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NicheNet: modeling intercellular communication by linking ligands to target genes.
Nature Methods ( IF 36.1 ) Pub Date : 2019-12-09 , DOI: 10.1038/s41592-019-0667-5
Robin Browaeys 1, 2 , Wouter Saelens 1, 2 , Yvan Saeys 1, 2
Affiliation  

Computational methods that model how gene expression of a cell is influenced by interacting cells are lacking. We present NicheNet (https://github.com/saeyslab/nichenetr), a method that predicts ligand-target links between interacting cells by combining their expression data with prior knowledge on signaling and gene regulatory networks. We applied NicheNet to tumor and immune cell microenvironment data and demonstrate that NicheNet can infer active ligands and their gene regulatory effects on interacting cells.

中文翻译:

NicheNet:通过将配体连接到靶基因来模拟细胞间通讯。

缺乏模拟细胞的基因表达如何受相互作用细胞影响的计算方法。我们提出了 NicheNet (https://github.com/saeyslab/nichenetr),这是一种通过将它们的表达数据与信号和基因调控网络的先验知识相结合来预测相互作用细胞之间的配体-靶标联系的方法。我们将 NicheNet 应用于肿瘤和免疫细胞微环境数据,并证明 NicheNet 可以推断出活性配体及其对相互作用细胞的基因调控作用。
更新日期:2019-12-11
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