Genome-wide repression of eRNA and target gene loci by the ETV6-RUNX1 fusion in acute leukemia.
Susanna TeppoSaara LaukkanenThomas LiuksialaJessica NordlundMikko OittinenKaisa TeittinenToni GrönroosPascal St-OngeDaniel SinnettAnn-Christine SyvänenMatti NykterKeijo ViiriMerja HeinäniemiOlli LohiPublished in: Genome research (2016)
Approximately 20%-25% of childhood acute lymphoblastic leukemias carry the ETV6-RUNX1 (E/R) fusion gene, a fusion of two central hematopoietic transcription factors, ETV6 (TEL) and RUNX1 (AML1). Despite its prevalence, the exact genomic targets of E/R have remained elusive. We evaluated gene loci and enhancers targeted by E/R genome-wide in precursor B acute leukemia cells using global run-on sequencing (GRO-seq). We show that expression of the E/R fusion leads to widespread repression of RUNX1 motif-containing enhancers at its target gene loci. Moreover, multiple super-enhancers from the CD19+/CD20+-lineage were repressed, implicating a role in impediment of lineage commitment. In effect, the expression of several genes involved in B cell signaling and adhesion was down-regulated, and the repression depended on the wild-type DNA-binding Runt domain of RUNX1. We also identified a number of E/R-regulated annotated and de novo noncoding genes. The results provide a comprehensive genome-wide mapping between E/R-regulated key regulatory elements and genes in precursor B cell leukemia that disrupt normal B lymphopoiesis.
Keyphrases
- genome wide
- transcription factor
- dna binding
- copy number
- genome wide identification
- dna methylation
- acute lymphoblastic leukemia
- single cell
- poor prognosis
- wild type
- acute myeloid leukemia
- induced apoptosis
- bone marrow
- gene expression
- escherichia coli
- cancer therapy
- intensive care unit
- high resolution
- rna seq
- binding protein
- allogeneic hematopoietic stem cell transplantation
- cell cycle arrest
- cell death
- drug delivery
- long non coding rna
- signaling pathway
- molecular dynamics
- respiratory failure
- hepatitis b virus
- density functional theory
- cell fate
- bioinformatics analysis