Dataset Information

Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure.

ABSTRACT: Hepatitis B virus (HBV) infection is a major cause of acute liver failure (ALF) in China, and mortality rates are high among patients who do not receive a matched liver transplant. This study aimed to determine potential mechanisms involved in HBV-ALF pathogenesis. Gene expression profiles under access numbers GSE38941 and GSE14668 were downloaded from the Gene Expression Omnibus database, including cohorts of HBV-ALF liver tissue and normal samples. Differentially expressed genes (DEGs) with false discovery rates (FDR) <0.05 and |log2(fold change)| >1 as thresholds were screened using the Limma package. Gene modules associated with stable disease were mined using weighed gene co-expression network analysis (WGCNA). A co-expression network was constructed and DEGs were analyzed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A gene-based network was constructed to explore major factors associated with disease progression. We identified 2238 overlapping DEGs as crucial gene cohorts in ALF development. Based on a WGCNA algorithm, 10 modules (modules 1-10) were obtained that ranged from 75 to 1078 genes per module. Cyclin-dependent kinase 1 (CDK1), cyclin B1 (CCNB1), and cell-division cycle protein 20 (CDC20) hub genes were screened using the co-expression network. Furthermore, 17 GO terms and 6 KEGG pathways were identified, such as cell division, immune response process, and antigen processing and presentation. Two overlapping signaling pathways that are crucial factors in HBV-ALF were screened using the Comprehensive Toxicogenomics Database (CTD). Several candidate genes including HLA-E, B2M, HLA-DPA1, and SYK were associated with HBV-ALF progression. Natural killer cell-mediated cytotoxicity and antigen presentation contributed to the progression of HBV-ALF. The HLA-E, B2M, HLA-DPA1, and SYK genes play critical roles in the pathogenesis and development of HBV-ALF.

SUBMITTER: Sun Y

PROVIDER: S-EPMC7549162 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure.

Sun Ying Y Yu Haitao H Li Fangfang F Lan Liqiang L He Daxin D Zhao Haijun H Qi Dachuan D

Evolutionary bioinformatics online 20201010

Hepatitis B virus (HBV) infection is a major cause of acute liver failure (ALF) in China, and mortality rates are high among patients who do not receive a matched liver transplant. This study aimed to determine potential mechanisms involved in HBV-ALF pathogenesis. Gene expression profiles under access numbers GSE38941 and GSE14668 were downloaded from the Gene Expression Omnibus database, including cohorts of HBV-ALF liver tissue and normal samples. Differentially expressed genes (DEGs) with fa ...[more]

PMID: 33100826

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Project description:BackgroundAcute liver failure (ALF) is a life-threatening complication that is relatively uncommon. ALF causes severe hepatocyte damage and necrosis, which can lead to liver dysfunction and even multi-organ failure. A growing body of evidence suggests that immune cell infiltration and some abnormally expressed genes are associated with ALF development. However, in ALF, they have yet to be thoroughly investigated.MethodsThe Gene Expression Omnibus (GEO) database was used to obtain microarray datasets such as GSE74000, GSE120652, GSE38941, and GSE14668, which were then examined via GEO2R to determine differentially expressed genes (DEGs) associated with ALF. Metascape was employed to annotate the underlined genes using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The mechanism of IGF1 in 2 different kinds of ALF including acetaminophen-induced ALF and hepatitis B virus (HBV)-induced ALF was studied using gene set enrichment analysis (GSEA). Next, immune cell infiltration was investigated and differentiated in ALF using CIBERSORT.ResultsSix genes (HAO2, IGF1, PLA2G7, SC5D, GNE, SLC1A1) were found to be abnormally expressed in the 2 distinct types of ALF i.e., acetaminophen-induced ALF and HBV-induced ALF. IGF1 was identified as a hub gene in ALF and was found to be associated with several developmental cascades including immune responses, inflammatory responses, and intracellular calcium homeostasis. Additionally, the number of CD4 naive T cells, CD8 T cells, and follicular helper T cells was increased in acetaminophen-induced ALF, whereas the number of activated NK cells, resting NK cells, and plasma cells was increased in HBV-induced ALF.ConclusionsThe present study determined a potential molecular target, namely IGF1, in acetaminophen-induced ALF and HBV-induced ALF, which may provide novel insights into the pathophysiology and management of ALF. Concurrently, the putative immunological pathways have been found.

