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Cell state transition analysis identifies interventions that improve control of Mycobacterium tuberculosis infection by susceptible macrophages
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 the tuberculosis (TB) susceptible and resistant mic...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530096/ https://www.ncbi.nlm.nih.gov/pubmed/37756395 http://dx.doi.org/10.1126/sciadv.adh4119 |
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author | Yabaji, Shivraj M. Rukhlenko, Oleksii S. Chatterjee, Sujoy Bhattacharya, Bidisha Wood, Emily Kasaikina, Marina Kholodenko, Boris N. Gimelbrant, Alexander A. Kramnik, Igor |
author_facet | Yabaji, Shivraj M. Rukhlenko, Oleksii S. Chatterjee, Sujoy Bhattacharya, Bidisha Wood, Emily Kasaikina, Marina Kholodenko, Boris N. Gimelbrant, Alexander A. Kramnik, Igor |
author_sort | Yabaji, Shivraj M. |
collection | PubMed |
description | 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 the tuberculosis (TB) susceptible and 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 tumor necrosis factor (TNF)–activated TB-susceptible macrophages toward that of TB-resistant cells, i.e., prevents their aberrant activation without suppressing beneficial TNF responses. Last, we demonstrate that the compounds identified with this approach enhance the resistance of the TB-susceptible mouse macrophages to virulent Mycobacterium tuberculosis. |
format | Online Article Text |
id | pubmed-10530096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105300962023-09-28 Cell state transition analysis identifies interventions that improve control of Mycobacterium tuberculosis infection by susceptible macrophages Yabaji, Shivraj M. Rukhlenko, Oleksii S. Chatterjee, Sujoy Bhattacharya, Bidisha Wood, Emily Kasaikina, Marina Kholodenko, Boris N. Gimelbrant, Alexander A. Kramnik, Igor Sci Adv Biomedicine and Life Sciences 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 the tuberculosis (TB) susceptible and 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 tumor necrosis factor (TNF)–activated TB-susceptible macrophages toward that of TB-resistant cells, i.e., prevents their aberrant activation without suppressing beneficial TNF responses. Last, we demonstrate that the compounds identified with this approach enhance the resistance of the TB-susceptible mouse macrophages to virulent Mycobacterium tuberculosis. American Association for the Advancement of Science 2023-09-27 /pmc/articles/PMC10530096/ /pubmed/37756395 http://dx.doi.org/10.1126/sciadv.adh4119 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Yabaji, Shivraj M. Rukhlenko, Oleksii S. Chatterjee, Sujoy Bhattacharya, Bidisha Wood, Emily Kasaikina, Marina Kholodenko, Boris N. Gimelbrant, Alexander A. Kramnik, Igor Cell state transition analysis identifies interventions that improve control of Mycobacterium tuberculosis infection by susceptible macrophages |
title | Cell state transition analysis identifies interventions that improve control of Mycobacterium tuberculosis infection by susceptible macrophages |
title_full | Cell state transition analysis identifies interventions that improve control of Mycobacterium tuberculosis infection by susceptible macrophages |
title_fullStr | Cell state transition analysis identifies interventions that improve control of Mycobacterium tuberculosis infection by susceptible macrophages |
title_full_unstemmed | Cell state transition analysis identifies interventions that improve control of Mycobacterium tuberculosis infection by susceptible macrophages |
title_short | Cell state transition analysis identifies interventions that improve control of Mycobacterium tuberculosis infection by susceptible macrophages |
title_sort | cell state transition analysis identifies interventions that improve control of mycobacterium tuberculosis infection by susceptible macrophages |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530096/ https://www.ncbi.nlm.nih.gov/pubmed/37756395 http://dx.doi.org/10.1126/sciadv.adh4119 |
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