(-)-liquiritigenin
Formula: C15H12O4 (256.0736)
Chinese Name: 甘草素
BioDeep ID: BioDeep_00000000383
( View LC/MS Profile)
SMILES: C1(O)C=C2O[C@]([H])(C3C=CC(O)=CC=3)CC(=O)C2=CC=1
Found 83 Sample Hits
| m/z | Adducts | Species | Organ | Scanning | Sample | |
|---|---|---|---|---|---|---|
| 295.1731 | [M+K]+PPM:6.1 |
Marker Pen | NA | DESI (None) |
3ul_0.8Mpa_RAW_20241016-PAPER PNMK - MEMI_testResolution: 30μm, 315x42
By writing the four English letters “PNMK” on white paper with a marker pen, and then scanning with a DESI ion source to obtain the scanning result. The signal of the chemical substances on the marker pen used appears on the channel with an m/z value of |
|
| 239.0698 | [M+H-H2O]+PPM:2 |
Plant | Root | MALDI (DHB) |
MPIMM_035_QE_P_PO_6pm - MPIMM_035_QE_P_PO_6pmResolution: 30μm, 165x170
|
|
| 221.0611 | [M+H-2H2O]+PPM:6.3 |
Homo sapiens | Liver | MALDI (DHB) |
20171107_FIT4_DHBpos_p70_s50 - Rappez et al (2021) SpaceM reveals metabolic states of single cellsResolution: 50μm, 70x70
|
|
| 239.0713 | [M+H-H2O]+PPM:4.3 |
Homo sapiens | Liver | MALDI (DHB) |
20171107_FIT4_DHBpos_p70_s50 - Rappez et al (2021) SpaceM reveals metabolic states of single cellsResolution: 50μm, 70x70
|
|
| 221.0632 | [M+H-2H2O]+PPM:15.8 |
Vitis vinifera | Fruit | MALDI (DHB) |
grape_dhb_91_1 - Grape DatabaseResolution: 50μm, 120x114
Grape berries fruit, condition: Ripe |
|
| 221.0632 | [M+H-2H2O]+PPM:15.8 |
Vitis vinifera | Fruit | MALDI (DHB) |
grape_dhb_164_1 - Grape DatabaseResolution: 17μm, 136x122
Grape berries fruit, condition: Late |
|
| 221.0632 | [M+H-2H2O]+PPM:15.8 |
Vitis vinifera | Fruit | MALDI (DHB) |
grape_dhb_163_1 - Grape DatabaseResolution: 17μm, 132x115
Grape berries fruit, condition: Late |
|
| 221.0586 | [M+H-2H2O]+PPM:5 |
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. |
|
| 239.0689 | [M+H-H2O]+PPM:5.7 |
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. |
|
| 257.0793 | [M+H]+PPM: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. |
|
| 279.0648 | [M+Na]+PPM:7.3 |
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. |
|
| 239.0698 | [M+H-H2O]+PPM:2 |
Posidonia oceanica | root | MALDI (CHCA) |
20190822_MS1_A19r-19 - MTBLS1746Resolution: 17μm, 303x309
Seagrasses are among the most efficient sinks of carbon dioxide on Earth. While carbon sequestration in terrestrial plants is linked to the microorganisms living in their soils, the interactions of seagrasses with their rhizospheres are poorly understood. Here, we show that the seagrass, Posidonia oceanica excretes sugars, mainly sucrose, into its rhizosphere. These sugars accumulate to µM concentrations—nearly 80 times higher than previously observed in marine environments. This finding is unexpected as sugars are readily consumed by microorganisms. Our experiments indicated that under low oxygen conditions, phenolic compounds from P. oceanica inhibited microbial consumption of sucrose. Analyses of the rhizosphere community revealed that many microbes had the genes for degrading sucrose but these were only expressed by a few taxa that also expressed genes for degrading phenolics. Given that we observed high sucrose concentrations underneath three other species of marine plants, we predict that the presence of plant-produced phenolics under low oxygen conditions allows the accumulation of labile molecules across aquatic rhizospheres. |
