Transcription factor Nkx2-3 maintains the self-renewal of hematopoietic stem cells by regulating mitophagy.
Mengjia HuNaicheng ChenMo ChenFang ChenYukai LuYang XuLijing YangHao ZengMingqiang ShenXuehong ChenShilei ChenFengchao WangSong WangJun-Ping WangPublished in: Leukemia (2023)
Hematopoietic stem cells (HSCs) reside at the top of the hematopoietic hierarchy, exhibiting a unique capacity to self-renew and differentiate into all blood cells throughout the lifetime. However, how to prevent HSC exhaustion during long-term hematopoietic output is not fully understood. Here, we show that the homeobox transcription factor Nkx2-3 is required for HSC self-renewal by preserving metabolic fitness. We found that Nkx2-3 is preferentially expressed in HSCs with excessive regenerative potential. Mice with conditional deletion of Nkx2-3 displayed a reduced HSC pool and long-term repopulating capacity as well as increased sensitivity to irradiation and 5-flurouracil treatment due to impaired HSC quiescence. In contrast, overexpression of Nkx2-3 improved HSC function both in vitro and in vivo. Furthermore, mechanistic studies revealed that Nkx2-3 can directly control the transcription of the critical mitophagy regulator ULK1, which is essential for sustaining metabolic homeostasis in HSCs by clearing activated mitochondria. More importantly, a similar regulatory role of NKX2-3 was observed in human cord blood-derived HSCs. In conclusion, our data demonstrate an important role of the Nkx2-3/ULK1/mitophagy axis in regulating the self-renewal of HSCs, therefore providing a promising strategy to improve the function of HSCs in the clinic.
Keyphrases
- transcription factor
- stem cells
- bone marrow
- cord blood
- induced apoptosis
- dna binding
- single cell
- metabolic syndrome
- cell death
- type diabetes
- computed tomography
- magnetic resonance
- cell cycle arrest
- primary care
- body composition
- nlrp inflammasome
- magnetic resonance imaging
- electronic health record
- contrast enhanced
- physical activity
- deep learning
- big data
- adipose tissue
- risk assessment
- insulin resistance
- endoplasmic reticulum
- tissue engineering
- pi k akt
- high fat diet induced