Digital gene expression profiling analysis of childhood acute lymphoblastic leukemia

Ming Yi Zhao, Yan Yu, Min Xie, Ming Hua Yang, Shan Zhu, Liang Chun Yang, Rui Kang, Dao Lin Tang, Ling Ling Zhao, Li Zhi Cao

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)4321-4328
Number of pages8
JournalMolecular Medicine Reports
Volume13
Issue number5
DOIs
StatePublished - May 2016
Externally publishedYes

Fingerprint

Gene Expression Profiling
Precursor Cell Lymphoblastic Leukemia-Lymphoma
Gene expression
Genes
Gene Expression
Gene Ontology
Polymerase chain reaction
Reverse Transcription
Cell death
Transcription
Cell Differentiation
China
Cell Death
Down-Regulation
Ontology
Genome
Technology
Polymerase Chain Reaction
Population
Neoplasms

Keywords

  • Acute lymphoblastic leukemia
  • Digital gene expression profile
  • Pediatrics
  • Second-generation sequencing

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Medicine
  • Molecular Biology
  • Genetics
  • Oncology
  • Cancer Research

Cite this

Zhao, M. Y., Yu, Y., Xie, M., Yang, M. H., Zhu, S., Yang, L. C., ... Cao, L. Z. (2016). Digital gene expression profiling analysis of childhood acute lymphoblastic leukemia. Molecular Medicine Reports, 13(5), 4321-4328. https://doi.org/10.3892/mmr.2016.5089

Digital gene expression profiling analysis of childhood acute lymphoblastic leukemia. / Zhao, Ming Yi; Yu, Yan; Xie, Min; Yang, Ming Hua; Zhu, Shan; Yang, Liang Chun; Kang, Rui; Tang, Dao Lin; Zhao, Ling Ling; Cao, Li Zhi.

In: Molecular Medicine Reports, Vol. 13, No. 5, 05.2016, p. 4321-4328.

Research output: Contribution to journalArticle

Zhao, MY, Yu, Y, Xie, M, Yang, MH, Zhu, S, Yang, LC, Kang, R, Tang, DL, Zhao, LL & Cao, LZ 2016, 'Digital gene expression profiling analysis of childhood acute lymphoblastic leukemia', Molecular Medicine Reports, vol. 13, no. 5, pp. 4321-4328. https://doi.org/10.3892/mmr.2016.5089
Zhao, Ming Yi ; Yu, Yan ; Xie, Min ; Yang, Ming Hua ; Zhu, Shan ; Yang, Liang Chun ; Kang, Rui ; Tang, Dao Lin ; Zhao, Ling Ling ; Cao, Li Zhi. / Digital gene expression profiling analysis of childhood acute lymphoblastic leukemia. In: Molecular Medicine Reports. 2016 ; Vol. 13, No. 5. pp. 4321-4328.
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