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Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
Published on: March 31, 2016
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Cell Type Specific Inference of Perturbations in Synaptic Communication with MultiNeuronChat
Gianluca Volkmer1, Jens Hjerling-Leffler1, Lisa Bast1
1Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 17177 Stockholm, Sweden.
Biorxiv : the Preprint Server for Biology
|November 26, 2025
Summary
MultiNeuronChat enhances cell communication analysis from single-nucleus RNA sequencing data. This framework precisely identifies altered neuron-neuron and neuron-glia communication pathways at the cell type pair level, aiding disease research.
Area of Science:
- Neuroscience
- Genomics
- Computational Biology
Background:
- Single-nucleus RNA sequencing (snRNA-seq) enables studying cellular communication.
- Current methods lack cell type pair resolution for differential communication analysis.
- Understanding altered cell communication is crucial for disease and developmental studies.
Purpose of the Study:
- To develop a high-resolution framework for inferring differential neuron-neuron and neuron-glia communication.
- To enable analysis at the cell type pair level using snRNA-seq data.
- To improve biological and medical insights from communication pathway alterations.
Main Methods:
- MultiNeuronChat framework integrating snRNA-seq gene expression data.
- Utilizes a comprehensive database of cell adhesion molecules, gap junctions, and synaptic transmission.
- Performs differential analysis of cell communication at the cell type pair level.
Main Results:
- Accurate and efficient prediction of cell type-specific perturbations in silico.
- Identification of known and novel communication pathways in Alzheimer's disease patient data.
- Demonstrated sensitivity in detecting subtle communication changes.
Conclusions:
- MultiNeuronChat provides a highly resolved method for analyzing cell communication from snRNA-seq data.
- The framework enhances understanding of cell type-specific communication alterations in disease contexts.
- Donor-specific communication scores can inform patient stratification and personalized medicine.
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