Formononetin

7-hydroxy-3-(4-methoxyphenyl)-4H-chromen-4-one

Formula: C16H12O4 (268.0736)
Chinese Name: 7-羟基-4-甲氧基异黄酮, 刺芒柄花素, 芒柄花黄素, 芒柄花素
BioDeep ID: BioDeep_00000000371 ( View LC/MS Profile)
SMILES: C1(O)=CC2OC=C(C3=CC=C(OC)C=C3)C(=O)C=2C=C1



Found 46 Sample Hits

m/z Adducts Species Organ Scanning Sample
251.0691 [M+H-H2O]+
PPM:4.6
Plant Root MALDI (DHB)
MPIMM_035_QE_P_PO_6pm - MPIMM_035_QE_P_PO_6pm
Resolution: 30μm, 165x170

Description

269.0781 [M+H]+
PPM:10.2
Plant Root MALDI (DHB)
MPIMM_035_QE_P_PO_6pm - MPIMM_035_QE_P_PO_6pm
Resolution: 30μm, 165x170

Description

291.0594 [M+Na]+
PPM:11.6
Plant Root MALDI (DHB)
MPIMM_035_QE_P_PO_6pm - MPIMM_035_QE_P_PO_6pm
Resolution: 30μm, 165x170

Description

251.0708 [M+H-H2O]+
PPM:2.1
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

269.0808 [M+H]+
PPM:0.1
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

291.0629 [M+Na]+
PPM:0.4
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

233.0632 [M+H-2H2O]+
PPM:15
Vitis vinifera Fruit MALDI (DHB)
grape_dhb_91_1 - Grape Database
Resolution: 50μm, 120x114

Description

Grape berries fruit, condition: Ripe

233.0632 [M+H-2H2O]+
PPM:15
Vitis vinifera Fruit MALDI (DHB)
grape_dhb_163_1 - Grape Database
Resolution: 17μm, 132x115

Description

Grape berries fruit, condition: Late

233.0622 [M+H-2H2O]+
PPM:10.7
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.

251.0697 [M+H-H2O]+
PPM:2.3
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.

268.0715 [M]+
PPM:5.6
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.

269.0803 [M+H]+
PPM:2
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.

291.0684 [M+Na]+
PPM:19.3
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.

307.1774 [M+K]+
PPM:19.8
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.

251.07 [M+H-H2O]+
PPM:1.1
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.

269.0788 [M+H]+
PPM:7.6
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.

233.0599 [M+H-2H2O]+
PPM:0.9
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

251.0702 [M+H-H2O]+
PPM:0.3
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

268.0716 [M]+
PPM:5.2
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

269.0807 [M+H]+
PPM:0.5
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

291.0681 [M+Na]+
PPM:18.3
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

251.0699 [M+H-H2O]+
PPM:1.5
Posidonia oceanica root MALDI (CHCA)
20190828_MS1_A19r-22 - MTBLS1746
Resolution: 17μm, 292x279

Description

269.0803 [M+H]+
PPM:2
Posidonia oceanica root MALDI (CHCA)
20190828_MS1_A19r-22 - MTBLS1746
Resolution: 17μm, 292x279

Description

291.0683 [M+Na]+
PPM:19
Posidonia oceanica root MALDI (CHCA)
20190828_MS1_A19r-22 - MTBLS1746
Resolution: 17μm, 292x279

Description

233.0573 [M+H-2H2O]+
PPM:10.3
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

251.0698 [M+H-H2O]+
PPM:1.9
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

268.0714 [M]+
PPM:6
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

269.0805 [M+H]+
PPM:1.2
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

291.0625 [M+Na]+
PPM:0.9
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

269.0862 [M+H]+
PPM:20
Homo sapiens esophagus DESI ()
LNTO22_1_4 - MTBLS385
Resolution: 17μm, 82x80

Description

251.0681 [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.

269.0788 [M+H]+
PPM:7.6
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.

307.167 [M+K]+
PPM:14
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.

291.0614 [M+Na]+
PPM:4.7
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).

269.0842 [M+H]+
PPM:12.5
Homo sapiens NA DESI ()
160TopL,130TopR,150BottomL,140BottomR-profile - MTBLS415
Resolution: 17μm, 142x136

Description

269.0855 [M+H]+
PPM:17.3
Homo sapiens esophagus DESI ()
LNTO30_17_2 - MTBLS385
Resolution: 75μm, 82x54

Description

251.0716 [M+H-H2O]+
PPM:5.3
Homo sapiens esophagus DESI ()
LNTO22_1_5 - MTBLS385
Resolution: 75μm, 135x94

Description

269.0826 [M+H]+
PPM:6.6
Homo sapiens esophagus DESI ()
LNTO22_1_5 - MTBLS385
Resolution: 75μm, 135x94

Description

233.0617 [M+H-2H2O]+
PPM:8.6
Homo sapiens esophagus DESI ()
LNTO22_1_8 - MTBLS385
Resolution: 75μm, 69x61

Description

251.0723 [M+H-H2O]+
PPM:8.1
Homo sapiens esophagus DESI ()
LNTO22_1_8 - MTBLS385
Resolution: 75μm, 69x61

Description

269.0822 [M+H]+
PPM:5.1
Homo sapiens esophagus DESI ()
LNTO22_1_8 - MTBLS385
Resolution: 75μm, 69x61

