Back

Cell state transition analysis identifies interventions that improve control of M. tuberculosis infection by susceptible macrophages

Yabaji, S. M.; Rukhlenko, O. S.; Chatterjee, S.; Bhattacharya, B.; Wood, E.; Kasaikina, M.; Kholodenko, B.; Gimelbrant, A. A.; Kramnik, I.

2023-02-10 immunology
10.1101/2023.02.09.527908 bioRxiv
Show abstract

Understanding cell state transitions and purposefully controlling them to improve therapies is a longstanding challenge in biological research and medicine. Here, we identify a transcriptional signature that distinguishes activated macrophages from TB-susceptible and TB-resistant mice. We then apply the cSTAR (cell State Transition Assessment and Regulation) approach to data from screening-by-RNA sequencing to identify chemical perturbations that shift the. transcriptional state of the TB-susceptible macrophages towards that of TB-resistant cells. Finally, we demonstrate that the compounds identified with this approach enhance resistance of the TB-susceptible mouse macrophages to virulent M. tuberculosis.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.