(-)-liquiritigenin

4H-1-Benzopyran-4-one, 2,3-dihydro-7-hydroxy-2-(4-hydroxyphenyl)-, (2S)-

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_test
Resolution: 30μm, 315x42

Description

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 322.1918, 323.1953, 546.4010, and etc, from the single cell deconvolution sampling layer class_4. This test data was tested by chuxiaoping from PANOMIX’s R&D laboratory.

239.0698 [M+H-H2O]+
PPM:2
Plant Root MALDI (DHB)
MPIMM_035_QE_P_PO_6pm - MPIMM_035_QE_P_PO_6pm
Resolution: 30μm, 165x170

Description

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 cells
Resolution: 50μm, 70x70

Description

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 cells
Resolution: 50μm, 70x70

Description

221.0632 [M+H-2H2O]+
PPM:15.8
Vitis vinifera Fruit MALDI (DHB)
grape_dhb_91_1 - Grape Database
Resolution: 50μm, 120x114

Description

Grape berries fruit, condition: Ripe

221.0632 [M+H-2H2O]+
PPM:15.8
Vitis vinifera Fruit MALDI (DHB)
grape_dhb_164_1 - Grape Database
Resolution: 17μm, 136x122

Description

Grape berries fruit, condition: Late

221.0632 [M+H-2H2O]+
PPM:15.8
Vitis vinifera Fruit MALDI (DHB)
grape_dhb_163_1 - Grape Database
Resolution: 17μm, 132x115

Description

Grape berries fruit, condition: Late

221.0586 [M+H-2H2O]+
PPM:5
Posidonia oceanica root MALDI (CHCA)
20190614_MS1_A19r-20 - MTBLS1746
Resolution: 17μm, 262x276

Description

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 - MTBLS1746
Resolution: 17μm, 262x276

Description

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 - MTBLS1746
Resolution: 17μm, 262x276

Description

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 - MTBLS1746
Resolution: 17μm, 262x276

Description

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 - MTBLS1746
Resolution: 17μm, 303x309

Description

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 - MTBLS1746
Resolution: 17μm, 303x309

Description

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 - MTBLS1746
Resolution: 17μm, 246x264

Description

239.0698 [M+H-H2O]+
PPM:2
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

257.0806 [M+H]+
PPM:0.9
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

279.0652 [M+Na]+
PPM:8.7
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

221.059 [M+H-2H2O]+
PPM:3.2
Posidonia oceanica root MALDI (CHCA)
20190828_MS1_A19r-22 - MTBLS1746
Resolution: 17μm, 292x279

Description

239.0695 [M+H-H2O]+
PPM:3.2
Posidonia oceanica root MALDI (CHCA)
20190828_MS1_A19r-22 - MTBLS1746
Resolution: 17μm, 292x279

Description

279.065 [M+Na]+
PPM:8
Posidonia oceanica root MALDI (CHCA)
20190828_MS1_A19r-22 - MTBLS1746
Resolution: 17μm, 292x279

Description

221.0589 [M+H-2H2O]+
PPM:3.6
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

239.0695 [M+H-H2O]+
PPM:3.2
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

257.0805 [M+H]+
PPM:1.3
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

279.0647 [M+Na]+
PPM:6.9
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

239.0733 [M+H-H2O]+
PPM:12.7
Homo sapiens esophagus DESI ()
LNTO22_1_3 - MTBLS385
Resolution: 75μm, 121x68

Description

257.0758 [M+H]+
PPM:19.6
Homo sapiens esophagus DESI ()
LNTO22_1_3 - MTBLS385
Resolution: 75μm, 121x68

Description

239.0741 [M+H-H2O]+
PPM:16
Homo sapiens esophagus DESI ()
LNTO22_1_4 - MTBLS385
Resolution: 17μm, 82x80

Description

239.0747 [M+H-H2O]+
PPM:18.5
Homo sapiens esophagus DESI ()
LNTO29_16_2 - MTBLS385
Resolution: 17μm, 95x101

Description

239.0744 [M+H-H2O]+
PPM:17.3
Homo sapiens esophagus DESI ()
TO42T - MTBLS385
Resolution: 17μm, 69x81

Description

221.0577 [M+H-2H2O]+
PPM:9.1
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.

239.0682 [M+H-H2O]+
PPM:8.6
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.

257.0786 [M+H]+
PPM:8.7
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.

279.0628 [M+Na]+
PPM:0.1
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.

295.1672 [M+K]+
PPM:13.9
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.

