Cucurbitacin D
Formula: C30H44O7 (516.3087)
Chinese Name: 葫芦素 D, 葫芦素D
BioDeep ID: BioDeep_00000000567
( View LC/MS Profile)
SMILES: [C@@]12(C)C[C@H]([C@]([H])([C@](O)(C)C(=O)C=CC(O)(C)C)[C@@]1(C)CC([C@@]1(C)[C@]3([H])C[C@@H](C(=O)C(C)(C)C3=CC[C@@]21[H])O)=O)O
Found 17 Sample Hits
m/z | Adducts | Species | Organ | Scanning | Sample | |
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517.3097 | [M+H]+PPM:12.1 |
Bathymodiolus | epithelial host cells | MALDI (DHB) |
MPIBremen_Bputeoserpentis_MALDI-FISH_DHB_233x233pixel_3um_mz400-1200_240k@200 - MTBLS744Resolution: 3μm, 233x233
The Bathymodiolus puteoserpentis specimen used for high resolution AP-MALDI-MSI was collected during the RV Meteor M126 cruise in 2016 at the Logatchev hydrothermal vent field on the Mid-Atlantic Ridge. The specimen was retrieved with the MARUM-Quest remotely operated vehicle (ROV) at the Irina II vent site at 3038 m depth, 14°45’11.01”N and 44°58’43.98”W, and placed in an insulated container to prevent temperature changes during recovery. Gills were dissected from the mussel as soon as brought on board after ROV retrieval, submerged in precooled 2% w/v carboxymethyl cellulose gel (CMC, Mw ~ 700,000, Sigma-Aldrich Chemie GmbH) and snap-frozen in liquid N2. Samples were stored at -80 °C until use.
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517.3097 | [M+H]+PPM:12.1 |
Bathymodiolus | epithelial host cells | MALDI (DHB) |
MPIMM_054_QE_P_BP_CF_Bputeoserpentis_MALDI-FISH8_Sl16_s1_DHB_233x233_3um - MTBLS744Resolution: 3μm, 233x233
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517.3097 | [M+H]+PPM:12.1 |
Bathymodiolus | epithelial host cells | MALDI (DHB) |
MPIMM_039_QE_P_BP_CF_Bputeoserpentis_MALDI-FISH8_Sl14_s1_DHB_233x233_3um - MTBLS744Resolution: 3μm, 233x234
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481.2924 | [M+H-2H2O]+PPM:5.1 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_4 - MTBLS385Resolution: 17μm, 82x80
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517.3129 | [M+H]+PPM:5.9 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_4 - MTBLS385Resolution: 17μm, 82x80
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534.3426 | [M+NH4]+PPM:0.2 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_4 - MTBLS385Resolution: 17μm, 82x80
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499.3071 | [M+H-H2O]+PPM:3.4 |
Homo sapiens | esophagus | DESI () |
LNTO29_16_2 - MTBLS385Resolution: 17μm, 95x101
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481.2925 | [M+H-2H2O]+PPM:4.8 |
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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516.3362 | [M-H2O+NH4]+PPM:8.2 |
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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517.3122 | [M+H]+PPM:7.3 |
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. |
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534.3484 | [M+NH4]+PPM:11 |
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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534.353 | [M+NH4]+PPM:19.6 |
Mytilus edulis | gill | MALDI (DHB) |
20190202_MS38_Crassostrea_Gill_350-1500_DHB_pos_A25_11um_305x210 - MTBLS2960Resolution: 11μm, 305x210
single cell layer |
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481.2917 | [M+H-2H2O]+PPM:6.5 |
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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499.3067 | [M+H-H2O]+PPM:2.6 |
Homo sapiens | esophagus | DESI () |
LNTO29_16_3 - MTBLS385Resolution: 17μm, 108x107
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481.2992 | [M+H-2H2O]+PPM:9.1 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
240TopL, 210TopR, 230BottomL, 220BottomR-centroid - MTBLS176Resolution: 50μm, 142x141
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481.299 | [M+H-2H2O]+PPM:8.7 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
160TopL,130TopR,150BottomL,140BottomR-centroid - MTBLS176Resolution: 50μm, 142x136
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481.2993 | [M+H-2H2O]+PPM:9.3 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
120TopL, 90TopR, 110BottomL, 100BottomR-centroid - MTBLS176Resolution: 50μm, 132x136
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Cucurbitacin D is a cucurbitacin in which a lanostane skeleton is multi-substituted with hydroxy, methyl and oxo substituents, with unsaturation at positions 5 and 23. It is a cucurbitacin, a secondary alpha-hydroxy ketone and a tertiary alpha-hydroxy ketone. It derives from a hydride of a lanostane. Cucurbitacin D is a natural product found in Elaeocarpus chinensis, Elaeocarpus hainanensis, and other organisms with data available. Cucurbitacin D is found in calabash. Cucurbitacin D is isolated from plants of the Cucurbitacea Cucurbitacin D is an active component in Trichosanthes kirilowii, disrupts interactions between Hsp90 and two co-chaperones, Cdc37 and p23. Cucurbitacin D prevents Hsp90 client (Her2, Raf, Cdk6, pAkt) maturation without induction of the heat shock response. Anti-cancer activity[1]. Cucurbitacin D is an active component in Trichosanthes kirilowii, disrupts interactions between Hsp90 and two co-chaperones, Cdc37 and p23. Cucurbitacin D prevents Hsp90 client (Her2, Raf, Cdk6, pAkt) maturation without induction of the heat shock response. Anti-cancer activity[1].