|
| 279.0646 | [M+Na]+PPM:6.5 |
Posidonia oceanica | root | MALDI (CHCA) |
20190822_MS1_A19r-19 - MTBLS1746Resolution: 17μm, 303x309
Seagrasses are among the most efficient sinks of carbon dioxide on Earth. While carbon sequestration in terrestrial plants is linked to the microorganisms living in their soils, the interactions of seagrasses with their rhizospheres are poorly understood. Here, we show that the seagrass, Posidonia oceanica excretes sugars, mainly sucrose, into its rhizosphere. These sugars accumulate to µM concentrations—nearly 80 times higher than previously observed in marine environments. This finding is unexpected as sugars are readily consumed by microorganisms. Our experiments indicated that under low oxygen conditions, phenolic compounds from P. oceanica inhibited microbial consumption of sucrose. Analyses of the rhizosphere community revealed that many microbes had the genes for degrading sucrose but these were only expressed by a few taxa that also expressed genes for degrading phenolics. Given that we observed high sucrose concentrations underneath three other species of marine plants, we predict that the presence of plant-produced phenolics under low oxygen conditions allows the accumulation of labile molecules across aquatic rhizospheres. |
|
| 221.0593 | [M+H-2H2O]+PPM:1.8 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
| 239.0698 | [M+H-H2O]+PPM:2 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
| 257.0806 | [M+H]+PPM:0.9 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
| 279.0652 | [M+Na]+PPM:8.7 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
| 221.059 | [M+H-2H2O]+PPM:3.2 |
Posidonia oceanica | root | MALDI (CHCA) |
20190828_MS1_A19r-22 - MTBLS1746Resolution: 17μm, 292x279
|
|
| 239.0695 | [M+H-H2O]+PPM:3.2 |
Posidonia oceanica | root | MALDI (CHCA) |
20190828_MS1_A19r-22 - MTBLS1746Resolution: 17μm, 292x279
|
|
| 279.065 | [M+Na]+PPM:8 |
Posidonia oceanica | root | MALDI (CHCA) |
20190828_MS1_A19r-22 - MTBLS1746Resolution: 17μm, 292x279
|
|
| 221.0589 | [M+H-2H2O]+PPM:3.6 |
Posidonia oceanica | root | MALDI (CHCA) |
MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
|
|
| 239.0695 | [M+H-H2O]+PPM:3.2 |
Posidonia oceanica | root | MALDI (CHCA) |
MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
|
|
| 257.0805 | [M+H]+PPM:1.3 |
Posidonia oceanica | root | MALDI (CHCA) |
MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
|
|
| 279.0647 | [M+Na]+PPM:6.9 |
Posidonia oceanica | root | MALDI (CHCA) |
MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
|
|
| 239.0733 | [M+H-H2O]+PPM:12.7 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_3 - MTBLS385Resolution: 75μm, 121x68
|
|
| 257.0758 | [M+H]+PPM:19.6 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_3 - MTBLS385Resolution: 75μm, 121x68
|
|
| 239.0741 | [M+H-H2O]+PPM:16 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_4 - MTBLS385Resolution: 17μm, 82x80
|
|
| 239.0747 | [M+H-H2O]+PPM:18.5 |
Homo sapiens | esophagus | DESI () |
