Phosphoserine
                        Formula: C3H8NO6P (185.0089)
                        
                        Chinese Name:  磷酸丝氨酸, O-磷酸-L-丝氨酸
                        BioDeep ID: BioDeep_00000003158 
                        ( View LC/MS Profile)
                        SMILES:  N[C@@H](COP(O)(O)=O)C(O)=O
                    
Found 27 Sample Hits
| m/z | Adducts | Species | Organ | Scanning | Sample | |
|---|---|---|---|---|---|---|
| 224.1043 | [M+K]+PPM:10.6 | 
                                    Posidonia oceanica | root | MALDI (CHCA) | 
                                        20190614_MS1_A19r-20 - MTBLS1746Resolution: 17μm, 262x276
                                             Seagrasses are one of the most efficient natural sinks of carbon dioxide (CO2) on Earth. Despite covering less than 0.1% of coastal regions, they have the capacity to bury up to 10% of marine organic matter and can bury the same amount of carbon 35 times faster than tropical rainforests. On land, the soil’s ability to sequestrate carbon is intimately linked to microbial metabolism. Despite the growing attention to the link between plant production, microbial communities, and the carbon cycle in terrestrial ecosystems, these processes remain enigmatic in the sea. Here, we show that seagrasses excrete organic sugars, namely in the form of sucrose, into their rhizospheres. Surprisingly, the microbial communities living underneath meadows do not fully use this sugar stock in their metabolism. Instead, sucrose piles up in the sediments to mM concentrations underneath multiple types of seagrass meadows. Sediment incubation experiments show that microbial communities living underneath a meadow use sucrose at low metabolic rates. Our metagenomic analyses revealed that the distinct community of microorganisms occurring underneath meadows is limited in their ability to degrade simple sugars, which allows these compounds to persist in the environment over relatively long periods of time. Our findings reveal how seagrasses form blue carbon stocks despite the relatively small area they occupy. Unfortunately, anthropogenic disturbances are threatening the long-term persistence of seagrass meadows. Given that these sediments contain a large stock of sugars that heterotopic bacteria can degrade, it is even more important to protect these ecosystems from degradation.  | 
                                    
                                        
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| 207.9975 | [M+Na]+PPM:3.1 | 
                                    Posidonia oceanica | root | MALDI (CHCA) | 
                                        20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
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| 224.1048 | [M+K]+PPM:8.4 | 
                                    Posidonia oceanica | root | MALDI (CHCA) | 
                                        20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
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| 207.9957 | [M+Na]+PPM:11.8 | 
                                    Posidonia oceanica | root | MALDI (CHCA) | 
                                        MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
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| 224.1045 | [M+K]+PPM:9.7 | 
                                    Posidonia oceanica | root | MALDI (CHCA) | 
                                        MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
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| 168.0063 | [M+H-H2O]+PPM:4 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO22_1_3 - MTBLS385Resolution: 75μm, 121x68
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| 186.014 | [M+H]+PPM:11.8 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO29_16_2 - MTBLS385Resolution: 17μm, 95x101
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| 185.031 | [M-H2O+NH4]+PPM:6.4 | 
                                    Mus musculus | Liver | MALDI (CHCA) | 
                                        Salmonella_final_pos_recal - MTBLS2671Resolution: 17μm, 691x430
                                             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.  | 
                                    
                                        
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| 186.0169 | [M+H]+PPM:3.8 | 
                                    Mus musculus | Liver | MALDI (CHCA) | 
                                        Salmonella_final_pos_recal - MTBLS2671Resolution: 17μm, 691x430
                                             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.  | 
                                    
                                        
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| 207.989 | [M+Na]+PPM:2.7 | 
                                    Mus musculus | Liver | MALDI (CHCA) | 
                                        Salmonella_final_pos_recal - MTBLS2671Resolution: 17μm, 691x430
                                             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.  | 
                                    
                                        
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| 203.0424 | [M+NH4]+PPM:1.7 | 
                                    Homo sapiens | colorectal adenocarcinoma | DESI () | 
                                        520TopL, 490TopR, 510BottomL, 500BottomR-profile - MTBLS415Resolution: 17μm, 147x131
                                             The human colorectal adenocarcinoma sample was excised during a surgical operation performed at the Imperial College Healthcare NHS Trust. The sample and procedures were carried out in accordance with ethical approval (14/EE/0024).  | 
                                    
