Identification of microRNA-regulated pathways using an integration of microRNA-mRNA microarray and bioinformatics analysis in CD34+cells of myelodysplastic syndromes

被引:10
|
作者
Xu, Feng [1 ]
Zhu, Yang [1 ]
He, Qi [1 ]
Wu, Ling-Yun [1 ]
Zhang, Zheng [1 ]
Shi, Wen-Hui [1 ]
Liu, Li [1 ]
Chang, Chun-Kang [1 ]
Li, Xiao [1 ]
机构
[1] Shanghai Jiao Tong Univ, Affiliated Peoples Hosp 6, Dept Hematol, Shanghai, Peoples R China
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
基金
中国国家自然科学基金;
关键词
SCORING SYSTEM; IN-VIVO; CELLS; EXPRESSION; MDS; ERYTHROPOIESIS; MECHANISM; DIAGNOSIS; LEUKEMIA; TARGET;
D O I
10.1038/srep32232
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The effect of microRNA (miRNA) and targeted mRNA on signal transduction is not fully understood in myelodysplastic syndromes (MDS). Here, we tried to identify the miRNAs-regulated pathways through a combination of miRNA and mRNA microarray in CD34+ cells from MDS patients. We identified 34 differentially expressed miRNAs and 1783 mRNAs in MDS. 25 dysregulated miRNAs and 394 targeted mRNAs were screened by a combination of Pearson's correlation analysis and software prediction. Pathway analysis showed that several pathways such as Notch, PI3K/Akt might be regulated by those miRNA-mRNAs pairs. Through a combination of Pathway and miRNA-Gene or GO-Network analysis, miRNAs-regulated pathways, such as miR-195-5p/DLL1/Notch signaling pathway, were identified. Further qRT-PCR showed that miR-195-5p was up-regulated while DLL1 was down-regulated in patients with low-grade MDS compared with normal controls. Luciferase assay showed that DLL1 was a direct target of miR-195-5p. Overexpression of miR-195-5p led to increased cell apoptosis and reduced cell growth through inhibition of Notch signaling pathway. In conclusion, alteration expression of miRNAs and targeted mRNAs might have an important impact on cancer-related cellular pathways in MDS. Inhibition of Notch signaling pathway by miR-195-5p-DLL1 axis contributes to the excess apoptosis in low-grade MDS.
引用
收藏
页数:10
相关论文
共 41 条
  • [1] IDENTIFICATION OF MICRORNA-REGULATED PATHWAYS THROUGH AN INTEGRATION OF MICRORNA-MRNA MICROARRAY AND BIOINFORMATICS ANALYSIS IN CD34+CELLS OF MYELODYSPLASTIC SYNDROMES
    Xu, F.
    Shi, W.
    Liu, L.
    He, Q.
    Chang, C.
    Li, X.
    LEUKEMIA RESEARCH, 2015, 39 : S148 - S149
  • [2] Identification of microRNA-regulated pathways using an integration of microRNA-mRNA microarray and bioinformatics analysis in CD34+ cells of myelodysplastic syndromes
    Feng Xu
    Yang Zhu
    Qi He
    Ling-Yun Wu
    Zheng Zhang
    Wen-Hui Shi
    Li Liu
    Chun-Kang Chang
    Xiao Li
    Scientific Reports, 6
  • [3] Identification of microRNA-Regulated Pathways through a Integration of Mcrorna-mRNA Microarray and Bioinformatics Analysis in CD34+Cells of Myelodysplastic Syndromes
    Li, Xiao
    Feng, Xu
    Chang, Chunkang
    He, Qi
    Wu Lingyun
    BLOOD, 2014, 124 (21)
  • [4] Identification of microRNA-mRNA interactions in atrial fibrillation using microarray expression profiles and bioinformatics analysis
    Wang, Tao
    Wang, Bin
    MOLECULAR MEDICINE REPORTS, 2016, 13 (06) : 4535 - 4540
  • [5] Identification of microRNA-mRNA modules using microarray data
    Jayaswal, Vivek
    Lutherborrow, Mark
    Ma, David D. F.
    Yang, Yee H.
    BMC GENOMICS, 2011, 12
  • [6] Identification of microRNA-mRNA modules using microarray data
    Vivek Jayaswal
    Mark Lutherborrow
    David DF Ma
    Yee H Yang
    BMC Genomics, 12
  • [7] Bioinformatics analysis of microRNA profiles and identification of microRNA-mRNA network and biological markers in intracranial aneurysm
    Zhao, Ming
    Xu, Longbiao
    Qian, Hui
    MEDICINE, 2020, 99 (31) : E21186
  • [8] Bioinformatics analysis of mRNA profiles and identification of microRNA-mRNA network in CD4+ T cells in seasonal allergic rhinitis
    Jin, Peng
    Zhang, Hongping
    Zhu, Xilin
    Sun, Kaiyue
    Jiang, Tao
    Shi, Li
    Zhi, Lili
    Zhang, Hailing
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2022, 50 (08)
  • [9] Identification of Candidate MicroRNA-mRNA Subnetwork for Predicting the Osteosarcoma Progression by Bioinformatics Analysis
    Lu, Dejie
    Huang, Hanji
    Zheng, Li
    Li, Kanglu
    Cui, Xiaofei
    Qin, Xiong
    Zheng, Mingjun
    Huang, Nanchang
    Chen, Chaotao
    Zhao, Jinmin
    Zhu, Bo
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2022, 2022
  • [10] Identification of biomarkers and construction of a microRNA-mRNA regulatory network for ependymoma using integrated bioinformatics analysis
    Yang, Biao
    Dai, Jun-Xi
    Pan, Yuan-Bo
    Ma, Yan-Bin
    Chu, Sheng-Hua
    ONCOLOGY LETTERS, 2019, 18 (06) : 6079 - 6089