M/Z: 697.4241

Hit 2 annotations: Glucosyl passiflorate_[M+H]+; PA(18:4(6Z,9Z,12Z,15Z)/20:5(5Z,8Z,11Z,14Z,17Z))_[M+H-H2O]+

在BioDeep NovoCell知识数据库中，参考离子总共被划分为4个级别。

Confirmed: 这个参考离子已经通过手动审计得到确认和验证。
Reliable: 这个参考离子可能在特定的解剖组织环境中高度保守。
Unreliable: 这个参考离子具有较高的排名价值，但缺乏可重复性。
Unavailable: 由于排名价值低且缺乏可重复性，这个参考离子不应用于注释。

Found 1 Reference Ions Near m/z 697.4241

NovoCell ID	m/z	Mass Window	Metabolite	Ranking	Anatomy Context
MSI_000043557 Unreliable	697.4291	697.4291 ~ 697.4291 MzDiff: `none`	Glucosyl passiflorate (BioDeep_00000022516) Formula: C37H60O12 (696.4085)	1.46 (100%)	Homo sapiens [UBERON:0001043] esophagus

Found 3 Sample Hits

Metabolite	Species	Sample
Glucosyl passiflorate Formula: C37H60O12 (696.4085) Adducts: [M+H]+ (Ppm: 10.9)	Mus musculus (Lung)	image5 Resolution: 40μm, 163x183 Description Supplementary Figure S8. MALDI-MSI data of mouse lung tissue administered with D9-choline and U 13C-DPPC–containing Poractant alfa surfactant (labels administered 18 h prior to sacrifice). Ion images of (a) m/z 796.6856 ([U13C-DPPC+Na]+), (b) m/z 756.5154 [PC32:0+Na]+ and (c) m/z 765.6079 ([D9-PC32:0+Na]+). (d) Overlay image of [U13C-DPPC+Na]+ (red) and [D9-PC32:0+Na]+ (green). Parts per million (ppm) mass errors are indicated in parentheses. All images were visualised using totalion-current normalisation and using hotspot removal (high quantile = 99%). DPPC = PC16:0/16:0.
Glucosyl passiflorate Formula: C37H60O12 (696.4085) Adducts: [M+H]+ (Ppm: 19.2)	Homo sapiens (esophagus)	LNTO22_1_3 Resolution: 75μm, 121x68 Description
PA(18:4(6Z,9Z,12Z,15Z)/20:5(5Z,8Z,11Z,14Z,17Z)) Formula: C41H63O8P (714.426) Adducts: [M+H-H2O]+ (Ppm: 1.9)	Mus musculus (Liver)	Salmonella_final_pos_recal Resolution: 17μm, 691x430 Description 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.

Metabolite

Species

Sample

Glucosyl passiflorate

Formula: C37H60O12 (696.4085)
Adducts: [M+H]+ (Ppm: 10.9)

Mus musculus (Lung)

image5

Resolution: 40μm, 163x183

Description

Supplementary Figure S8. MALDI-MSI data of mouse lung tissue administered with D9-choline and U 13C-DPPC–containing Poractant alfa surfactant (labels administered 18 h prior to sacrifice). Ion images of (a) m/z 796.6856 ([U13C-DPPC+Na]+), (b) m/z 756.5154 [PC32:0+Na]+ and (c) m/z 765.6079 ([D9-PC32:0+Na]+). (d) Overlay image of [U13C-DPPC+Na]+ (red) and [D9-PC32:0+Na]+ (green). Parts per million (ppm) mass errors are indicated in parentheses. All images were visualised using totalion-current normalisation and using hotspot removal (high quantile = 99%). DPPC = PC16:0/16:0.

Glucosyl passiflorate

Formula: C37H60O12 (696.4085)
Adducts: [M+H]+ (Ppm: 19.2)

Homo sapiens (esophagus)

LNTO22_1_3

Resolution: 75μm, 121x68

Description

PA(18:4(6Z,9Z,12Z,15Z)/20:5(5Z,8Z,11Z,14Z,17Z))

Formula: C41H63O8P (714.426)
Adducts: [M+H-H2O]+ (Ppm: 1.9)

Mus musculus (Liver)

Salmonella_final_pos_recal

Resolution: 17μm, 691x430

Description

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.