CRKL but not CRKII contributes to hemin-induced erythroid differentiation of CML.
Chunmei GuoXinxin LvQiuling ZhangLina YiYingying RenZhaopeng LiJinsong YanShanliang ZhengMing-Zhong SunShuqing LiuPublished in: Journal of cellular and molecular medicine (2024)
Destruction of erythropoiesis process leads to various diseases, including thrombocytopenia, anaemia, and leukaemia. miR-429-CT10 regulation of kinase-like (CRKL) axis involved in development, progression and metastasis of cancers. However, the exact role of miR-429-CRKL axis in leukaemic cell differentiation are still unknown. The current work aimed to uncover the effect of miR-429-CRKL axis on erythropoiesis. In the present study, CRKL upregulation was negatively correlated with miR-429 downregulation in both chronic myeloid leukaemia (CML) patient and CR patient samples. Moreover, CRKL expression level was significantly decreased while miR-429 expression level was increased during the erythroid differentiation of K562 cells following hemin treatment. Functional investigations revealed that overexpression and knockdown of CRKL was remarkably effective in suppressing and promoting hemin-induced erythroid differentiation of K562 cells, whereas, miR-429 exhibited opposite effects to CRKL. Mechanistically, miR-429 regulates erythroid differentiation of K562 cells by downregulating CRKL via selectively targeting CRKL-3'-untranslated region (UTR) through Raf/MEK/ERK pathway. Conversely, CRKII had no effect on erythroid differentiation of K562 cells. Taken together, our data demonstrated that CRKL (but not CRKII) and miR-429 contribute to development, progression and erythropoiesis of CML, miR-429-CRKL axis regulates erythropoiesis of K562 cells via Raf/MEK/ERK pathway, providing novel insights into effective diagnosis and therapy for CML patients.
Keyphrases
- cell proliferation
- long non coding rna
- induced apoptosis
- long noncoding rna
- cell cycle arrest
- poor prognosis
- pi k akt
- signaling pathway
- computed tomography
- cell death
- magnetic resonance imaging
- deep learning
- dendritic cells
- machine learning
- ejection fraction
- endoplasmic reticulum stress
- magnetic resonance
- artificial intelligence
- patient reported outcomes
- positron emission tomography
- contrast enhanced
- chronic myeloid leukemia
- patient reported