Digital gene expression profiling analysis of childhood acute lymphoblastic leukemia
Zhao Ming-Yi
Yu Yan
Xie Min
Yang Minghua
Zhu Shan
Yang Liang-Chun
Kang Rui
Tang Daolin
Zhao Ling-Ling
Cao Lizhi
· 2016
期刊名称:
Molecular Medicine Reports
2016 年
13 卷
5 期
摘要:
Acute lymphoblastic leukemia (ALL) is the most commonly diagnosed malignancy in children. It is a heterogeneous disease, and is determined by multiple gene alterations and chromosomal rearrangements. To improve current understanding of the underlying molecular mechanisms of ALL, the present study profiled genome-wide digital gene expression (DGE) in a population of children with ALL in China. Using second-generation sequencing technology, the profiling revealed that 2,825 genes were upregulated and 1,952 were downregulated in the ALL group. Based on the DGE profiling data, the present study further investigated seven genes (WT1, RPS26, MSX1, CD70, HOXC4, HOXA5 and HOXC6) using reverse transcription-quantitative polymerase chain reaction analysis. Gene Ontology analysis suggested that the differentially expressed genes were predominantly involved in immune cell differentiation, metabolic processes and programmed cell death. The results of the present study provided novel insights into the gene expression patterns in children with ALL.