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Time-lapse image analysis reveals trigger-dependent differences in ASC speck lifetime in the NLRP3 inflammasome
University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment. School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Sweden ; Inflammatory Response and Infection Susceptibility Centre (iRiSC), Örebro University, Sweden. (Infection Biology)ORCID iD: 0000-0003-3124-5062
School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Sweden ; Inflammatory Response and Infection Susceptibility Centre (iRiSC), Örebro University, Sweden.
Department of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden ; Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sweden ; Nanoxis Consulting AB, Gothenburg, Sweden.
School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Sweden.
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2026 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 16, no 1, article id 14173Article in journal (Refereed) Published
Abstract [en]

Formation of the NLRP3 inflammasome occurs in response to a wide range of triggers and leads to pyroptosis and release of IL-1β and IL-18. This has widely been considered an "all or nothing" response leading to similar cellular outcomes each time, once the inflammasome has formed, a view that has been challenged over the years. This assumption has largely been based on endpoint measurements at the population level, producing metrics that fail to adequately capture dynamic responses. Herein, we utilize live-cell imaging combined with an algorithmic approach to track individual ASC-GFP specks over time, formed in response to the triggers ATP, monosodium urate and nigericin. Using this approach, we report trigger-dependent differences in speck lifetime. The use of the proposed algorithm requires a relatively small dataset, while still providing insights into NLRP3 inflammasome dynamics downstream of inflammasome activation at the single-cell level.

Place, publisher, year, edition, pages
Springer Nature, 2026. Vol. 16, no 1, article id 14173
Keywords [en]
Adenosine Triphosphate, Algorithms, Animals, CARD Signaling Adaptor Proteins, Humans, Inflammasomes, Interleukin-18, Interleukin-1beta, Nigericin, NLR Family, Pyrin Domain-Containing 3 Protein, Pyroptosis, Time-Lapse Imaging, Uric Acid, caspase recruitment domain signaling protein, cryopyrin, inflammasome, interleukin 18, interleukin 1beta, NLRP3 protein, human, algorithm, animal, human, metabolism, procedures, time lapse imaging
National Category
Cell and Molecular Biology Immunology in the Medical Area Medical Biotechnology (Focus on Cell Biology, (incl. Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Research subject
Infection Biology
Identifiers
URN: urn:nbn:se:his:diva-26375DOI: 10.1038/s41598-026-50936-xISI: 001756664100008PubMedID: 42082551Scopus ID: 2-s2.0-105038059748OAI: oai:DiVA.org:his-26375DiVA, id: diva2:2061385
Funder
Knowledge Foundation, 2016-0044Knowledge Foundation, 2020-0017Knowledge Foundation, 2024-0183
Note

CC BY 4.0

© 2026. The Author(s)

Correspondence and requests for materials should be addressed to M.H.

Open access funding provided by Örebro University. This work was supported by the Swedish Knowledge Foundation [Grants No. 2016-0044; 2020-0017; 2024-0183].

Available from: 2026-05-21 Created: 2026-05-21 Last updated: 2026-05-22Bibliographically approved

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Herring, MatthewEjdebäck, Mikael

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