[HTML][HTML] Applications and analytical tools of cell communication based on ligand-receptor interactions at single cell level

F Ma, S Zhang, L Song, B Wang, L Wei, F Zhang - Cell & Bioscience, 2021 - Springer
… of ligand-receptor interaction for intercellular communication … tools for ligand-receptor
interactions on single-cell level. … ligand-receptor interactions in cell communication research. …

Cellinker: a platform of ligandreceptor interactions for intercellular communication analysis

Y Zhang, T Liu, J Wang, B Zou, L Li, L Yao… - …, 2021 - academic.oup.com
… L–R interactions that play roles in cellcell communication. We aimed to provide a useful
platform for studies on cellcell communication mediated by L–R interactions. The current …

CellPhoneDB: inferring cellcell communication from combined expression of multi-subunit ligandreceptor complexes

M Efremova, M Vento-Tormo, SA Teichmann… - Nature protocols, 2020 - nature.com
ligandreceptor interactions between two cell states on the basis of expression of a receptor
by one cell state and a ligand by another cell … , the percentage of cells expressing the gene …

Cellular communication in a 'virtual lab': going beyond the classical ligand-receptor interaction

MM Gladka - Cardiovascular research, 2020 - academic.oup.com
communication by ligandreceptor interaction and (B) NicheNet-constructed approach to
prioritize ligandreceptor interactions … (C) Data integration to predict a ligand-target gene link. …

[HTML][HTML] Deciphering cellcell interactions and communication from gene expression

E Armingol, A Officer, O Harismendy… - Nature Reviews …, 2021 - nature.com
… Juxtacrine, that is, contact-dependent, cellcell communication relies on … communication
has increased our understanding of stem cell fates and revealed ligandreceptor interactions

CellTalkDB: a manually curated database of ligandreceptor interactions in humans and mice

X Shao, J Liao, C Li, X Lu, J Cheng… - Briefings in …, 2021 - academic.oup.com
… Our results could facilitate the inference and understanding of the LR-interaction-based
cellcell communications, which might provide new insights into the mechanism underlying …

Cellenboost: a boosting-based ligand-receptor interaction identification model for cell-to-cell communication inference

L Peng, R Yuan, C Han, G Han, J Tan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
… ith ligand/the jth receptor in scRNA-seq data and m cell types {… Li,k1 /Lj,k2 of ligand i/receptor
j in a cell type Ck1 /Ck2 . Next, … scores ligand i-receptor j interaction that mediates two cell

CellDialog: A Computational Framework for Ligand-receptor-mediated Cell-cell Communication Analysis III

L Peng, W Xiong, C Han, Z Li… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
… Chen, “Cellcomnet: A heterogeneous deep learning-based ligandreceptor interaction
identification framework for cell-cell communication inference,” Computer in Biology and Medicine, …

CellCall: integrating paired ligandreceptor and transcription factor activities for cellcell communication

Y Zhang, T Liu, X Hu, M Wang, J Wang… - Nucleic acids …, 2021 - academic.oup.com
… Nichenet built an integrated network including ligand receptors, intracellular signaling and
interactions were predicted). Although SingleCellSignalR collected intracellular signaling

[HTML][HTML] Identification of cell-to-cell interactions by ligand-receptor pairs in human fetal heart

L Zhang, X Shi, C Gu, B Chen, M Wang, Y Yu… - … et Biophysica Acta (BBA …, 2020 - Elsevier
ligand-receptor pairs including 65 ligands and 58 receptors specifically expressed in one of
the nine cell … In this study, we identified that the cell-cell communication had spatial patterns …