Impact of Skin Tissue Collection Method on Downstream MALDI-Imaging
Overview
Affiliations
MALDI imaging is a novel technique with which to study the pathophysiologies of diseases. Advancements in the field of metabolomics and lipidomics have been instrumental in mapping the signaling pathways involved in various diseases, such as cancer and neurodegenerative diseases (Parkinson's). MALDI imaging is flexible and can handle many sample types. Researchers primarily use either formalin-fixed paraffin-embedded (FFPE) or fresh frozen tissue samples to answer their scientific questions. FFPE samples allow for easy long-term storage, but the requirement for extensive sample processing may limit the ability to provide a clear picture of metabolite distribution in biological tissue. Frozen samples require less handling, but present logistical challenges for collection and storage. A few studies, mostly focused on cancer cell lines, have directly compared the results of MALDI imaging using these two tissue fixation approaches. Herein, we directly compared FFPE and fresh frozen sample preparation for murine skin samples, and performed detailed pathway analysis to understand how differences in processing impact MALDI results from otherwise identical tissues. Our results indicate that FFPE and fresh frozen methods differ significantly in the putative identified metabolite content and distribution. The fixation methods shared only 2037 metabolites in positive mode and only 4079 metabolites in negative ion mode. However, both fixation approaches allowed for downstream fluorescent staining, which may save time and resources for samples that are clinically precious. This work represents a direct comparison of the impacts of the two main tissue processing methods on subsequent MALDI-MSI. While our results are similar to previous work in cancer tissue, they provide novel insights for those using MALDI-MSI in skin.
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Yadav M, Chaudhary P, Ratley G, DSouza B, Kaur M, Ganesan S Int J Mol Sci. 2024; 25(18).
PMID: 39337422 PMC: 11432213. DOI: 10.3390/ijms25189933.
DSouza B, Yadav M, Chaudhary P, Ratley G, Lu M, Alves D Heliyon. 2024; 10(13):e33502.
PMID: 39035522 PMC: 11259870. DOI: 10.1016/j.heliyon.2024.e33502.
Chewing the fat: How lipidomics is changing our understanding of human health and disease in 2022.
Gehin C, Fowler S, Trivedi D Anal Sci Adv. 2024; 4(3-4):104-131.
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Human Dermal Decellularized ECM Hydrogels as Scaffolds for 3D In Vitro Skin Aging Models.
Fernandez-Carro E, Remacha A, Orera I, Lattanzio G, Garcia-Barrios A, Barrio J Int J Mol Sci. 2024; 25(7).
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The circadian metabolome of atopic dermatitis.
Ratley G, Zeldin J, Chaudhary P, Yadav M, Paller A, Zee P J Allergy Clin Immunol. 2024; 153(4):1148-1154.
PMID: 38262502 PMC: 10999347. DOI: 10.1016/j.jaci.2023.11.926.