Related Experiment Video
Updated: Jun 18, 2026

Transcriptome Analysis of Single Cells
Published on: April 25, 2011
InterCellar enables interactive analysis and exploration of cell-cell communication in single-cell transcriptomic
Marta Interlandi1,2, Kornelius Kerl3, Martin Dugas4,5
1Institute of Medical Informatics, University of Münster, Münster, Germany. marta.interlandi@uni-muenster.de.
Abstract:
Deciphering cell-cell communication is a key step in understanding the physiology and pathology of multicellular systems. Recent advances in single-cell transcriptomics have contributed to unraveling the cellular composition of tissues and enabled the development of computational algorithms to predict cellular communication mediated by ligand-receptor interactions. Despite the existence of various tools capable of inferring cell-cell interactions from single-cell RNA sequencing data, the analysis and interpretation of the biological signals often require deep computational expertize. Here we present InterCellar, an interactive platform empowering lab-scientists to analyze and explore predicted cell-cell communication without requiring programming skills. InterCellar guides the biological interpretation through customized analysis steps, multiple visualization options, and the possibility to link biological pathways to ligand-receptor interactions. Alongside convenient data exploration features, InterCellar implements data-driven analyses including the possibility to compare cell-cell communication from multiple conditions. By analyzing COVID-19 and melanoma cell-cell interactions, we show that InterCellar resolves data-driven patterns of communication and highlights molecular signals through the integration of biological functions and pathways. We believe our user-friendly, interactive platform will help streamline the analysis of cell-cell communication and facilitate hypothesis generation in diverse biological systems.
More Related Videos
09:34A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
Published on: October 25, 2018
08:58Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
Published on: August 1, 2025
Related Concept Videos
Cell-surface Signaling
Cell Specific Gene Expression
Cell Specific Gene Expression
Overview of Cell Signaling
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
Overview of Cell-Matrix Interactions
Overview of Cell Signaling
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...