生物
重编程
核糖核酸
癌症研究
单细胞分析
血液肿瘤
癌症
计算生物学
细胞
基因
遗传学
作者
Xiaohui Shen,Peiyuan Dong,Jingjing Kong,Nannan Sun,Fang Wang,Lina Sang,Yan Xu,Mengmeng Zhang,Xiaoli Chen,Rong Guo,Rong Guo,Shuya Wang,Quande Lin,Zhongxing Jiang,Shan Xu,Congli Zhang,Zhilei Bian,Weimin Wang,Rongqun Guo,Rongqun Guo
摘要
Hematologic malignancies are the most common hematopoietic diseases and a major public health concern. However, the mechanisms underlying myeloid tumors remain unknown owing to the intricate interplay between mutations and diverse clonal evolution patterns, as evidenced by the analysis of bulk cell-derived omics data. Several single-cell omics techniques have been used to characterize the hierarchies and altered immune microenvironments of hematologic malignancies. The comprehensive single-cell atlas of hematologic malignancies provides novel opportunities for personalized combinatorial targeted treatments, avoiding unwanted chemo-toxicity. In the present study, we performed transcriptome sequencing by combining single-cell RNA sequencing (scRNA-seq) with a targeted oncogenic gene panel for acute myeloid leukemia, overcoming the limitations of scRNA-seq in detecting oncogenic mutations. The distribution of oncogenic IDH1, IDH2, and KRAS mutations in each cell type was identified in the bone marrow (BM) samples of each patient. Our findings suggest that ferroptosis and metabolic reprogramming are involved in the tumorigenesis and chemotherapy resistance of oncogenic mutation-carrying cells. Biological progression via IDH1, IDH2, and KRAS mutations arrests hematopoietic maturation. Our study findings provide a rationale for using primary BM cells for personalized treatment in clinical settings.
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