Computational Systems Biology Team, Institut de Biologie de l'Ecole Normale Supérieure, CNRS UMR8197, INSERM U1024, Ecole Normale Supérieure, Paris Sciences et Lettres Research University, 75005 Paris, France;
Hematopoietic Stem Cells, Transdifferentiation, and Reprogramming Team, Gene Regulation, Stem Cells, and Cancer Program, Center for Genomic Regulation, Barcelona Institute for Biotechnology, 08003 Barcelona, Spain.
Proc Natl Acad Sci U S A. 2017 Jun 6;114(23):5792-5799. doi: 10.1073/pnas.1610622114.
Blood cells are derived from a common set of hematopoietic stem cells, which differentiate into more specific progenitors of the myeloid and lymphoid lineages, ultimately leading to differentiated cells. This developmental process is controlled by a complex regulatory network involving cytokines and their receptors, transcription factors, and chromatin remodelers. Using public data and data from our own molecular genetic experiments (quantitative PCR, Western blot, EMSA) or genome-wide assays (RNA-sequencing, ChIP-sequencing), we have assembled a comprehensive regulatory network encompassing the main transcription factors and signaling components involved in myeloid and lymphoid development. Focusing on B-cell and macrophage development, we defined a qualitative dynamical model recapitulating cytokine-induced differentiation of common progenitors, the effect of various reported gene knockdowns, and the reprogramming of pre-B cells into macrophages induced by the ectopic expression of specific transcription factors. The resulting network model can be used as a template for the integration of new hematopoietic differentiation and transdifferentiation data to foster our understanding of lymphoid/myeloid cell-fate decisions.
血细胞来源于一组共同的造血干细胞,这些干细胞分化为髓系和淋巴系更特异的祖细胞,最终分化为成熟细胞。这个发育过程受一个复杂的调控网络控制,包括细胞因子及其受体、转录因子和染色质重塑因子。我们利用公共数据和我们自己的分子遗传学实验(定量 PCR、Western blot、EMSA)或全基因组分析(RNA-seq、ChIP-seq),组装了一个全面的调控网络,包含了参与髓系和淋巴系发育的主要转录因子和信号成分。我们专注于 B 细胞和巨噬细胞的发育,定义了一个定性的动态模型,该模型可以再现细胞因子诱导共同祖细胞分化的过程、各种已报道的基因敲低的影响,以及特定转录因子异位表达诱导前 B 细胞向巨噬细胞重编程的过程。所得的网络模型可作为整合新的造血分化和转分化数据的模板,以促进我们对淋巴/髓系细胞命运决定的理解。