Pedro Escoll
@pescoll.bsky.social
How the metabolic crosstalk between pathogenic bacteria and host cells impacts infection? @pasteur.fr
Great work! HCS❤️AI
October 16, 2025 at 2:17 PM
Great work! HCS❤️AI
Thus, single-cell metabolic dynamics can forecast infection outcomes. In the spirit of @stephenwolfram.bsky.social's ideas, bacterial infection exhibits pockets of computational reducibility at the single-cell scale. Might this point to new ways to predict infection progression?
October 16, 2025 at 12:55 PM
Thus, single-cell metabolic dynamics can forecast infection outcomes. In the spirit of @stephenwolfram.bsky.social's ideas, bacterial infection exhibits pockets of computational reducibility at the single-cell scale. Might this point to new ways to predict infection progression?
So we trained an explainable Machine Learning model using Δψm + mROS dynamics, and the AI model predicted which infected cell will support replication with 83% accuracy before bacterial replication begins
October 16, 2025 at 12:55 PM
So we trained an explainable Machine Learning model using Δψm + mROS dynamics, and the AI model predicted which infected cell will support replication with 83% accuracy before bacterial replication begins
What make these permissive macrophages different? Before bacteria replicate, macrophages that will permit bacterial growth already show sustained mitochondrial membrane potential (Δψm) and higher mitochondrial ROS (mROS). These are early mitochondrial signals of permissive cells!
October 16, 2025 at 12:55 PM
What make these permissive macrophages different? Before bacteria replicate, macrophages that will permit bacterial growth already show sustained mitochondrial membrane potential (Δψm) and higher mitochondrial ROS (mROS). These are early mitochondrial signals of permissive cells!
We tracked thousands of living primary human macrophages during infection with Legionella pneumophila, using high-throughput live imaging + our BATLI backtracking software. Legionella only replicates in ~20% infected primary macrophages!
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Backtracking metabolic dynamics in single cells predicts bacterial replication in human macrophages - Nature Communications
Computational models can help to explain the dynamics of cellular infection with pathogens. Here the authors use computational models to assess the single cell infection parameters of human macrophage...
www.nature.com
October 16, 2025 at 12:55 PM
We tracked thousands of living primary human macrophages during infection with Legionella pneumophila, using high-throughput live imaging + our BATLI backtracking software. Legionella only replicates in ~20% infected primary macrophages!
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Congrats Lea Jost and team!! Really beautiful paper!!
May 17, 2025 at 5:45 AM
Congrats Lea Jost and team!! Really beautiful paper!!