Biochanin A
Formula: C16H12O5 (284.0685)
Chinese Name: 鹰嘴豆素 A, 鹰嘴豆芽素A, 5,7-二羟基-4'-甲氧基异黄酮
BioDeep ID: BioDeep_00000000067
( View LC/MS Profile)
SMILES: C1(O)=CC2OC=C(C3C=CC(OC)=CC=3)C(=O)C=2C(O)=C1
Found 53 Sample Hits
m/z | Adducts | Species | Organ | Scanning | Sample | |
---|---|---|---|---|---|---|
267.0652 | [M+H-H2O]+PPM:0.1 |
Plant | Root | MALDI (DHB) |
MPIMM_035_QE_P_PO_6pm - MPIMM_035_QE_P_PO_6pmResolution: 30μm, 165x170
|
|
285.0788 | [M+H]+PPM:10.7 |
Plant | Root | MALDI (DHB) |
MPIMM_035_QE_P_PO_6pm - MPIMM_035_QE_P_PO_6pmResolution: 30μm, 165x170
|
|
307.0597 | [M+Na]+PPM:6.5 |
Plant | Root | MALDI (DHB) |
MPIMM_035_QE_P_PO_6pm - MPIMM_035_QE_P_PO_6pmResolution: 30μm, 165x170
|
|
267.0652 | [M+H-H2O]+PPM:0.1 |
Homo sapiens | Liver | MALDI (DHB) |
20171107_FIT4_DHBpos_p70_s50 - Rappez et al (2021) SpaceM reveals metabolic states of single cellsResolution: 50μm, 70x70
|
|
307.0599 | [M+Na]+PPM:7.2 |
Homo sapiens | Liver | MALDI (DHB) |
20171107_FIT4_DHBpos_p70_s50 - Rappez et al (2021) SpaceM reveals metabolic states of single cellsResolution: 50μm, 70x70
|
|
249.0554 | [M+H-2H2O]+PPM:3.1 |
Rattus norvegicus | Epididymis | MALDI (DHB) |
epik_dhb_head_ito08_43 - MTBLS58Resolution: 17μm, 298x106
|
|
249.0556 | [M+H-2H2O]+PPM:3.9 |
Rattus norvegicus | Epididymis | MALDI (DHB) |
epik_dhb_head_ito08_44 - MTBLS58Resolution: 17μm, 299x111
|
|
249.0555 | [M+H-2H2O]+PPM:3.5 |
Rattus norvegicus | Epididymis | MALDI (DHB) |
epik_dhb_head_ito08_47 - MTBLS58Resolution: 17μm, 301x111
|
|
249.0556 | [M+H-2H2O]+PPM:3.9 |
Rattus norvegicus | Epididymis | MALDI (DHB) |
epik_dhb_head_ito03_14 - MTBLS58Resolution: 17μm, 205x103
|
|
249.053 | [M+H-2H2O]+PPM:6.5 |
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. |
|
267.0647 | [M+H-H2O]+PPM:1.8 |
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. |
|
284.0641 | [M]+PPM:13.5 |
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. |
|
285.0776 | [M+H]+PPM:6.5 |
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. |
|
302.1079 | [M+NH4]+PPM:18.6 |
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. |
|
307.0596 | [M+Na]+PPM:6.2 |
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. |
|
267.0646 | [M+H-H2O]+PPM:2.2 |
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. |
|
285.0776 | [M+H]+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. |
|
307.0595 | [M+Na]+PPM:5.9 |
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. |
|
249.054 | [M+H-2H2O]+PPM:2.5 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
267.0652 | [M+H-H2O]+PPM:0.1 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
284.0638 | [M]+PPM:14.5 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
285.077 | [M+H]+PPM:4.4 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
302.108 | [M+NH4]+PPM:18.9 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
307.0601 | [M+Na]+PPM:7.8 |
Posidonia oceanica | root | MALDI (CHCA) |
20190613_MS1_A19r-18 - MTBLS1746Resolution: 17μm, 246x264
|
|
267.0651 | [M+H-H2O]+PPM:0.3 |
Posidonia oceanica | root | MALDI (CHCA) |
20190828_MS1_A19r-22 - MTBLS1746Resolution: 17μm, 292x279
|
|
302.1075 | [M+NH4]+PPM:17.2 |
Posidonia oceanica | root | MALDI (CHCA) |
20190828_MS1_A19r-22 - MTBLS1746Resolution: 17μm, 292x279
|
|
307.0598 | [M+Na]+PPM:6.9 |
Posidonia oceanica | root | MALDI (CHCA) |
20190828_MS1_A19r-22 - MTBLS1746Resolution: 17μm, 292x279
|
|
249.0529 | [M+H-2H2O]+PPM:6.9 |
Posidonia oceanica | root | MALDI (CHCA) |
MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
|
|
267.0647 | [M+H-H2O]+PPM:1.8 |
Posidonia oceanica | root | MALDI (CHCA) |
MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
|
|
284.0633 | [M]+PPM:16.3 |
