Evidence map›Paper›PMID 31789407›Full record

ArticleMolecular medicine reports2020

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

Fangce Wang, Zheng Li, Guangming Wang, Xiaoxue Tian, Jie Zhou, Wenlei Yu, Zhuoyi Fan, Lin Dong, Jinyuan Lu, Jun Xu and 2 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Fangce Wang *Department of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Zheng Li *Department of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Guangming WangDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Xiaoxue TianDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Jie ZhouDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Wenlei YuDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Zhuoyi FanDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Lin DongDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Jinyuan LuDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Jun XuMedical Center for Stem Cell Engineering and Transformation, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Wenjun ZhangDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Aibin LiangDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Tongji University · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AnimalsBone Marrow TransplantationChromatin Immunoprecipitation SequencingDatabases, GeneticDisease Models, AnimalEpigenomeFemaleGene Expression Regulation, NeoplasticGene OntologyHistonesHumansLeukemia, Myeloid, AcuteMiceMice, Inbred C57BLMyeloid-Lymphoid Leukemia ProteinOncogene Proteins, FusionHistonesMLL-AF9 fusion protein, humanMyeloid-Lymphoid Leukemia ProteinOncogene Proteins, FusionbioinformaticsMll-aF9 translocationtranscriptomic and epigenetic abnormalities

Identifiers

PMID31789407
PMCPMC6947934
OpenAlexW2990416414

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.