors for esophageal squamous cell carcinoma (ESCC). Excessive tobacco and alcohol consumption lead to oxidative stress and the generation of reactive carbonyl species (RCS) which induce DNA damage and cell apoptosis. This phenomenon contributes to cell damage and carcinogenesis in various organs including ESCC.
View Article and Find Full Text PDFEur J Med Res
December 2024
Department of Ophthalmology, Zhongshan City People's Hospital, Zhongshan, Guangdong, China.
Background: Age-related macular degeneration (AMD), is a neurodegenerative ocular disease. This study investigated the role of ferroptosis-related genes and their interaction with immune cell infiltration in AMD.
Methods: We screened differential expression genes (DEGs) of AMD from data sets in Gene Expression Omnibus.
Diabetol Metab Syndr
December 2024
Department of Ophthalmology, The Second Hospital, Cheeloo College of Medicine, Shandong University, No. 247, Beiyuan Street, Jinan City, Shandong Province, China.
Background: Growing evidence suggests a link between systemic lipopolysaccharide (LPS) exposure and worsening diabetic retinopathy (DR). This study aims to investigate DR's pathogenesis by analyzing LPS-related genes (LRGs) through bioinformatics.
Methods: The CTD database was utilized to identify LRGs.
Brief Bioinform
November 2024
Guangdong Provincial Clinical Research Center for Geriatrics; Shenzhen Clinical Research Center for Geriatrics, Shenzhen People's Hospital, the Second Clinical Medical College of Jinan University, the First Affiliated Hospital of Southern University of Science and Technology, 1017 Dongmen Rd N, Luohu District, Shenzhen 518020, China.
Sepsis, caused by infections, sparks a dangerous bodily response. The transcriptional expression patterns of host responses aid in the diagnosis of sepsis, but the challenge lies in their limited generalization capabilities. To facilitate sepsis diagnosis, we present an updated version of single-cell Pair-wise Analysis of Gene Expression (scPAGE) using transfer learning method, scPAGE2, dedicated to data fusion between single-cell and bulk transcriptome.
View Article and Find Full Text PDFMicrob Pathog
December 2024
Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China. Electronic address:
The presence of the Hepatitis B virus (HBV) is considered as a valuable risk factor of hepatocellular carcinoma (HCC). To more deeply comprehend the molecular mechanism and transcriptome of HBV-induced HCC, we utilized tandem mass tagging (TMT)-based quantitative proteomics analysis and whole-transcriptome sequencing to analyze three sets of matched HepG2 hepatoma cells and HBV-positive HepAD38 cells. The differentially expressed (DE) proteins (1596), mRNAs (5263), miRNAs (581), lncRNAs (2672) and circRNAs (222) were subjected to differential expression and enrichment analyses in order to thoroughly assess the gene-regulatory circuits of HBV-induced HCC.
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