Posidonia oceanica | root | MALDI (CHCA) |
MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
|
|
285.0772 | [M+H]+PPM:5.1 |
Posidonia oceanica | root | MALDI (CHCA) |
MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
|
|
307.0595 | [M+Na]+PPM:5.9 |
Posidonia oceanica | root | MALDI (CHCA) |
MS1_20180404_PO_1200 - MTBLS1746Resolution: 17μm, 193x208
|
|
267.0665 | [M+H-H2O]+PPM:4.9 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_3 - MTBLS385Resolution: 75μm, 121x68
|
|
323.171 | [M+K]+PPM:14.8 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_4 - MTBLS385Resolution: 17μm, 82x80
|
|
249.0515 | [M+H-2H2O]+PPM:12.5 |
Mus musculus | Liver | MALDI (CHCA) |
Salmonella_final_pos_recal - MTBLS2671Resolution: 17μm, 691x430
A more complete and holistic view on host–microbe interactions is needed to understand the physiological and cellular barriers that affect the efficacy of drug treatments and allow the discovery and development of new therapeutics. Here, we developed a multimodal imaging approach combining histopathology with mass spectrometry imaging (MSI) and same section imaging mass cytometry (IMC) to study the effects of Salmonella Typhimurium infection in the liver of a mouse model using the S. Typhimurium strains SL3261 and SL1344. This approach enables correlation of tissue morphology and specific cell phenotypes with molecular images of tissue metabolism. IMC revealed a marked increase in immune cell markers and localization in immune aggregates in infected tissues. A correlative computational method (network analysis) was deployed to find metabolic features associated with infection and revealed metabolic clusters of acetyl carnitines, as well as phosphatidylcholine and phosphatidylethanolamine plasmalogen species, which could be associated with pro-inflammatory immune cell types. By developing an IMC marker for the detection of Salmonella LPS, we were further able to identify and characterize those cell types which contained S. Typhimurium.
[dataset] Nicole Strittmatter. Holistic Characterization of a Salmonella Typhimurium Infection Model Using Integrated Molecular Imaging, metabolights_dataset, V1; 2022. https://www.ebi.ac.uk/metabolights/MTBLS2671. |
|
267.0608 | [M+H-H2O]+PPM:16.4 |
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. |
|
285.0737 | [M+H]+PPM:7.2 |
Mus musculus | Liver | MALDI (CHCA) |
Salmonella_final_pos_recal - MTBLS2671Resolution: 17μm, 691x430
A more complete and holistic view on host–microbe interactions is needed to understand the physiological and cellular barriers that affect the efficacy of drug treatments and allow the discovery and development of new therapeutics. Here, we developed a multimodal imaging approach combining histopathology with mass spectrometry imaging (MSI) and same section imaging mass cytometry (IMC) to study the effects of Salmonella Typhimurium infection in the liver of a mouse model using the S. Typhimurium strains SL3261 and SL1344. This approach enables correlation of tissue morphology and specific cell phenotypes with molecular images of tissue metabolism. IMC revealed a marked increase in immune cell markers and localization in immune aggregates in infected tissues. A correlative computational method (network analysis) was deployed to find metabolic features associated with infection and revealed metabolic clusters of acetyl carnitines, as well as phosphatidylcholine and phosphatidylethanolamine plasmalogen species, which could be associated with pro-inflammatory immune cell types. By developing an IMC marker for the detection of Salmonella LPS, we were further able to identify and characterize those cell types which contained S. Typhimurium.
