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Lookup NU author(s): Jack Gudgeon, Dr Abeer Dannoura, Dr Ritika Chatterjee, Frances Sidgwick, Dr Ben RaymondORCiD, Dr Andrew FreyORCiD, Dr Jose Luis Marin-RubioORCiD, Professor Matthias TrostORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 Gudgeon et al. Immortalised cell lines that mimic their primary cell counterparts are fundamental to research, particularly when large cell numbers are required. Here, we report that immortalisation of bone marrow-derived macrophages (iBMDMs) using the J2 virus resulted in the loss of a protein of interest, MSR1, in WT cells by an unknown mechanism. This led us to perform an in-depth mass spectrometry-based proteomic characterisation of common murine macrophage cell lines (J774A.1, RAW264.7, and BMA3.1A7), in comparison with the iBMDMs, as well as primary BMDMs from both C57BL/6 and BALB/c mice. This analysis revealed striking differences in protein profiles associated with macrophage polarisation, phagocytosis, pathogen recognition, and interferon signalling. Among the cell lines, J774A.1 cells were the most similar to the gold standard primary BMDM model, whereas BMA3.1A7 cells were the least similar because of the reduction in abundance of several key proteins related closely to macrophage function. This comprehensive proteomic dataset offers valuable insights into the use and suitability of macrophage cell lines for cell signalling and inflammation research.
Author(s): Gudgeon J, Dannoura A, Chatterjee R, Sidgwick F, Raymond BB, Frey AM, Marin-Rubio JL, Trost M
Publication type: Article
Publication status: Published
Journal: Life Science Alliance
Year: 2025
Volume: 8
Issue: 1
Print publication date: 01/01/2025
Online publication date: 07/11/2024
Acceptance date: 18/10/2024
Date deposited: 25/11/2024
ISSN (electronic): 2575-1077
Publisher: Life Science Alliance LLC
URL: https://doi.org/10.26508/lsa.202402760
DOI: 10.26508/lsa.202402760
Data Access Statement: The mass spectrometry proteomic data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier: PXD051067.
PubMed id: 39510801
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