Reframing macrophage diversity with network motifs.
Reframing macrophage diversity with network motifs.
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DOI：
10.1016/j.it.2023.10.009
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发表时间：
2023-11
影响因子：
16.8
通讯作者：
Gabriela A Pizzurro;K. Miller-Jensen
中科院分区：
文献类型：
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作者：
Gabriela A Pizzurro;K. Miller-Jensen
将巨噬细胞活化分为炎症性或消退性的二元分类不能捕捉组织中观察到的巨噬细胞状态的多样性。然而，将巨噬细胞活化框定为连续的状态谱忽略了调节和协调巨噬细胞反应的细胞内和细胞外网络。在这里，我们认为，系统生物学概念的网络图案，其中包括当地的分子相互作用的规则，是有用的重构巨噬细胞激活。由于网络基序可用于调节不同的生物功能，因此它们提供了一个简化的单元，可以在生物体，组织和疾病背景中进行比较。此外，将巨噬细胞状态定义为由网络基序调节的功能模块的组合，提供了一个框架，以最终预测和靶向复杂环境中产生的巨噬细胞反应。
A binary classification of macrophage activation as inflammatory or resolving does not capture the diversity of macrophage states observed in tissues. However, framing macrophage activation as a continuous spectrum of states overlooks the intracellular and extracellular networks that regulate and coordinate macrophage responses. Here, we suggest that the systems biology concept of network motifs, which incorporate rules of local molecular interactions, is useful for reframing macrophage activation. Because network motifs can be used to regulate distinct biological functions, they offer a simplified unit that can be compared across organismal, tissue, and disease contexts. Moreover, defining macrophage states as combinations of functional modules regulated by network motifs offers a framework to ultimately predict and target macrophage responses arising in complex environments.