Exploring NLRP3-related phenotypic fingerprints in human macrophages using Cell Painting assayShow others and affiliations
2025 (English)In: iScience, E-ISSN 2589-0042, Vol. 28, no 3, article id 111961Article in journal (Refereed) Published
Abstract [en]
Existing research has proven difficult to understand the interplay between upstream signaling events during NLRP3 inflammasome activation. Additionally, events downstream of inflammasome complex formation such as cytokine release and pyroptosis can exhibit variation, further complicating matters. Cell Painting has emerged as a prominent tool for unbiased evaluation of the effect of perturbations on cell morphological phenotypes. Using this technique, phenotypic fingerprints can be generated that reveal connections between phenotypes and possible modes of action. To the best of our knowledge, this was the first study that utilized Cell Painting on human THP-1 macrophages to generate phenotypic fingerprints in response to different endogenous and exogenous NLRP3 inflammasome triggers and to identify phenotypic features specific to NLRP3 inflammasome complex formation. Our results demonstrated that not only can Cell Painting generate morphological fingerprints that are NLRP3 trigger-specific but it can also identify cellular fingerprints associated with NLRP3 inflammasome activation.
Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 28, no 3, article id 111961
National Category
Immunology
Research subject
Infection Biology
Identifiers
URN: urn:nbn:se:his:diva-24925DOI: 10.1016/j.isci.2025.111961ISI: 001429262600001PubMedID: 40040812Scopus ID: 2-s2.0-85217926523OAI: oai:DiVA.org:his-24925DiVA, id: diva2:1940564
Funder
Swedish Research Council, 2022-06725Swedish Research Council, 2018-05973Knowledge Foundation, 2016-0044Knowledge Foundation, 2022-0122Knowledge Foundation, 2023-0020Knowledge Foundation, 2020-0017
Note
CC BY 4.0
Correspondence: matthew.herring@oru.se (M.H.), andi.alijagic@oru.se (A.A.)
This work was supported by the Swedish Knowledge Foundation (Grants No. 2016-0044; 2022-0122; 2023-0020). We acknowledge scientific support from the Exploring Inflammation in Health and Disease (X-HiDE) Consortium, whichis a strategic research profile at Örebro University funded by the Knowledge Foundation (Grant No. 2020-0017). The computations/data handling were partially enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) partially funded by the Swedish Research Council (Grant No. 2022-06725 and 2018-05973), projects SNIC 2022/5-535, SNIC 2022/6-306, NAISS 2023/5-511, and NAISS 2023/6-342.
2025-02-262025-02-262025-04-15Bibliographically approved