Volume 29, Issue 3
DOI: 10.24205/03276716.2020.938
Identification of Key Regulators of Myeloproliferative Neoplasms Based on Relevant Network Analysis
Abstract
Myeloproliferative neoplasm is a common disease in the hematology department clinically with high mortality. In this study, we focused on the key regulators of myeloproliferative neoplasms to identify the molecular mechanisms of disease based on relevant network analysis. We performed differentially expressed gene analysis on disease samples of myeloproliferative neoplasms and clustered them into co-expression modules by WGCNA. A network analysis of functions and pathways was performed on the set of modules to identify the mechanism of action of key factors. Finally, based on the predictive analysis of multidimensional regulators, it was identified that a series of ncRNAs and transcription factors have potential regulatory effects on myeloproliferative tumorassociated factors. In result, we obtained 1069 differential genes, which were clustered into 9 modules and found 9 hub genes. Statistical analysis found that these modular genes participated in the negative and positive regulation of cytokine production and immune system process signaling pathways. In addition, network connectivity analysis screened 17 intracellular genes (including IL8, EP300 and CD74) regulating module genes. Finally, key regulators of significant regulatory block genes were determined, including 43 transcription factors (including E2F1, GATA1 and NFKB1) and 553 ncRNAs (including miR139-5p, miR-106b-5p and miR-381-) 3p, etc.) These results can provide a new way for biologists and medical scientists to study myeloproliferative neoplasms as well as a valuable reference for subsequent treatment options.
Keywords
Myeloproliferative Neoplasms, Expression Disorder Factors, Key Regulatory Factors, Enrichment Analysis, WGCNA