Using mathematical modelling of the Langerhans cell tolerogenic gene regulatory network to identify key molecular regulators of the tolerogenic progra

技能优先比对：定量生物学假设LC耐受能力由一个独特的基因调控网络(GRN)调节，该网络诱导与耐受LC计划相关的不同基因表达谱。目的1)研究LC群体中的细胞-细胞变异2)剖析LC中与耐受相关的独特基因表达谱，并确定调控LC耐受功能所必需的转录因子。3)建立LC耐受GRN的数学模型，用于在计算机模拟中定量预测产生耐受的输出基因的表达4)识别调节耐受反应的关键分子开关并在体外验证。

Skills Priority Alignment: Quantitative BiologyHypothesisLC tolerogenic ability is regulated by a unique gene regulatory network (GRN), which induces a distinct gene expression profile associated with the tolerogenic LC programme. Aims 1) Investigate cell-cell variation within LC populations.2) Dissect a unique gene expression profile associated with tolerance in LCs and identify the TFs essential for regulating LC tolerogenic function.3) Create a mathematical model of the LC tolerogenic GRN for quantitative in silico simulations that correctly predict the expression of tolerogenic output genes4) Identify the key molecular switches regulating tolerogenic responses and validate in vitro.