Adenosine

(2R,3R,4S,5R)-2-(6-amino-9H-purin-9-yl)-5-(hydroxymethyl)oxolane-3,4-diol

Formula: C10H13N5O4 (267.0967)
Chinese Name: 腺嘌呤核苷, 腺苷
BioDeep ID: BioDeep_00000000083 ( View LC/MS Profile)
SMILES: NC1=C2N=CN([C@@H]3O[C@H](CO)[C@@H](O)[C@H]3O)C2=NC=N1



Found 28 Sample Hits

m/z Adducts Species Organ Scanning Sample
250.0941 [M+H-H2O]+
PPM:2.6
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

232.0866 [M+H-2H2O]+
PPM:16
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.

250.0952 [M+H-H2O]+
PPM: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.

267.1165 [M-H2O+NH4]+
PPM:13.1
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.

285.1275 [M+NH4]+
PPM:10.8
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.

232.0868 [M+H-2H2O]+
PPM:16.8
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

250.096 [M+H-H2O]+
PPM:10.2
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

267.1165 [M-H2O+NH4]+
PPM:13.1
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

285.1276 [M+NH4]+
PPM:10.4
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

290.0916 [M+Na]+
PPM:19.4
Posidonia oceanica root MALDI (CHCA)
20190613_MS1_A19r-18 - MTBLS1746
Resolution: 17μm, 246x264

Description

267.1166 [M-H2O+NH4]+
PPM:12.8
Posidonia oceanica root MALDI (CHCA)
20190828_MS1_A19r-22 - MTBLS1746
Resolution: 17μm, 292x279

Description

232.087 [M+H-2H2O]+
PPM:17.7
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

267.1167 [M-H2O+NH4]+
PPM:12.4
Posidonia oceanica root MALDI (CHCA)
MS1_20180404_PO_1200 - MTBLS1746
Resolution: 17μm, 193x208

Description

267.116 [M-H2O+NH4]+
PPM:15
Homo sapiens esophagus DESI ()
LNTO22_1_3 - MTBLS385
Resolution: 75μm, 121x68

Description

285.1266 [M+NH4]+
PPM:13.9
Homo sapiens esophagus DESI ()
LNTO22_1_3 - MTBLS385
Resolution: 75μm, 121x68

Description

285.136 [M+NH4]+
PPM:19
Homo sapiens esophagus DESI ()
LNTO22_1_4 - MTBLS385
Resolution: 17μm, 82x80

Description

306.1949 [M+K]+
PPM:1.3
Rattus norvegicus Brain MALDI (CHCA)
2018June2820180628_brain_POS_3s2_validated - MTBLS3154
Resolution: 17μm, 213x141

Description

All MSI experiments were performed on a hybrid linear ion trap 21 T FT-ICR mass spectrometer at the National High Magnetic Field Laboratory (NHMFL) at Florida State University (Tallahassee, FL). A Velos Pro linear ion trap (Thermo Scientific, San Jose, CA) was combined with NHMFL-designed external linear quadrupole ion trap, quadrupole ion transfer optics and a novel dynamically harmonized ICR cell, which is operated at 7.5 V trapping potential[1]. Briefly, the cell uses 120° cell segments for ion excitation and detection, for improved excitation electric field, detection sensitivity and reduced third harmonic signals[2][3]. The commercial ion source and stacked ring ion guide were replaced with an elevated-pressure MALDI ion source incorporating a dual-ion funnel interface (Spectroglyph LLC, Kennewick, WA) as has been described previously[4]. Voltages within the funnels were 625 kHz, 150 V peak-to-peak (first, high-pressure ion funnel) and 1.2 MHz, 90 V peak-to-peak (second, low-pressure ion funnel). An electric field gradient of ∼10 V/cm was maintained within the dual-funnel system, with a gradient of 100 V/cm between the sample and the funnel inlet. The system was equipped with a Q-switched, frequency-tripled Nd:YLF laser emitting 349 nm light (Explorer One, Spectra Physics, Mountain View, CA). The laser was operated at a repetition rate of 1 kHz and pulse energy of ∼1.2 μJ. Pressure within the ion source was set to 10 mbar in the first ion funnel and 2 mbar in the second ion funnel. MALDI stage motion was synchronized with ion accumulation using the Velos trigger signal indicating commencement of the ion trap injection event, as previously described[4]. The mass spectrometer was operated with an ion injection time of 250 ms and automatic gain control (AGC) was turned off. A transient duration of 3.1 s was used for ultrahigh mass resolving power analyses, resulting in a total time of 4s per pixel. Spectra were obtained in both positive and negative mode, at 100 μm spatial resolution. Total number of pixels per brain section were approximately 22 000 and 24 h of experimental time. A Predator data station was used for ion excitation and detection[5]. Refs: [1] Hendrickson CL, Quinn JP, Kaiser NK, Smith DF, Blakney GT, Chen T, Marshall AG, Weisbrod CR, Beu SC. 21 Tesla Fourier Transform Ion Cyclotron Resonance Mass Spectrometer: A National Resource for Ultrahigh Resolution Mass Analysis. J Am Soc Mass Spectrom. 2015 Sep;26(9):1626-32. doi:10.1007/s13361-015-1182-2. Epub 2015 Jun 20. PMID:26091892. [2] Hendrickson CL, Beu SC, Blakney GT, Kaiser NK, McIntosh DG, Quinn JP, Marshall AG. In Optimized cell geometry for Fourier transform ion cyclotron resonance mass spectrometry, Proceedings of the 57th ASMS Conference on Mass Spectrometry and Allied Topics, Philadelphia, PA, May 31 to June 4; Philadelphia, PA, 2009. [3] Chen T, Beu SC, Kaiser NK, Hendrickson CL. Note: Optimized circuit for excitation and detection with one pair of electrodes for improved Fourier transform ion cyclotron resonance mass spectrometry. Rev Sci Instrum. 2014 Jun;85(6):066107. doi:10.1063/1.4883179. PMID:24985871. [4] Belov ME, Ellis SR, Dilillo M, Paine MRL, Danielson WF, Anderson GA, de Graaf EL, Eijkel GB, Heeren RMA, McDonnell LA. Design and Performance of a Novel Interface for Combined Matrix-Assisted Laser Desorption Ionization at Elevated Pressure and Electrospray Ionization with Orbitrap Mass Spectrometry. Anal Chem. 2017 Jul 18;89(14):7493-7501. doi:10.1021/acs.analchem.7b01168. Epub 2017 Jun 28. PMID:28613836. [5] Blakney GT, Hendrickson CL, Marshall AG. Predator data station: A fast data acquisition system for advanced FT-ICR MS experiments. Int. J. Mass Spectrom. 2011;306 (2-3), 246- 252. doi:10.1016/j.ijms.2011.03.009.

