KAT7 is a genetic vulnerability of acute myeloid leukemias driven by MLL rearrangements.
Yan Zi AuMuxin GuEtienne De BraekeleerMalgorzata GozdeckaDemetrios AsprisYusuke TarumotoJonathan CooperJason S L YuSwee Hoe OngXi ChenKonstantinos TzelepisBrian James Patrick HuntlyGeorge S VassiliouKosuke YusaPublished in: Leukemia (2020)
Histone acetyltransferases (HATs) catalyze the transfer of an acetyl group from acetyl-CoA to lysine residues of histones and play a central role in transcriptional regulation in diverse biological processes. Dysregulation of HAT activity can lead to human diseases including developmental disorders and cancer. Through genome-wide CRISPR-Cas9 screens, we identified several HATs of the MYST family as fitness genes for acute myeloid leukemia (AML). Here we investigate the essentiality of lysine acetyltransferase KAT7 in AMLs driven by the MLL-X gene fusions. We found that KAT7 loss leads to a rapid and complete loss of both H3K14ac and H4K12ac marks, in association with reduced proliferation, increased apoptosis, and differentiation of AML cells. Acetyltransferase activity of KAT7 is essential for the proliferation of these cells. Mechanistically, our data propose that acetylated histones provide a platform for the recruitment of MLL-fusion-associated adaptor proteins such as BRD4 and AF4 to gene promoters. Upon KAT7 loss, these factors together with RNA polymerase II rapidly dissociate from several MLL-fusion target genes that are essential for AML cell proliferation, including MEIS1, PBX3, and SENP6. Our findings reveal that KAT7 is a plausible therapeutic target for this poor prognosis AML subtype.
Keyphrases
- acute myeloid leukemia
- genome wide
- dna methylation
- cell cycle arrest
- poor prognosis
- induced apoptosis
- copy number
- allogeneic hematopoietic stem cell transplantation
- crispr cas
- cell proliferation
- endoplasmic reticulum stress
- signaling pathway
- cell death
- long non coding rna
- pi k akt
- oxidative stress
- genome wide identification
- high throughput
- gene expression
- body composition
- genome editing
- climate change
- squamous cell carcinoma
- fatty acid
- machine learning
- artificial intelligence
- electronic health record
- drug induced
- single cell
- intensive care unit
- acute respiratory distress syndrome
- cell cycle
- quantum dots
- induced pluripotent stem cells
- data analysis