Deciphering cell–cell interactions and communication from gene expression
E Armingol, A Officer, O Harismendy… - Nature Reviews …, 2021 - nature.com
Cell–cell interactions orchestrate organismal development, homeostasis and single-cell
functions. When cells do not properly interact or improperly decode molecular messages …
functions. When cells do not properly interact or improperly decode molecular messages …
Recent developments in application of single-cell RNA sequencing in the tumour immune microenvironment and cancer therapy
The advent of single-cell RNA sequencing (scRNA-seq) has provided insight into the tumour
immune microenvironment (TIME). This review focuses on the application of scRNA-seq in …
immune microenvironment (TIME). This review focuses on the application of scRNA-seq in …
Inference and analysis of cell-cell communication using CellChat
Understanding global communications among cells requires accurate representation of cell-
cell signaling links and effective systems-level analyses of those links. We construct a …
cell signaling links and effective systems-level analyses of those links. We construct a …
Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
Z Liu, D Sun, C Wang - Genome Biology, 2022 - Springer
Background Cell-cell interactions are important for information exchange between different
cells, which are the fundamental basis of many biological processes. Recent advances in …
cells, which are the fundamental basis of many biological processes. Recent advances in …
CellTalkDB: a manually curated database of ligand–receptor interactions in humans and mice
Cell–cell communications in multicellular organisms generally involve secreted ligand–
receptor (LR) interactions, which is vital for various biological phenomena. Recent …
receptor (LR) interactions, which is vital for various biological phenomena. Recent …
Revealing the transcriptional heterogeneity of organ‐specific metastasis in human gastric cancer using single‐cell RNA sequencing
H Jiang, D Yu, P Yang, R Guo, M Kong… - Clinical and …, 2022 - Wiley Online Library
Background Deciphering intra‐and inter‐tumoural heterogeneity is essential for
understanding the biology of gastric cancer (GC) and its metastasis and identifying effective …
understanding the biology of gastric cancer (GC) and its metastasis and identifying effective …
The diversification of methods for studying cell–cell interactions and communication
No cell lives in a vacuum, and the molecular interactions between cells define most
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …
Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk
Spatially resolved transcriptomics provides genetic information in space toward elucidation
of the spatial architecture in intact organs and the spatially resolved cell-cell …
of the spatial architecture in intact organs and the spatially resolved cell-cell …
Uncovering an organ's molecular architecture at single-cell resolution by spatially resolved transcriptomics
Revealing fine-scale cellular heterogeneity among spatial context and the functional and
structural foundations of tissue architecture is fundamental within biological research and …
structural foundations of tissue architecture is fundamental within biological research and …
Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies
Carcinomas are complex ecosystems composed of cancer, stromal and immune cells.
Communication between these cells and their microenvironments induces cancer …
Communication between these cells and their microenvironments induces cancer …