Project description:ObjectiveGastric cancer (GC) is the fourth most common cause of cancer-related deaths in the world. In the current study, we aim to identify the hub genes and uncover the molecular mechanisms of GC.MethodsThe expression profiles of the genes and the miRNAs were extracted from the Gene Expression Omnibus database. The identification of the differentially expressed genes (DEGs), including miRNAs, was performed by the GEO2R. Database for Annotation, Visualization and Integrated Discovery was used to perform GO and KEGG pathway enrichment analysis. The protein-protein interaction (PPI) network and miRNA-gene network were constructed using Cytoscape software. The hub genes were identified by the Molecular Complex Detection (MCODE) plugin, the CytoHubba plugin and miRNA-gene network. Then, the identified genes were verified by Kaplan-Meier plotter database and quantitative real-time PCR (qRT-PCR) in GC tissue samples.ResultsA total of three mRNA expression profiles (GSE13911, GSE79973 and GSE19826) were downloaded from the Gene Expression Omnibus (GEO) database, including 69, 20 and 27cases separately. A total of 120 overlapped upregulated genes and 246 downregulated genes were identified. The majority of the DEGs were enriched in extracellular matrix organization, collagen catabolic process, collagen fibril organization and cell adhesion. In addition, three KEGG pathways were significantly enriched, including ECM-receptor interaction, protein digestion and absorption, and the focal adhesion pathways. In the PPI network, five significant modules were detected, while the genes in the modules were mainly involved in the ECM-receptor interaction and focal adhesion pathways. By combining the results of MCODE, CytoHubba and miRNA-gene network, a total of six hub genes including COL1A2, COL1A1, COL4A1, COL5A2, THBS2 and ITGA5 were chosen. The Kaplan-Meier plotter database confirmed that higher expression levels of these genes were related to lower overall survival, except for COL5A2. Experimental validation showed that the rest of the five genes had the same expression trend as predicted.ConclusionIn conclusion, COL1A2, COL1A1, COL4A1, THBS2 and ITGA5 may be potential biomarkers and therapeutic targets for GC. Moreover, ECM-receptor interaction and focal adhesion pathways play significant roles in the progression of GC.

Project description:Background:Chickpea isoflavones have been demonstrated to play an inhibitory role in breast cancer cells. In this study, we aimed to explore the mechanism of chickpea isoflavones inhibiting the formation and development of breast carcinoma through the integration of wet and dry experiments. Methods:Chickpea isoflavones were added to the MCF-7 cells for 48 hours, and the subsequent morphological changes of cells were observed using an inverted microscope, while apoptosis was quantified by flow cytometry. The mRNA and LncRNA expression profiles were detected by RNA-sequencing (RNA-Seq) technology. The protein-protein interaction (PPI) network was constructed from the STRINGdb database. To identify the co-expressed long non-coding RNA and messenger RNA (lncRNA-mRNA) pairs, Pearson's correlation coefficients were calculated based on the expression value between every differentially expressed lncRNA and mRNA pair. The hub gene expression was verified by quantitative reverse transcription polymerase chain reaction (qRT-PCR), and survival analysis results were provided by The Human Protein Atlas website. Results:Microscopic observation and flow cytometry results confirmed that chickpea isoflavones with a final concentration of 32.8 µg/mL could cause apoptosis of the MCF-7 cells. Transcriptome results showed that a total of 1,094 mRNAs and 378 lncRNAs were differentially expressed in isoflavone-treated cells. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment revealed that inhibition of cell proliferation was mainly due to the up-regulation of genes in the apoptosis signaling pathway and the down-regulation of genes in mRNA splicing pathway. The co-expressed genes of the top 10 down-regulated lncRNAs were mainly heterogeneous nuclear ribonucleoproteins (HNRNP) family genes, which interacted with apoptosis-related genes through ubiquitin C (UBC). The abnormal expression of 11 hub genes (degree >10) of PPI networks were beneficial to improve the overall survival time of breast cancer patients. Conclusions:Our results reveal a potential mechanism for chickpea isoflavones to inhibit MCF-7 breast cancer cell proliferation and provide a reference for the development of new anti-cancer drugs used in breast cancer.

Dataset Information

Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure.

Publications

Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure.

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