Penicillin G
Formula: C16H18N2O4S (334.0987)
Chinese Name: 青霉素, 青霉素G
BioDeep ID: BioDeep_00000002209
( View LC/MS Profile)
SMILES: [H][C@]12SC(C)(C)[C@@H](N1C(=O)[C@H]2NC(=O)CC1=CC=CC=C1)C(O)=O
Found 9 Sample Hits
| m/z | Adducts | Species | Organ | Scanning | Sample | |
|---|---|---|---|---|---|---|
| 335.1011 | [M+H]+PPM:14.6 |
Mus musculus | Kidney | MALDI (CHCA) |
FULL_MS_centriod_CHCA_20210819 - FULL_MS_centriod_CHCA_20210819Resolution: 17μm, 638x437
AP-MALDI instrument demo test, mass spectrum scan in centroid mode. |
|
| 299.0893 | [M+H-2H2O]+PPM:14.8 |
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. |
|
| 317.1003 | [M+H-H2O]+PPM:15.3 |
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. |
|
| 335.1102 | [M+H]+PPM:12.5 |
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. |
|
| 317.0947 | [M+H-H2O]+PPM:2.3 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_9 - MTBLS385Resolution: 75μm, 89x74
|
|
| 317.0938 | [M+H-H2O]+PPM:5.2 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_7 - MTBLS385Resolution: 75μm, 69x54
|
|
| 335.102 | [M+H]+PPM:11.9 |
Mus musculus | brain | MALDI (DHB) |
Brain02_Bregma1-42_03 - MTBLS313Resolution: 17μm, 483x403
|
|
| 335.102 | [M+H]+PPM:11.9 |
Mus musculus | brain | MALDI (DHB) |
Brain02_Bregma-3-88 - MTBLS313Resolution: 17μm, 288x282
|
|
| 335.102 | [M+H]+PPM:11.9 |
Mus musculus | brain | MALDI (DHB) |
Brain02_Bregma-1-46 - MTBLS313Resolution: 17μm, 294x399
|
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Penicillin G is narrow spectrum antibiotic used to treat infections caused by susceptible bacteria. It is a natural penicillin antibiotic that is administered intravenously or intramuscularly due to poor oral absorption. Penicillin G may also be used in some cases as prophylaxis against susceptible organisms. Natural penicillins are considered the drugs of choice for several infections caused by susceptible gram positive aerobic organisms, such as Streptococcus pneumoniae, groups A, B, C and G streptococci, nonenterococcal group D streptococci, viridans group streptococci, and non-penicillinase producing staphylococcus. Aminoglycosides may be added for synergy against group B streptococcus (S. agalactiae), S. viridans, and Enterococcus faecalis. The natural penicillins may also be used as first or second line agents against susceptible gram positive aerobic bacilli such as Bacillus anthracis, Corynebacterium diphtheriae, and Erysipelothrix rhusiopathiae. Natural penicillins have limited activity against gram negative organisms; however, they may be used in some cases to treat infections caused by Neisseria meningitidis and Pasteurella. They are not generally used to treat anaerobic infections. Resistance patterns, susceptibility and treatment guidelines vary across regions. J - Antiinfectives for systemic use > J01 - Antibacterials for systemic use > J01C - Beta-lactam antibacterials, penicillins > J01CE - Beta-lactamase sensitive penicillins D000890 - Anti-Infective Agents > D000900 - Anti-Bacterial Agents > D047090 - beta-Lactams S - Sensory organs > S01 - Ophthalmologicals > S01A - Antiinfectives > S01AA - Antibiotics D000890 - Anti-Infective Agents > D000900 - Anti-Bacterial Agents > D010406 - Penicillins D000890 - Anti-Infective Agents > D000900 - Anti-Bacterial Agents > D007769 - Lactams C254 - Anti-Infective Agent > C258 - Antibiotic > C260 - Beta-Lactam Antibiotic
