Analysis of the protein-protein interaction networks of differentially expressed genes in pulmonary embolism

نویسندگان

  • HAO WANG
  • CHEN WANG
  • LEI ZHANG
  • YINGHUA LU
  • QIANGLIN DUAN
  • ZHU GONG
  • AIBIN LIANG
  • HAOMING SONG
  • LEMIN WANG
چکیده

The aim of the present study was to explore the function and interaction of differentially expressed genes (DEGs) in pulmonary embolism (PE). The gene expression profile GSE13535, was downloaded from the Gene Expression Omnibus database. The DEGs 2 and 18 h post‑PE initiation were identified using the affy package in R software. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the DEGs were analyzed using Database for Annotation Visualization and Integrated Discovery (DAVID) online analytical tools. In addition, protein‑protein interaction (PPI) networks of the DEGs were constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins. The PPI network at 18 h was modularized using Clusterone, and a functional enrichment analysis of the DEGs in the top three modules was performed with DAVID. Overall, 80 and 346 DEGs were identified 2 and 18 h after PE initiation, respectively. The KEGG pathways, including chemokine signaling and toll‑like receptor signaling, were shown to be significantly enriched. The five highest degree nodes in the PPI networks at 2 or 18 h were screened. The module analysis of the PPI network at 18 h revealed 11 hub nodes. A Gene Ontology terms analysis demonstrated that the DEGs in the top three modules were associated with the inflammatory, defense and immune responses. The results of the present study suggest that the DEGs identified, including chemokine‑related genes TFPI2 and TNF, may be potential target genes for the treatment of PE. The chemokine signaling pathway, inflammatory response and immune response were explored, and it may be suggested that these pathways have important roles in PE.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using the Protein-protein Interaction Network to Identifying the Biomarkers in Evolution of the Oocyte

Background Oocyte maturity includes nuclear and cytoplasmic maturity, both of which are important for embryo fertilization. The development of oocyte is not limited to the period of follicular growth, and starts from the embryonic period and continues throughout life. In this study, for the purpose of evaluating the effect of the FSH hormone on the expression of genes, GEO access codes for this...

متن کامل

Identification of diagnostic biomarkers by bioinformatics analysis in the inflamed and non-inflamed intestinal mucosa in Crohn\'s disease patients

Background: Crohn's disease (CD) is a type of inflammatory bowel disease (IBD) which despite the unknown details is generally related to genetic, immune system, and environmental factors. In this study, we identify transcriptional signatures in patients with CD and then explain the potential molecular mechanisms in inflamed and non-inflamed intestinal mucosa in these patients. Materials and Me...

متن کامل

Identification and prioritization genes related to Hypercholesterolemia QTLs using gene ontology and protein interaction networks

Gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. Familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. Hypercholesterolemia is a quantitativ...

متن کامل

Introducing Albumin and Interleukin 6 As Common Critical Dysregulated Protein Between Migraine and Gliosarcoma

Introduction: It is reported that migraine may be risk factor of brain cancers. Since the one of the best ways to assess this possible relationship is molecular mechanism study, here the common central dysregulated proteins between these diseases are investigated via network analysis. Methods: The dysregulated proteins of migraine and gliosarcoma are extracted from STRING database and interact...

متن کامل

Construction and Analysis of Tissue-Specific Protein-Protein Interaction Networks in Humans

We have studied the changes in protein-protein interaction network of 38 different tissues of the human body. 123 gene expression samples from these tissues were used to construct human protein-protein interaction network. This network is then pruned using the gene expression samples of each tissue to construct different protein-protein interaction networks corresponding to different studied ti...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2015