239.0679 [M+H-H2O]+
PPM:9.9
Homo sapiens esophagus DESI ()
LNTO22_1_9 - MTBLS385
Resolution: 75μm, 89x74

Description

257.0762 [M+H]+
PPM:18
Homo sapiens esophagus DESI ()
LNTO22_1_9 - MTBLS385
Resolution: 75μm, 89x74

Description

239.0745 [M+H-H2O]+
PPM:17.7
Homo sapiens esophagus DESI ()
LNTO30_8M_1 - MTBLS385
Resolution: 17μm, 69x54

Description

239.0746 [M+H-H2O]+
PPM:18.1
Homo sapiens esophagus DESI ()
TO39T - MTBLS385
Resolution: 17μm, 69x81

Description

221.0597 [M+H-2H2O]+
PPM:
Homo sapiens colorectal adenocarcinoma DESI ()
80TopL, 50TopR, 70BottomL, 60BottomR-profile - MTBLS415
Resolution: 17μm, 137x136

Description

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 - MTBLS415
Resolution: 17μm, 137x136

Description

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 - MTBLS415
Resolution: 17μm, 137x136

Description

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 - MTBLS415
Resolution: 17μm, 147x131

Description

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 - MTBLS415
Resolution: 17μm, 157x136

Description

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 - MTBLS415
Resolution: 17μm, 142x136

Description

257.0763 [M+H]+
PPM:17.6
Homo sapiens NA DESI ()
160TopL,130TopR,150BottomL,140BottomR-profile - MTBLS415
Resolution: 17μm, 142x136

Description

239.0745 [M+H-H2O]+
PPM:17.7
Homo sapiens esophagus DESI ()
LNTO29_16_3 - MTBLS385
Resolution: 17μm, 108x107

Description

239.075 [M+H-H2O]+
PPM:19.8
Homo sapiens esophagus DESI ()
LNTO26_7_1 - MTBLS385
Resolution: 17μm, 75x74

Description

257.0759 [M+H]+
PPM:19.2
Homo sapiens esophagus DESI ()
LNTO26_7_1 - MTBLS385
Resolution: 17μm, 75x74

Description

239.0749 [M+H-H2O]+
PPM:19.4
Homo sapiens esophagus DESI ()
LNTO26_7_3 - MTBLS385
Resolution: 75μm, 82x88

Description

239.0742 [M+H-H2O]+
PPM:16.5
Homo sapiens esophagus DESI ()
TO40T - MTBLS385
Resolution: 17μm, 82x74

Description

239.0746 [M+H-H2O]+
PPM:18.1
Homo sapiens esophagus DESI ()
TO31T - MTBLS385
Resolution: 75μm, 56x54

Description

239.0749 [M+H-H2O]+
PPM:19.4
Homo sapiens esophagus DESI ()
TO29T - MTBLS385
Resolution: 75μm, 56x48

Description

257.0758 [M+H]+
PPM:19.6
Homo sapiens esophagus DESI ()
TO29T - MTBLS385
Resolution: 75μm, 56x48

Description

239.0748 [M+H-H2O]+
PPM:19
Homo sapiens esophagus DESI ()
TO41T - MTBLS385
Resolution: 75μm, 69x43

Description

239.0746 [M+H-H2O]+
PPM:18.1
Homo sapiens esophagus DESI ()
LNTO30_8M_2 - MTBLS385
Resolution: 75μm, 108x68

Description

239.0746 [M+H-H2O]+
PPM:18.1
Homo sapiens esophagus DESI ()
LNTO30_8M_3 - MTBLS385
Resolution: 75μm, 69x54

Description

239.0748 [M+H-H2O]+
PPM:19
Homo sapiens esophagus DESI ()
LNTO30_8M_4 - MTBLS385
Resolution: 75μm, 62x48

Description

239.0747 [M+H-H2O]+
PPM:18.5
Homo sapiens esophagus DESI ()
LNTO30_8M_5 - MTBLS385
Resolution: 75μm, 56x54

Description

239.0747 [M+H-H2O]+
PPM:18.5
Homo sapiens esophagus DESI ()
LNTO30_17_2 - MTBLS385
Resolution: 75μm, 82x54

Description

221.0594 [M+H-2H2O]+
PPM:1.4
Homo sapiens esophagus DESI ()
LNTO22_1_5 - MTBLS385
Resolution: 75μm, 135x94

Description

239.0717 [M+H-H2O]+
PPM:6
Homo sapiens esophagus DESI ()
LNTO22_1_5 - MTBLS385
Resolution: 75μm, 135x94

Description

257.0825 [M+H]+
PPM:6.5
Homo sapiens esophagus DESI ()
LNTO22_1_5 - MTBLS385
Resolution: 75μm, 135x94

