在BioDeep NovoCell知识数据库中,参考离子总共被划分为4个级别。
  • Confirmed: 这个参考离子已经通过手动审计得到确认和验证。
  • Reliable: 这个参考离子可能在特定的解剖组织环境中高度保守。
  • Unreliable: 这个参考离子具有较高的排名价值,但缺乏可重复性。
  • Unavailable: 由于排名价值低且缺乏可重复性,这个参考离子不应用于注释。

Found 9 Reference Ions Near m/z 390.0033
NovoCell ID m/z Mass Window Metabolite Ranking Anatomy Context
MSI_000046011 Reliable 390.0106 390.0106 ~ 390.0106
MzDiff: none
Brevifolincarboxylic acid 9-sulfate (BioDeep_00000033972)
Formula: C13H8O11S (371.9787)
7.12 (100%) Mus musculus
[UBERON:0002107] liver
MSI_000040628 Unreliable 390.0033 390.0032 ~ 390.0035
MzDiff: 0.9 ppm
2-(2,6-dichloro-3,5-dimethoxyphenyl)furo[2,3-h]chromen-4-one (BioDeep_00002174423)
Formula: C19H12Cl2O5 (390.0062)
2.85 (100%) Posidonia oceanica
[PO:0006036] root epidermis
MSI_000012936 Unavailable 390.0033 390.0033 ~ 390.0033
MzDiff: none
Sodium iron versenate (BioDeep_00000228131)
Formula: C10H12FeN2Na2O8 (389.9738)
-0.55 (100%) Plant
[PO:0005020] vascular bundle
MSI_000013937 Unavailable 390.0033 390.0033 ~ 390.0033
MzDiff: none
Sodium iron versenate (BioDeep_00000228131)
Formula: C10H12FeN2Na2O8 (389.9738)
-0.1 (100%) Plant
[PO:0005417] phloem
MSI_000015095 Unavailable 390.0033 390.0033 ~ 390.0033
MzDiff: none
Sodium iron versenate (BioDeep_00000228131)
Formula: C10H12FeN2Na2O8 (389.9738)
-0.56 (100%) Plant
[PO:0006036] root epidermis
MSI_000018485 Unreliable 390.0033 390.0033 ~ 390.0033
MzDiff: none
Sodium iron versenate (BioDeep_00000228131)
Formula: C10H12FeN2Na2O8 (389.9738)
1.75 (100%) Plant
[PO:0020124] root stele
MSI_000020171 Unavailable 390.0033 390.0033 ~ 390.0033
MzDiff: none
Sodium iron versenate (BioDeep_00000228131)
Formula: C10H12FeN2Na2O8 (389.9738)
-0.54 (100%) Plant
[PO:0025197] stele
MSI_000032770 Unreliable 390.0131 390.0131 ~ 390.0131
MzDiff: none
2,4-dibromo-6-{1,2-dimethylbicyclo[3.1.0]hexan-2-yl}-3-methylphenol (BioDeep_00002145553)
Formula: C15H18Br2O (371.9724)
0.32 (100%) Posidonia oceanica
[PO:0005020] vascular bundle
MSI_000033916 Unreliable 390.0131 390.0131 ~ 390.0131
MzDiff: none
2,4-dibromo-6-{1,2-dimethylbicyclo[3.1.0]hexan-2-yl}-3-methylphenol (BioDeep_00002145553)
Formula: C15H18Br2O (371.9724)
0.26 (100%) Posidonia oceanica
[PO:0005352] xylem

Found 4 Sample Hits
Metabolite Species Sample
Sodium iron versenate

Formula: C10H12FeN2Na2O8 (389.9738)
Adducts: [M-H2O+NH4]+ (Ppm: 15.9)
Plant (Root)
MPIMM_035_QE_P_PO_6pm
Resolution: 30μm, 165x170

Description

2-(2,6-dichloro-3,5-dimethoxyphenyl)furo[2,3-h]chromen-4-one

Formula: C19H12Cl2O5 (390.0062)
Adducts: [M]+ (Ppm: 6.2)
Posidonia oceanica (root)
20190822_MS1_A19r-19
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.

2-(2,6-dichloro-3,5-dimethoxyphenyl)furo[2,3-h]chromen-4-one

Formula: C19H12Cl2O5 (390.0062)
Adducts: [M]+ (Ppm: 5.5)
Posidonia oceanica (root)
MS1_20180404_PO_1200
Resolution: 17μm, 193x208

Description

Brevifolincarboxylic acid 9-sulfate

Formula: C13H8O11S (371.9787)
Adducts: [M+NH4]+ (Ppm: 5)
Mus musculus (Liver)
Salmonella_final_pos_recal
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.