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Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells

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Identifying condition-related cell-cell communication events using supervised tensor analysis.

Qile Dai¹, Jingjing Yang², Michael P Epstein²

¹Department of Biostatistics and Bioinformatics, Emory University School of Public Health, Atlanta, GA 30322, USA; Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA.

American Journal of Human Genetics

|June 4, 2026

Summary

This summary is machine-generated.

STACCato is a new tool that analyzes cell-cell communication (CCC) events in biological data. It improves the identification of condition-related CCC events by addressing limitations in existing methods.

Keywords:

cell-cell communication multi-condition single-cell RNA-seq tensor-based regression

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Area of Science:

Computational biology
Single-cell genomics
Systems biology

Background:

Cell-cell communication (CCC) is crucial for biological processes and disease.
Existing methods for CCC analysis have limitations in interpretation, confounder adjustment, and dependency modeling.

Purpose of the Study:

To introduce STACCato, a novel supervised tensor analysis tool.
To address limitations in existing methods for identifying condition-related CCC events.

Main Methods:

STACCato utilizes a tensor-based regression model.
The model allows statistical inference of relationships between biological conditions and CCC events.
It accounts for confounders and dependencies among CCC events.

Main Results:

STACCato demonstrated improved inference of condition-related CCC events in simulations.
The tool showed superior performance on lupus scRNA-seq and autism snRNA-seq datasets.
Results indicate STACCato outperforms alternative methods.

Conclusions:

STACCato provides a comprehensive solution for analyzing condition-related CCC events.
The tool enhances understanding of biological processes and diseases through improved CCC inference.
STACCato is available as a free, open-source tool.