Integrated transcriptomic and epigenetic data analysis identifiesaberrant expression of genes in acute myeloid leukemia
with MLL‑AF9 translocation Corrigendum in /10.3892/mmr.2021.12295

Wang,Fangce; Li,Zheng; Wang,Guangming; Tian,Xiaoxue; Zhou,Jie; Yu,Wenlei; Fan,Zhuoyi; Dong,Lin; Lu,Jinyuan; Xu,Jun; Zhang,Wenjun; Liang,Aibin

doi:10.3892/mmr.2019.10849

Integrated transcriptomic and epigenetic data analysis identifiesaberrant expression of genes in acute myeloid leukemia with MLL‑AF9 translocation

Corrigendum in: /10.3892/mmr.2021.12295

Authors:
- Fangce Wang
- Zheng Li
- Guangming Wang
- Xiaoxue Tian
- Jie Zhou
- Wenlei Yu
- Zhuoyi Fan
- Lin Dong
- Jinyuan Lu
- Jun Xu
- Wenjun Zhang
- Aibin Liang
View Affiliations

Affiliations: Department of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China, Medical Center for Stem Cell Engineering and Transformation, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China
Published online on: November 26, 2019 https://doi.org/10.3892/mmr.2019.10849
Pages: 883-893
Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Rearrangement of the mixed lineage leukemia (MLL; also known as lysine methyltransferase 2A) gene is a recurrent genomic aberration in acute myeloid leukemia (AML). MLLT3, super elongation complex subunit (AF9) is one of the most common MLL fusion partners in AML. The present study aimed to explore the aberrant expression of genes associated with the MLL‑AF9 translocation and identified potential new targets for the therapy of AML with MLL‑AF9 translocation. The transcriptomic and epigenetic datasets were downloaded from National Center of Biotechnology Information Gene Expression Omnibus (GEO) database. Differentially expressed genes were obtained from two independent datasets (GSE68643 and GSE73457). Gene Ontology biological process and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed using the Database for Annotation, Visualization and Integrated Discovery. MLL‑AF9‑associated chromatin immunoprecipitation sequencing (ChIP‑Seq) data was analyzed and identified binding sites for MLL‑AF9 and wild type MLL (MLL WT). The ChIP‑Seq of histone modification data was downloaded from the GEO database, including histone 3 lysine 4 trimethylation (H3K4me3), histone 3 lysine 79 dimethylation (H3K79me2) and histone 3 lysine 27 acetylation (H3K27ac), was used for comparing histone modification marks between the MLL‑AF9 leukemia cells and normal hematopoietic cells at MLL‑AF9 and MLL WT binding sites. The differentially expressed genes with the same trend in H3K79me2, H3K27ac and H3K4me3 alteration were identified as potential MLL‑AF9 direct target genes. Upon validation using RNA‑Seq data from the Therapeutically Applicable Research to Generate Effective Treatments AML project, eight potential direct target genes of MLL‑AF9 were identified and further confirmed in MLL‑AF9 mouse model using reverse transcription‑quantitative polymerase chain reaction. These genes may have a critical role in AML with MLL‑AF9 translocation.

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