250.0937 [M+H-H2O]+
PPM: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.

268.1032 [M+H]+
PPM:3.1
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.

285.1263 [M+NH4]+
PPM:15
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).

267.1158 [M-H2O+NH4]+
PPM:15.8
Homo sapiens esophagus DESI ()
LNTO22_1_8 - MTBLS385
Resolution: 75μm, 69x61

Description

285.1265 [M+NH4]+
PPM:14.3
Homo sapiens esophagus DESI ()
LNTO22_1_8 - MTBLS385
Resolution: 75μm, 69x61

Description

285.1269 [M+NH4]+
PPM:12.9
Homo sapiens esophagus DESI ()
LNTO22_2_2 - MTBLS385
Resolution: 75μm, 135x94

Description

250.0929 [M+H-H2O]+
PPM:2.2
Mus musculus brain MALDI (DHB)
Brain02_Bregma1-42_03 - MTBLS313
Resolution: 17μm, 483x403

Description

250.0929 [M+H-H2O]+
PPM:2.2
Mus musculus brain MALDI (DHB)
Brain02_Bregma-3-88 - MTBLS313
Resolution: 17μm, 288x282

Description

268.1034 [M+H]+
PPM:2.3
Mus musculus brain MALDI (DHB)
Brain02_Bregma-3-88 - MTBLS313
Resolution: 17μm, 288x282

Description

250.0929 [M+H-H2O]+
PPM:2.2
Mus musculus brain MALDI (DHB)
Brain02_Bregma-1-46 - MTBLS313
Resolution: 17μm, 294x399

Description

268.1034 [M+H]+
PPM:2.3
Mus musculus brain MALDI (DHB)
Brain02_Bregma-1-46 - MTBLS313
Resolution: 17μm, 294x399