LNTO29_16_2 - MTBLS385Resolution: 17μm, 95x101
|
|
| 239.0744 | [M+H-H2O]+PPM:17.3 |
Homo sapiens | esophagus | DESI () |
TO42T - MTBLS385Resolution: 17μm, 69x81
|
|
| 221.0577 | [M+H-2H2O]+PPM:9.1 |
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. |
|
| 239.0682 | [M+H-H2O]+PPM:8.6 |
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. |
|
| 257.0786 | [M+H]+PPM:8.7 |
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. |
|
| 279.0628 | [M+Na]+PPM:0.1 |
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. |
|
| 295.1672 | [M+K]+PPM:13.9 |
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. |
|
| 239.0679 | [M+H-H2O]+PPM:9.9 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_9 - MTBLS385Resolution: 75μm, 89x74
|
|
| 257.0762 | [M+H]+PPM:18 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_9 - MTBLS385Resolution: 75μm, 89x74
|
|
| 239.0745 | [M+H-H2O]+PPM:17.7 |
Homo sapiens | esophagus | DESI () |
LNTO30_8M_1 - MTBLS385Resolution: 17μm, 69x54
|
|
| 239.0746 | [M+H-H2O]+PPM:18.1 |
Homo sapiens | esophagus | DESI () |
TO39T - MTBLS385Resolution: 17μm, 69x81
|
|
| 221.0597 | [M+H-2H2O]+PPM: |
Homo sapiens | colorectal adenocarcinoma | DESI () |
80TopL, 50TopR, 70BottomL, 60BottomR-profile - MTBLS415Resolution: 17μm, 137x136
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). |
|
| 239.0749 | [M+H-H2O]+PPM:19.4 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
80TopL, 50TopR, 70BottomL, 60BottomR-profile - MTBLS415Resolution: 17μm, 137x136
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). |
|
| 257.076 | [M+H]+PPM:18.8 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
80TopL, 50TopR, 70BottomL, 60BottomR-profile - MTBLS415Resolution: 17μm, 137x136
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). |
|
| 239.0748 | [M+H-H2O]+PPM:19 |
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). |
|
| 221.0578 | [M+H-2H2O]+PPM:8.6 |
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). |
|
| 221.0582 | [M+H-2H2O]+PPM:6.8 |
Homo sapiens | NA | DESI () |
160TopL,130TopR,150BottomL,140BottomR-profile - MTBLS415Resolution: 17μm, 142x136
|
|
| 257.0763 | [M+H]+PPM:17.6 |
Homo sapiens | NA | DESI () |
160TopL,130TopR,150BottomL,140BottomR-profile - MTBLS415Resolution: 17μm, 142x136
|
|
| 239.0745 | [M+H-H2O]+PPM:17.7 |
Homo sapiens | esophagus | DESI () |
LNTO29_16_3 - MTBLS385Resolution: 17μm, 108x107
|
|
| 239.075 | [M+H-H2O]+PPM:19.8 |
Homo sapiens | esophagus | DESI () |
LNTO26_7_1 - MTBLS385Resolution: 17μm, 75x74
|
|
| 257.0759 | [M+H]+PPM:19.2 |
Homo sapiens | esophagus | DESI () |
LNTO26_7_1 - MTBLS385Resolution: 17μm, 75x74
|
|
| 239.0749 | [M+H-H2O]+PPM:19.4 |
Homo sapiens | esophagus | DESI () |
LNTO26_7_3 - MTBLS385Resolution: 75μm, 82x88
|
|
| 239.0742 | [M+H-H2O]+PPM:16.5 |
Homo sapiens | esophagus | DESI () |
TO40T - MTBLS385Resolution: 17μm, 82x74
|
|
| 239.0746 | [M+H-H2O]+PPM:18.1 |
Homo sapiens | esophagus | DESI () |
TO31T - MTBLS385Resolution: 75μm, 56x54
|
|
| 239.0749 | [M+H-H2O]+PPM:19.4 |
Homo sapiens | esophagus | DESI () |
TO29T - MTBLS385Resolution: 75μm, 56x48
|
|
| 257.0758 | [M+H]+PPM:19.6 |
Homo sapiens | esophagus | DESI () |
TO29T - MTBLS385Resolution: 75μm, 56x48
