The murine Microenvironment Cell Population counter method to estimate abundance of tissue-infiltrating immune and

Florent Petitprez1,2,3, Sacha Levy4, Cheng-Ming Sun4

  • 1Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université de Paris, Team Inflammation, Complement and Cancer, F-75006, Paris, France. florent.petitprez@ligue-cancer.net.

Genome Medicine
|October 7, 2020
PubMed

Insights

Researchers developed a new method, murine Microenvironment Cell Population counter (mMCP-counter), to precisely quantify 16 cell types in mouse tissues using transcriptomic data. This tool aids disease research and predicts treatment responses.

Area of Science:

  • Immunology
  • Computational Biology
  • Translational Medicine

Background:

  • Quantifying immune and stromal cells in tissues is crucial for understanding disease mechanisms and treatment efficacy.
  • Existing transcriptomic methods for cell quantification are limited, especially for mouse models.

Purpose of the Study:

  • To develop and validate a novel computational method for accurate quantification of murine immune and stromal cell populations from transcriptomic data.
  • To assess the utility of the new method in predicting treatment response and identifying disease-specific immune changes.

Main Methods:

  • Development of the murine Microenvironment Cell Population counter (mMCP-counter) using highly specific transcriptomic markers.
  • Validation of mMCP-counter against flow cytometry data.
  • Application of mMCP-counter to analyze transcriptomic data from cancer and Alzheimer's disease mouse models.

Main Results:

  • mMCP-counter accurately quantifies 16 distinct immune and stromal cell populations in mouse tissues.
  • The method demonstrates superior performance compared to existing approaches.
  • mMCP-counter scores predict response to immune checkpoint blockade in cancer models.
  • mMCP-counter identifies early immune alterations associated with Alzheimer's disease.

Conclusions:

  • mMCP-counter is a validated and accurate tool for quantifying cellular composition in mouse tissues using transcriptomics.
  • This method has significant potential for advancing research in immunology, cancer, and neurodegenerative diseases.
  • mMCP-counter provides valuable insights into disease pathogenesis and therapeutic responses in preclinical models.

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