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CrossTalker

DOI Maintenance GitHub license GitHub release

James S. Nagai1, Nils B. Leimkühler2, Rebekka K. Schneider2,3,4, Ivan G. Costa1*

1Institute for Computational Genomics, Faculty of Medicine, RWTH Aachen University, Aachen, 52074 Germany

2Department of Hematology, Erasmus Medical Center, Rotterdam, 3015GD, the Netherlands

3Department of Cell Biology, Institute for Biomedical Engineering, Faculty of Medicine,RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, NRW, Germany

4Oncode Institute, Erasmus Medical Center, Rotterdam, 3015GD, the Netherlands

scheme

Motivation: Ligand-receptor (LR) analysis allows the characterization of cellular crosstalk from single cell RNA-seq data. However, current LR methods provide limited approaches for prioritization of cell types, ligands or receptors or characterizing changes in crosstalk between two biological conditions.

Results: CrossTalkeR is a framework for network analysis and visualisation of LR networks. CrossTalkeR identifies relevant ligands, receptors and cell types contributing to changes in cell communication when contrasting two biological states: disease vs. homeostasis. A case study on scRNA-seq of human myeloproliferative neoplasms reinforces the strengths of CrossTalkeR for characterisation of changes in cellular crosstalk in disease state.

Install

You can install CrossTalkeR with the simple comands below:

install.packages("devtools")
devtools::install_github("https://github.com/CostaLab/CrossTalkeR")
require(CrossTalkeR)

CrossTalkeR Plots examples and vignette

We provide in our vignette examples on how to analyse cell interactions from a human myelofibrosis single cell RNA-seq.

vignette('CrossTalkeR')

Integration of CellPhoneDB with CrossTalkeR

We provide here a tutorial on how to integrate preditions from CellPhoneDB into Crosstalker.

CellPhoneDB Tutorial.md

Current Features v1.0.0

  • Single and Comparative Reports
    • Cell Cell Interaction visualization
    • Sending and Receiving Cells Ranking
    • Gene Target based Sankey Plots
    • CCI and GCI PCA ranking
      • All measures and PC table
      • PC1 and PC2 based barplot
    • Leimkühler et. al. [2] data were added to the package

References

[1] CrossTalkNet: Analysis and Visualisation of LigandReceptor Networks. (in preparation)

[2]Heterogeneous bone-marrow stromal progenitors drive myelofibrosis via a druggable alarmin axis. link