Fluocinonide

Fig 6c Fig. 6 MALDI-MSI of U13C-PC16:0/16:0 acyl chain remodeling. A: Averaged MALDI mass spectrum from lung tissue collected from mice euthanized 12 h after administration of D9-choline and U13C-DPPC–containing Poractant alfa surfactant. The ion at m/z 828.6321 is assigned as the [M+Na]+ ion of 13C24-PC16:0_20:4 formed by acyl remodeling of U13C-PC16:0/16:0. The “NL” value refers to the intensity of the base peak in the full range MS1 spectrum. B: MS/MS spectrum of precursor ions at m/z 828.5 ± 0.5 with fragment ions originating from [13C24-PC16:0_20:4+Na]+ annotated. Part-per-million (ppm) mass errors are provided in parentheses. C, D: MALDI-MSI data of [U13C-DPPC+Na]+ (blue), [PC36:4+Na]+ (green) and [13C24-PC16:0_20:4+Na]+ (red) in lung tissue collected from mice (C) 12 h and (D) 18 h after label administration. All images were visualized using total-ion-current normalization and hotspot removal (high quantile = 99%). MS/MS, tandem mass spectrometry; MSI, mass spectrometry imaging; PC, phosphatidylcholine; U13C-DPPC, universally 13C-labeled dipalmitoyl PC.

Sample information Organism: Macropus giganteus (kangaroo) Organism part: Brain Condition: Wildtype Sample growth conditions: Wild

Sample information Organism: Macropus giganteus (kangaroo) Organism part: Brain Condition: Wildtype Sample growth conditions: Wild

Sample information Organism: Macropus giganteus (kangaroo) Organism part: Brain Condition: Wildtype Sample growth conditions: Wild

Sample information Organism: Macropus giganteus (kangaroo) Organism part: Brain Condition: Wildtype Sample growth conditions: Wild

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.

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.

single cell layer class_4 is the gill structure cells, metabolite ion 534.2956 is the top representive ion of this type of cell

Sample information Organism: Drosophila melanogaster Organism part: Brain Condition: Healthy Sample preparation Sample stabilisation: Frozen Tissue modification: Frozen MALDI matrix: 2,5-dihydroxybenzoic acid (DHB) MALDI matrix application: TM sprayer Solvent: Aceton/water MS analysis Polarity: Positive Ionisation source: Prototype Analyzer: Orbitrap Pixel size: 5μm × 5μm Annotation settings m/z tolerance (ppm): 3 Analysis version: Original MSM Pixel count: 469910 Imzml file size: 696.23 MB Ibd file size: 814.11 MB

Sample information Organism: Drosophila melanogaster Organism part: Brain Condition: Healthy Sample preparation Sample stabilisation: Frozen Tissue modification: Frozen MALDI matrix: 2,5-dihydroxybenzoic acid (DHB) MALDI matrix application: TM sprayer Solvent: Aceton/water MS analysis Polarity: Positive Ionisation source: Prototype Analyzer: Orbitrap Pixel size: 5μm × 5μm Annotation settings m/z tolerance (ppm): 3 Analysis version: Original MSM Pixel count: 469910 Imzml file size: 696.23 MB Ibd file size: 814.11 MB