[dataset] Nicole Strittmatter. Holistic Characterization of a Salmonella Typhimurium Infection Model Using Integrated Molecular Imaging, metabolights_dataset, V1; 2022. https://www.ebi.ac.uk/metabolights/MTBLS2671. |
|
302.1005 | [M+NH4]+PPM:19.9 |
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. |
|
267.0674 | [M+H-H2O]+PPM:8.3 |
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). |
|
267.0684 | [M+H-H2O]+PPM:12.1 |
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). |
|
267.068 | [M+H-H2O]+PPM:10.6 |
Homo sapiens | NA | DESI () |
160TopL,130TopR,150BottomL,140BottomR-profile - MTBLS415Resolution: 17μm, 142x136
|
|
323.1695 | [M+K]+PPM:10.1 |
Homo sapiens | esophagus | DESI () |
LNTO26_7_2 - MTBLS385Resolution: 17μm, 135x101
|
|
323.1693 | [M+K]+PPM:9.5 |
Homo sapiens | esophagus | DESI () |
TO29T - MTBLS385Resolution: 75μm, 56x48
|
|
267.0669 | [M+H-H2O]+PPM:6.4 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_5 - MTBLS385Resolution: 75μm, 135x94
|
|
285.0774 | [M+H]+PPM:5.8 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_5 - MTBLS385Resolution: 75μm, 135x94
|
|
323.1694 | [M+K]+PPM:9.8 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_5 - MTBLS385Resolution: 75μm, 135x94
|
|
249.0559 | [M+H-2H2O]+PPM:5.2 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_8 - MTBLS385Resolution: 75μm, 69x61
|
|
267.0666 | [M+H-H2O]+PPM:5.3 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_8 - MTBLS385Resolution: 75μm, 69x61
|
|
307.0617 | [M+Na]+PPM:13.1 |
Homo sapiens | esophagus | DESI () |
LNTO22_1_8 - MTBLS385Resolution: 75μm, 69x61
|
|
267.0662 | [M+H-H2O]+PPM:3.8 |
Homo sapiens | esophagus | DESI () |
LNTO22_2_1 - MTBLS385Resolution: 75μm, 89x88
|
|
323.1692 | [M+K]+PPM:9.2 |
Homo sapiens | esophagus | DESI () |
LNTO26_16_1 - MTBLS385Resolution: 75μm, 95x88
|
|
267.0653 | [M+H-H2O]+PPM:0.4 |
Drosophila melanogaster | brain | MALDI (DHB) |
Drosophila18 - 2019-10-16_14h26m34sResolution: 5μm, 686x685
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 |
|
307.0607 | [M+Na]+PPM:9.8 |
Drosophila melanogaster | brain | MALDI (DHB) |
Drosophila18 - 2019-10-16_14h26m34sResolution: 5μm, 686x685
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 |
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Biochanin A is a member of the class of 7-hydroxyisoflavones that is 7-hydroxyisoflavone which is substituted by an additional hydroxy group at position 5 and a methoxy group at position 4. A phytoestrogen, it has putative benefits in dietary cancer prophylaxis. It has a role as a phytoestrogen, a plant metabolite, an EC 3.5.1.99 (fatty acid amide hydrolase) inhibitor, a tyrosine kinase inhibitor and an antineoplastic agent. It is a member of 7-hydroxyisoflavones and a member of 4-methoxyisoflavones. It is a conjugate acid of a biochanin A(1-). Biochanin A is under investigation in clinical trial NCT02174666 (Isoflavone Treatment for Postmenopausal Osteopenia.). biochanin A is a natural product found in Dalbergia oliveri, Dalbergia sissoo, and other organisms with data available. The phytoestrogen biochanin A is an isoflavone derivative isolated from red clover Trifolium pratense with anticarcinogenic properties. Treating MCF-7 human breast carcinoma cells with biochanin A alone caused the accumulation of CYP1A1 mRNA and an increase in CYP1A1-specific 7-ethoxyresorufin O-deethylase (EROD) activity in a dose dependent manner. Biochanin A may be a natural ligand to bind on aryl hydrocarbon receptor acting as an antagonist/agonist of the pathway. (A7920). Biochanin A suppress nuclear factor-kappaB-driven interleukin-6 (IL6) expression. In addition to its physiologic immune function as an acute stress cytokine, sustained elevated expression levels of IL6 promote chronic inflammatory disorders, aging frailty, and tumorigenesis. (A7921). Biochanin A induces a decrease in invasive activity of U87MG cells in a dose-related manner. (A7922). Biochanin