Description


Adenosine is a ribonucleoside composed of a molecule of adenine attached to a ribofuranose moiety via a beta-N(9)-glycosidic bond. It has a role as an anti-arrhythmia drug, a vasodilator agent, an analgesic, a human metabolite and a fundamental metabolite. It is a purines D-ribonucleoside and a member of adenosines. It is functionally related to an adenine. The structure of adenosine was first described in 1931, though the vasodilating effects were not described in literature until the 1940s. Adenosine is indicated as an adjunct to thallium-201 in myocardial perfusion scintigraphy, though it is rarely used in this indication, having largely been replaced by [dipyridamole] and [regadenson]. Adenosine is also indicated in the treatment of supraventricular tachycardia. Adenosine was granted FDA approval on 30 October 1989. Adenosine is a metabolite found in or produced by Escherichia coli (strain K12, MG1655). Adenosine is an Adenosine Receptor Agonist. The mechanism of action of adenosine is as an Adenosine Receptor Agonist. Adenosine is a natural product found in Smilax bracteata, Mikania laevigata, and other organisms with data available. Adenosine is a ribonucleoside comprised of adenine bound to ribose, with vasodilatory, antiarrhythmic and analgesic activities. Phosphorylated forms of adenosine play roles in cellular energy transfer, signal transduction and the synthesis of RNA. Adenosine is a nucleoside that is composed of adenine and d-ribose. Adenosine or adenosine derivatives play many important biological roles in addition to being components of DNA and RNA. For instance, adenosine plays an important role in energy transfer - as adenosine triphosphate (ATP) and adenosine diphosphate (ADP). It also plays a role in signal transduction as cyclic adenosine monophosphate, cAMP. Adenosine itself is both a neurotransmitter and potent vasodilator. When administered intravenously, adenosine causes transient heart block in the AV node. Because of the effects of adenosine on AV node-dependent supraventricular tachycardia, adenosine is considered a class V antiarrhythmic agent. Adenosine is a metabolite found in or produced by Saccharomyces cerevisiae. A nucleoside that is composed of adenine and d-ribose. Adenosine or adenosine derivatives play many important biological roles in addition to being components of DNA and RNA. Adenosine itself is a neurotransmitter. See also: Adenosine; Niacinamide (component of); Adenosine; Glycerin (component of); Adenosine; ginsenosides (component of) ... View More ... Adenosine is a nucleoside that is composed of adenine and D-ribose. Adenosine or adenosine derivatives play many important biological roles in addition to being components of DNA and RNA. For instance, adenosine plays an important role in energy transfer as adenosine triphosphate (ATP) and adenosine diphosphate (ADP). It also plays a role in signal transduction as cyclic adenosine monophosphate (cAMP). Adenosine itself is both a neurotransmitter and potent vasodilator. When administered intravenously adenosine causes transient heart block in the AV node. Due to the effects of adenosine on AV node-dependent supraventricular tachycardia, adenosine is considered a class V antiarrhythmic agent. Overdoses of adenosine intake (as a drug) can lead to several side effects including chest pain, feeling faint, shortness of breath, and tingling of the senses. Serious side effects include a worsening dysrhythmia and low blood pressure. When present in sufficiently high levels, adenosine can act as an immunotoxin and a metabotoxin. An immunotoxin disrupts, limits the function, or destroys immune cells. A metabotoxin is an endogenous metabolite that causes adverse health effects at chronically high levels. Chronically high levels of adenosine are associated with adenosine deaminase deficiency. Adenosine is a precursor to deoxyadenosine, which is a precursor to dATP. A buildup of dATP in cells inhibits ribonucleotide reductase and prevents DNA synthesis, so cells are unable to divide. Since developing T cells and B cells are some of the most mitotically active cells, they are unable to divide and propagate to respond to immune challenges. High levels of deoxyadenosine also lead to an increase in S-adenosylhomocysteine, which is toxic to immature lymphocytes. Adenosine is a nucleoside composed of a molecule of adenine attached to a ribose sugar molecule (ribofuranose) moiety via a beta-N9-glycosidic bond. [Wikipedia]. Adenosine is found in many foods, some of which are borage, japanese persimmon, nuts, and barley. COVID info from PDB, Protein Data Bank, COVID-19 Disease Map, clinicaltrial, clinicaltrials, clinical trial, clinical trials A ribonucleoside composed of a molecule of adenine attached to a ribofuranose moiety via a beta-N(9)-glycosidic bond. Adenosine. CAS Common Chemistry. CAS, a division of the American Chemical Society, n.d. https://commonchemistry.cas.org/detail?cas_rn=58-61-7 (retrieved 2024-06-29) (CAS RN: 58-61-7). Licensed under the Attribution-Noncommercial 4.0 International License (CC BY-NC 4.0). Adenosine (Adenine riboside), a ubiquitous endogenous autacoid, acts through the enrollment of four G protein-coupled receptors: A1, A2A, A2B, and A3. Adenosine affects almost all aspects of cellular physiology, including neuronal activity, vascular function, platelet aggregation, and blood cell regulation[1][2]. Adenosine (Adenine riboside), a ubiquitous endogenous autacoid, acts through the enrollment of four G protein-coupled receptors: A1, A2A, A2B, and A3. Adenosine affects almost all aspects of cellular physiology, including neuronal activity, vascular function, platelet aggregation, and blood cell regulation[1][2]. Adenosine (Adenine riboside), a ubiquitous endogenous autacoid, acts through the enrollment of four G protein-coupled receptors: A1, A2A, A2B, and A3. Adenosine affects almost all aspects of cellular physiology, including neuronal activity, vascular function, platelet aggregation, and blood cell regulation[1][2].