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Cells respond to many types of information, often through receptor proteins positioned on the membrane. They respond to chemical signals, such as hormones, neurotransmitters, and other signaling molecules, initiating a series of molecular reactions to produce an appropriate response. This is called signal transduction. Cells also coordinate different responses elicited by the same signaling molecule via mediators, allowing molecular cross-talk.
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Updated: Sep 25, 2025

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Dysregulated ligand-receptor interactions from single-cell transcriptomics.

Qi Liu1,1, Chih-Yuan Hsu1,2, Jia Li1,3

  • 1Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37232, USA.

Bioinformatics (Oxford, England)
|April 28, 2022
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Summary
This summary is machine-generated.

We developed scLR, a new method to identify altered cell-cell communication by analyzing ligand-receptor interactions in single-cell data. This approach enhances understanding of biological processes and disease pathogenesis.

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Area of Science:

  • Cellular biology
  • Genomics
  • Computational biology

Background:

  • Intracellular communication is vital for biological processes.
  • Single-cell transcriptomics enables studying cell-cell communication via ligand-receptor interactions.
  • Existing methods lack simultaneous consideration of ligands and receptors across multiple conditions.

Purpose of the Study:

  • To develop a statistical method, scLR, for identifying dysregulated ligand-receptor interactions between two conditions using single-cell transcriptomics data.
  • To address limitations in current approaches by simultaneously considering ligand and receptor expression.

Main Methods:

  • Developed scLR, a statistical method for analyzing dysregulated ligand-receptor interactions.
  • Modeled the distribution of ligand-receptor expression products.
  • Accounted for inter-sample variances and small sample sizes.

Main Results:

  • scLR demonstrated high sensitivity and specificity in simulation studies.
  • Identified key cytokine signaling between macrophages and T cells in severe acute COVID-19.
  • Revealed activated TGF-β signaling in pulmonary fibrosis pathogenesis.

Conclusions:

  • scLR is an effective method for detecting dysregulated ligand-receptor interactions.
  • The method provides insights into cellular communication in disease contexts.
  • scLR facilitates a deeper understanding of biological mechanisms underlying diseases like COVID-19 and pulmonary fibrosis.