Transcriptome research identifies four hub genes related to primary myelofibrosis: a holistic research by weighted gene co-expression network analysis.

ABSTRACT:

Objectives

This study aimed to identify specific diagnostic as well as predictive targets of primary myelofibrosis (PMF).

Methods

The gene expression profiles of GSE26049 were obtained from Gene Expression Omnibus (GEO) dataset, WGCNA was constructed to identify the most related module of PMF. Subsequently, Gene Ontology (GO), Kyoto Encyclopedia Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA) and Protein-Protein interaction (PPI) network were conducted to fully understand the detailed information of the interested green module. Machine learning, Principal component analysis (PCA), and expression pattern analysis including immunohistochemistry and immunofluorescence of genes and proteins were performed to validate the reliability of these hub genes.

Results</

SUBMITTER: Li W 

PROVIDER: S-EPMC8544335 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature