RUNX1 deficiency cooperates with SRSF2 mutation to induce multilineage hematopoietic defects characteristic of MDS.
Yi-Jou HuangJia-Yu ChenMing YanAmanda G DavisSayuri MiyauchiLiang ChenYajing HaoSigrid KatzRafael BejarOmar Abdel-WahabXiang-Dong FuDong-Er ZhangPublished in: Blood advances (2022)
Myelodysplastic syndromes (MDS) are a heterogeneous group of hematologic malignancies with propensity to progress to acute myeloid leukemia (AML). Causal mutations in multiple classes of genes have been identified in MDS patients with some patients harboring more than one mutation. Interestingly, double mutations tend to occur in different classes, rather than the same class of genes, as exemplified by frequent co-occurring mutations in the transcription factor RUNX1 and the splicing factor SRSF2. This prototypic double mutant provides an opportunity to understand how their divergent functions in transcription and post-transcriptional regulation may be altered to jointly promote MDS. Here we report a mouse model in which Runx1 knockout was combined with the Srsf2 P95H mutation to cause multi-lineage hematopoietic defects. Besides their additive and synergistic effects, we also unexpectedly noted a degree of antagonizing activity of single mutations in specific hematopoietic progenitors. To uncover the mechanism, we further developed a cellular model using human K562 cells and performed parallel gene expression and splicing analyses in both human and murine contexts. Strikingly, while RUNX1 deficiency was responsible for altered transcription in both single and double mutants, it also induced dramatic changes in global splicing, as seen with mutant SRSF2, and only their combination induced mis-splicing of genes selectively enriched in the DNA damage response and cell cycle checkpoint pathways. Collectively, these data reveal the convergent impact of a prototypic MDS-associated double mutant on RNA processing and suggest that aberrant DNA damage repair and cell cycle regulation critically contribute to MDS development.
Keyphrases
- cell cycle
- transcription factor
- genome wide identification
- acute myeloid leukemia
- cell proliferation
- dna damage
- endothelial cells
- genome wide
- dna damage response
- gene expression
- high glucose
- bone marrow
- wild type
- mouse model
- dna binding
- end stage renal disease
- diabetic rats
- induced apoptosis
- dna methylation
- oxidative stress
- chronic kidney disease
- ejection fraction
- dna repair
- bioinformatics analysis
- newly diagnosed
- drug induced
- single cell
- allogeneic hematopoietic stem cell transplantation
- replacement therapy
- pluripotent stem cells
- cancer therapy
- drug delivery
- signaling pathway
- prognostic factors
- machine learning
- patient reported outcomes
- smoking cessation
- deep learning