Holistic Characterization of a Salmonella Typhimurium Infection Model Using Integrated Molecular Imaging (MTBLS2671)
DOI: 10.1021/jasms.1c00240
创建时间: 2025-01-08 13:22:11
A more complete and holistic view on host-microbe interactions is needed to understand the physiological and cellular barriers that affect the efficacy of drug treatments and allow the discovery and development of new therapeutics. Here, we developed a multimodal imaging approach combining histopathology with mass spectrometry imaging (MSI) and same section imaging mass cytometry (IMC) to study the effects of Salmonella Typhimurium infection in the liver of a mouse model using the S. Typhimurium strains SL3261 and SL1344. This approach enables correlation of tissue morphology and specific cell phenotypes with molecular images of tissue metabolism. IMC revealed a marked increase in immune cell markers and localization in immune aggregates in infected tissues. A correlative computational method (network analysis) was deployed to find metabolic features associated with infection and revealed metabolic clusters of acetyl carnitines, as well as phosphatidylcholine and phosphatidylethanolamine plasmalogen species, which could be associated with pro-inflammatory immune cell types. By developing an IMC marker for the detection of Salmonella LPS, we were further able to identify and characterize those cell types which contained S. Typhimurium.
人工注释组织解剖术语列表
liverCite as:
Strittmatter N, Kanvatirth P, Inglese P, Race AM, Nilsson A, Dannhorn A, Kudo H, Goldin RD, Ling S, Wong E, Seeliger F, Serra MP, Hoffmann S, Maglennon G, Hamm G, Atkinson J, Jones S, Bunch J, Andrén PE, Takats Z, Goodwin RJA, Mastroeni P. Holistic Characterization of a Salmonella Typhimurium Infection Model Using Integrated Molecular Imaging. J Am Soc Mass Spectrom. 2021 Dec 1;32(12):2791-2802. doi: 10.1021/jasms.1c00240. Epub 2021 Nov 12. PMID: 34767352.
当前项目中的样本列表
Salmonella_final_pos_recal
创建时间: 2025-01-08 13:22:11
空间分辨率: 17μm,
691x430
扫描: MALDI (CHCA)
物种: Mus musculus (Liver) - normal
Note
A more complete and holistic view on host–microbe interactions is needed to understand the physiological and cellular barriers that affect the efficacy of drug treatments and allow the discovery and development of new therapeutics. Here, we developed a multimodal imaging approach combining histopathology with mass spectrometry imaging (MSI) and same section imaging mass cytometry (IMC) to study the effects of Salmonella Typhimurium infection in the liver of a mouse model using the S. Typhimurium strains SL3261 and SL1344. This approach enables correlation of tissue morphology and specific cell phenotypes with molecular images of tissue metabolism. IMC revealed a marked increase in immune cell markers and localization in immune aggregates in infected tissues. A correlative computational method (network analysis) was deployed to find metabolic features associated with infection and revealed metabolic clusters of acetyl carnitines, as well as phosphatidylcholine and phosphatidylethanolamine plasmalogen species, which could be associated with pro-inflammatory immune cell types. By developing an IMC marker for the detection of Salmonella LPS, we were further able to identify and characterize those cell types which contained S. Typhimurium.
[dataset] Nicole Strittmatter. Holistic Characterization of a Salmonella Typhimurium Infection Model Using Integrated Molecular Imaging, metabolights_dataset, V1; 2022. https://www.ebi.ac.uk/metabolights/MTBLS2671.