                                        
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| 203.0419 | [M+NH4]+PPM:4.2 | 
                                    Homo sapiens | colorectal adenocarcinoma | DESI () | 
                                        439TopL, 409TopR, 429BottomL, 419BottomR-profile - MTBLS415Resolution: 17μm, 157x136
                                             The human colorectal adenocarcinoma sample was excised during a surgical operation performed at the Imperial College Healthcare NHS Trust. The sample and procedures were carried out in accordance with ethical approval (14/EE/0024).  | 
                                    
                                        
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| 186.0138 | [M+H]+PPM:12.9 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO29_16_3 - MTBLS385Resolution: 17μm, 108x107
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| 168.0066 | [M+H-H2O]+PPM:5.7 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO26_7_2 - MTBLS385Resolution: 17μm, 135x101
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| 186.0132 | [M+H]+PPM:16.1 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        TO31T - MTBLS385Resolution: 75μm, 56x54
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| 203.042 | [M+NH4]+PPM:3.7 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        TO31T - MTBLS385Resolution: 75μm, 56x54
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| 186.0134 | [M+H]+PPM:15.1 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        TO29T - MTBLS385Resolution: 75μm, 56x48
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| 186.0143 | [M+H]+PPM:10.2 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO30_8M_2 - MTBLS385Resolution: 75μm, 108x68
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| 186.0146 | [M+H]+PPM:8.6 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO30_8M_3 - MTBLS385Resolution: 75μm, 69x54
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| 186.014 | [M+H]+PPM:11.8 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO30_17_2 - MTBLS385Resolution: 75μm, 82x54
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| 168.0062 | [M+H-H2O]+PPM:3.4 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO22_1_8 - MTBLS385Resolution: 75μm, 69x61
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| 186.0129 | [M+H]+PPM:17.7 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO22_1_8 - MTBLS385Resolution: 75μm, 69x61
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| 168.0062 | [M+H-H2O]+PPM:3.4 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO22_2_1 - MTBLS385Resolution: 75μm, 89x88
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| 168.0076 | [M+H-H2O]+PPM:11.7 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO22_2_2 - MTBLS385Resolution: 75μm, 135x94
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| 168.0063 | [M+H-H2O]+PPM:4 | 
                                    Homo sapiens | esophagus | DESI () | 
                                        LNTO26_16_1 - MTBLS385Resolution: 75μm, 95x88
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| 203.0422 | [M+NH4]+PPM:2.7 | 
                                    Homo sapiens | colorectal adenocarcinoma | DESI () | 
                                        240TopL, 210TopR, 230BottomL, 220BottomR-centroid - MTBLS176Resolution: 50μm, 142x141
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| 203.0421 | [M+NH4]+PPM:3.2 | 
                                    Homo sapiens | colorectal adenocarcinoma | DESI () | 
                                        160TopL,130TopR,150BottomL,140BottomR-centroid - MTBLS176Resolution: 50μm, 142x136
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The phosphoric acid ester of serine. As a constituent (residue) of proteins, its side chain can undergo O-linked glycosylation. This might be important in explaining some of the devastating consequences of diabetes. It is one of three amino acid residues that are commonly phosphorylated by kinases during cell signalling in eukaryotes. Phosphorylated serine residues are often referred to as phosphoserine. Serine proteases are a common type of protease. Serine, organic compound, one of the 20 amino acids commonly found in animal proteins. Only the L-stereoisomer appears in mammalian protein. It is not essential to the human diet, since it can be synthesized in the body from other metabolites, including glycine. Serine was first obtained from silk protein, a particularly rich source, in 1865. Its name is derived from the Latin for silk, sericum. Serines structure was established in 1902. [HMDB] Phosphoserine is the phosphoric acid ester of the amino acid serine. It is found in essentially all living organisms ranging from microbes to plants to mammals. Phosphoserine is a component of many proteins as the result of posttranslational modifications to the native protein’s serine residue(s). The phosphorylation of the hydroxyl functional group in serine to produce phosphoserine is catalyzed by various types of kinases. Serine is one of three amino acid residues that are commonly phosphorylated by kinases during cell signalling in eukaryotes. Free phosphoserine is found in many biofluids and likely arises from the proteolysis of proteins containing phosphoserine residues (PMID: 7693088). Acquisition and generation of the data is financially supported in part by CREST/JST. KEIO_ID P060 DL-O-Phosphoserine, a normal metabolite in human biofluid, is an ester of serine and phosphoric acid.
