IEEE模糊系统会刊TFS(IEEE Transactions on Fuzzy Systems)是由IEEE所属神经网络联合会发起和创办的一种新出版物。刊登有关模糊系统的理论、设计和应用方面的高质量技术论文,特别重视工程系统和科学应用,同时刊登信息以及有关其所载文章的评论和反驳。 官网地址:http://dblp.uni-trier.de/db/journals/tfs/

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A blood cell lineage consists of several consecutive developmental stages from the pluri- or multipotent stem cell to a state of terminal differentiation. Despite their importance for human biology, the regulatory pathways and gene networks that govern these differentiation processes are not yet fully understood. This is in part due to challenges associated with delineating the interactions between transcription factors (TFs) and their target genes. A possible path forward in this issue is provided by increasingly available expression data as a basis for linking differentiation stages and gene activities. Here, we present a novel hierarchical approach to identify characteristic expression peak patterns that global regulators expose along the differentiation path of cell lineages. Based on such simple patterns, we identify cell state-specific marker genes and extract TFs that likely drive their differentiation. Integration of the mean expression values of stage-specific key player genes yields a distinct peaking pattern for each lineage that is used to identify further genes in the dataset behaving similarly. Incorporating the set of TFs which regulate these genes incurred at a set of stage-specific regulators controlling the biological process of cell fate. As proof of concept, we consider two expression datasets covering key differentiation events in blood cell formation of mice.

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