Description

269.0819 [M+H]+
PPM:4
Homo sapiens esophagus DESI ()
LNTO22_2_1 - MTBLS385
Resolution: 75μm, 89x88

Description

291.0574 [M+Na]+
PPM:18.5
Homo sapiens colorectal adenocarcinoma DESI ()
240TopL, 210TopR, 230BottomL, 220BottomR-centroid - MTBLS176
Resolution: 50μm, 142x141

Description

291.0571 [M+Na]+
PPM:19.5
Homo sapiens colorectal adenocarcinoma DESI ()
160TopL,130TopR,150BottomL,140BottomR-centroid - MTBLS176
Resolution: 50μm, 142x136

Description

251.0702 [M+H-H2O]+
PPM:0.3
Drosophila melanogaster brain MALDI (DHB)
Drosophila18 - 2019-10-16_14h26m34s
Resolution: 5μm, 686x685

Description

Sample information Organism: Drosophila melanogaster Organism part: Brain Condition: Healthy Sample preparation Sample stabilisation: Frozen Tissue modification: Frozen MALDI matrix: 2,5-dihydroxybenzoic acid (DHB) MALDI matrix application: TM sprayer Solvent: Aceton/water MS analysis Polarity: Positive Ionisation source: Prototype Analyzer: Orbitrap Pixel size: 5μm × 5μm Annotation settings m/z tolerance (ppm): 3 Analysis version: Original MSM Pixel count: 469910 Imzml file size: 696.23 MB Ibd file size: 814.11 MB

269.0808 [M+H]+
PPM:0.1
Drosophila melanogaster brain MALDI (DHB)
Drosophila18 - 2019-10-16_14h26m34s
Resolution: 5μm, 686x685

Description

Sample information Organism: Drosophila melanogaster Organism part: Brain Condition: Healthy Sample preparation Sample stabilisation: Frozen Tissue modification: Frozen MALDI matrix: 2,5-dihydroxybenzoic acid (DHB) MALDI matrix application: TM sprayer Solvent: Aceton/water MS analysis Polarity: Positive Ionisation source: Prototype Analyzer: Orbitrap Pixel size: 5μm × 5μm Annotation settings m/z tolerance (ppm): 3 Analysis version: Original MSM Pixel count: 469910 Imzml file size: 696.23 MB Ibd file size: 814.11 MB


Formononetin is a member of the class of 7-hydroxyisoflavones that is 7-hydroxyisoflavone substituted by a methoxy group at position 4. It has a role as a phytoestrogen and a plant metabolite. It is a member of 7-hydroxyisoflavones and a member of 4-methoxyisoflavones. It is functionally related to a daidzein. It is a conjugate acid of a formononetin(1-). Formononetin is under investigation in clinical trial NCT02174666 (Isoflavone Treatment for Postmenopausal Osteopenia.). Formononetin is a natural product found in Pterocarpus indicus, Ardisia paniculata, and other organisms with data available. See also: Astragalus propinquus root (part of); Trifolium pratense flower (part of). Formononetin are abundant in vegetables. It is a phyto-oestrogen that is a polyphenolic non-steroidal plant compound with oestrogen-like biological activity (PMID: 16108819). It can be the source of considerable estrogenic activity (http://www.herbalchem.net/Intermediate.htm). Widespread isoflavone found in soy beans (Glycine max), red clover (Trifolium pratense and chick peas (Cicer arietinum). Potential nutriceutical A member of the class of 7-hydroxyisoflavones that is 7-hydroxyisoflavone substituted by a methoxy group at position 4. D006730 - Hormones, Hormone Substitutes, and Hormone Antagonists > D006728 - Hormones > D004967 - Estrogens CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 8803; ORIGINAL_PRECURSOR_SCAN_NO 8802 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 8826; ORIGINAL_PRECURSOR_SCAN_NO 8825 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4484; ORIGINAL_PRECURSOR_SCAN_NO 4480 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4474; ORIGINAL_PRECURSOR_SCAN_NO 4471 DATA_PROCESSING MERGING RMBmix ver. 0.2.7; CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4474; ORIGINAL_PRECURSOR_SCAN_NO 4470 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 8863; ORIGINAL_PRECURSOR_SCAN_NO 8861 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4474; ORIGINAL_PRECURSOR_SCAN_NO 4470 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 8847; ORIGINAL_PRECURSOR_SCAN_NO 8844 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 8852; ORIGINAL_PRECURSOR_SCAN_NO 8851 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 8822; ORIGINAL_PRECURSOR_SCAN_NO 8821 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4569; ORIGINAL_PRECURSOR_SCAN_NO 4566 CONFIDENCE standard compound; INTERNAL_ID 301; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4507; ORIGINAL_PRECURSOR_SCAN_NO 4504 Acquisition and generation of the data is financially supported in part by CREST/JST. INTERNAL_ID 2291; CONFIDENCE Reference Standard (Level 1) CONFIDENCE Reference Standard (Level 1); INTERNAL_ID 2291 IPB_RECORD: 481; CONFIDENCE confident structure Formononetin is a potent FGFR2 inhibitor with an IC50 of ~4.31 μM. Formononetin potently inhibits angiogenesis and tumor growth[1]. Formononetin is a potent FGFR2 inhibitor with an IC50 of ~4.31 μM. Formononetin potently inhibits angiogenesis and tumor growth[1].