PGP(a-13:0/i-13:0)

[(2S)-2-hydroxy-3-({hydroxy[(2R)-3-[(10-methyldodecanoyl)oxy]-2-[(11-methyldodecanoyl)oxy]propoxy]phosphoryl}oxy)propoxy]phosphonic acid

Formula: C32H64O13P2 (718.3822)
Chinese Name:
BioDeep ID: BioDeep_00000108874 ( View LC/MS Profile)
SMILES: [H][C@](O)(COP(O)(O)=O)COP(O)(=O)OC[C@@]([H])(COC(=O)CCCCCCCCC(C)CC)OC(=O)CCCCCCCCCC(C)C

Found 2 Sample Hits

m/z Adducts Species Organ Scanning Sample

m/z	Adducts	Species	Organ	Scanning	Sample
718.4088	[M-H2O+NH4]+ `PPM:4.7`	Mus musculus	Lung	MALDI (DHB)	image5 - MTBLS2075 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.
718.4033	[M-H2O+NH4]+ `PPM:3`	Mus musculus	Liver	MALDI (CHCA)	Salmonella_final_pos_recal - MTBLS2671 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.

718.4088

[M-H2O+NH4]+
PPM:4.7

Mus musculus

Lung

MALDI (DHB)

image5 - MTBLS2075

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.

718.4033

[M-H2O+NH4]+
PPM:3

Mus musculus

Liver

MALDI (CHCA)

Salmonella_final_pos_recal - MTBLS2671

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.

PGP(a-13:0/i-13:0) is a phosphatidylglycerophosphate (PGP). It is a glycerophospholipid in which a phosphoglycerol moiety occupies a glycerol substitution site followed by another phosphate moiety. Phosphatidylglycerolphosphate is present at a level of 1-2\\% in most animal tissues, but it can be the second most abundant phospholipid in lung surfactant (up to 11\\% of the total). It is well established that the concentration of phosphatidylglycerolphosphate increases during fetal development. Phosphatidylglycerolphosphate may be present in animal tissues merely as a precursor for cardiolipin synthesis. As is the case with diacylglycerols, phosphatidylglycerophosphates can have many different combinations of fatty acids of varying lengths and saturation attached to the C-1 and C-2 positions. Fatty acids containing 16, 18 and 20 carbons are the most common. PGP(a-13:0/i-13:0), in particular, consists of one chain of anteisotridecanoic acid at the C-1 position and one chain of isotridecanoic acid at the C-2 position. They are synthesized by the addition of glycerol 3-phosphate to a CDP-diacylglycerol. In turn, PGPs are dephosphorylated to phosphatidylglycerols (PGs). While most phospholipids have a saturated fatty acid on C-1 and an unsaturated fatty acid on C-2 of the glycerol backbone, the fatty acid distribution at the C-1 and C-2 positions of glycerol within phospholipids is continually in flux, owing to phospholipid degradation and the continuous phospholipid remodeling that occurs while these molecules are in membranes.