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Characterisation of transcriptional networks in blood stem and progenitor cells using high-throughput single cell gene expression analysis

机译:使用高通量单细胞基因表达分析在血液干转录网络和祖细胞的表征

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摘要

Cellular decision-making is mediated by a complex interplay of external stimuli with the intracellular environment, in particular transcription factor regulatory networks. Here we have determined the expression of a network of 18 key haematopoietic transcription factors (TFs) in 597 single primary blood stem and progenitor cells isolated from mouse bone marrow. We demonstrate that different stem/progenitor populations are characterised by distinctive TF expression states, and through comprehensive bioinformatic analysis reveal positively and negatively correlated TF pairings, including previously unrecognised relationships between Gata2, Gfi1 and Gfi1b. Validation using transcriptional and transgenic assays confirmed direct regulatory interactions consistent with a regulatory triad in immature blood stem cells, where Gata2 may function to modulate cross-inhibition between Gfi1 and Gfi1b. Single cell expression profiling therefore identifies network states and allows reconstruction of network hierarchies involved in controlling stem cell fate choices, and provides a blueprint for studying both normal development and human disease.
机译:外部刺激与细胞内环境(尤其是转录因子调节网络)之间复杂的相互作用介导了细胞的决策。在这里,我们确定了从小鼠骨髓中分离出来的597个单一原代干细胞和祖细胞中18个关键造血转录因子(TFs)网络的表达。我们证明了不同的茎/祖群体的特点是独特的TF表达状态,并通过全面的生物信息学分析揭示了正相关和负相关的TF配对,包括以前无法识别的Gata2,Gfi1和Gfi1b之间的关系。使用转录和转基因测定法进行的验证证实了与未成熟血干细胞中的调节三联体一致的直接调节相互作用,其中Gata2可能起到调节Gfi1和Gfi1b之间的交叉抑制作用。因此,单细胞表达谱分析可识别网络状态,并允许重建涉及控制干细胞命运选择的网络层次结构,并为研究正常发育和人类疾病提供了蓝图。

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