Description

239.0749 [M+H-H2O]+
PPM:19.4
Homo sapiens esophagus DESI ()
LNTO22_1_7 - MTBLS385
Resolution: 75μm, 69x54

Description

257.0759 [M+H]+
PPM:19.2
Homo sapiens esophagus DESI ()
LNTO22_1_7 - MTBLS385
Resolution: 75μm, 69x54

Description

295.1753 [M+K]+
PPM:13.5
Homo sapiens esophagus DESI ()
LNTO22_1_7 - MTBLS385
Resolution: 75μm, 69x54

Description

221.0608 [M+H-2H2O]+
PPM:5
Homo sapiens esophagus DESI ()
LNTO22_1_8 - MTBLS385
Resolution: 75μm, 69x61

Description

239.0738 [M+H-H2O]+
PPM:14.8
Homo sapiens esophagus DESI ()
LNTO22_1_8 - MTBLS385
Resolution: 75μm, 69x61

Description

257.0758 [M+H]+
PPM:19.6
Homo sapiens esophagus DESI ()
LNTO22_1_8 - MTBLS385
Resolution: 75μm, 69x61

Description

295.1753 [M+K]+
PPM:13.5
Homo sapiens esophagus DESI ()
LNTO22_1_8 - MTBLS385
Resolution: 75μm, 69x61

Description

239.0717 [M+H-H2O]+
PPM:6
Homo sapiens esophagus DESI ()
LNTO22_2_1 - MTBLS385
Resolution: 75μm, 89x88

Description

239.0749 [M+H-H2O]+
PPM:19.4
Homo sapiens esophagus DESI ()
LNTO26_16_1 - MTBLS385
Resolution: 75μm, 95x88

Description

239.0745 [M+H-H2O]+
PPM:17.7
Homo sapiens esophagus DESI ()
LNTO29_18_2 - MTBLS385
Resolution: 75μm, 62x68

Description

239.0745 [M+H-H2O]+
PPM:17.7
Homo sapiens esophagus DESI ()
LNTO30_7_1 - MTBLS385
Resolution: 75μm, 69x68

Description

239.075 [M+H-H2O]+
PPM:19.8
Homo sapiens esophagus DESI ()
LNTO30_7_2 - MTBLS385
Resolution: 75μm, 82x68

Description

221.0574 [M+H-2H2O]+
PPM:10.4
Homo sapiens colorectal adenocarcinoma DESI ()
240TopL, 210TopR, 230BottomL, 220BottomR-centroid - MTBLS176
Resolution: 50μm, 142x141

Description

239.0746 [M+H-H2O]+
PPM:18.1
Homo sapiens colorectal adenocarcinoma DESI ()
240TopL, 210TopR, 230BottomL, 220BottomR-centroid - MTBLS176
Resolution: 50μm, 142x141

Description

221.0584 [M+H-2H2O]+
PPM:5.9
Homo sapiens colorectal adenocarcinoma DESI ()
200TopL, 170TopR, 190BottomL, 180BottomR-centroid - MTBLS176
Resolution: 50μm, 132x126

Description

239.0748 [M+H-H2O]+
PPM:19
Homo sapiens colorectal adenocarcinoma DESI ()
200TopL, 170TopR, 190BottomL, 180BottomR-centroid - MTBLS176
Resolution: 50μm, 132x126

Description

257.0757 [M+H]+
PPM:20
Homo sapiens colorectal adenocarcinoma DESI ()
200TopL, 170TopR, 190BottomL, 180BottomR-centroid - MTBLS176
Resolution: 50μm, 132x126

Description

221.0582 [M+H-2H2O]+
PPM:6.8
Homo sapiens colorectal adenocarcinoma DESI ()
160TopL,130TopR,150BottomL,140BottomR-centroid - MTBLS176
Resolution: 50μm, 142x136

Description

239.0745 [M+H-H2O]+
PPM:17.7
Homo sapiens colorectal adenocarcinoma DESI ()
160TopL,130TopR,150BottomL,140BottomR-centroid - MTBLS176
Resolution: 50μm, 142x136

Description

221.0577 [M+H-2H2O]+
PPM:9.1
Homo sapiens colorectal adenocarcinoma DESI ()
120TopL, 90TopR, 110BottomL, 100BottomR-centroid - MTBLS176
Resolution: 50μm, 132x136

Description

239.0747 [M+H-H2O]+
PPM:18.5
Homo sapiens colorectal adenocarcinoma DESI ()
120TopL, 90TopR, 110BottomL, 100BottomR-centroid - MTBLS176
Resolution: 50μm, 132x136

Description


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.