Difference analysis of myeloid leukemia fusion oncogene expression network based on time series
10.16462/j.cnki.zhjbkz.2020.03.006
- Author:
Hui-hui WANG
1
;
Jian SA
;
Hong-yan CAO
;
Yue-hua CUI
Author Information
1. Department of Health Statistics，Shanxi Medical University，Taiyuan 030001，China(
- Publication Type:Journal Article
- Keywords:
AML;
Fusion oncogene;
Hub gene;
Network difference analysis;
Time series gene expression data
- From:
Chinese Journal of Disease Control & Prevention
2020;24(3):274-277，289
- CountryChina
- Language:Chinese
-
Abstract:
Objective Focusing on four types acute myeloid leukemia ( AML) fusion oncogenes，so as to explore the network difference with time series expression data and further identify important genes in networks． Methods Gene network difference analysis was conducted while focusing on the global attributes of the union network． The CompNet neighborhood similarity index ( CNSI) was adopted to assess network similarity．“fast-greedy”algorithm was used to detect communities based on the union network，and further identify hub genes． Ｒesults The CNSI value between NUP98-HOXA9-3 d and NUP98-HOXA9-8 d was 0． 73，while AML1-ETO-6 h and PML-ＲAＲA-6 h was 0．25． We identified ten AML associated genes and sev- en of them ( TNF，VEGFA，EP300，EGF，CD44，PTGS2，SMAD3) were reported in the literature． Conclu- sions The network difference analysis revealed the pattern and heterogeneity of AML gene expression change across different time points，and further provided target genes for efficient treatment of AML with different types of fusion oncogenes．