A activates peroxisome proliferator-activated receptors (PPAR) PPARalpha, PPARgamma, and adipocyte differentiation in vitro of 3T3-L1 preadipocytes, suggesting potential value of isoflavones, especially biochanin A and their parent botanicals, as antidiabetic agents and for use in regulating lipid metabolism. (A7923). See also: Trifolium pratense flower (part of). The phytoestrogen biochanin A is an isoflavone derivative isolated from red clover Trifolium pratense with anticarcinogenic properties. Treating MCF-7 human breast carcinoma cells with biochanin A alone caused the accumulation of CYP1A1 mRNA and an increase in CYP1A1-specific 7-ethoxyresorufin O-deethylase (EROD) activity in a dose dependent manner. Biochanin A may be a natural ligand to bind on aryl hydrocarbon receptor acting as an antagonist/agonist of the pathway. (PMID: 16903077). Biochanin A suppress nuclear factor-kappaB-driven interleukin-6 (IL6) expression. In addition to its physiologic immune function as an acute stress cytokine, sustained elevated expression levels of IL6 promote chronic inflammatory disorders, aging frailty, and tumorigenesis. (PMID: 16651441). Biochanin A induces a decrease in invasive activity of U87MG cells in a dose-related manner. (PMID: 16598420). Biochanin A activates peroxisome proliferator-activated receptors (PPAR) PPARalpha, PPARgamma, and adipocyte differentiation in vitro of 3T3-L1 preadipocytes, suggesting potential value of isoflavones, especially biochanin A and their parent botanicals, as antidiabetic agents and for use in regulating lipid metabolism. (PMID: 16549448). A member of the class of 7-hydroxyisoflavones that is 7-hydroxyisoflavone which is substituted by an additional hydroxy group at position 5 and a methoxy group at position 4. A phytoestrogen, it has putative benefits in dietary cancer prophylaxis. Widespread isoflavone found in alfalfa (Medicago sativa), chick peas (Cicer arietinum) and white clover (Trifolium repens). Glycosides also widespread. Potential nutriceutical D006730 - Hormones, Hormone Substitutes, and Hormone Antagonists > D006728 - Hormones > D004967 - Estrogens D020011 - Protective Agents > D016588 - Anticarcinogenic Agents D000970 - Antineoplastic Agents CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 9176; ORIGINAL_PRECURSOR_SCAN_NO 9175 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4338; ORIGINAL_PRECURSOR_SCAN_NO 4335 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 9201; ORIGINAL_PRECURSOR_SCAN_NO 9199 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 9188; ORIGINAL_PRECURSOR_SCAN_NO 9183 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4313; ORIGINAL_PRECURSOR_SCAN_NO 4310 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 9213; ORIGINAL_PRECURSOR_SCAN_NO 9210 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4329; ORIGINAL_PRECURSOR_SCAN_NO 4326 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 9187; ORIGINAL_PRECURSOR_SCAN_NO 9186 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4328; ORIGINAL_PRECURSOR_SCAN_NO 4326 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 4310; ORIGINAL_PRECURSOR_SCAN_NO 4307 CONFIDENCE standard compound; INTERNAL_ID 960; DATASET 20200303_ENTACT_RP_MIX502; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 9197; ORIGINAL_PRECURSOR_SCAN_NO 9194 IPB_RECORD: 181; CONFIDENCE confident structure Biochanin A is a naturally occurring fatty acid amide hydrolase (FAAH) inhibitor, which inhibits FAAH with IC50s of 1.8, 1.4 and 2.4 μM for mouse, rat, and human FAAH, respectively. Biochanin A is a naturally occurring fatty acid amide hydrolase (FAAH) inhibitor, which inhibits FAAH with IC50s of 1.8, 1.4 and 2.4 μM for mouse, rat, and human FAAH, respectively. Biochanin A is a naturally occurring fatty acid amide hydrolase (FAAH) inhibitor, which inhibits FAAH with IC50s of 1.8, 1.4 and 2.4 μM for mouse, rat, and human FAAH, respectively.