Genomics Core Facility, Genetics and Development Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Physiol Genomics. 2011 Oct 20;43(20):1117-34. doi: 10.1152/physiolgenomics.00099.2011. Epub 2011 Aug 9.
Hematopoietic differentiation is strictly regulated by complex network of transcription factors that are controlled by ligands binding to cell surface receptors. Disruptions of the intricate sequences of transcriptional activation and suppression of multiple genes cause hematological diseases, such as leukemias, myelodysplastic syndromes, or myeloproliferative syndromes. From a clinical standpoint, deciphering the pattern of gene expression during hematopoiesis may help unravel disease-specific mechanisms in hematopoietic malignancies. Herein, we describe a human in vitro hematopoietic model system where lineage-specific differentiation of CD34(+) cells was accomplished using specific cytokines. Microarray and RNAseq-based whole transcriptome and exome analysis was performed on the differentiated erythropoietic, granulopoietic, and megakaryopoietic cells to delineate changes in expression of whole transcripts and exons. Analysis on the Human 1.0 ST exon arrays indicated differential expression of 172 genes (P < 0.0000001) and significant alternate splicing of 86 genes during differentiation. Pathway analysis identified these genes to be involved in Rac/RhoA signaling, Wnt/B-catenin signaling and alanine/aspartate metabolism. Comparison of the microarray data to next generation RNAseq analysis during erythroid differentiation demonstrated a high degree of correlation in gene (R = 0.72) and exon (R = 0.62) expression. Our data provide a molecular portrait of events that regulate differentiation of hematopoietic cells. Knowledge of molecular processes by which the cells acquire their cell-specific fate would be beneficial in developing cell-based therapies for human diseases.
造血分化受到转录因子复杂网络的严格调控,这些转录因子受配体与细胞表面受体结合的控制。多个基因转录激活和抑制的复杂序列的破坏会导致血液系统疾病,如白血病、骨髓增生异常综合征或骨髓增殖性综合征。从临床角度来看,破译造血过程中的基因表达模式可能有助于揭示造血恶性肿瘤中特定的疾病机制。在此,我们描述了一种体外人造血模型系统,其中使用特定的细胞因子完成 CD34+细胞的谱系特异性分化。对分化的红细胞、粒细胞和巨核细胞进行基于微阵列和 RNAseq 的全转录组和外显子组分析,以描绘整个转录物和外显子表达的变化。在人类 1.0 ST 外显子阵列上的分析表明,在分化过程中 172 个基因(P < 0.0000001)的表达差异和 86 个基因的显著选择性剪接。通路分析表明这些基因参与 Rac/RhoA 信号、Wnt/B-catenin 信号和丙氨酸/天冬氨酸代谢。将微阵列数据与红细胞分化过程中的下一代 RNAseq 分析进行比较,表明基因(R = 0.72)和外显子(R = 0.62)表达具有高度相关性。我们的数据提供了调控造血细胞分化的事件的分子特征。了解细胞获得其细胞特异性命运的分子过程将有助于开发针对人类疾病的基于细胞的治疗方法。