|
|
| 239.0748 | [M+H-H2O]+PPM:19 |
Homo sapiens | esophagus | DESI () |
TO41T - MTBLS385Resolution: 75μm, 69x43
|
|
| 239.0746 | [M+H-H2O]+PPM:18.1 |
Homo sapiens | esophagus | DESI () |
LNTO30_8M_2 - MTBLS385Resolution: 75μm, 108x68
|
|
| 239.0746 | [M+H-H2O]+PPM:18.1 |
Homo sapiens | esophagus | DESI () |
LNTO30_8M_3 - MTBLS385Resolution: 75μm, 69x54
|
|
| 239.0748 | [M+H-H2O]+PPM:19 |
Homo sapiens | esophagus | DESI () |
LNTO30_8M_4 - MTBLS385Resolution: 75μm, 62x48
|
|
| 239.0747 | [M+H-H2O]+PPM:18.5 |
Homo sapiens | esophagus | DESI () |
LNTO30_8M_5 - MTBLS385Resolution: 75μm, 56x54
|
|
| 239.0747 | [M+H-H2O]+PPM:18.5 |
Homo sapiens | esophagus | DESI () |
LNTO30_17_2 - MTBLS385Resolution: 75μm, 82x54
|
|
| 221.0594 | [M+H-2H2O]+PPM:1.4 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_5 - MTBLS385Resolution: 75μm, 135x94
|
|
| 239.0717 | [M+H-H2O]+PPM:6 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_5 - MTBLS385Resolution: 75μm, 135x94
|
|
| 257.0825 | [M+H]+PPM:6.5 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_5 - MTBLS385Resolution: 75μm, 135x94
|
|
| 239.0749 | [M+H-H2O]+PPM:19.4 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_7 - MTBLS385Resolution: 75μm, 69x54
|
|
| 257.0759 | [M+H]+PPM:19.2 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_7 - MTBLS385Resolution: 75μm, 69x54
|
|
| 295.1753 | [M+K]+PPM:13.5 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_7 - MTBLS385Resolution: 75μm, 69x54
|
|
| 221.0608 | [M+H-2H2O]+PPM:5 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_8 - MTBLS385Resolution: 75μm, 69x61
|
|
| 239.0738 | [M+H-H2O]+PPM:14.8 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_8 - MTBLS385Resolution: 75μm, 69x61
|
|
| 257.0758 | [M+H]+PPM:19.6 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_8 - MTBLS385Resolution: 75μm, 69x61
|
|
| 295.1753 | [M+K]+PPM:13.5 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_8 - MTBLS385Resolution: 75μm, 69x61
|
|
| 239.0717 | [M+H-H2O]+PPM:6 |
Homo sapiens | esophagus | DESI () |
LNTO22_2_1 - MTBLS385Resolution: 75μm, 89x88
|
|
| 239.0749 | [M+H-H2O]+PPM:19.4 |
Homo sapiens | esophagus | DESI () |
LNTO26_16_1 - MTBLS385Resolution: 75μm, 95x88
|
|
| 239.0745 | [M+H-H2O]+PPM:17.7 |
Homo sapiens | esophagus | DESI () |
LNTO29_18_2 - MTBLS385Resolution: 75μm, 62x68
|
|
| 239.0745 | [M+H-H2O]+PPM:17.7 |
Homo sapiens | esophagus | DESI () |
LNTO30_7_1 - MTBLS385Resolution: 75μm, 69x68
|
|
| 239.075 | [M+H-H2O]+PPM:19.8 |
Homo sapiens | esophagus | DESI () |
LNTO30_7_2 - MTBLS385Resolution: 75μm, 82x68
|
|
| 221.0574 | [M+H-2H2O]+PPM:10.4 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
240TopL, 210TopR, 230BottomL, 220BottomR-centroid - MTBLS176Resolution: 50μm, 142x141
|
|
| 239.0746 | [M+H-H2O]+PPM:18.1 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
240TopL, 210TopR, 230BottomL, 220BottomR-centroid - MTBLS176Resolution: 50μm, 142x141
|
|
| 221.0584 | [M+H-2H2O]+PPM:5.9 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
200TopL, 170TopR, 190BottomL, 180BottomR-centroid - MTBLS176Resolution: 50μm, 132x126
|
|
| 239.0748 | [M+H-H2O]+PPM:19 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
