Identification of LncRNAs associated with dysregulated genes in leukemic blasts and leukemic stem cells(LSC) sorted from pediatric AML patients using system biology approaches
Identification of LncRNAs associated with dysregulated genes in leukemic blasts and leukemic stem cells(LSC) sorted from pediatric AML patients using system biology approaches
Mohammadmatin Nourikhani,1Seyed Armit Hosseini,2Hadis Sadeghi,3Amir Gholamzad,4Mehrdad Gholamzad,5,*
1. Department of Laboratory Medicine, Faculty of Paramedical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran 2. Department of Laboratory Medicine, Faculty of Paramedical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran 3. Department of Medicine, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran 4. Department of Laboratory Medicine, Faculty of Paramedical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran 5. Department of Microbiology and Immunology, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
Introduction: Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy with regard to the pathogenetic mechanism, clinical phenotype, and treatment outcome(1).Despite current treatments, the clinical outcome of patients with AML is commonly poor(2). Long noncoding RNA (LncRNA) is functional RNA, longer than 200 nucleotides without the potential for coding protein. Like protein-coding genes, lncRNAs are regulated by transcription factors and other regulators(3). Therefore, by discovering LncRNAs associated with genes involved in the AML , further experiments can be performed to identify pathways that lead to drug resistance ,as possible goals of inhibiting relapse.
Methods: Using the GEO database (GSE128103) and analyzing the expression profiles of genes of AML patients (leukemic blasts and leukemic stem cells(LSC)) genes were examined. Then, five more significantly different genes were identified and LncRNAs associated with genes involved in AML were identified through the LncRNA2Target v2.0 database.
Results: Based on the analysis of GEO2R software and using LncRNA2Target v2.0 database, five more LncRNAs were identified that were associated with genes involved in the AML, including: (MECOM=HIPSTR,NBAT1,TINCR. C13orf15=CAT2,NBAT1, TRO=NBAT1,TINCR, HLF=HIPSTR, CCL3=lnrCXCR4).
Conclusion: Considering the identification of three common LncRNAs between 5 different genes, it can be said that NBAT1 ,HIPSTR, TINCR are three of the main LncRNAs for therapeutic response in patients with AML. Therefore, with further testing, the identified LncRNAs, including TINCR and especially HIPSTR, NBAT1, can be mentioned as possible targets for inhibiting AML recurrence.
Keywords: Acute myeloid leukemia, system biology, LncRNAs