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Multi-modal quantification of pathway activity with MAYA.

Yuna Landais1, Céline Vallot2,3,4

  • 1One Biosciences, Paris, France.

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|March 25, 2023
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Summary
This summary is machine-generated.

MAYA is a new computational method for analyzing biological pathways. It detects diverse activation modes across cell populations, offering deeper insights into cell identity and disease contexts.

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Area of Science:

  • Computational biology
  • Genomics
  • Systems biology

Background:

  • Cellular signaling pathways are crucial for biological processes and disease.
  • Single-cell atlases offer unprecedented resolution for studying pathway complexity.
  • Current pathway analysis tools lack granularity, averaging pathway activity across diverse cell types.

Purpose of the Study:

  • To introduce MAYA, a novel computational method for detecting and scoring diverse modes of biological pathway activation.
  • To enhance the granularity of pathway analysis in single-cell data.
  • To enable the identification of cell-type-specific pathway activation patterns.

Main Methods:

  • Development of MAYA, a computational tool for pathway analysis.
  • Detection and scoring of gene subgroups within pathways characteristic of specific cell populations.
  • Application to multiple single-cell datasets to assess biological relevance and robustness.
  • Evaluation of MAYA's ability to predict cell types and identify common pathway activation modes.

Main Results:

  • MAYA successfully detects and scores diverse modes of pathway activation across cell populations.
  • Identified modes of activation demonstrate biological relevance and robustness against noisy pathway lists and batch effects.
  • MAYA can predict cell types in a cluster-free manner.
  • The method reveals common pathway activation modes in tumor cells across patients.

Conclusions:

  • MAYA provides a more granular approach to pathway analysis using single-cell data.
  • The method enhances understanding of cell identity, biological context, and disease mechanisms.
  • MAYA's ability to identify shared pathway activation modes in tumors opens avenues for discovering therapeutic vulnerabilities.