200TopL, 170TopR, 190BottomL, 180BottomR-centroid - MTBLS176Resolution: 50μm, 132x126
|
|
| 257.0757 | [M+H]+PPM:20 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
200TopL, 170TopR, 190BottomL, 180BottomR-centroid - MTBLS176Resolution: 50μm, 132x126
|
|
| 221.0582 | [M+H-2H2O]+PPM:6.8 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
160TopL,130TopR,150BottomL,140BottomR-centroid - MTBLS176Resolution: 50μm, 142x136
|
|
| 239.0745 | [M+H-H2O]+PPM:17.7 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
160TopL,130TopR,150BottomL,140BottomR-centroid - MTBLS176Resolution: 50μm, 142x136
|
|
| 221.0577 | [M+H-2H2O]+PPM:9.1 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
120TopL, 90TopR, 110BottomL, 100BottomR-centroid - MTBLS176Resolution: 50μm, 132x136
|
|
| 239.0747 | [M+H-H2O]+PPM:18.5 |
Homo sapiens | colorectal adenocarcinoma | DESI () |
120TopL, 90TopR, 110BottomL, 100BottomR-centroid - MTBLS176Resolution: 50μm, 132x136
|
|
Liquiritigenin is a dihydroxyflavanone compound having the two hydroxy substituents at the 4- and 7-positions. Isolated from the root of Glycyrrhizae uralensis, it is a selective agonist for oestrogen receptor beta. It has a role as a hormone agonist and a plant metabolite. 5-deoxyflavanone is a solid. This compound belongs to the flavanones. These are compounds containing a flavan-3-one moiety, whose structure is characterized by a 2-phenyl-3,4-dihydro-2H-1-benzopyran bearing a ketone at the carbon C3. MF101 is a novel estrogen receptor beta (ERβ) selective agonist and unlike currently available hormone therapies, does not activate the estrogen receptor alpha (ERα), known to be implicated in tumor formation. MF101 is an oral drug designed for the treatment of hot flashes and night sweats in peri-menopausal and menopausal women. Liquiritigenin is a natural product found in Dracaena draco, Pterocarpus marsupium, and other organisms with data available. See also: Glycyrrhiza Glabra (part of); Glycyrrhiza uralensis Root (part of); Pterocarpus marsupium wood (part of). Isolated from Glycyrrhiza, Medicago, Myroxylon, Cicer and all Leguminosae subspecies Several glycosides, particularly the rutinoside and neohesperidoside, are important in influencing citrus fruit flavour [DFC]. Liquiritigenin is found in many foods, some of which are sorrel, roselle, pepper (c. annuum), and black crowberry. Liquiritigenin is found in alfalfa. Liquiritigenin is isolated from Glycyrrhiza, Medicago, Myroxylon, Cicer, and all Leguminosae species. Several glycosides, particularly rutinoside and neohesperidoside, are important in influencing citrus fruit flavour. A dihydroxyflavanone compound having the two hydroxy substituents at the 4- and 7-positions. Isolated from the root of Glycyrrhizae uralensis, it is a selective agonist for oestrogen receptor beta. Liquiritigenin, a flavanone isolated from Glycyrrhiza uralensis, is a highly selective estrogen receptor β (ERβ) agonist with an EC50 of 36.5 nM for activation of the ERE tk-Luc. Liquiritigenin, a flavanone isolated from Glycyrrhiza uralensis, is a highly selective estrogen receptor β (ERβ) agonist with an EC50 of 36.5 nM for activation of the ERE tk-Luc.
