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Identification of ligand and receptor interactions in CKD and MASH through the integration of single cell and spatial transcriptomics.

Jaime MorenoLise Lotte GluudElisabeth D GalsgaardHenning HvidGianluca MazzoniVivek Das
Published in: PloS one (2024)
Our study highlights the importance of integrating different modalities of transcriptomic data for a better understanding of the molecular mechanisms. The combination of single-cell resolution from scRNAseq data, combined with tissue slide investigations and visualization of cell-cell interactions obtained through ST, paves the way for the identification of future potential therapeutic targets and developing effective therapies.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • electronic health record
  • big data
  • chronic kidney disease
  • cell therapy
  • machine learning
  • risk assessment
  • stem cells
  • mesenchymal stem cells
  • current status
  • data analysis