M/Z: 660.4346

Hit 2 annotations: PS(14:0/14:1(9Z))_[M+H-H2O]+; PE-NMe(18:4(6Z,9Z,12Z,15Z)/14:1(9Z))_[M+H-2H2O]+

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 7 Reference Ions Near m/z 660.4346

NovoCell ID	m/z	Mass Window	Metabolite	Ranking	Anatomy Context
MSI_000058124 Reliable	660.4257	660.4255 ~ 660.426 MzDiff: `2.0 ppm`	PE-NMe(18:4(6Z,9Z,12Z,15Z)/14:1(9Z)) (BioDeep_00000105607) Formula: C38H66NO8P (695.4526)	4.37 (82%)	Homo sapiens [UBERON:0001043] esophagus
MSI_000046612 Reliable	660.4256	660.4256 ~ 660.4256 MzDiff: `none`	PE-NMe(18:4(6Z,9Z,12Z,15Z)/14:1(9Z)) (BioDeep_00000105607) Formula: C38H66NO8P (695.4526)	3.94 (100%)	Mus musculus [UBERON:0002107] liver
MSI_000022205 Unreliable	660.4404	660.4404 ~ 660.4404 MzDiff: `none`	Lansioside A (BioDeep_00000023696) Formula: C38H61NO8 (659.4397)	0.36 (100%)	Mus musculus [UBERON:0001499] muscle of arm
MSI_000065797 Unreliable	660.425	660.425 ~ 660.425 MzDiff: `none`	PS(14:0/14:1(9Z)) (BioDeep_00000032558) Formula: C34H64NO10P (677.4268)	1.15 (100%)	Homo sapiens [UBERON:0001155] colon
MSI_000056338 Unavailable	660.4265	660.4265 ~ 660.4265 MzDiff: `none`	PE-NMe(18:4(6Z,9Z,12Z,15Z)/14:1(9Z)) (BioDeep_00000105607) Formula: C38H66NO8P (695.4526)	-0.67 (100%)	Homo sapiens [UBERON:0007779] transudate
MSI_000024411 Unreliable	660.4346	660.4346 ~ 660.4346 MzDiff: `none`	PS(14:0/14:1(9Z)) (BioDeep_00000032558) Formula: C34H64NO10P (677.4268)	1.78 (100%)	Mus musculus [UBERON:0004269] upper arm connective tissue
MSI_000023914 Unreliable	660.4404	660.4404 ~ 660.4404 MzDiff: `none`	Lansioside A (BioDeep_00000023696) Formula: C38H61NO8 (659.4397)	0.97 (100%)	Mus musculus [UBERON:0004263] upper arm skin

Found 2 Sample Hits

Metabolite	Species	Sample
PS(14:0/14:1(9Z)) Formula: C34H64NO10P (677.4268) Adducts: [M+H-H2O]+ (Ppm: 16.8)	Mus musculus (Left upper arm)	357_l_total ion count Resolution: 50μm, 97x131 Description Diseased
PE-NMe(18:4(6Z,9Z,12Z,15Z)/14:1(9Z)) Formula: C38H66NO8P (695.4526) Adducts: [M+H-2H2O]+ (Ppm: 19.9)	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

PS(14:0/14:1(9Z))

Formula: C34H64NO10P (677.4268)
Adducts: [M+H-H2O]+ (Ppm: 16.8)

Mus musculus (Left upper arm)

357_l_total ion count

Resolution: 50μm, 97x131

Description

Diseased

PE-NMe(18:4(6Z,9Z,12Z,15Z)/14:1(9Z))

Formula: C38H66NO8P (695.4526)
Adducts: [M+H-2H2O]+ (Ppm: 19.9)

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.