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Pathway-centric visualization of cell-cell communication in single-cell transcriptomics data

npj Systems Biology and Applications, vol. 12

Abstract

Single-nuclei transcriptomics enables investigating ligand-receptor mediated cell-cell communication between different cell-types. However, current tools do not allow for non-programmatic means to access this analysis. Additionally, most methods can not account for molecular pathways involved in downstream receptor signaling in cell-cell communication. We developed scVizComm, a ShinyApp based web-portal that can be used to interactively visualize ligand-receptor networks across cell-types and different conditions. scVizComm can be used to host pathway centric pre-calculated cell-cell communication results. Using human kidney and heart single-nuclei transcriptomics data, we showcase the utility of scVizComm in understanding ligand-receptor interactions involved in fibrosis related pathways. Additionally using mouse anterior brain data, we demonstrate the major ligand-receptor expression exploration in space. scVizComm allows interactive visualization and pathway centric prioritization of cell-cell communication analyses.

Authors 4

  1. Universitätsklinikum Aachen

    Affiliation as printed

    Department of Medicine 2, Uniklinik, Aachen, NRW, Germany

    Department of Medicine 2, Uniklinik, Pauwelsstraße 30, Aachen, 52074, NRW, Germany

  2. Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Institute for Computational Genomics, Uniklinik, Aachen, NRW, Germany

    Institute for Computational Genomics, Uniklinik, Pauwelsstraße 30, Pauwelsstraße 30, Aachen, 5074, NRW, Germany

  3. Universitätsklinikum Aachen

    Affiliation as printed

    Department of Medicine 2, Uniklinik, Aachen, NRW, Germany

    Department of Medicine 2, Uniklinik, Pauwelsstraße 30, Aachen, 52074, NRW, Germany

  4. Universitätsklinikum Aachen · Icahn School of Medicine at Mount Sinai

    Affiliation as printed

    Cardiovascular Research Institute and Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. shayat@ukaachen.de

    Department of Medicine 2, Uniklinik, Aachen, NRW, Germany. shayat@ukaachen.de

    Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. shayat@ukaachen.de

    Department of Medicine 2, Uniklinik, Pauwelsstraße 30, Aachen, 52074, NRW, Germany

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References 21