» Articles » PMID: 31819264

NicheNet: Modeling Intercellular Communication by Linking Ligands to Target Genes

Overview
Journal Nat Methods
Date 2019 Dec 11
PMID 31819264
Citations 712
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

NLRP4 unlocks an NK/macrophages-centered ecosystem to suppress non-small cell lung cancer.

Meng Z, Li J, Wang H, Cao Z, Lu W, Niu X Biomark Res. 2025; 13(1):44.

PMID: 40087771 DOI: 10.1186/s40364-025-00756-4.


Astrocytic pleiotrophin deficiency in the prefrontal cortex contributes to stress-induced depressive-like responses in male mice.

Chi D, Zhang K, Zhang J, He Z, Zhou H, Huang W Nat Commun. 2025; 16(1):2528.

PMID: 40087317 DOI: 10.1038/s41467-025-57924-1.


Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes.

Zhang X, Li L, Shi X, Zhao Y, Cai Z, Ni N Front Immunol. 2025; 16:1534928.

PMID: 40078998 PMC: 11897234. DOI: 10.3389/fimmu.2025.1534928.


Mapping glioma progression: single-cell RNA sequencing illuminates cell-cell interactions and immune response variability.

Li X, Chen S, Ding M, Ding H, Yang K Discov Oncol. 2025; 16(1):302.

PMID: 40072722 PMC: 11903997. DOI: 10.1007/s12672-025-01903-x.


Adapting systems biology to address the complexity of human disease in the single-cell era.

Fischer D, Villanueva M, Winter P, Shalek A Nat Rev Genet. 2025; .

PMID: 40065155 DOI: 10.1038/s41576-025-00821-6.


References
1.
Yosef N, Regev A . Writ large: Genomic dissection of the effect of cellular environment on immune response. Science. 2016; 354(6308):64-68. PMC: 5111631. DOI: 10.1126/science.aaf5453. View

2.
Tanay A, Regev A . Scaling single-cell genomics from phenomenology to mechanism. Nature. 2017; 541(7637):331-338. PMC: 5438464. DOI: 10.1038/nature21350. View

3.
Stahl P, Salmen F, Vickovic S, Lundmark A, Fernandez Navarro J, Magnusson J . Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. Science. 2016; 353(6294):78-82. DOI: 10.1126/science.aaf2403. View

4.
Rodriques S, Stickels R, Goeva A, Martin C, Murray E, Vanderburg C . Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution. Science. 2019; 363(6434):1463-1467. PMC: 6927209. DOI: 10.1126/science.aaw1219. View

5.
Eng C, Lawson M, Zhu Q, Dries R, Koulena N, Takei Y . Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH. Nature. 2019; 568(7751):235-239. PMC: 6544023. DOI: 10.1038/s41586-019-1049-y. View